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/ 1588753694 0 0 0 657664 `
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_ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZN2cv3dnn23experimental_dnn_34_v1120OpenCLBackendWrapper13getUMatVectorERKSt6vectorINS_3PtrINS1_14BackendWrapperEEESaIS6_EE _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl12forwardLayerERNS1_9LayerDataE _ZZN2cv3dnn23experimental_dnn_34_v113Net4Impl12forwardLayerERNS1_9LayerDataEE26__cv_trace_location_fn2211 _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl14forwardToLayerERNS1_9LayerDataEb _ZZN2cv3dnn23experimental_dnn_34_v113Net4Impl14forwardToLayerERNS1_9LayerDataEbE26__cv_trace_location_fn2397 _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v1114BackendWrapperEEESaIS5_EED2Ev _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v1114BackendWrapperEEESaIS5_EED1Ev _ZN2cv3PtrINS_3dnn23experimental_dnn_34_v1114BackendWrapperEEaSERKS4_ _ZNSt6vectorIN2cv3dnn23experimental_dnn_34_v118LayerPinESaIS3_EEaSERKS5_ _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v1114BackendWrapperEEESaIS5_EEaSERKS7_ _ZNK2cv3PtrINS_3dnn23experimental_dnn_34_v115LayerEE11dynamicCastINS2_15ActivationLayerEEENS0_IT_EEv _ZTIN2cv3dnn23experimental_dnn_34_v1115ActivationLayerE _ZNSt6vectorIS_IS_IiSaIiEESaIS1_EESaIS3_EED2Ev _ZNSt6vectorIS_IS_IiSaIiEESaIS1_EESaIS3_EED1Ev _ZNSt6vectorIN2cv3dnn23experimental_dnn_34_v116TargetESaIS3_EE19_M_emplace_back_auxIJRKS3_EEEvDpOT_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E _ZNSt8_Rb_treeIiiSt9_IdentityIiESt4lessIiESaIiEE8_M_eraseEPSt13_Rb_tree_nodeIiE _ZNSt8_Rb_treeIiSt4pairIKiN2cv3PtrINS2_3dnn23experimental_dnn_34_v1111BackendNodeEEEESt10_Select1stIS8_ESt4lessIiESaIS8_EE8_M_eraseEPSt13_Rb_tree_nodeIS8_E _ZN2cv3dnn23experimental_dnn_34_v119LayerDataD2Ev _ZN2cv3dnn23experimental_dnn_34_v119LayerDataD1Ev _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_iESt10_Select1stIS6_ESt4lessIS3_ESaIS6_EE4findERS5_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_S3_ESt10_Select1stIS6_ESt4lessIS3_ESaIS6_EE4findERS5_ _ZN2cv3dnn23experimental_dnn_34_v1111BlobManager13numReferencesERKNS1_8LayerPinE _ZN2cv3dnn23experimental_dnn_34_v1111BlobManager16releaseReferenceERKNS1_8LayerPinE _ZNSt6vectorIN2cv3dnn23experimental_dnn_34_v118LayerPinESaIS3_EE12emplace_backIJS3_EEEvDpOT_ _ZNSt8_Rb_treeIiSt4pairIKiSt6vectorIiSaIiEEESt10_Select1stIS5_ESt4lessIiESaIS5_EE8_M_eraseEPSt13_Rb_tree_nodeIS5_E _ZNSt6vectorIiSaIiEE19_M_emplace_back_auxIJRKiEEEvDpOT_ _ZNK2cv3dnn23experimental_dnn_34_v113Net23getUnconnectedOutLayersEv _ZNSt8_Rb_treeIiSt4pairIKiN2cv3dnn23experimental_dnn_34_v119LayerDataEESt10_Select1stIS6_ESt4lessIiESaIS6_EE8_M_eraseEPSt13_Rb_tree_nodeIS6_E _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE8_M_eraseEPSt13_Rb_tree_nodeIS4_E _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_iESt10_Select1stIS6_ESt4lessIS3_ESaIS6_EE8_M_eraseEPSt13_Rb_tree_nodeIS6_E _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_S3_ESt10_Select1stIS6_ESt4lessIS3_ESaIS6_EE8_M_eraseEPSt13_Rb_tree_nodeIS6_E _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_NS0_3MatEESt10_Select1stIS7_ESt4lessIS3_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E _ZN2cv3dnn23experimental_dnn_34_v1111BlobManagerD2Ev _ZN2cv3dnn23experimental_dnn_34_v1111BlobManagerD1Ev _ZNSt8_Rb_treeIPvSt4pairIKS0_N2cv3PtrINS3_3dnn23experimental_dnn_34_v1114BackendWrapperEEEESt10_Select1stIS9_ESt4lessIS0_ESaIS9_EE8_M_eraseEPSt13_Rb_tree_nodeIS9_E _ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v113Net4ImplENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE4findERS3_ _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl12getLayerDataERKNS_6StringE _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl12getLayerDataERKNS1_9DictValueE _ZN2cv3dnn23experimental_dnn_34_v113Net10getLayerIdERKNS_6StringE _ZNSt6vectorIN2cv3dnn23experimental_dnn_34_v118LayerPinESaIS3_EE17_M_default_appendEm _ZNSt8_Rb_treeIiiSt9_IdentityIiESt4lessIiESaIiEE16_M_insert_uniqueIRKiEESt4pairISt17_Rb_tree_iteratorIiEbEOT_ _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl7connectEiiii _ZN2cv3dnn23experimental_dnn_34_v113Net7connectEiiii _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v1114BackendWrapperEEESaIS5_EE17_M_default_appendEm _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v1114BackendWrapperEEESaIS5_EE6resizeEm _ZNSt6vectorIPN2cv3MatESaIS2_EE17_M_default_appendEm _ZN2cv3dnn23experimental_dnn_34_v115Layer8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinES3_St9_IdentityIS3_ESt4lessIS3_ESaIS3_EE8_M_eraseEPSt13_Rb_tree_nodeIS3_E _ZNKSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinES3_St9_IdentityIS3_ESt4lessIS3_ESaIS3_EE4findERKS3_ _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v1114BackendWrapperEEESaIS5_EE19_M_emplace_back_auxIJRKS5_EEEvDpOT_ _ZNSt6vectorIN2cv4UMatESaIS1_EE17_M_default_appendEm _ZNSt6vectorIN2cv4UMatESaIS1_EE6resizeEm _ZN2cv3dnn23experimental_dnn_34_v115Layer16forward_fallbackERKNS_11_InputArrayERKNS_12_OutputArrayES8_ _ZN2cv3dnn23experimental_dnn_34_v115Layer7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES8_ _ZNSt6vectorIS_IN2cv3MatESaIS1_EESaIS3_EE17_M_default_appendEm _ZNSt6vectorIdSaIdEE17_M_default_appendEm _ZNSt6vectorIN2cv7Scalar_IdEESaIS2_EE17_M_default_appendEm _ZNSt6vectorIN2cv6StringESaIS1_EE19_M_emplace_back_auxIJRKS1_EEEvDpOT_ _ZNK2cv3dnn23experimental_dnn_34_v113Net13getLayerNamesEv _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_St6vectorIPFNS0_3PtrINS0_3dnn23experimental_dnn_34_v115LayerEEERNS7_11LayerParamsEESaISD_EEESt10_Select1stISG_ESt4lessIS1_ESaISG_EE8_M_eraseEPSt13_Rb_tree_nodeISG_E _ZNSt3mapIN2cv6StringESt6vectorIPFNS0_3PtrINS0_3dnn23experimental_dnn_34_v115LayerEEERNS5_11LayerParamsEESaISB_EESt4lessIS1_ESaISt4pairIKS1_SD_EEED2Ev _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_St6vectorIPFNS0_3PtrINS0_3dnn23experimental_dnn_34_v115LayerEEERNS7_11LayerParamsEESaISD_EEESt10_Select1stISG_ESt4lessIS1_ESaISG_EE4findERS3_ _ZN2cv3dnn23experimental_dnn_34_v1112LayerFactory19createLayerInstanceERKNS_6StringERNS1_11LayerParamsE _ZN2cv3dnn23experimental_dnn_34_v119LayerData16getLayerInstanceEv _ZZN2cv3dnn23experimental_dnn_34_v119LayerData16getLayerInstanceEvE25__cv_trace_location_fn504 _ZZN2cv3dnn23experimental_dnn_34_v119LayerData16getLayerInstanceEvE22__cv_trace_arg_type505 _ZN2cv3dnn23experimental_dnn_34_v113Net8getParamENS1_9DictValueEi _ZN2cv3dnn23experimental_dnn_34_v113Net8setParamENS1_9DictValueEiRKNS_3MatE _ZN2cv3dnn23experimental_dnn_34_v113Net8getLayerENS1_9DictValueE _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl13getPinByAliasERKNS_6StringE _ZN2cv3dnn23experimental_dnn_34_v113Net7connectENS_6StringES3_ _ZN2cv3dnn23experimental_dnn_34_v1112LayerFactory15unregisterLayerERKNS_6StringE _ZNSt6vectorIPFN2cv3PtrINS0_3dnn23experimental_dnn_34_v115LayerEEERNS3_11LayerParamsEESaIS9_EE19_M_emplace_back_auxIJRKS9_EEEvDpOT_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_St6vectorIPFNS0_3PtrINS0_3dnn23experimental_dnn_34_v115LayerEEERNS7_11LayerParamsEESaISD_EEESt10_Select1stISG_ESt4lessIS1_ESaISG_EE16_M_insert_uniqueIS2_IS1_SF_EEES2_ISt17_Rb_tree_iteratorISG_EbEOT_ _ZN2cv3dnn23experimental_dnn_34_v1112LayerFactory13registerLayerERKNS_6StringEPFNS_3PtrINS1_5LayerEEERNS1_11LayerParamsEE _ZNSt6vectorISt4pairIN2cv3dnn23experimental_dnn_34_v117BackendENS3_6TargetEESaIS6_EE19_M_emplace_back_auxIJS6_EEEvDpOT_ _ZNSt6vectorISt4pairIN2cv3dnn23experimental_dnn_34_v117BackendENS3_6TargetEESaIS6_EE12emplace_backIJS6_EEEvDpOT_ _ZN2cv3dnn23experimental_dnn_34_v1115BackendRegistry11getRegistryEv _ZGVZN2cv3dnn23experimental_dnn_34_v1115BackendRegistry11getRegistryEvE4impl _ZZN2cv3dnn23experimental_dnn_34_v1115BackendRegistry11getRegistryEvE4impl _ZN2cv3dnn23experimental_dnn_34_v1119getAvailableTargetsENS1_7BackendE _ZN2cv3dnn23experimental_dnn_34_v1120getAvailableBackendsEv _ZSt9__find_ifIN9__gnu_cxx17__normal_iteratorIPN2cv6StringESt6vectorIS3_SaIS3_EEEENS0_5__ops16_Iter_equals_valIKS3_EEET_SD_SD_T0_St26random_access_iterator_tag _ZN2cv3dnn23experimental_dnn_34_v119DataLayer17outputNameToIndexERKNS_6StringE _ZNSt6vectorIPN2cv3MatESaIS2_EE19_M_emplace_back_auxIJS2_EEEvDpOT_ _ZNSt8_Rb_treeIiSt4pairIKiN2cv3dnn23experimental_dnn_34_v119LayerDataEESt10_Select1stIS6_ESt4lessIiESaIS6_EE24_M_get_insert_unique_posERS1_ _ZNSt8_Rb_treeIiSt4pairIKiN2cv3dnn23experimental_dnn_34_v119LayerDataEESt10_Select1stIS6_ESt4lessIiESaIS6_EE16_M_insert_uniqueIS0_IiS5_EEES0_ISt17_Rb_tree_iteratorIS6_EbEOT_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE24_M_get_insert_unique_posERS3_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE16_M_insert_uniqueIS2_IS1_iEEES2_ISt17_Rb_tree_iteratorIS4_EbEOT_ _ZN2cv3dnn23experimental_dnn_34_v113Net4ImplC2Ev _ZTVN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v119DataLayerENS_14DefaultDeleterIS4_EEEE _ZN2cv3dnn23experimental_dnn_34_v113Net4ImplC1Ev _ZN2cv3dnn23experimental_dnn_34_v113NetC2Ev _ZTVN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v113Net4ImplENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn23experimental_dnn_34_v113NetC1Ev _ZNSt8_Rb_treeIiSt4pairIKiN2cv3dnn23experimental_dnn_34_v119LayerDataEESt10_Select1stIS6_ESt4lessIiESaIS6_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS6_ERS1_ _ZNSt3mapIiN2cv3dnn23experimental_dnn_34_v119LayerDataESt4lessIiESaISt4pairIKiS3_EEEixERS7_ _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl7getBlobERKNS1_8LayerPinE _ZZN2cv3dnn23experimental_dnn_34_v113Net4Impl7getBlobERKNS1_8LayerPinEE26__cv_trace_location_fn2491 _ZNK2cv3dnn23experimental_dnn_34_v113Net28getUnconnectedOutLayersNamesEv _ZNSt6vectorIlSaIlEE14_M_fill_insertEN9__gnu_cxx17__normal_iteratorIPlS1_EEmRKl _ZNSt6vectorIN2cv3dnn23experimental_dnn_34_v118LayerPinESaIS3_EE15_M_range_insertIN9__gnu_cxx17__normal_iteratorIPS3_S5_EEEEvSA_T_SB_St20forward_iterator_tag _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v115LayerEEESaIS5_EE19_M_emplace_back_auxIJS5_EEEvDpOT_ _ZN2cv3dnn23experimental_dnn_34_v113Net14getLayerInputsENS1_9DictValueE _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS4_ERS3_ _ZNK2cv3dnn23experimental_dnn_34_v113Net13getLayerTypesERSt6vectorINS_6StringESaIS4_EE _ZNSt6vectorImSaImEE19_M_emplace_back_auxIJmEEEvDpOT_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE7_M_copyINSD_11_Alloc_nodeEEEPSt13_Rb_tree_nodeIS7_EPKSH_PSt18_Rb_tree_node_baseRT_ _ZN2cv3dnn23experimental_dnn_34_v113Net8addLayerERKNS_6StringES5_RNS1_11LayerParamsE _ZZN2cv3dnn23experimental_dnn_34_v119LayerDataC4EiRKNS_6StringES5_RNS1_11LayerParamsEE25__cv_trace_location_fn471 _ZN2cv3dnn23experimental_dnn_34_v113Net14addLayerToPrevERKNS_6StringES5_RNS1_11LayerParamsE _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_iESt10_Select1stIS6_ESt4lessIS3_ESaIS6_EE24_M_get_insert_unique_posERS5_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_iESt10_Select1stIS6_ESt4lessIS3_ESaIS6_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS6_ERS5_ _ZNSt3mapIN2cv3dnn23experimental_dnn_34_v118LayerPinEiSt4lessIS3_ESaISt4pairIKS3_iEEEixERS7_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_S3_ESt10_Select1stIS6_ESt4lessIS3_ESaIS6_EE24_M_get_insert_unique_posERS5_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_S3_ESt10_Select1stIS6_ESt4lessIS3_ESaIS6_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS6_ERS5_ _ZNSt3mapIN2cv3dnn23experimental_dnn_34_v118LayerPinES3_St4lessIS3_ESaISt4pairIKS3_S3_EEEixERS7_ _ZN2cv3dnn23experimental_dnn_34_v1111BlobManager5reuseERKNS1_8LayerPinES5_ _ZNSt20__uninitialized_copyILb0EE13__uninit_copyIN9__gnu_cxx17__normal_iteratorIPKSt6vectorIiSaIiEES4_IS6_SaIS6_EEEEPS6_EET0_T_SE_SD_ _ZNSt6vectorIS_IiSaIiEESaIS1_EEC2ERKS3_ _ZNSt6vectorIS_IiSaIiEESaIS1_EEC1ERKS3_ _ZNSt6vectorIS_IS_IiSaIiEESaIS1_EESaIS3_EE19_M_emplace_back_auxIJRKS3_EEEvDpOT_ _ZNSt8_Rb_treeIiSt4pairIKiSt6vectorIiSaIiEEESt10_Select1stIS5_ESt4lessIiESaIS5_EE24_M_get_insert_unique_posERS1_ _ZNSt8_Rb_treeIiSt4pairIKiSt6vectorIiSaIiEEESt10_Select1stIS5_ESt4lessIiESaIS5_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS5_ERS1_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_NS0_3MatEESt10_Select1stIS7_ESt4lessIS3_ESaIS7_EE24_M_get_insert_unique_posERS5_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_NS0_3MatEESt10_Select1stIS7_ESt4lessIS3_ESaIS7_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS7_ERS5_ _ZN2cv3dnn23experimental_dnn_34_v1111BlobManager13reuseOrCreateERKSt6vectorIiSaIiEERKNS1_8LayerPinERNS_3MatEb _ZNSt8_Rb_treeIPvSt4pairIKS0_N2cv3PtrINS3_3dnn23experimental_dnn_34_v1114BackendWrapperEEEESt10_Select1stIS9_ESt4lessIS0_ESaIS9_EE24_M_get_insert_unique_posERS2_ _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl4wrapERNS_3MatE _ZNSt8_Rb_treeIiSt4pairIKiN2cv3PtrINS2_3dnn23experimental_dnn_34_v1111BackendNodeEEEESt10_Select1stIS8_ESt4lessIiESaIS8_EE24_M_get_insert_unique_posERS1_ _ZNSt8_Rb_treeIiSt4pairIKiN2cv3PtrINS2_3dnn23experimental_dnn_34_v1111BackendNodeEEEESt10_Select1stIS8_ESt4lessIiESaIS8_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS8_ERS1_ _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl17initHalideBackendEv _ZZN2cv3dnn23experimental_dnn_34_v113Net4Impl17initHalideBackendEvE26__cv_trace_location_fn1370 _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl11initBackendEv _ZZN2cv3dnn23experimental_dnn_34_v113Net4Impl11initBackendEvE26__cv_trace_location_fn1357 _ZZN2cv3dnn23experimental_dnn_34_v113Net4Impl20initInfEngineBackendEvE26__cv_trace_location_fn1463 _ZNSt27__uninitialized_default_n_1ILb0EE18__uninit_default_nIPN2cv3MatEmEET_S5_T0_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinES3_St9_IdentityIS3_ESt4lessIS3_ESaIS3_EE24_M_get_insert_unique_posERKS3_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinES3_St9_IdentityIS3_ESt4lessIS3_ESaIS3_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS3_ERKS3_ 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_ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn14BlankLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn14BlankLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn14BlankLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn14BlankLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZNK2cv3dnn14BlankLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZN2cv3dnn14BlankLayerImpl14supportBackendEi _ZN2cv3dnn23experimental_dnn_34_v1110BlankLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1110BlankLayerE _ZN2cv3dnn23experimental_dnn_34_v1110BlankLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1110BlankLayerD0Ev _ZN2cv3dnn14BlankLayerImplD2Ev _ZN2cv3dnn14BlankLayerImplD1Ev _ZN2cv3dnn14BlankLayerImplD0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn14BlankLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv DW.ref.__gxx_personality_v0 _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn14BlankLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn14BlankLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E24__cv_trace_location_fn95 _ZZN2cv3dnn14BlankLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E21__cv_trace_arg_name96 _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD1Ev _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ _ZN2cv3dnn23experimental_dnn_34_v1110BlankLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn14BlankLayerImplE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn14BlankLayerImplENS_14DefaultDeleterIS3_EEEE _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1110BlankLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1110BlankLayerE _ZTSN2cv3dnn14BlankLayerImplE _ZTIN2cv3dnn14BlankLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn14BlankLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn14BlankLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn14BlankLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E27__cv_trace_arg_extra_name96 _ZZN2cv3dnn14BlankLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E30__cv_trace_location_extra_fn95 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn15ConcatLayerImpl10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv3dnn15ConcatLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn15ConcatLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15ConcatLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15ConcatLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn15ConcatLayerImpl14supportBackendEi _ZNK2cv3dnn15ConcatLayerImpl20ChannelConcatInvokerclERKNS_5RangeE _ZN2cv3dnn15ConcatLayerImpl20ChannelConcatInvokerD2Ev _ZTVN2cv3dnn15ConcatLayerImpl20ChannelConcatInvokerE _ZN2cv3dnn15ConcatLayerImpl20ChannelConcatInvokerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1111ConcatLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1111ConcatLayerE _ZN2cv3dnn23experimental_dnn_34_v1111ConcatLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1111ConcatLayerD0Ev _ZN2cv3dnn15ConcatLayerImplD2Ev _ZN2cv3dnn15ConcatLayerImplD1Ev _ZN2cv3dnn15ConcatLayerImplD0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15ConcatLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv3dnn15ConcatLayerImpl20ChannelConcatInvokerD0Ev _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZN2cv3MatD2Ev DW.ref.__gxx_personality_v0 _ZN2cv3MatD1Ev _ZN2cv3dnn23experimental_dnn_34_v1111ConcatLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn15ConcatLayerImplE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn15ConcatLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZN2cv3dnn15ConcatLayerImpl11forward_oclERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn15ConcatLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn15ConcatLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E25__cv_trace_location_fn237 _ZZN2cv3dnn15ConcatLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E22__cv_trace_arg_name238 _ZNSt6vectorIiSaIiEEaSERKS1_ _ZNSt6vectorIS_IiSaIiEESaIS1_EE14_M_fill_insertEN9__gnu_cxx17__normal_iteratorIPS1_S3_EEmRKS1_ _ZNK2cv3dnn15ConcatLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1111ConcatLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1111ConcatLayerE _ZTSN2cv3dnn15ConcatLayerImpl20ChannelConcatInvokerE _ZTIN2cv3dnn15ConcatLayerImpl20ChannelConcatInvokerE _ZTSN2cv3dnn15ConcatLayerImplE _ZTIN2cv3dnn15ConcatLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn15ConcatLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn15ConcatLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn15ConcatLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E28__cv_trace_arg_extra_name238 _ZZN2cv3dnn15ConcatLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E31__cv_trace_location_extra_fn237 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv6detail12PtrOwnerImplINS_3dnn14ConstLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn14ConstLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn14ConstLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn23experimental_dnn_34_v1110ConstLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1110ConstLayerE _ZN2cv3dnn23experimental_dnn_34_v1110ConstLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1110ConstLayerD0Ev _ZN2cv3dnn14ConstLayerImplD2Ev _ZN2cv3dnn14ConstLayerImplD1Ev _ZN2cv3dnn14ConstLayerImplD0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn14ConstLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZN2cv3dnn23experimental_dnn_34_v1110ConstLayer6createERKNS1_11LayerParamsE DW.ref.__gxx_personality_v0 _ZTVN2cv3dnn14ConstLayerImplE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn14ConstLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn14ConstLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn14ConstLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E24__cv_trace_location_fn51 _ZZN2cv3dnn14ConstLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E21__cv_trace_arg_name52 _ZNSt6vectorIiSaIiEEaSERKS1_ _ZNK2cv3dnn14ConstLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1110ConstLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1110ConstLayerE _ZTSN2cv3dnn14ConstLayerImplE _ZTIN2cv3dnn14ConstLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn14ConstLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn14ConstLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn14ConstLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E27__cv_trace_arg_extra_name52 _ZZN2cv3dnn14ConstLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E30__cv_trace_location_extra_fn51 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZNK2cv3dnn24BaseConvolutionLayerImpl20applyHalideSchedulerERNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEERKSt6vectorIPNS_3MatESaIS9_EERKS7_IS8_SaIS8_EEi _ZN2cv3dnn20ConvolutionLayerImpl14supportBackendEi _ZN2cv3dnn20ConvolutionLayerImpl10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv3dnn20ConvolutionLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv3dnn22DeConvolutionLayerImpl14supportBackendEi _ZNK2cv3dnn22DeConvolutionLayerImpl13Col2ImInvokerclERKNS_5RangeE _ZN2cv3dnn22DeConvolutionLayerImpl10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv3dnn22DeConvolutionLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn22DeConvolutionLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn22DeConvolutionLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn20ConvolutionLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn20ConvolutionLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfEENS_14DefaultDeleterIS5_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfEENS_14DefaultDeleterIS5_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn22DeConvolutionLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn20ConvolutionLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfEENS_14DefaultDeleterIS5_EEED0Ev _ZN2cv3dnn22DeConvolutionLayerImpl13MatMulInvokerD2Ev _ZTVN2cv3dnn22DeConvolutionLayerImpl13MatMulInvokerE _ZN2cv3dnn22DeConvolutionLayerImpl13MatMulInvokerD1Ev _ZN2cv3dnn22DeConvolutionLayerImpl13MatMulInvokerD0Ev _ZN2cv3dnn22DeConvolutionLayerImpl13Col2ImInvokerD2Ev _ZTVN2cv3dnn22DeConvolutionLayerImpl13Col2ImInvokerE _ZN2cv3dnn22DeConvolutionLayerImpl13Col2ImInvokerD1Ev _ZN2cv3dnn22DeConvolutionLayerImpl13Col2ImInvokerD0Ev _ZN2cv3dnn20ConvolutionLayerImpl12ParallelConvD2Ev _ZTVN2cv3dnn20ConvolutionLayerImpl12ParallelConvE _ZN2cv3dnn20ConvolutionLayerImpl12ParallelConvD1Ev _ZNK2cv3dnn22DeConvolutionLayerImpl13MatMulInvokerclERKNS_5RangeE _ZN2cv3dnn23experimental_dnn_34_v1120BaseConvolutionLayerD2Ev DW.ref.__gxx_personality_v0 _ZTVN2cv3dnn23experimental_dnn_34_v1120BaseConvolutionLayerE _ZN2cv3dnn23experimental_dnn_34_v1120BaseConvolutionLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1120BaseConvolutionLayerD0Ev _ZNK2cv3dnn20ConvolutionLayerImpl12ParallelConvclERKNS_5RangeE _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfEENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZN2cv3dnn20ConvolutionLayerImpl12ParallelConvD0Ev _ZN2cv3dnn20ConvolutionLayerImplD0Ev _ZTVN2cv3dnn20ConvolutionLayerImplE _ZN2cv3dnn22DeConvolutionLayerImplD0Ev _ZTVN2cv3dnn22DeConvolutionLayerImplE _ZN2cv3dnn22DeConvolutionLayerImplD2Ev _ZN2cv3dnn22DeConvolutionLayerImplD1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn20ConvolutionLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv6detail12PtrOwnerImplINS_3dnn22DeConvolutionLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv3dnn20ConvolutionLayerImplD2Ev _ZN2cv3dnn20ConvolutionLayerImplD1Ev _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZNK2cv3dnn20ConvolutionLayerImpl8getFLOPSERKSt6vectorIS2_IiSaIiEESaIS4_EES8_ _ZNK2cv3dnn22DeConvolutionLayerImpl8getFLOPSERKSt6vectorIS2_IiSaIiEESaIS4_EES8_ _ZN2cvplEPKcRKNS_6StringE _ZN2cv6detail8PtrOwner6decRefEv _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZN2cv3dnn24BaseConvolutionLayerImplC2ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZTVN2cv3dnn24BaseConvolutionLayerImplE _ZN2cv3dnn24BaseConvolutionLayerImplC1ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn20ConvolutionLayerImpl11fuseWeightsERKNS_3MatES4_ _ZN2cv3dnn20ConvolutionLayerImpl7tryFuseERNS_3PtrINS0_23experimental_dnn_34_v115LayerEEE _ZN2cv3dnn20ConvolutionLayerImpl13setActivationERKNS_3PtrINS0_23experimental_dnn_34_v1115ActivationLayerEEE _ZTIN2cv3dnn23experimental_dnn_34_v119TanHLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1115ActivationLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1110PowerLayerE _ZN2cv3dnn7ocl4dnn17OCL4DNNConvConfigD2Ev _ZN2cv3dnn7ocl4dnn17OCL4DNNConvConfigD1Ev _ZN2cv3dnn23experimental_dnn_34_v1116ConvolutionLayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn20ConvolutionLayerImplENS_14DefaultDeleterIS3_EEEE _ZN2cv3dnn23experimental_dnn_34_v1118DeconvolutionLayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn22DeConvolutionLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn24BaseConvolutionLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZN2cv3dnn22DeConvolutionLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZNSt6vectorIfSaIfEE17_M_default_appendEm _ZN2cv3dnn20ConvolutionLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZNSt6vectorIiSaIiEE17_M_default_appendEm _ZNSt6vectorIN2cv4UMatESaIS1_EE17_M_default_appendEm _ZNSt6vectorIfSaIfEE14_M_fill_assignEmRKf _ZN2cv3dnn20ConvolutionLayerImpl11forward_oclERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZTIN2cv3dnn23experimental_dnn_34_v119ReLULayerE _ZTIN2cv3dnn23experimental_dnn_34_v1110ReLU6LayerE _ZTIN2cv3dnn23experimental_dnn_34_v1118ChannelsPReLULayerE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfEENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn20ConvolutionLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn20ConvolutionLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E26__cv_trace_location_fn1028 _ZZN2cv3dnn20ConvolutionLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E23__cv_trace_arg_name1029 _ZNSt6vectorIS_IiSaIiEESaIS1_EE19_M_emplace_back_auxIJS1_EEEvDpOT_ _ZSt9__find_ifIN9__gnu_cxx17__normal_iteratorIPiSt6vectorIiSaIiEEEENS0_5__ops10_Iter_predIPFbiEEEET_SC_SC_T0_St26random_access_iterator_tag _ZNK2cv3dnn20ConvolutionLayerImpl18computeColRowShapeERKSt6vectorIiSaIiEES6_ _ZNK2cv3dnn22DeConvolutionLayerImpl18computeColRowShapeERKSt6vectorIiSaIiEES6_ _ZN2cv3dnn22DeConvolutionLayerImpl11forward_oclERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZN2cv3dnn22DeConvolutionLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn22DeConvolutionLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E26__cv_trace_location_fn1555 _ZZN2cv3dnn22DeConvolutionLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E23__cv_trace_arg_name1556 _ZNSt6vectorIiSaIiEEaSERKS1_ _ZNSt6vectorIS_IiSaIiEESaIS1_EE14_M_fill_insertEN9__gnu_cxx17__normal_iteratorIPS1_S3_EEmRKS1_ _ZNK2cv3dnn22DeConvolutionLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZNK2cv3dnn20ConvolutionLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1120BaseConvolutionLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1120BaseConvolutionLayerE _ZTSN2cv3dnn23experimental_dnn_34_v1116ConvolutionLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1116ConvolutionLayerE _ZTSN2cv3dnn23experimental_dnn_34_v1115ActivationLayerE _ZTSN2cv3dnn23experimental_dnn_34_v119ReLULayerE _ZTSN2cv3dnn23experimental_dnn_34_v1110ReLU6LayerE _ZTSN2cv3dnn23experimental_dnn_34_v1118ChannelsPReLULayerE _ZTSN2cv3dnn23experimental_dnn_34_v119TanHLayerE _ZTSN2cv3dnn23experimental_dnn_34_v1110PowerLayerE _ZTSN2cv3dnn24BaseConvolutionLayerImplE _ZTIN2cv3dnn24BaseConvolutionLayerImplE _ZTSN2cv3dnn20ConvolutionLayerImpl12ParallelConvE _ZTIN2cv3dnn20ConvolutionLayerImpl12ParallelConvE _ZTSN2cv3dnn20ConvolutionLayerImplE _ZTIN2cv3dnn20ConvolutionLayerImplE _ZTSN2cv3dnn22DeConvolutionLayerImpl13MatMulInvokerE _ZTIN2cv3dnn22DeConvolutionLayerImpl13MatMulInvokerE _ZTSN2cv3dnn22DeConvolutionLayerImpl13Col2ImInvokerE _ZTIN2cv3dnn22DeConvolutionLayerImpl13Col2ImInvokerE _ZTSN2cv3dnn22DeConvolutionLayerImplE _ZTIN2cv3dnn22DeConvolutionLayerImplE 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_ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11TanHFunctorEEENS_14DefaultDeleterIS5_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11TanHFunctorEEENS_14DefaultDeleterIS5_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12ReLU6FunctorEEENS_14DefaultDeleterIS5_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12ReLU6FunctorEEENS_14DefaultDeleterIS5_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11ReLUFunctorEEENS_14DefaultDeleterIS5_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11ReLUFunctorEEENS_14DefaultDeleterIS5_EEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE14supportBackendEi _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE9tryAttachERKNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEE _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE7tryFuseERNS_3PtrINS0_23experimental_dnn_34_v115LayerEEE _ZNK2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE13getScaleShiftERNS_3MatES5_ _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE14supportBackendEi _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE9tryAttachERKNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEE _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE14supportBackendEi _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE9tryAttachERKNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEE _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE7tryFuseERNS_3PtrINS0_23experimental_dnn_34_v115LayerEEE _ZNK2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE13getScaleShiftERNS_3MatES5_ _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE14supportBackendEi _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE9tryAttachERKNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEE _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE7tryFuseERNS_3PtrINS0_23experimental_dnn_34_v115LayerEEE _ZNK2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE13getScaleShiftERNS_3MatES5_ _ZNK2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE12forwardSliceEPKfPfimii _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE14supportBackendEi _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE9tryAttachERKNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEE _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE7tryFuseERNS_3PtrINS0_23experimental_dnn_34_v115LayerEEE _ZNK2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE13getScaleShiftERNS_3MatES5_ _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE14supportBackendEi _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE9tryAttachERKNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEE _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE7tryFuseERNS_3PtrINS0_23experimental_dnn_34_v115LayerEEE _ZNK2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE13getScaleShiftERNS_3MatES5_ _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE14supportBackendEi _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE9tryAttachERKNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEE _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE7tryFuseERNS_3PtrINS0_23experimental_dnn_34_v115LayerEEE _ZNK2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE13getScaleShiftERNS_3MatES5_ _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE14supportBackendEi _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE9tryAttachERKNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEE _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE7tryFuseERNS_3PtrINS0_23experimental_dnn_34_v115LayerEEE _ZNK2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE13getScaleShiftERNS_3MatES5_ _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE14supportBackendEi _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE9tryAttachERKNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEE _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE7tryFuseERNS_3PtrINS0_23experimental_dnn_34_v115LayerEEE _ZNK2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE13getScaleShiftERNS_3MatES5_ _ZNK2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE5PBodyclERKNS_5RangeE _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11ReLUFunctorEEENS_14DefaultDeleterIS5_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_20ChannelsPReLUFunctorEEENS_14DefaultDeleterIS5_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12PowerFunctorEEENS_14DefaultDeleterIS5_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11BNLLFunctorEEENS_14DefaultDeleterIS5_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_13AbsValFunctorEEENS_14DefaultDeleterIS5_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_10ELUFunctorEEENS_14DefaultDeleterIS5_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_14SigmoidFunctorEEENS_14DefaultDeleterIS5_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11TanHFunctorEEENS_14DefaultDeleterIS5_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12ReLU6FunctorEEENS_14DefaultDeleterIS5_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_20ChannelsPReLUFunctorEEENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12PowerFunctorEEENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11BNLLFunctorEEENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_13AbsValFunctorEEENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_10ELUFunctorEEENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_14SigmoidFunctorEEENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11TanHFunctorEEENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12ReLU6FunctorEEENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11ReLUFunctorEEENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZNK2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE12forwardSliceEPKfPfimii _ZNK2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE15getMemoryShapesERKSt6vectorIS4_IiSaIiEESaIS6_EEiRS8_SB_ _ZNK2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE15getMemoryShapesERKSt6vectorIS4_IiSaIiEESaIS6_EEiRS8_SB_ _ZNK2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE15getMemoryShapesERKSt6vectorIS4_IiSaIiEESaIS6_EEiRS8_SB_ _ZNK2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE15getMemoryShapesERKSt6vectorIS4_IiSaIiEESaIS6_EEiRS8_SB_ _ZNK2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE15getMemoryShapesERKSt6vectorIS4_IiSaIiEESaIS6_EEiRS8_SB_ _ZNK2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE15getMemoryShapesERKSt6vectorIS4_IiSaIiEESaIS6_EEiRS8_SB_ _ZNK2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE15getMemoryShapesERKSt6vectorIS4_IiSaIiEESaIS6_EEiRS8_SB_ _ZNK2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE15getMemoryShapesERKSt6vectorIS4_IiSaIiEESaIS6_EEiRS8_SB_ _ZNK2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE15getMemoryShapesERKSt6vectorIS4_IiSaIiEESaIS6_EEiRS8_SB_ _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE5PBodyD2Ev _ZTVN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE5PBodyE _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE5PBodyD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE5PBodyD0Ev _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE5PBodyD2Ev _ZTVN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE5PBodyE _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE5PBodyD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE5PBodyD0Ev _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE5PBodyD2Ev _ZTVN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE5PBodyE _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE5PBodyD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE5PBodyD0Ev _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE5PBodyD2Ev _ZTVN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE5PBodyE _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE5PBodyD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE5PBodyD0Ev _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE5PBodyD2Ev _ZTVN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE5PBodyE _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE5PBodyD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE5PBodyD0Ev _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyD2Ev _ZTVN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyE _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyD0Ev _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyD2Ev _ZTVN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyE _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyD0Ev _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyD2Ev _ZTVN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyE _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyD0Ev _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyD2Ev _ZTVN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyE _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyD0Ev _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEED2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1115ActivationLayerE _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEED0Ev _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEED0Ev _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEED0Ev _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEED0Ev _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEED0Ev _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEED0Ev _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEED0Ev _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEED0Ev _ZNK2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE12forwardSliceEPKfPfimii _ZNK2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE12forwardSliceEPKfPfimii _ZNK2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE12forwardSliceEPKfPfimii _ZNK2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE12forwardSliceEPKfPfimii _ZNK2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE12forwardSliceEPKfPfimii _ZNK2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyclERKNS_5RangeE _ZNK2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE12forwardSliceEPKfPfimii _ZNK2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyclERKNS_5RangeE _ZNK2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyclERKNS_5RangeE _ZNK2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE5PBodyclERKNS_5RangeE _ZNK2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyclERKNS_5RangeE _ZNK2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE5PBodyclERKNS_5RangeE _ZNK2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE5PBodyclERKNS_5RangeE _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEED0Ev DW.ref.__gxx_personality_v0 _ZTVN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEEE _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEED1Ev _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZNK2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE12forwardSliceEPKfPfimii _ZNK2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE5PBodyclERKNS_5RangeE _ZNK2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZN2cv6detail8PtrOwner6decRefEv _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE7tryFuseERNS_3PtrINS0_23experimental_dnn_34_v115LayerEEE _ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv _ZNK2cv3dnn12PowerFunctor13getScaleShiftERNS_3MatES3_ _ZNK2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE13getScaleShiftERNS_3MatES5_ _ZN2cv3dnn23experimental_dnn_34_v119ReLULayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEEE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11ReLUFunctorEEENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn23experimental_dnn_34_v1110ReLU6Layer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEEE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12ReLU6FunctorEEENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn23experimental_dnn_34_v119TanHLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEEE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11TanHFunctorEEENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn23experimental_dnn_34_v1112SigmoidLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEEE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_14SigmoidFunctorEEENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn23experimental_dnn_34_v118ELULayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEEE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_10ELUFunctorEEENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn23experimental_dnn_34_v118AbsLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEEE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_13AbsValFunctorEEENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn23experimental_dnn_34_v119BNLLLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEEE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11BNLLFunctorEEENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn23experimental_dnn_34_v1110PowerLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEEE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12PowerFunctorEEENS_14DefaultDeleterIS5_EEEE _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD1Ev _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE7_M_copyINSD_11_Alloc_nodeEEEPSt13_Rb_tree_nodeIS7_EPKSH_PSt18_Rb_tree_node_baseRT_ _ZN2cv3dnn23experimental_dnn_34_v1118ChannelsPReLULayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_20ChannelsPReLUFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE5PBodyE _ZZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1115ActivationLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1115ActivationLayerE _ZTSN2cv3dnn23experimental_dnn_34_v119ReLULayerE _ZTIN2cv3dnn23experimental_dnn_34_v119ReLULayerE _ZTSN2cv3dnn23experimental_dnn_34_v1110ReLU6LayerE _ZTIN2cv3dnn23experimental_dnn_34_v1110ReLU6LayerE _ZTSN2cv3dnn23experimental_dnn_34_v1118ChannelsPReLULayerE _ZTIN2cv3dnn23experimental_dnn_34_v1118ChannelsPReLULayerE _ZTSN2cv3dnn23experimental_dnn_34_v118ELULayerE _ZTIN2cv3dnn23experimental_dnn_34_v118ELULayerE _ZTSN2cv3dnn23experimental_dnn_34_v119TanHLayerE _ZTIN2cv3dnn23experimental_dnn_34_v119TanHLayerE _ZTSN2cv3dnn23experimental_dnn_34_v1112SigmoidLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1112SigmoidLayerE _ZTSN2cv3dnn23experimental_dnn_34_v119BNLLLayerE _ZTIN2cv3dnn23experimental_dnn_34_v119BNLLLayerE _ZTSN2cv3dnn23experimental_dnn_34_v118AbsLayerE _ZTIN2cv3dnn23experimental_dnn_34_v118AbsLayerE _ZTSN2cv3dnn23experimental_dnn_34_v1110PowerLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1110PowerLayerE _ZTSN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11ReLUFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11ReLUFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12ReLU6FunctorEEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12ReLU6FunctorEEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11TanHFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11TanHFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_14SigmoidFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_14SigmoidFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_10ELUFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_10ELUFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_13AbsValFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_13AbsValFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11BNLLFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11BNLLFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12PowerFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12PowerFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_20ChannelsPReLUFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_20ChannelsPReLUFunctorEEENS_14DefaultDeleterIS5_EEEE _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn16EltwiseLayerImpl10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv3dnn16EltwiseLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn16EltwiseLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16EltwiseLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16EltwiseLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZNK2cv3dnn16EltwiseLayerImpl14EltwiseInvokerclERKNS_5RangeE _ZN2cv3dnn16EltwiseLayerImpl14EltwiseInvokerD2Ev _ZTVN2cv3dnn16EltwiseLayerImpl14EltwiseInvokerE _ZN2cv3dnn16EltwiseLayerImpl14EltwiseInvokerD1Ev _ZN2cv3dnn16EltwiseLayerImpl14EltwiseInvokerD0Ev _ZN2cv3dnn23experimental_dnn_34_v1112EltwiseLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1112EltwiseLayerE _ZN2cv3dnn23experimental_dnn_34_v1112EltwiseLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1112EltwiseLayerD0Ev _ZN2cv3dnn16EltwiseLayerImpl14supportBackendEi _ZN2cv3dnn16EltwiseLayerImplD2Ev DW.ref.__gxx_personality_v0 _ZTVN2cv3dnn16EltwiseLayerImplE _ZN2cv6detail12PtrOwnerImplINS_3dnn16EltwiseLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv3dnn16EltwiseLayerImplD1Ev _ZN2cv3dnn16EltwiseLayerImplD0Ev _ZN2cv3dnn16EltwiseLayerImpl13setActivationERKNS_3PtrINS0_23experimental_dnn_34_v1115ActivationLayerEEE _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZNK2cv3dnn16EltwiseLayerImpl8getFLOPSERKSt6vectorIS2_IiSaIiEESaIS4_EES8_ _ZN2cvplERKNS_6StringEPKc _ZN2cvplEPKcRKNS_6StringE _ZN2cv6detail8PtrOwner6decRefEv _ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZN2cv3dnn16EltwiseLayerImpl11forward_oclERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn16EltwiseLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn16EltwiseLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E25__cv_trace_location_fn355 _ZZN2cv3dnn16EltwiseLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E22__cv_trace_arg_name356 _ZZN2cv3dnn16EltwiseLayerImpl14EltwiseInvoker3runEPKNS_3MatEiRS3_RKSt6vectorIfSaIfEENS1_9EltwiseOpEPKNS0_23experimental_dnn_34_v1115ActivationLayerEiE15__cv_check__143 _ZZN2cv3dnn16EltwiseLayerImpl14EltwiseInvoker3runEPKNS_3MatEiRS3_RKSt6vectorIfSaIfEENS1_9EltwiseOpEPKNS0_23experimental_dnn_34_v1115ActivationLayerEiE15__cv_check__143_0 _ZNSt6vectorIfSaIfEE17_M_default_appendEm _ZN2cv3dnn16EltwiseLayerImplC2ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn16EltwiseLayerImplC1ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn23experimental_dnn_34_v1112EltwiseLayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16EltwiseLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIiSaIiEEaSERKS1_ _ZNK2cv3dnn16EltwiseLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1112EltwiseLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1112EltwiseLayerE _ZTSN2cv3dnn16EltwiseLayerImpl14EltwiseInvokerE _ZTIN2cv3dnn16EltwiseLayerImpl14EltwiseInvokerE _ZTSN2cv3dnn16EltwiseLayerImplE _ZTIN2cv3dnn16EltwiseLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16EltwiseLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16EltwiseLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn16EltwiseLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E28__cv_trace_arg_extra_name356 _ZZN2cv3dnn16EltwiseLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E31__cv_trace_location_extra_fn355 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn16FlattenLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn16FlattenLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16FlattenLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16FlattenLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn16FlattenLayerImpl14supportBackendEi _ZN2cv3dnn23experimental_dnn_34_v1112FlattenLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1112FlattenLayerE _ZN2cv3dnn23experimental_dnn_34_v1112FlattenLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1112FlattenLayerD0Ev _ZN2cv3dnn16FlattenLayerImplD2Ev _ZN2cv3dnn16FlattenLayerImplD1Ev _ZN2cv3dnn16FlattenLayerImplD0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16FlattenLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZN2cv3MatD2Ev DW.ref.__gxx_personality_v0 _ZN2cv3MatD1Ev _ZN2cv3dnn23experimental_dnn_34_v1112FlattenLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn16FlattenLayerImplE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16FlattenLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn16FlattenLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn16FlattenLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E25__cv_trace_location_fn134 _ZZN2cv3dnn16FlattenLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E22__cv_trace_arg_name135 _ZNSt6vectorIiSaIiEE19_M_emplace_back_auxIJiEEEvDpOT_ _ZNSt6vectorIiSaIiEEaSERKS1_ _ZNSt6vectorIS_IiSaIiEESaIS1_EE14_M_fill_insertEN9__gnu_cxx17__normal_iteratorIPS1_S3_EEmRKS1_ _ZNK2cv3dnn16FlattenLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1112FlattenLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1112FlattenLayerE _ZTSN2cv3dnn16FlattenLayerImplE _ZTIN2cv3dnn16FlattenLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16FlattenLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16FlattenLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn16FlattenLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E28__cv_trace_arg_extra_name135 _ZZN2cv3dnn16FlattenLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E31__cv_trace_location_extra_fn134 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn23FullyConnectedLayerImpl10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv3dnn23FullyConnectedLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn23FullyConnectedLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn23FullyConnectedLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn19OCL4DNNInnerProductIfEENS_14DefaultDeleterIS5_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn19OCL4DNNInnerProductIfEENS_14DefaultDeleterIS5_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn19OCL4DNNInnerProductIfEENS_14DefaultDeleterIS5_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn23FullyConnectedLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn23FullyConnectedLayerImpl14supportBackendEi _ZN2cv3dnn23FullyConnectedLayerImpl14FullyConnectedD2Ev _ZTVN2cv3dnn23FullyConnectedLayerImpl14FullyConnectedE _ZN2cv3dnn23FullyConnectedLayerImpl14FullyConnectedD1Ev _ZN2cv3dnn23FullyConnectedLayerImpl14FullyConnectedD0Ev _ZN2cv3dnn23experimental_dnn_34_v1117InnerProductLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1117InnerProductLayerE _ZN2cv3dnn23experimental_dnn_34_v1117InnerProductLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1117InnerProductLayerD0Ev _ZNK2cv3dnn23FullyConnectedLayerImpl14FullyConnectedclERKNS_5RangeE DW.ref.__gxx_personality_v0 _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn19OCL4DNNInnerProductIfEENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZN2cv3dnn23FullyConnectedLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZN2cv3dnn23FullyConnectedLayerImpl13setActivationERKNS_3PtrINS0_23experimental_dnn_34_v1115ActivationLayerEEE _ZN2cv3dnn23FullyConnectedLayerImplD0Ev _ZTVN2cv3dnn23FullyConnectedLayerImplE _ZN2cv6detail12PtrOwnerImplINS_3dnn23FullyConnectedLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv3dnn23FullyConnectedLayerImplD2Ev _ZN2cv3dnn23FullyConnectedLayerImplD1Ev _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZNK2cv3dnn23FullyConnectedLayerImpl8getFLOPSERKSt6vectorIS2_IiSaIiEESaIS4_EES8_ _ZN2cv6detail8PtrOwner6decRefEv _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZN2cv7MatExprD2Ev _ZN2cv7MatExprD1Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZN2cv3dnn23FullyConnectedLayerImplC2ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn23FullyConnectedLayerImplC1ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn23experimental_dnn_34_v1117InnerProductLayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn23FullyConnectedLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZNSt6vectorIN2cv4UMatESaIS1_EE17_M_default_appendEm _ZSt9__find_ifIN9__gnu_cxx17__normal_iteratorIPiSt6vectorIiSaIiEEEENS0_5__ops10_Iter_predIPFbiEEEET_SC_SC_T0_St26random_access_iterator_tag _ZN2cv3dnn23FullyConnectedLayerImpl11forward_oclERKNS_11_InputArrayERKNS_12_OutputArrayES4_ _ZTVN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn19OCL4DNNInnerProductIfEENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn23FullyConnectedLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn23FullyConnectedLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E25__cv_trace_location_fn389 _ZZN2cv3dnn23FullyConnectedLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E22__cv_trace_arg_name390 _ZNSt6vectorIiSaIiEEaSERKS1_ _ZNSt6vectorIS_IiSaIiEESaIS1_EE14_M_fill_insertEN9__gnu_cxx17__normal_iteratorIPS1_S3_EEmRKS1_ _ZNK2cv3dnn23FullyConnectedLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1117InnerProductLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1117InnerProductLayerE _ZTSN2cv3dnn23FullyConnectedLayerImpl14FullyConnectedE _ZTIN2cv3dnn23FullyConnectedLayerImpl14FullyConnectedE _ZTSN2cv3dnn23FullyConnectedLayerImplE _ZTIN2cv3dnn23FullyConnectedLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn19OCL4DNNInnerProductIfEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn19OCL4DNNInnerProductIfEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23FullyConnectedLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23FullyConnectedLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn23FullyConnectedLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E28__cv_trace_arg_extra_name390 _ZZN2cv3dnn23FullyConnectedLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E31__cv_trace_location_extra_fn389 _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv DW.ref.__gxx_personality_v0 _ZN2cv3dnn4util8makeNameERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES9_ _ZN2cv3dnn4util12getParameterERKNS0_23experimental_dnn_34_v1111LayerParamsERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESD_RiSE_bRKi _ZN2cv3dnn4util13getKernelSizeERKNS0_23experimental_dnn_34_v1111LayerParamsERiS6_ _ZN2cv3dnn4util19getStrideAndPaddingERKNS0_23experimental_dnn_34_v1111LayerParamsERiS6_S6_S6_S6_S6_RNS_6StringE _ZN2cv3dnn22getPoolingKernelParamsERKNS0_23experimental_dnn_34_v1111LayerParamsERiS5_RbS5_S5_S5_S5_S5_S5_RNS_6StringE _ZN2cv3dnn26getConvolutionKernelParamsERKNS0_23experimental_dnn_34_v1111LayerParamsERiS5_S5_S5_S5_S5_S5_S5_S5_S5_RNS_6StringE _ZN2cv3dnn20getConvPoolOutParamsERKNS_5Size_IiEES4_S4_RKNS_6StringES4_RS2_ _ZN2cv3dnn19getConvPoolPaddingsERKNS_5Size_IiEES4_S4_S4_RKNS_6StringES4_RiS8_S8_S8_ _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn12LRNLayerImpl10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZNK2cv3dnn12LRNLayerImpl20applyHalideSchedulerERNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEERKSt6vectorIPNS_3MatESaIS9_EERKS7_IS8_SaIS8_EEi _ZN2cv3dnn12LRNLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn12LRNLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn12LRNLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn10OCL4DNNLRNIfEENS_14DefaultDeleterIS5_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn10OCL4DNNLRNIfEENS_14DefaultDeleterIS5_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn10OCL4DNNLRNIfEENS_14DefaultDeleterIS5_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn12LRNLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn10OCL4DNNLRNIfEENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZN2cv3dnn12LRNLayerImpl10ChannelLRND2Ev _ZTVN2cv3dnn12LRNLayerImpl10ChannelLRNE _ZN2cv3dnn12LRNLayerImpl10ChannelLRND1Ev _ZN2cv3dnn12LRNLayerImpl10ChannelLRND0Ev _ZN2cv3dnn23experimental_dnn_34_v118LRNLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v118LRNLayerE _ZN2cv3dnn23experimental_dnn_34_v118LRNLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v118LRNLayerD0Ev _ZN2cv3dnn12LRNLayerImpl14supportBackendEi _ZNK2cv3dnn12LRNLayerImpl10ChannelLRNclERKNS_5RangeE DW.ref.__gxx_personality_v0 _ZN2cv3dnn12LRNLayerImplD0Ev _ZTVN2cv3dnn12LRNLayerImplE _ZN2cv3dnn12LRNLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZN2cv3dnn12LRNLayerImplD2Ev _ZN2cv3dnn12LRNLayerImplD1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn12LRNLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZNK2cv3dnn12LRNLayerImpl8getFLOPSERKSt6vectorIS2_IiSaIiEESaIS4_EES8_ _ZN2cv6detail8PtrOwner6decRefEv _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZN2cv3dnn12LRNLayerImplC2ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn12LRNLayerImplC1ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn12LRNLayerImpl20spatialNormalizationERNS_3MatES3_ _ZN2cv3dnn23experimental_dnn_34_v118LRNLayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn12LRNLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED2Ev _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED1Ev _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED0Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZN2cv3dnn12LRNLayerImpl11forward_oclERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZTVN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn10OCL4DNNLRNIfEENS_14DefaultDeleterIS5_EEEE _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn12LRNLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn12LRNLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E25__cv_trace_location_fn146 _ZZN2cv3dnn12LRNLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E22__cv_trace_arg_name147 _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v118LRNLayerE _ZTIN2cv3dnn23experimental_dnn_34_v118LRNLayerE _ZTSN2cv3dnn12LRNLayerImpl10ChannelLRNE _ZTIN2cv3dnn12LRNLayerImpl10ChannelLRNE _ZTSN2cv3dnn12LRNLayerImplE _ZTIN2cv3dnn12LRNLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn10OCL4DNNLRNIfEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn10OCL4DNNLRNIfEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn12LRNLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn12LRNLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn12LRNLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E28__cv_trace_arg_extra_name147 _ZZN2cv3dnn12LRNLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E31__cv_trace_location_extra_fn146 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNKSt5ctypeIcE8do_widenEc _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn18MaxUnpoolLayerImpl10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn18MaxUnpoolLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn18MaxUnpoolLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn18MaxUnpoolLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn23experimental_dnn_34_v1114MaxUnpoolLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1114MaxUnpoolLayerE _ZN2cv3dnn23experimental_dnn_34_v1114MaxUnpoolLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1114MaxUnpoolLayerD0Ev _ZN2cv3dnn18MaxUnpoolLayerImplD2Ev _ZN2cv3dnn18MaxUnpoolLayerImplD1Ev _ZN2cv3dnn18MaxUnpoolLayerImplD0Ev _ZN2cv3dnn18MaxUnpoolLayerImpl14supportBackendEi _ZN2cv6detail12PtrOwnerImplINS_3dnn18MaxUnpoolLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZN2cv3MatD2Ev DW.ref.__gxx_personality_v0 _ZN2cv3MatD1Ev _ZN2cv3dnn23experimental_dnn_34_v1114MaxUnpoolLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn18MaxUnpoolLayerImplE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn18MaxUnpoolLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn18MaxUnpoolLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn18MaxUnpoolLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E24__cv_trace_location_fn61 _ZZN2cv3dnn18MaxUnpoolLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E21__cv_trace_arg_name62 _ZNSt6vectorIS_IiSaIiEESaIS1_EE19_M_emplace_back_auxIJRKS1_EEEvDpOT_ _ZNK2cv3dnn18MaxUnpoolLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1114MaxUnpoolLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1114MaxUnpoolLayerE _ZTSN2cv3dnn18MaxUnpoolLayerImplE _ZTIN2cv3dnn18MaxUnpoolLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn18MaxUnpoolLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn18MaxUnpoolLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn18MaxUnpoolLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E27__cv_trace_arg_extra_name62 _ZZN2cv3dnn18MaxUnpoolLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E30__cv_trace_location_extra_fn61 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn12MVNLayerImpl14supportBackendEi _ZN2cv3dnn12MVNLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn12MVNLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn12MVNLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn12MVNLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn23experimental_dnn_34_v118MVNLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v118MVNLayerE _ZN2cv3dnn23experimental_dnn_34_v118MVNLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v118MVNLayerD0Ev _ZN2cv3dnn12MVNLayerImplD2Ev DW.ref.__gxx_personality_v0 _ZTVN2cv3dnn12MVNLayerImplE _ZN2cv6detail12PtrOwnerImplINS_3dnn12MVNLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv3dnn12MVNLayerImplD1Ev _ZN2cv3dnn12MVNLayerImplD0Ev _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZNK2cv3dnn12MVNLayerImpl8getFLOPSERKSt6vectorIS2_IiSaIiEESaIS4_EES8_ _ZN2cv6detail8PtrOwner6decRefEv _ZN2cv3dnn12MVNLayerImpl13setActivationERKNS_3PtrINS0_23experimental_dnn_34_v1115ActivationLayerEEE _ZTIN2cv3dnn23experimental_dnn_34_v119ReLULayerE _ZTIN2cv3dnn23experimental_dnn_34_v1115ActivationLayerE _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZN2cv3dnn23experimental_dnn_34_v118MVNLayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn12MVNLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn12MVNLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZSt9__find_ifIN9__gnu_cxx17__normal_iteratorIPiSt6vectorIiSaIiEEEENS0_5__ops10_Iter_predIPFbiEEEET_SC_SC_T0_St26random_access_iterator_tag _ZN2cv3dnn12MVNLayerImpl16fast_forward_oclERSt6vectorINS_4UMatESaIS3_EES6_ _ZN2cv3dnn12MVNLayerImpl11forward_oclERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZN2cv3dnn12MVNLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn12MVNLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E25__cv_trace_location_fn293 _ZZN2cv3dnn12MVNLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E22__cv_trace_arg_name294 _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v118MVNLayerE _ZTIN2cv3dnn23experimental_dnn_34_v118MVNLayerE _ZTSN2cv3dnn23experimental_dnn_34_v1115ActivationLayerE _ZTSN2cv3dnn23experimental_dnn_34_v119ReLULayerE _ZTSN2cv3dnn12MVNLayerImplE _ZTIN2cv3dnn12MVNLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn12MVNLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn12MVNLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn12MVNLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E28__cv_trace_arg_extra_name294 _ZZN2cv3dnn12MVNLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E31__cv_trace_location_extra_fn293 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn22NormalizeBBoxLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn22NormalizeBBoxLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn22NormalizeBBoxLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn22NormalizeBBoxLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn23experimental_dnn_34_v1118NormalizeBBoxLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1118NormalizeBBoxLayerE _ZN2cv3dnn23experimental_dnn_34_v1118NormalizeBBoxLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1118NormalizeBBoxLayerD0Ev _ZN2cv3dnn22NormalizeBBoxLayerImplD2Ev _ZN2cv3dnn22NormalizeBBoxLayerImplD1Ev _ZN2cv3dnn22NormalizeBBoxLayerImplD0Ev _ZN2cv3dnn22NormalizeBBoxLayerImpl14supportBackendEi _ZN2cv6detail12PtrOwnerImplINS_3dnn22NormalizeBBoxLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZN2cv3MatD2Ev DW.ref.__gxx_personality_v0 _ZN2cv3MatD1Ev _ZN2cv7MatExprD2Ev _ZN2cv7MatExprD1Ev _ZN2cv3dnn23experimental_dnn_34_v1118NormalizeBBoxLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn22NormalizeBBoxLayerImplE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn22NormalizeBBoxLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn22NormalizeBBoxLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZSt9__find_ifIN9__gnu_cxx17__normal_iteratorIPiSt6vectorIiSaIiEEEENS0_5__ops10_Iter_predIPFbiEEEET_SC_SC_T0_St26random_access_iterator_tag _ZN2cv3dnn22NormalizeBBoxLayerImpl11forward_oclERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZN2cv3dnn22NormalizeBBoxLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn22NormalizeBBoxLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E25__cv_trace_location_fn184 _ZZN2cv3dnn22NormalizeBBoxLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E22__cv_trace_arg_name185 _ZNSt6vectorIiSaIiEEaSERKS1_ _ZNSt6vectorIS_IiSaIiEESaIS1_EE14_M_fill_insertEN9__gnu_cxx17__normal_iteratorIPS1_S3_EEmRKS1_ _ZNK2cv3dnn22NormalizeBBoxLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE 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_ZZN2cv3dnn16PaddingLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E24__cv_trace_location_fn99 _ZZN2cv3dnn16PaddingLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E22__cv_trace_arg_name100 _ZZN2cv3dnn16PaddingLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E15__cv_check__138_0 _ZZN2cv3dnn16PaddingLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E15__cv_check__138 _ZZN2cv3dnn16PaddingLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E15__cv_check__137_0 _ZZN2cv3dnn16PaddingLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E15__cv_check__137 _ZNSt6vectorISt4pairIiiESaIS1_EE17_M_default_appendEm _ZN2cv3dnn16PaddingLayerImplC2ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn16PaddingLayerImplC1ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn23experimental_dnn_34_v1112PaddingLayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16PaddingLayerImplENS_14DefaultDeleterIS3_EEEE 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_ZZN2cv3dnn16PaddingLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E30__cv_trace_location_extra_fn99 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn16PermuteLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn16PermuteLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16PermuteLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16PermuteLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn16PermuteLayerImpl14supportBackendEi _ZNK2cv3dnn16PermuteLayerImpl14PermuteInvokerclERKNS_5RangeE _ZN2cv3dnn16PermuteLayerImpl14PermuteInvokerD2Ev _ZTVN2cv3dnn16PermuteLayerImpl14PermuteInvokerE _ZN2cv3dnn16PermuteLayerImpl14PermuteInvokerD1Ev _ZN2cv3dnn16PermuteLayerImpl14PermuteInvokerD0Ev _ZN2cv3dnn23experimental_dnn_34_v1112PermuteLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1112PermuteLayerE _ZN2cv3dnn23experimental_dnn_34_v1112PermuteLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1112PermuteLayerD0Ev _ZN2cv3dnn16PermuteLayerImplD2Ev _ZTVN2cv3dnn16PermuteLayerImplE _ZN2cv3dnn16PermuteLayerImplD1Ev _ZN2cv3dnn16PermuteLayerImplD0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16PermuteLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZN2cv3MatD2Ev DW.ref.__gxx_personality_v0 _ZN2cv3MatD1Ev _ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZN2cv3dnn16PermuteLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn16PermuteLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E25__cv_trace_location_fn302 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_ZTVN2cv3dnn16PoolingLayerImpl14PoolingInvokerE _ZN2cv3dnn16PoolingLayerImpl14PoolingInvokerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1112PoolingLayerD2Ev DW.ref.__gxx_personality_v0 _ZTVN2cv3dnn23experimental_dnn_34_v1112PoolingLayerE _ZN2cv3dnn23experimental_dnn_34_v1112PoolingLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1112PoolingLayerD0Ev _ZN2cv3dnn16PoolingLayerImpl14supportBackendEi _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn11OCL4DNNPoolIfEENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZN2cv3dnn16PoolingLayerImpl14PoolingInvokerD0Ev _ZN2cv3dnn16PoolingLayerImplD0Ev _ZTVN2cv3dnn16PoolingLayerImplE _ZN2cv3dnn16PoolingLayerImplD2Ev _ZN2cv3dnn16PoolingLayerImplD1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16PoolingLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZNK2cv3dnn16PoolingLayerImpl14PoolingInvokerclERKNS_5RangeE _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZNK2cv3dnn16PoolingLayerImpl8getFLOPSERKSt6vectorIS2_IiSaIiEESaIS4_EES8_ _ZN2cvplERKNS_6StringEPKc _ZN2cvplEPKcRKNS_6StringE _ZN2cv6detail8PtrOwner6decRefEv _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZN2cv3dnn16PoolingLayerImplC2ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn16PoolingLayerImplC1ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn7ocl4dnn17OCL4DNNPoolConfigD2Ev _ZN2cv3dnn7ocl4dnn17OCL4DNNPoolConfigD1Ev _ZN2cv3dnn23experimental_dnn_34_v1112PoolingLayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16PoolingLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn16PoolingLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZN2cv3dnn16PoolingLayerImpl11forward_oclERKNS_11_InputArrayERKNS_12_OutputArrayES4_ _ZTVN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn11OCL4DNNPoolIfEENS_14DefaultDeleterIS5_EEEE _ZNSt6vectorIiSaIiEE17_M_default_appendEm _ZN2cv3dnn16PoolingLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ 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_ZTIN2cv6detail12PtrOwnerImplINS_3dnn16PoolingLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn16PoolingLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E28__cv_trace_arg_extra_name207 _ZZN2cv3dnn16PoolingLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E31__cv_trace_location_extra_fn206 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn17PriorBoxLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn17PriorBoxLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn17PriorBoxLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn17PriorBoxLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn17PriorBoxLayerImpl14supportBackendEi _ZN2cv3dnn23experimental_dnn_34_v1113PriorBoxLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1113PriorBoxLayerE _ZN2cv3dnn23experimental_dnn_34_v1113PriorBoxLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1113PriorBoxLayerD0Ev _ZN2cv3dnn17PriorBoxLayerImplD2Ev _ZTVN2cv3dnn17PriorBoxLayerImplE _ZN2cv3dnn17PriorBoxLayerImplD1Ev _ZN2cv3dnn17PriorBoxLayerImplD0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn17PriorBoxLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv DW.ref.__gxx_personality_v0 _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZNK2cv3dnn17PriorBoxLayerImpl8getFLOPSERKSt6vectorIS2_IiSaIiEESaIS4_EES8_ _ZN2cvplERKNS_6StringEPKc _ZN2cvplEPKcRKNS_6StringE _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getIdEET_i _ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv _ZN2cv3dnn17PriorBoxLayerImpl16getParameterDictERKNS0_23experimental_dnn_34_v1111LayerParamsERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERNS2_9DictValueE 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_ZN2cv3dnn17PriorBoxLayerImpl9getParamsERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERKNS0_23experimental_dnn_34_v1111LayerParamsEPSt6vectorIfSaIfEE _ZNSt6vectorIiSaIiEE13_M_assign_auxIPKiEEvT_S5_St20forward_iterator_tag _ZN2cv3dnn17PriorBoxLayerImpl11forward_oclERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZN2cv3dnn17PriorBoxLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn17PriorBoxLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E25__cv_trace_location_fn402 _ZZN2cv3dnn17PriorBoxLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E22__cv_trace_arg_name403 _ZNSt6vectorIfSaIfEE19_M_emplace_back_auxIJfEEEvDpOT_ _ZN2cv3dnn17PriorBoxLayerImplC2ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn17PriorBoxLayerImplC1ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn23experimental_dnn_34_v1113PriorBoxLayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn17PriorBoxLayerImplENS_14DefaultDeleterIS3_EEEE _ZSt9__find_ifIN9__gnu_cxx17__normal_iteratorIPiSt6vectorIiSaIiEEEENS0_5__ops10_Iter_predIPFbiEEEET_SC_SC_T0_St26random_access_iterator_tag _ZNSt6vectorIiSaIiEEaSERKS1_ _ZNSt6vectorIS_IiSaIiEESaIS1_EE14_M_fill_insertEN9__gnu_cxx17__normal_iteratorIPS1_S3_EEmRKS1_ _ZNK2cv3dnn17PriorBoxLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1113PriorBoxLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1113PriorBoxLayerE _ZTSN2cv3dnn17PriorBoxLayerImplE _ZTIN2cv3dnn17PriorBoxLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn17PriorBoxLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn17PriorBoxLayerImplENS_14DefaultDeleterIS3_EEEE _ZN2cv3dnn17PriorBoxLayerImpl10_layerNameB5cxx11E _ZZN2cv3dnn17PriorBoxLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E28__cv_trace_arg_extra_name403 _ZZN2cv3dnn17PriorBoxLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E31__cv_trace_location_extra_fn402 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn17ProposalLayerImpl14supportBackendEi _ZN2cv3dnn17ProposalLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn17ProposalLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn17ProposalLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn17ProposalLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn23experimental_dnn_34_v1113ProposalLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1113ProposalLayerE _ZN2cv3dnn23experimental_dnn_34_v1113ProposalLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1113ProposalLayerD0Ev 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_ZN2cv6detail12PtrOwnerImplINS_3dnn14ReorgLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn14ReorgLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn14ReorgLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn23experimental_dnn_34_v1110ReorgLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1110ReorgLayerE _ZN2cv3dnn23experimental_dnn_34_v1110ReorgLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1110ReorgLayerD0Ev _ZN2cv3dnn14ReorgLayerImplD0Ev DW.ref.__gxx_personality_v0 _ZTVN2cv3dnn14ReorgLayerImplE _ZN2cv6detail12PtrOwnerImplINS_3dnn14ReorgLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv3dnn14ReorgLayerImplD2Ev _ZN2cv3dnn14ReorgLayerImplD1Ev _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZNK2cv3dnn14ReorgLayerImpl8getFLOPSERKSt6vectorIS2_IiSaIiEESaIS4_EES8_ _ZN2cv6detail8PtrOwner6decRefEv _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv _ZN2cv3dnn23experimental_dnn_34_v1110ReorgLayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn14ReorgLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZN2cv3dnn14ReorgLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn14ReorgLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E25__cv_trace_location_fn160 _ZZN2cv3dnn14ReorgLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E22__cv_trace_arg_name161 _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD1Ev _ZNSt6vectorIiSaIiEE17_M_default_appendEm _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setINS1_9DictValueEEERKT_RKNS_6StringES7_ _ZN2cv3dnn14ReorgLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZSt9__find_ifIN9__gnu_cxx17__normal_iteratorIPiSt6vectorIiSaIiEEEENS0_5__ops10_Iter_predIPFbiEEEET_SC_SC_T0_St26random_access_iterator_tag _ZNK2cv3dnn14ReorgLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1110ReorgLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1110ReorgLayerE _ZTSN2cv3dnn14ReorgLayerImplE _ZTIN2cv3dnn14ReorgLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn14ReorgLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn14ReorgLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn14ReorgLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E28__cv_trace_arg_extra_name161 _ZZN2cv3dnn14ReorgLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E31__cv_trace_location_extra_fn160 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn16ReshapeLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn16ReshapeLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ReshapeLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ReshapeLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn16ReshapeLayerImpl14supportBackendEi _ZN2cv3dnn23experimental_dnn_34_v1112ReshapeLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1112ReshapeLayerE _ZN2cv3dnn23experimental_dnn_34_v1112ReshapeLayerD1Ev _ZN2cv3dnn16ReshapeLayerImplD2Ev _ZN2cv3dnn16ReshapeLayerImplD1Ev _ZN2cv3dnn23experimental_dnn_34_v1112ReshapeLayerD0Ev _ZN2cv3dnn16ReshapeLayerImplD0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ReshapeLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZN2cv3MatD2Ev DW.ref.__gxx_personality_v0 _ZN2cv3MatD1Ev _ZN2cv3dnn23experimental_dnn_34_v1112ReshapeLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn16ReshapeLayerImplE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ReshapeLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZNSt6vectorIiSaIiEE13_M_assign_auxIPKiEEvT_S5_St20forward_iterator_tag _ZN2cv3dnn16ReshapeLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn16ReshapeLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E25__cv_trace_location_fn233 _ZZN2cv3dnn16ReshapeLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E22__cv_trace_arg_name234 _ZNSt6vectorIS_IiSaIiEESaIS1_EE19_M_emplace_back_auxIJS1_EEEvDpOT_ _ZNSt6vectorIiSaIiEEaSERKS1_ _ZNK2cv3dnn16ReshapeLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1112ReshapeLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1112ReshapeLayerE _ZTSN2cv3dnn16ReshapeLayerImplE _ZTIN2cv3dnn16ReshapeLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16ReshapeLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ReshapeLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn16ReshapeLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E28__cv_trace_arg_extra_name234 _ZZN2cv3dnn16ReshapeLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E31__cv_trace_location_extra_fn233 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn15ResizeLayerImpl14supportBackendEi _ZN2cv3dnn15ResizeLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv3dnn15InterpLayerImpl14supportBackendEi _ZN2cv3dnn15InterpLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn15InterpLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15InterpLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15ResizeLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15ResizeLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15ResizeLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15InterpLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15ResizeLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv3dnn23experimental_dnn_34_v1111ResizeLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1111ResizeLayerE _ZN2cv3dnn23experimental_dnn_34_v1111ResizeLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1111ResizeLayerD0Ev _ZN2cv3dnn15ResizeLayerImplD2Ev DW.ref.__gxx_personality_v0 _ZTVN2cv3dnn15ResizeLayerImplE _ZN2cv3dnn15ResizeLayerImplD1Ev _ZN2cv3dnn15ResizeLayerImplD0Ev _ZN2cv3dnn15InterpLayerImplD2Ev _ZN2cv3dnn15InterpLayerImplD1Ev _ZN2cv3dnn15InterpLayerImplD0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15InterpLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZN2cvplEPKcRKNS_6StringE _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv _ZN2cv3dnn15ResizeLayerImplC2ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn15ResizeLayerImplC1ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn23experimental_dnn_34_v1111ResizeLayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn15ResizeLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn15ResizeLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn15ResizeLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E24__cv_trace_location_fn89 _ZZN2cv3dnn15ResizeLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E21__cv_trace_arg_name90 _ZN2cv3dnn15ResizeLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZN2cv3dnn15InterpLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD1Ev _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE7_M_copyINSD_11_Alloc_nodeEEEPSt13_Rb_tree_nodeIS7_EPKSH_PSt18_Rb_tree_node_baseRT_ _ZN2cv3dnn23experimental_dnn_34_v1111InterpLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn15InterpLayerImplE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn15InterpLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIiSaIiEEaSERKS1_ _ZNSt6vectorIS_IiSaIiEESaIS1_EE14_M_fill_insertEN9__gnu_cxx17__normal_iteratorIPS1_S3_EEmRKS1_ _ZNK2cv3dnn15InterpLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZNK2cv3dnn15ResizeLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1111ResizeLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1111ResizeLayerE _ZTSN2cv3dnn15ResizeLayerImplE _ZTIN2cv3dnn15ResizeLayerImplE _ZTSN2cv3dnn15InterpLayerImplE _ZTIN2cv3dnn15InterpLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn15ResizeLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn15ResizeLayerImplENS_14DefaultDeleterIS3_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn15InterpLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn15InterpLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn15ResizeLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E27__cv_trace_arg_extra_name90 _ZZN2cv3dnn15ResizeLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E30__cv_trace_location_extra_fn89 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn14ScaleLayerImpl14supportBackendEi _ZN2cv3dnn14ScaleLayerImpl9tryAttachERKNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEE _ZN2cv3dnn14ScaleLayerImpl10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv3dnn14ScaleLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn14ScaleLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn14ScaleLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn14ScaleLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn23experimental_dnn_34_v1110ScaleLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1110ScaleLayerE _ZN2cv3dnn23experimental_dnn_34_v1110ScaleLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1110ScaleLayerD0Ev _ZN2cv3dnn14ScaleLayerImplD2Ev _ZN2cv3dnn14ScaleLayerImplD1Ev _ZN2cv3dnn14ScaleLayerImplD0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn14ScaleLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZNK2cv3dnn14ScaleLayerImpl8getFLOPSERKSt6vectorIS2_IiSaIiEESaIS4_EES8_ DW.ref.__gxx_personality_v0 _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZNK2cv3dnn14ScaleLayerImpl13getScaleShiftERNS_3MatES3_ _ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv _ZN2cv3dnn23experimental_dnn_34_v1110ScaleLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn14ScaleLayerImplE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn14ScaleLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn14ScaleLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZNSt6vectorIN2cv3MatESaIS1_EEaSERKS3_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD1Ev _ZNSt6vectorIiSaIiEE13_M_assign_auxIPKiEEvT_S5_St20forward_iterator_tag _ZN2cv3dnn14ScaleLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn14ScaleLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E24__cv_trace_location_fn59 _ZZN2cv3dnn14ScaleLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E21__cv_trace_arg_name60 _ZZN2cv3dnn14ScaleLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E14__cv_check__96_0 _ZZN2cv3dnn14ScaleLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E14__cv_check__96 _ZZN2cv3dnn14ScaleLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E14__cv_check__86 _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ _ZN2cv3dnn23experimental_dnn_34_v1110ShiftLayer6createERKNS1_11LayerParamsE _ZNSt6vectorIiSaIiEEaSERKS1_ _ZNK2cv3dnn14ScaleLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1110ScaleLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1110ScaleLayerE _ZTSN2cv3dnn14ScaleLayerImplE _ZTIN2cv3dnn14ScaleLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn14ScaleLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn14ScaleLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn14ScaleLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E27__cv_trace_arg_extra_name60 _ZZN2cv3dnn14ScaleLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E30__cv_trace_location_extra_fn59 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv6detail12PtrOwnerImplINS_3dnn23ShuffleChannelLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn23ShuffleChannelLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn23ShuffleChannelLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn23experimental_dnn_34_v1119ShuffleChannelLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1119ShuffleChannelLayerE _ZN2cv3dnn23experimental_dnn_34_v1119ShuffleChannelLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1119ShuffleChannelLayerD0Ev _ZN2cv3dnn23ShuffleChannelLayerImplD0Ev DW.ref.__gxx_personality_v0 _ZTVN2cv3dnn23ShuffleChannelLayerImplE _ZN2cv6detail12PtrOwnerImplINS_3dnn23ShuffleChannelLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv3dnn23ShuffleChannelLayerImplD2Ev _ZN2cv3dnn23ShuffleChannelLayerImplD1Ev _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZNK2cv3dnn23ShuffleChannelLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZN2cv6detail8PtrOwner6decRefEv _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv _ZN2cv3dnn23experimental_dnn_34_v1119ShuffleChannelLayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn23ShuffleChannelLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZN2cv3dnn23ShuffleChannelLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn23ShuffleChannelLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E24__cv_trace_location_fn92 _ZZN2cv3dnn23ShuffleChannelLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E21__cv_trace_arg_name93 _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD1Ev _ZNSt6vectorIiSaIiEE17_M_default_appendEm _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ _ZN2cv3dnn23ShuffleChannelLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1119ShuffleChannelLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1119ShuffleChannelLayerE _ZTSN2cv3dnn23ShuffleChannelLayerImplE _ZTIN2cv3dnn23ShuffleChannelLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23ShuffleChannelLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23ShuffleChannelLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn23ShuffleChannelLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E27__cv_trace_arg_extra_name93 _ZZN2cv3dnn23ShuffleChannelLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E30__cv_trace_location_extra_fn92 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn14SliceLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn14SliceLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn14SliceLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn14SliceLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn14SliceLayerImpl14supportBackendEi _ZN2cv3dnn14SliceLayerImplD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1110SliceLayerE _ZN2cv3dnn14SliceLayerImplD1Ev _ZN2cv3dnn23experimental_dnn_34_v1110SliceLayerD2Ev _ZN2cv3dnn23experimental_dnn_34_v1110SliceLayerD1Ev _ZN2cv3dnn14SliceLayerImplD0Ev _ZN2cv3dnn23experimental_dnn_34_v1110SliceLayerD0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn14SliceLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZN2cv3MatD2Ev DW.ref.__gxx_personality_v0 _ZN2cv3MatD1Ev _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZN2cv3dnn14SliceLayerImpl11forward_oclERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZN2cv3dnn14SliceLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn14SliceLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E25__cv_trace_location_fn239 _ZZN2cv3dnn14SliceLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E22__cv_trace_arg_name240 _ZNSt6vectorIS_IN2cv5RangeESaIS1_EESaIS3_EE17_M_default_appendEm _ZNSt6vectorIN2cv5RangeESaIS1_EE14_M_fill_insertEN9__gnu_cxx17__normal_iteratorIPS1_S3_EEmRKS1_ _ZNSt6vectorIN2cv5RangeESaIS1_EE19_M_emplace_back_auxIJS1_EEEvDpOT_ _ZNSt6vectorIN2cv5RangeESaIS1_EEaSERKS3_ _ZNSt6vectorIS_IN2cv5RangeESaIS1_EESaIS3_EE14_M_fill_insertEN9__gnu_cxx17__normal_iteratorIPS3_S5_EEmRKS3_ _ZN2cv3dnn14SliceLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZN2cv3dnn14SliceLayerImplC2ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZTVN2cv3dnn14SliceLayerImplE _ZN2cv3dnn14SliceLayerImplC1ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZN2cv3dnn23experimental_dnn_34_v1110SliceLayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn14SliceLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIiSaIiEEaSERKS1_ _ZNSt6vectorIS_IiSaIiEESaIS1_EE14_M_fill_insertEN9__gnu_cxx17__normal_iteratorIPS1_S3_EEmRKS1_ _ZNK2cv3dnn14SliceLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1110SliceLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1110SliceLayerE _ZTSN2cv3dnn14SliceLayerImplE _ZTIN2cv3dnn14SliceLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn14SliceLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn14SliceLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn14SliceLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E28__cv_trace_arg_extra_name240 _ZZN2cv3dnn14SliceLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E31__cv_trace_location_extra_fn239 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn16SoftMaxLayerImpl10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv3dnn16SoftMaxLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn16SoftMaxLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16SoftMaxLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn14OCL4DNNSoftmaxIfEENS_14DefaultDeleterIS5_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn14OCL4DNNSoftmaxIfEENS_14DefaultDeleterIS5_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn14OCL4DNNSoftmaxIfEENS_14DefaultDeleterIS5_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16SoftMaxLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv3dnn16SoftMaxLayerImpl14supportBackendEi _ZN2cv3dnn23experimental_dnn_34_v1112SoftmaxLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1112SoftmaxLayerE _ZN2cv3dnn23experimental_dnn_34_v1112SoftmaxLayerD1Ev _ZN2cv3dnn23experimental_dnn_34_v1112SoftmaxLayerD0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn14OCL4DNNSoftmaxIfEENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZN2cv3dnn16SoftMaxLayerImplD0Ev DW.ref.__gxx_personality_v0 _ZTVN2cv3dnn16SoftMaxLayerImplE _ZN2cv3dnn16SoftMaxLayerImpl8finalizeERKSt6vectorIPNS_3MatESaIS4_EERS2_IS3_SaIS3_EE _ZN2cv3dnn16SoftMaxLayerImplD2Ev _ZN2cv3dnn16SoftMaxLayerImplD1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16SoftMaxLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZNK2cv3dnn16SoftMaxLayerImpl8getFLOPSERKSt6vectorIS2_IiSaIiEESaIS4_EES8_ _ZN2cv6detail8PtrOwner6decRefEv _ZN2cv3dnn23experimental_dnn_34_v1112SoftmaxLayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16SoftMaxLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZN2cv3dnn16SoftMaxLayerImpl11forward_oclERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZTVN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn14OCL4DNNSoftmaxIfEENS_14DefaultDeleterIS5_EEEE _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn16SoftMaxLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn16SoftMaxLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E25__cv_trace_location_fn187 _ZZN2cv3dnn16SoftMaxLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E22__cv_trace_arg_name188 _ZNSt6vectorIiSaIiEEaSERKS1_ _ZNK2cv3dnn16SoftMaxLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1112SoftmaxLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1112SoftmaxLayerE _ZTSN2cv3dnn16SoftMaxLayerImplE _ZTIN2cv3dnn16SoftMaxLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn14OCL4DNNSoftmaxIfEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn14OCL4DNNSoftmaxIfEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16SoftMaxLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16SoftMaxLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn16SoftMaxLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E28__cv_trace_arg_extra_name188 _ZZN2cv3dnn16SoftMaxLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E31__cv_trace_location_extra_fn187 _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE 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_ZTVN2cv3dnn14SplitLayerImplE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn14SplitLayerImplENS_14DefaultDeleterIS3_EEEE _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn14SplitLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ _ZZN2cv3dnn14SplitLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E24__cv_trace_location_fn83 _ZZN2cv3dnn14SplitLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E21__cv_trace_arg_name84 _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv3dnn23experimental_dnn_34_v1110SplitLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1110SplitLayerE _ZTSN2cv3dnn14SplitLayerImplE _ZTIN2cv3dnn14SplitLayerImplE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn14SplitLayerImplENS_14DefaultDeleterIS3_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn14SplitLayerImplENS_14DefaultDeleterIS3_EEEE _ZZN2cv3dnn14SplitLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E27__cv_trace_arg_extra_name84 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_ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigENS_14DefaultDeleterIS6_EEE10deleteSelfEv _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZN2cv6detail8PtrOwner6decRefEv _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZN2cv3MataSEOS0_ _ZN2cv4UMat7releaseEv _ZNK2cv4UMat5emptyEv _ZN2cv3dnn11GLogWrapper5checkEv _ZNSt4pairINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES5_ED2Ev _ZNSt4pairINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES5_ED1Ev _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE15CreateSubBufferERKNS_4UMatERS4_iib _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12setActivReLUEbf _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13setActivPReLUEbRSt6vectorIfSaIfEE _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13setActivPowerEbf _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12setActivTanhEb _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13setActivReLU6Ebff _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE7setBiasEb _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE6addDefEPKc _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE6addDefEPKci _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE6addDefEPKcf _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE6addDefEPKcd _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE6addDefEPKcS5_ _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE24collectCommonInformationEv _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE15saveTunedConfigEv _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE15setFusionDefineENS1_19ocl4dnnFusedActiv_tEb _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12setFusionArgENS1_19ocl4dnnFusedActiv_tEbRNS_3ocl6KernelERj _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamC2Eiiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamC1Eiiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigC2Ev _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigC1Ev _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigC2ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPKmSE_PKibi _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigC1ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPKmSE_PKibi _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED2Ev _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED1Ev _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE19generateSpecificKeyB5cxx11Eiiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE18setupKernelDetailsEiiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE11setupKernelEv _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13swizzleWeightERKNS_4UMatEib _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE11generateKeyEv _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED0Ev _ZN2cv7makePtrINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPmSC_PibNS2_30ocl4dnnConvSpatialKernelType_tEEENS_3PtrIT_EERKT0_RKT1_RKT2_RKT3_RKT4_RKT5_ _ZTVN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigENS_14DefaultDeleterIS6_EEEE _ZN2cv7makePtrINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamENS2_30ocl4dnnConvSpatialKernelType_tEiiiEENS_3PtrIT_EERKT0_RKT1_RKT2_RKT3_ _ZTVN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamENS_14DefaultDeleterIS6_EEEE _ZNSt6vectorIN2cv3PtrINS0_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamEEESaIS7_EED2Ev _ZNSt6vectorIN2cv3PtrINS0_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamEEESaIS7_EED1Ev _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3ocl7ProgramEESt10_Select1stISB_ESt4lessIS5_ESaISB_EE4findERS7_ _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE8convolveERKNS_4UMatERS4_S6_S6_iPNS3_12kernelConfigE _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13timedConvolveERKNS_4UMatERS4_S6_S6_iPNS3_12kernelConfigE DW.ref._ZTIN2cv9ExceptionE _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12verifyResultERKNS_4UMatERS4_S6_S6_iPNS3_12kernelConfigES7_ DW.ref._ZTISt9exception _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13unloadProgramERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_S5_ESt10_Select1stIS8_ESt4lessIS5_ESaIS8_EE8_M_eraseEPSt13_Rb_tree_nodeIS8_E _ZNSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES5_St4lessIS5_ESaISt4pairIKS5_S5_EEED2Ev _ZNSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES5_St4lessIS5_ESaISt4pairIKS5_S5_EEED1Ev _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_S5_ESt10_Select1stIS8_ESt4lessIS5_ESaIS8_EE24_M_get_insert_unique_posERS7_ _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_S5_ESt10_Select1stIS8_ESt4lessIS5_ESaIS8_EE16_M_insert_uniqueIS6_IS5_S5_EEES6_ISt17_Rb_tree_iteratorIS8_EbEOT_ _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE16cacheTunedConfigEv _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3ocl7ProgramEESt10_Select1stISB_ESt4lessIS5_ESaISB_EE16_M_insert_uniqueIS6_IS5_SA_EEES6_ISt17_Rb_tree_iteratorISB_EbEOT_ _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13compileKernelEv _ZNSt6vectorIN2cv3PtrINS0_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigEEESaIS7_EE19_M_emplace_back_auxIJS7_EEEvDpOT_ _ZNSt6vectorIN2cv3PtrINS0_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigEEESaIS7_EE12emplace_backIJS7_EEEvDpOT_ _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE24createGEMMLikeConvKernelEiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE16createIDLFKernelEiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE17createBasicKernelEiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE18calculateBenchmarkERKNS_4UMatERS4_S6_S6_i _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE18createDWConvKernelEiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE23createConvolutionKernelEiiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE19setupKernelByConfigEiiiiiiibb _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE15loadTunedConfigEv _ZZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE15loadTunedConfigEvE5warn_ _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE16loadCachedConfigEv default_kernel_config_intel_fp32 _ZNSt6vectorIN2cv3PtrINS0_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamEEESaIS7_EE19_M_emplace_back_auxIJS7_EEEvDpOT_ _ZNSt6vectorIN2cv3PtrINS0_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamEEESaIS7_EE12emplace_backIJS7_EEEvDpOT_ _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE28generate_gemmlike_tuneritemsERSt6vectorINS_3PtrINS3_10tunerParamEEESaIS7_EEiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE24generate_idlf_tuneritemsERSt6vectorINS_3PtrINS3_10tunerParamEEESaIS7_EEiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE26generate_dwconv_tuneritemsERSt6vectorINS_3PtrINS3_10tunerParamEEESaIS7_EEiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE18generateTunerItemsERSt6vectorINS_3PtrINS3_10tunerParamEEESaIS7_EE _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE17useFirstAvailableERKNS_4UMatERS4_S6_S6_iS7_ _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE16setupConvolutionERKNS_4UMatERS4_S6_S6_iS7_ _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3ocl7ProgramEESt10_Select1stISB_ESt4lessIS5_ESaISB_EE8_M_eraseEPSt13_Rb_tree_nodeISB_E _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfEC2ENS1_17OCL4DNNConvConfigE _ZZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfEC4ENS1_17OCL4DNNConvConfigEE5warn_ _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfEC1ENS1_17OCL4DNNConvConfigE _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfED2Ev _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfED1Ev _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3ocl7ProgramEESt10_Select1stISB_ESt4lessIS5_ESaISB_EE5eraseERS7_ _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13prepareKernelERKNS_4UMatERS4_S6_S6_i _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE7ForwardERKNS_4UMatES6_S6_S6_RS4_i _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigENS_14DefaultDeleterIS6_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigENS_14DefaultDeleterIS6_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamENS_14DefaultDeleterIS6_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamENS_14DefaultDeleterIS6_EEEE default_kernel_config_intel_fp16 _ZN2cv3dnn7ocl4dnn19OCL4DNNInnerProductIfEC2ENS1_25OCL4DNNInnerProductConfigE _ZN2cv3dnn7ocl4dnn19OCL4DNNInnerProductIfEC1ENS1_25OCL4DNNInnerProductConfigE _ZN2cv3dnn7ocl4dnn19OCL4DNNInnerProductIfED2Ev _ZN2cv3dnn7ocl4dnn19OCL4DNNInnerProductIfED1Ev _ZN2cv3dnn7ocl4dnn19OCL4DNNInnerProductIfE7ForwardERKNS_4UMatES6_S6_RS4_ DW.ref.__gxx_personality_v0 _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED2Ev _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED1Ev _ZN2cv3dnn7ocl4dnn10OCL4DNNLRNIfEC2ENS1_16OCL4DNNLRNConfigE DW.ref.__gxx_personality_v0 _ZN2cv3dnn7ocl4dnn10OCL4DNNLRNIfEC1ENS1_16OCL4DNNLRNConfigE _ZN2cv3dnn7ocl4dnn10OCL4DNNLRNIfE19crossChannelForwardERKNS_4UMatERS4_ _ZN2cv3dnn7ocl4dnn10OCL4DNNLRNIfE7ForwardERKNS_4UMatERS4_ _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED0Ev _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZN2cv3dnn7ocl4dnn11OCL4DNNPoolIfED2Ev _ZN2cv3dnn7ocl4dnn11OCL4DNNPoolIfED1Ev _ZN2cv3dnn7ocl4dnn11OCL4DNNPoolIfE7ForwardERKNS_4UMatERS4_S7_ DW.ref.__gxx_personality_v0 _ZNSt6vectorIiSaIiEE19_M_emplace_back_auxIJRKiEEEvDpOT_ _ZN2cv3dnn7ocl4dnn11OCL4DNNPoolIfEC2ENS1_17OCL4DNNPoolConfigE _ZN2cv3dnn7ocl4dnn11OCL4DNNPoolIfEC1ENS1_17OCL4DNNPoolConfigE _ZN2cv3dnn7ocl4dnn14OCL4DNNSoftmaxIfEC2ENS1_20OCL4DNNSoftmaxConfigE DW.ref.__gxx_personality_v0 _ZN2cv3dnn7ocl4dnn14OCL4DNNSoftmaxIfEC1ENS1_20OCL4DNNSoftmaxConfigE _ZN2cv3dnn7ocl4dnn14OCL4DNNSoftmaxIfED2Ev _ZN2cv3dnn7ocl4dnn14OCL4DNNSoftmaxIfED1Ev _ZN2cv3dnn7ocl4dnn14OCL4DNNSoftmaxIfE7ForwardERKNS_4UMatERS4_ _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc DW.ref.__gxx_personality_v0 _ZN2cv6StringaSEPKc _ZN2cv6detail8PtrOwner6decRefEv _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZN2cv3Mat6createEiii _ZN2cv3MataSEOS0_ _ZN2cv6StringC2ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE _ZN2cv6StringC1ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE _ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getIlEET_i _ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getIdEET_i _ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv _ZN2cv3dnn23experimental_dnn_34_v119DictValueC2ERKS2_ _ZN2cv3dnn23experimental_dnn_34_v119DictValueC1ERKS2_ _ZN2cv3dnn23experimental_dnn_34_v1117releaseONNXTensorERN11opencv_onnx11TensorProtoE _ZN2cv7MatExprD2Ev _ZN2cv7MatExprD1Ev _ZNSt4pairIN2cv6StringENS0_3MatEEC1IRS1_RS2_Lb1EEEOT_OT0_ _ZN2cv10AutoBufferINS_6StringELm1EEC2ERKS2_ _ZN2cv10AutoBufferINS_6StringELm1EEC1ERKS2_ _ZN2cv3dnn23experimental_dnn_34_v119DictValueaSERKS2_ _ZN6google8protobuf13RepeatedFieldIlEC2ERKS2_ _ZN6google8protobuf13RepeatedFieldIlEC1ERKS2_ _ZStplIcSt11char_traitsIcESaIcEENSt7__cxx1112basic_stringIT_T0_T1_EEPKS5_RKS8_ _ZN2cv3dnn23experimental_dnn_34_v1112ONNXImporter7getBlobERKN11opencv_onnx9NodeProtoERKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_3MatESt4lessISD_ESaISt4pairIKSD_SE_EEEi _ZNSt6vectorIS_IiSaIiEESaIS1_EED2Ev _ZNSt6vectorIS_IiSaIiEESaIS1_EED1Ev _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn23experimental_dnn_34_v119DictValue8arrayIntIPiEES2_T_i _ZNSt6vectorIiSaIiEEaSERKS1_ _ZN2cv3Mat2atIfEERT_i _ZN2cv3Mat2atIiEERT_i _ZNKSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE4findERS3_ _ZNK2cv3dnn23experimental_dnn_34_v114Dict3getERKNS_6StringE _ZN2cv3dnn23experimental_dnn_34_v1112ONNXImporter10isCeilModeERKNS1_11LayerParamsE _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE4findERS3_ _ZN6google8protobuf13RepeatedFieldIfE7ReserveEi _ZN6google8protobuf13RepeatedFieldIlE7ReserveEi _ZN6google8protobuf13RepeatedFieldIdE7ReserveEi _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3MatEESt10_Select1stISA_ESt4lessIS5_ESaISA_EE8_M_eraseEPSt13_Rb_tree_nodeISA_E _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE5eraseERS3_ _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD1Ev _ZNSt6vectorIN2cv3MatESaIS1_EE19_M_emplace_back_auxIJRKS1_EEEvDpOT_ _ZNSt6vectorIN2cv3MatESaIS1_EE9push_backERKS1_ _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_St6vectorIiSaIiEEESt10_Select1stISB_ESt4lessIS5_ESaISB_EE8_M_eraseEPSt13_Rb_tree_nodeISB_E _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3dnn23experimental_dnn_34_v1112ONNXImporter9LayerInfoEESt10_Select1stISD_ESt4lessIS5_ESaISD_EE8_M_eraseEPSt13_Rb_tree_nodeISD_E _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3dnn23experimental_dnn_34_v1112ONNXImporter9LayerInfoEESt10_Select1stISD_ESt4lessIS5_ESaISD_EE4findERS7_ _ZNSt6vectorIiSaIiEE7emplaceIJiEEEN9__gnu_cxx17__normal_iteratorIPiS1_EENS4_IPKiS1_EEDpOT_ _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_St6vectorIiSaIiEEESt10_Select1stISB_ESt4lessIS5_ESaISB_EE4findERS7_ _ZNSt6vectorIS_IiSaIiEESaIS1_EE19_M_emplace_back_auxIJRKS1_EEEvDpOT_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setIiEERKT_RKNS_6StringES6_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setIfEERKT_RKNS_6StringES6_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEERKT_RKNS_6StringESC_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setINS1_9DictValueEEERKT_RKNS_6StringES7_ _ZN2cv3dnn23experimental_dnn_34_v1117replaceLayerParamERNS1_11LayerParamsERKNS_6StringES6_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setIA4_cEERKT_RKNS_6StringES7_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setIbEERKT_RKNS_6StringES6_ _ZNSt6vectorIiSaIiEE19_M_emplace_back_auxIJiEEEvDpOT_ _ZN2cv3dnn23experimental_dnn_34_v1116getMatFromTensorERN11opencv_onnx11TensorProtoE _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3MatEESt10_Select1stISA_ESt4lessIS5_ESaISA_EE24_M_get_insert_unique_posERS7_ _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3MatEESt10_Select1stISA_ESt4lessIS5_ESaISA_EE16_M_insert_uniqueIS6_INS8_6StringES9_EEES6_ISt17_Rb_tree_iteratorISA_EbEOT_ _ZNSt6vectorIN2cv6StringESaIS1_EE19_M_emplace_back_auxIJS1_EEEvDpOT_ _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3dnn23experimental_dnn_34_v1112ONNXImporter9LayerInfoEESt10_Select1stISD_ESt4lessIS5_ESaISD_EE24_M_get_insert_unique_posERS7_ _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3dnn23experimental_dnn_34_v1112ONNXImporter9LayerInfoEESt10_Select1stISD_ESt4lessIS5_ESaISD_EE16_M_insert_uniqueIS6_IS5_SC_EEES6_ISt17_Rb_tree_iteratorISD_EbEOT_ _ZNSt6vectorIN2cv3MatESaIS1_EE19_M_emplace_back_auxIJS1_EEEvDpOT_ _ZNSt6vectorIN2cv3MatESaIS1_EE12emplace_backIJS1_EEEvDpOT_ _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3dnn23experimental_dnn_34_v1112ONNXImporter9LayerInfoEESt10_Select1stISD_ESt4lessIS5_ESaISD_EE10_M_insert_IS6_INS8_6StringESC_ENSJ_11_Alloc_nodeEEESt17_Rb_tree_iteratorISD_EPSt18_Rb_tree_node_baseSR_OT_RT0_ _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_St6vectorIiSaIiEEESt10_Select1stISB_ESt4lessIS5_ESaISB_EE24_M_get_insert_unique_posERS7_ _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_St6vectorIiSaIiEEESt10_Select1stISB_ESt4lessIS5_ESaISB_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorISB_ERS7_ _ZNSt20__uninitialized_copyILb0EE13__uninit_copyIPKN2cv3MatEPS3_EET0_T_S8_S7_ _ZNSt6vectorIN2cv3MatESaIS1_EE17_M_default_appendEm _ZN2cv3dnn23experimental_dnn_34_v118runLayerENS_3PtrINS1_5LayerEEERKSt6vectorINS_3MatESaIS6_EERS8_ _ZN2cv3dnn23experimental_dnn_34_v1112ONNXImporter15getGraphTensorsB5cxx11ERKN11opencv_onnx10GraphProtoE _ZN2cv3dnn23experimental_dnn_34_v1118readTensorFromONNXERKNS_6StringE _ZN2cv3dnn23experimental_dnn_34_v1112ONNXImporter14getLayerParamsERKN11opencv_onnx9NodeProtoE _ZN2cv3dnn23experimental_dnn_34_v1112ONNXImporter11populateNetENS1_3NetE _ZN2cv3dnn23experimental_dnn_34_v1115readNetFromONNXERKNS_6StringE _ZN2cv3dnn16getCanonicalSizeERKNS_7MatSizeEPiS4_S4_S4_ DW.ref.__gxx_personality_v0 _ZN2cv3dnn16getCanonicalSizeERKSt6vectorIiSaIiEEPiS6_S6_S6_ _ZN2cv3dnn13compileHalideERKSt6vectorINS_3MatESaIS2_EERNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEEi _ZN2cv3dnn13forwardHalideERSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS5_EERKNS2_INS3_11BackendNodeEEE _ZN2cv3dnn10haveHalideEv _ZN2cv3dnn13haveInfEngineEv _ZN2cv3dnn16forwardInfEngineERNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEE DW.ref.__gxx_personality_v0 _ZN2cv3dnn23experimental_dnn_34_v1117resetMyriadDeviceEv _ZN2cv3dnn23experimental_dnn_34_v118Subgraph8finalizeERN17opencv_tensorflow8GraphDefEPNS3_7NodeDefERSt6vectorIS7_SaIS7_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1122ReshapeAsShapeSubgraphENS_14DefaultDeleterIS4_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1122ReshapeAsShapeSubgraphENS_14DefaultDeleterIS4_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1123UpsamplingKerasSubgraphENS_14DefaultDeleterIS4_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1123UpsamplingKerasSubgraphENS_14DefaultDeleterIS4_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1122ResizeBilinearSubgraphENS_14DefaultDeleterIS4_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1122ResizeBilinearSubgraphENS_14DefaultDeleterIS4_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1130DeconvolutionSameKerasSubgraphENS_14DefaultDeleterIS4_EEED2Ev 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_ZN2TH12THFile_asciiEPNS_8THFile__E _ZN2TH18THFile_autoSpacingEPNS_8THFile__E _ZN2TH20THFile_noAutoSpacingEPNS_8THFile__E _ZN2TH12THFile_quietEPNS_8THFile__E _ZN2TH15THFile_pedanticEPNS_8THFile__E _ZN2TH17THFile_clearErrorEPNS_8THFile__E _ZN2TH21THFile_readByteScalarEPNS_8THFile__E _ZN2TH21THFile_readCharScalarEPNS_8THFile__E _ZN2TH22THFile_readShortScalarEPNS_8THFile__E _ZN2TH20THFile_readIntScalarEPNS_8THFile__E _ZN2TH21THFile_readLongScalarEPNS_8THFile__E _ZN2TH22THFile_readFloatScalarEPNS_8THFile__E _ZN2TH23THFile_readDoubleScalarEPNS_8THFile__E _ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleENS_14DefaultDeleterIS5_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleENS_14DefaultDeleterIS5_EEED1Ev _ZN2cv6detail12PtrOwnerImplIN2TH8THFile__EPFvPS3_EED2Ev _ZN2cv6detail12PtrOwnerImplIN2TH8THFile__EPFvPS3_EED1Ev _ZN2cv6detail12PtrOwnerImplIN2TH8THFile__EPFvPS3_EED0Ev _ZN2cv6detail12PtrOwnerImplIN2TH8THFile__EPFvPS3_EE10deleteSelfEv _ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleENS_14DefaultDeleterIS5_EEED0Ev _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc DW.ref.__gxx_personality_v0 _ZN2cv6StringaSEPKc _ZN2cvplERKNS_6StringEPKc _ZN2cvplEPKcRKNS_6StringE _ZN2cv6detail8PtrOwner6decRefEv _ZN2cv3MatC2ERKS0_ _ZN2cv3MatC1ERKS0_ _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZN2cv3Mat6createEiii _ZN2cv3MatC2EOS0_ _ZN2cv3MatC1EOS0_ _ZNK2cv7MatExprcvNS_3MatEEv _ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getIlEET_i _ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getIdEET_i _ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getINS_6StringEEET_i _ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv _ZN2cv3dnn23experimental_dnn_34_v119DictValueC2ERKS2_ _ZN2cv3dnn23experimental_dnn_34_v119DictValueC1ERKS2_ _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter6ModuleC2ERKNS_6StringES6_ _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter6ModuleC1ERKNS_6StringES6_ _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter10readStringEv _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter18readTorchClassNameEv _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter14parseTorchTypeERKNS_6StringEPKcS7_ _ZN2cv7MatExprD2Ev _ZN2cv7MatExprD1Ev _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter17generateLayerNameERKNS_6StringE _ZN2cv10AutoBufferINS_6StringELm1EEC2ERKS2_ _ZN2cv10AutoBufferINS_6StringELm1EEC1ERKS2_ _ZN2cv3dnn23experimental_dnn_34_v119DictValueaSERKS2_ _ZNSt4pairIN2cv6StringENS0_3dnn23experimental_dnn_34_v119DictValueEEC2IS4_Lb1EEERKS1_OT_ _ZNSt4pairIN2cv6StringENS0_3dnn23experimental_dnn_34_v119DictValueEEC1IS4_Lb1EEERKS1_OT_ _ZNSt6vectorIiSaIiEEC2EmRKiRKS0_ _ZNSt6vectorIiSaIiEEC1EmRKiRKS0_ _ZN2cv3dnn23experimental_dnn_34_v119DictValue8arrayIntIPiEES2_T_i _ZNKSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE4findERS3_ _ZNK2cv3dnn23experimental_dnn_34_v114Dict3getERKNS_6StringE _ZNK2cv3dnn23experimental_dnn_34_v114Dict3getIbEET_RKNS_6StringE _ZNK2cv3dnn23experimental_dnn_34_v114Dict3getIbEET_RKNS_6StringERKS4_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE4findERS3_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZNSt8_Rb_treeIiiSt9_IdentityIiESt4lessIiESaIiEE8_M_eraseEPSt13_Rb_tree_nodeIiE _ZNSt8_Rb_treeIiSt4pairIKiN2cv3MatEESt10_Select1stIS4_ESt4lessIiESaIS4_EE8_M_eraseEPSt13_Rb_tree_nodeIS4_E _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporterC2ENS_6StringEbb _ZZN2cv3dnn23experimental_dnn_34_v1113TorchImporterC4ENS_6StringEbbE25__cv_trace_location_fn136 _ZTVN2cv6detail12PtrOwnerImplIN2TH8THFile__EPFvPS3_EEE _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporterC1ENS_6StringEbb _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporterD2Ev _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporterD1Ev _ZNSt8_Rb_treeIiiSt9_IdentityIiESt4lessIiESaIiEE16_M_insert_uniqueIRKiEESt4pairISt17_Rb_tree_iteratorIiEbEOT_ _ZNSt8_Rb_treeIiSt4pairIKiN2cv3MatEESt10_Select1stIS4_ESt4lessIiESaIS4_EE16_M_insert_uniqueIS0_IiS3_EEES0_ISt17_Rb_tree_iteratorIS4_EbEOT_ _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter16readTorchStorageEii _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_S2_IiNS0_3MatEEESt10_Select1stIS6_ESt4lessIS1_ESaIS6_EE8_M_eraseEPSt13_Rb_tree_nodeIS6_E _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleEEESaIS6_EE19_M_emplace_back_auxIJRKS6_EEEvDpOT_ _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleEEESaIS6_EE9push_backERKS6_ _ZNKSt8_Rb_treeIN2cv6StringESt4pairIKS1_S2_IiNS0_3MatEEESt10_Select1stIS6_ESt4lessIS1_ESaIS6_EE4findERS3_ _ZNSt6vectorIN2cv3MatESaIS1_EE19_M_emplace_back_auxIJRKS1_EEEvDpOT_ _ZNSt6vectorIN2cv3MatESaIS1_EE9push_backERKS1_ _ZNSt8_Rb_treeIiSt4pairIKiN2cv3MatEESt10_Select1stIS4_ESt4lessIiESaIS4_EE24_M_get_insert_unique_posERS1_ _ZNSt3mapIiN2cv3MatESt4lessIiESaISt4pairIKiS1_EEEixERS5_ _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter15readTorchTensorEii _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_S2_IiNS0_3MatEEESt10_Select1stIS6_ESt4lessIS1_ESaIS6_EE24_M_get_insert_unique_posERS3_ _ZNSt3mapIN2cv6StringESt4pairIiNS0_3MatEESt4lessIS1_ESaIS2_IKS1_S4_EEEixEOS1_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_S2_IiNS0_3MatEEESt10_Select1stIS6_ESt4lessIS1_ESaIS6_EE16_M_insert_uniqueIS2_IS1_S5_EEES2_ISt17_Rb_tree_iteratorIS6_EbEOT_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setIbEERKT_RKNS_6StringES6_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setIfEERKT_RKNS_6StringES6_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setIA8_cEERKT_RKNS_6StringES7_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setIiEERKT_RKNS_6StringES6_ _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter25convertTorchKernelsParamsERKNS1_4DictERNS1_11LayerParamsE _ZN2cv3dnn23experimental_dnn_34_v114Dict3setINS1_9DictValueEEERKT_RKNS_6StringES7_ _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleEEESaIS6_EE19_M_emplace_back_auxIJS6_EEEvDpOT_ _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleEEESaIS6_EE12emplace_backIJS6_EEEvDpOT_ _ZNSt6vectorIN2cv3MatESaIS1_EE19_M_emplace_back_auxIJS1_EEEvDpOT_ _ZNSt6vectorIN2cv3MatESaIS1_EE12emplace_backIJS1_EEEvDpOT_ _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter15readTorchObjectEi _ZTVN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter14readTorchTableERNS1_4DictERSt3mapINS_6StringESt4pairIiNS_3MatEESt4lessIS6_ESaIS7_IKS6_S9_EEE _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter10readObjectEv _ZN2cv3dnn23experimental_dnn_34_v1113readTorchBlobERKNS_6StringEb _ZNSt6vectorISt4pairIiPN2cv3dnn23experimental_dnn_34_v1113TorchImporter6ModuleEESaIS7_EE19_M_emplace_back_auxIJS7_EEEvDpOT_ _ZNSt6vectorISt4pairIiPN2cv3dnn23experimental_dnn_34_v1113TorchImporter6ModuleEESaIS7_EE12emplace_backIJS7_EEEvDpOT_ _ZNSt6vectorIiSaIiEE19_M_emplace_back_auxIJiEEEvDpOT_ _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter4fillEPNS2_6ModuleERSt6vectorISt4pairIiS4_ESaIS7_EEii _ZN2cv3dnn23experimental_dnn_34_v1116readNetFromTorchERKNS_6StringEbb _ZZN2cv3dnn23experimental_dnn_34_v1113TorchImporter11populateNetENS1_3NetEE26__cv_trace_location_fn1228 _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTSN2cv6detail12PtrOwnerImplIN2TH8THFile__EPFvPS3_EEE _ZTIN2cv6detail12PtrOwnerImplIN2TH8THFile__EPFvPS3_EEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleENS_14DefaultDeleterIS5_EEEE _ZZN2cv3dnn23experimental_dnn_34_v1113TorchImporter11populateNetENS1_3NetEE32__cv_trace_location_extra_fn1228 _ZZN2cv3dnn23experimental_dnn_34_v1113TorchImporterC4ENS_6StringEbbE31__cv_trace_location_extra_fn136 _ZN2cv3ocl3dnn19softmax_loss_oclsrcE _ZN2cv3ocl3dnn14softmax_oclsrcE _ZN2cv3ocl3dnn12slice_oclsrcE _ZN2cv3ocl3dnn13region_oclsrcE _ZN2cv3ocl3dnn16prior_box_oclsrcE _ZN2cv3ocl3dnn14pooling_oclsrcE _ZN2cv3ocl3dnn14permute_oclsrcE _ZN2cv3ocl3dnn22ocl4dnn_pooling_oclsrcE _ZN2cv3ocl3dnn18ocl4dnn_lrn_oclsrcE _ZN2cv3ocl3dnn10mvn_oclsrcE _ZN2cv3ocl3dnn17matvec_mul_oclsrcE _ZN2cv3ocl3dnn11math_oclsrcE _ZN2cv3ocl3dnn10lrn_oclsrcE _ZN2cv3ocl3dnn13im2col_oclsrcE _ZN2cv3ocl3dnn17gemm_image_oclsrcE _ZN2cv3ocl3dnn18gemm_buffer_oclsrcE _ZN2cv3ocl3dnn14eltwise_oclsrcE _ZN2cv3ocl3dnn12dummy_oclsrcE _ZN2cv3ocl3dnn23detection_output_oclsrcE _ZN2cv3ocl3dnn26conv_spatial_helper_oclsrcE _ZN2cv3ocl3dnn25conv_layer_spatial_oclsrcE _ZN2cv3ocl3dnn13concat_oclsrcE _ZN2cv3ocl3dnn13col2im_oclsrcE _ZN2cv3ocl3dnn16batchnorm_oclsrcE _ZN2cv3ocl3dnn18activations_oclsrcE // 1202 `
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opencv-caffe.pb.cc.o/
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opencv-onnx.pb.cc.o/
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attr_value.pb.cc.o/
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function.pb.cc.o/
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tensor_shape.pb.cc.o/
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versions.pb.cc.o/
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caffe_importer.cpp.o/
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caffe_shrinker.cpp.o/
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darknet_importer.cpp.o/
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darknet_io.cpp.o/
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halide_scheduler.cpp.o/
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batch_norm_layer.cpp.o/
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blank_layer.cpp.o/
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concat_layer.cpp.o/
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const_layer.cpp.o/
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convolution_layer.cpp.o/
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crop_and_resize_layer.cpp.o/
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crop_layer.cpp.o/
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detection_output_layer.cpp.o/
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elementwise_layers.cpp.o/
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eltwise_layer.cpp.o/
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flatten_layer.cpp.o/
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fully_connected_layer.cpp.o/
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layers_common.cpp.o/
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max_unpooling_layer.cpp.o/
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normalize_bbox_layer.cpp.o/
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padding_layer.cpp.o/
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permute_layer.cpp.o/
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pooling_layer.cpp.o/
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prior_box_layer.cpp.o/
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proposal_layer.cpp.o/
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recurrent_layers.cpp.o/
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region_layer.cpp.o/
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reorg_layer.cpp.o/
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reshape_layer.cpp.o/
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resize_layer.cpp.o/
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scale_layer.cpp.o/
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shuffle_channel_layer.cpp.o/
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slice_layer.cpp.o/
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softmax_layer.cpp.o/
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split_layer.cpp.o/
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math_functions.cpp.o/
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ocl4dnn_conv_spatial.cpp.o/
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ocl4dnn_inner_product.cpp.o/
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ocl4dnn_lrn.cpp.o/
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ocl4dnn_pool.cpp.o/
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ocl4dnn_softmax.cpp.o/
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onnx_importer.cpp.o/
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op_inf_engine.cpp.o/
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tf_graph_simplifier.cpp.o/
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tf_importer.cpp.o/
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THDiskFile.cpp.o/
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torch_importer.cpp.o/
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opencl_kernels_dnn.cpp.o/
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/0 1588753597 1000 1000 100644 2195304 `
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accuracy_param ( 2 .opencv_caffe.AccuracyParameter3
|
argmax_param ( 2 .opencv_caffe.ArgMaxParameter3
|
concat_param ( 2 .opencv_caffe.ConcatParameterF
|
contrastive_loss_param( ( 2&.opencv_caffe.ContrastiveLossParameter=
|
convolution_param
|
( 2".opencv_caffe.ConvolutionParameter/
|
|
data_param ( 2.opencv_caffe.DataParameter5
|
dropout_param ( 2 .opencv_caffe.DropoutParameter:
|
dummy_data_param ( 2 .opencv_caffe.DummyDataParameter5
|
eltwise_param ( 2 .opencv_caffe.EltwiseParameter-
|
exp_param) ( 2.opencv_caffe.ExpParameter8
|
hdf5_data_param ( 2 .opencv_caffe.HDF5DataParameter<
|
hdf5_output_param ( 2!.opencv_caffe.HDF5OutputParameter:
|
hinge_loss_param ( 2 .opencv_caffe.HingeLossParameter:
|
image_data_param ( 2 .opencv_caffe.ImageDataParameter@
|
infogain_loss_param ( 2#.opencv_caffe.InfogainLossParameter@
|
inner_product_param ( 2#.opencv_caffe.InnerProductParameter-
|
lrn_param ( 2.opencv_caffe.LRNParameter<
|
memory_data_param ( 2!.opencv_caffe.MemoryDataParameter-
|
mvn_param" ( 2.opencv_caffe.MVNParameter5
|
pooling_param ( 2 .opencv_caffe.PoolingParameter1
|
power_param ( 2 .opencv_caffe.PowerParameter/
|
|
relu_param ( 2.opencv_caffe.ReLUParameter5
|
sigmoid_param& ( 2 .opencv_caffe.SigmoidParameter5
|
softmax_param' ( 2 .opencv_caffe.SoftmaxParameter1
|
slice_param ( 2 .opencv_caffe.SliceParameter/
|
|
tanh_param% ( 2.opencv_caffe.TanHParameter9
|
threshold_param ( 2 .opencv_caffe.ThresholdParameter<
|
window_data_param ( 2!.opencv_caffe.WindowDataParameter>
|
transform_param$ ( 2%.opencv_caffe.TransformationParameter/
|
|
loss_param* ( 2.opencv_caffe.LossParameter-
|
layer ( 2 .opencv_caffe.V0LayerParameter"Ø
|
LayerType
|
NONE
|
|
ABSVAL#
|
ACCURACY
|
|
ARGMAX
|
BNLL
|
|
CONCAT
|
CONTRASTIVE_LOSS%
|
CONVOLUTION
|
DATA
|
DECONVOLUTION'
|
DROPOUT
|
|
DUMMY_DATA
|
EUCLIDEAN_LOSS
|
ELTWISE
|
EXP&
|
FLATTEN
|
HDF5_DATA
|
HDF5_OUTPUT
|
|
|
HINGE_LOSS
|
|
IM2COL
|
|
IMAGE_DATA
|
INFOGAIN_LOSS
|
INNER_PRODUCT
|
LRN
|
MEMORY_DATA
|
MULTINOMIAL_LOGISTIC_LOSS
|
MVN"
|
POOLING
|
POWER
|
RELU
|
SIGMOID
|
SIGMOID_CROSS_ENTROPY_LOSS
|
SILENCE$
|
SOFTMAX
|
SOFTMAX_LOSS
|
SPLIT
|
SLICE!
|
TANH
|
WINDOW_DATA
|
THRESHOLD "*
|
DimCheckMode
|
|
STRICT
|
|
PERMISSIVE"
|
V0LayerParameter
|
name (
|
type (
|
|
num_output (
|
biasterm (:true4
|
weight_filler ( 2 .opencv_caffe.FillerParameter2
|
bias_filler ( 2 .opencv_caffe.FillerParameter
|
pad ( :0
|
|
kernelsize (
|
group ( :1
|
stride
|
( :1<
|
pool (2).opencv_caffe.V0LayerParameter.PoolMethod:MAX
|
dropout_ratio (:0.5
|
|
local_size ( :5
|
alpha (:1
|
beta (:0.75
|
k (:1
|
source (
|
scale (:1
|
meanfile (
|
batchsize (
|
cropsize ( :0
|
mirror (:false&
|
blobs2 ( 2.opencv_caffe.BlobProto
|
blobs_lr3 (
|
weight_decay4 (
|
rand_skip5 ( :0
|
det_fg_threshold6 (:0.5
|
det_bg_threshold7 (:0.5
|
det_fg_fraction8 (:0.25
|
det_context_pad: ( :0
|
det_crop_mode; ( :warp
|
new_num< (:0
|
new_channels= (:0
|
|
new_height> (:0
|
new_width? (:0
|
shuffle_images@ (:false
|
|
concat_dimA ( :1=
|
hdf5_output_paramé ( 2!.opencv_caffe.HDF5OutputParameter".
|
|
PoolMethod
|
MAX
|
AVE
|
|
STOCHASTIC"^
|
PReLUParameter-
|
filler ( 2 .opencv_caffe.FillerParameter
|
channel_shared (:false"
|
NormalizedBBox
|
xmin (
|
ymin (
|
xmax (
|
ymax (
|
label (
|
difficult (
|
score (
|
size ("Y
|
ROIPoolingParameter
|
pooled_h ( :0
|
pooled_w ( :0
|
spatial_scale (:1"È
|
ProposalParameter
|
feat_stride ( :16
|
base_size ( :16
|
min_size ( :16
|
ratio (
|
scale (
|
pre_nms_topn ( :6000
|
post_nms_topn ( :300
|
|
nms_thresh (:0.7"V
|
PSROIPoolingParameter
|
spatial_scale (
|
|
output_dim (
|
|
group_size (*=
|
Type
|
|
DOUBLE
|
FLOAT
|
FLOAT16
|
INT
|
UINT*
|
Phase
|
TRAIN
|
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ÔÓÞ B IÔÓÞ ( ´ A CV
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ÔÓÞ A IÔÓÞ $ T AG
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ÞÓ C , < è A C\
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ÔÓÞ C $ l T AG
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ÔÓ×ÞÕÖ A 0 t È A BK
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ÔÓÕÞ A 0 ¨ à A BL
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FKÔÓÞÛÜÙÚ×ØÕÖ <- h P- d- ¤ x- Ð - H , - $ A Bx
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ÔÓÕÞ A ¼9 $ , À- ` E@EGÔÓÞ B@ : , AFÞ : , AHÞ 8: , AHÞ T: , AHÞ p: 0 AIÞ : 0 AIÞ ¨: 0 AIÞ Ä: 0 AIÞ à: 0 AIÞ ü: 0 AIÞ ; 0 AIÞ 4; 0 AIÞ P; 0 AIÞ l; 0 AIÞ ; 0 AIÞ ¤; 0 AIÞ À; 0 AIÞ Ü; 0 AIÞ ø; 0 AIÞ < 0 AIÞ 0< 0 AIÞ L< 0 AIÞ h< 0 AIÞ < 0 AIÞ < 0 AIÞ ¼< 0 AIÞ Ø< 0 AIÞ ô< 0 AIÞ $ 1 ¼ A@F^
|
ÔÓÞ A , 8= A CL
|
ÔÓÕÞ B SÔÓÕÞ h= A_Þ = 0 AFÞ , 1 p G@HFÔÓÞ B@ , À1 p G@HFÔÓÞ B@ , ð1 p G@HFÔÓÞ B@ , 2 p G@HFÔÓÞ B@ , P2 p G@HFÔÓÞ B@ , 2 p G@HFÔÓÞ B@ , °2 p G@HFÔÓÞ B@ , à2 p G@HFÔÓÞ B@ , 3 p G@HFÔÓÞ B@ , @3 p G@HFÔÓÞ B@ , p3 p G@HFÔÓÞ B@ , 3 p G@HFÔÓÞ B@ , Ð3 p G@HFÔÓÞ B@ , 4 p G@HFÔÓÞ B@ , 04 p G@HFÔÓÞ B@ , `4 p G@HFÔÓÞ B@ , 4 p G@HFÔÓÞ B@ , À4 p G@HFÔÓÞ B@ , ð4 p G@HFÔÓÞ B@ , 5 p G@HFÔÓÞ B@ , P5 p G@HFÔÓÞ B@ , 5 p G@HFÔÓÞ B@ , °5 p G@HFÔÓÞ B@ , à5 p G@HFÔÓÞ B@ , 6 p G@HFÔÓÞ B@ , @6 p G@HFÔÓÞ B@ , p6 p G@HFÔÓÞ B@ , 6 p G@HFÔÓÞ B@ , Ð6 p G@HFÔÓÞ B@ , 7 p G@HFÔÓÞ B@ , 07 p G@HFÔÓÞ B@ , `7 p G@HFÔÓÞ B@ , 7 p G@HFÔÓÞ B@ , À7 p G@HFÔÓÞ B@ , ð7 p G@HFÔÓÞ B@ , 8 p G@HFÔÓÞ B@ , P8 p G@HFÔÓÞ B@ , 8 p G@HFÔÓÞ B@ , °8 p G@HFÔÓÞ B@ , à8 p G@HFÔÓÞ B@ , 9 p G@HFÔÓÞ B@ , @9 p G@HFÔÓÞ B@ , p9 p G@HFÔÓÞ B@ , 9 p G@HFÔÓÞ B@ , Ð9 p G@HFÔÓÞ B@ , : p G@HFÔÓÞ B@ , 0: p G@HFÔÓÞ B@ , `: p G@HFÔÓÞ B@ , : p G@HFÔÓÞ B@ , À: p G@HFÔÓÞ B@ , ð: p G@HFÔÓÞ B@ , ; p G@HFÔÓÞ B@ , P; p G@HFÔÓÞ B@ , ; p G@HFÔÓÞ B@ , °; p G@HFÔÓÞ B@ , à; p G@HFÔÓÞ B@ , < p G@HFÔÓÞ B@ , @< p G@HFÔÓÞ B@ , p< p G@HFÔÓÞ B@ , < p G@HFÔÓÞ B@ , Ð< p G@HFÔÓÞ B@ , = p G@HFÔÓÞ B@ , 0= p G@HFÔÓÞ B@ , `= p G@HFÔÓÞ B@ , = p G@HFÔÓÞ B@ , À= p G@HFÔÓÞ B@ , ð= p G@HFÔÓÞ B@ , > p G@HFÔÓÞ B@ , P> p G@HFÔÓÞ B@ , > p G@HFÔÓÞ B@ , °> p G@HFÔÓÞ B@ , à> p G@HFÔÓÞ B@ , ? p G@HFÔÓÞ B@ , @? G@HHÔÓÞ D@ K , ? G@HHÔÓÞ D@ ÄK , È? G@HHÔÓÞ D@ L , @ G@HHÔÓÞ D@ LL , P@ G@HHÔÓÞ D@ L , @ G@HHÔÓÞ D@ ÔL , Ø@ G@HHÔÓÞ D@ M , A G@HHÔÓÞ D@ \M , `A G@HHÔÓÞ D@ M , ¤A G@HHÔÓÞ D@ äM , èA G@HHÔÓÞ D@ (N , ,B G@HHÔÓÞ D@ lN , pB G@HHÔÓÞ D@ °N , ´B G@HHÔÓÞ D@ ôN , øB G@HHÔÓÞ D@ 8O , <C G@HHÔÓÞ D@ |O , C G@HHÔÓÞ D@ ÀO , ÄC G@HHÔÓÞ D@ P , D G@HHÔÓÞ D@ HP , LD G@HHÔÓÞ D@ P , D G@HHÔÓÞ D@ ÐP , ÔD G@HHÔÓÞ D@ Q , E G@HHÔÓÞ D@ XQ , \E G@HHÔÓÞ D@ , E G@HHÔÓÞ D@ ÌQ , ÐE G@HHÔÓÞ D@ R , F G@HHÔÓÞ D@ TR hR |R R , F G@HHÔÓÞ D@ , ÄF G@HHÔÓÞ D@ S S , G G@HHÔÓÞ D@ , LG G@HHÔÓÞ D@ S S ´S , ¸G G@HHÔÓÞ D@ , èG G@HHÔÓÞ D@ (T <T PT , TH G@HHÔÓÞ D@ , H G@HHÔÓÞ D@ ÄT ØT ìT , , ðH G@HHÔÓÞ D@ , I G@HHÔÓÞ D@ `U tU $ U , I G@HHÔÓÞ D@ , ¼I G@HHÔÓÞ D@ üU V $ , J G@HHÔÓÞ D@ , DJ G@HHÔÓÞ D@ V V $ ¬V H AN
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ÞÓ A AÞÓ , ÄJ G@HHÔÓÞ D@ , ôJ G@HHÔÓÞ D@ 4W HW ( $ \W H AN
|
ÞÓ A AÞÓ , tK G@HHÔÓÞ D@ , ¤K G@HHÔÓÞ D@ äW øW , üK G@HHÔÓÞ D@ , ,L G@HHÔÓÞ D@ lX $ X , L G@HHÔÓÞ D@ , ´L G@HHÔÓÞ D@ ôX Y $ Y H AN
|
ÞÓ A AÞÓ , 4M G@HHÔÓÞ D@ , dM G@HHÔÓÞ D@ ¤Y ¸Y ÌY , ÐM G@HHÔÓÞ D@ , N G@HHÔÓÞ D@ @Z TZ hZ , lN G@HHÔÓÞ D@ , N G@HHÔÓÞ D@ ÜZ ðZ $ [ H AN
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ÞÓ A AÞÓ , O G@HHÔÓÞ D@ , LO G@HHÔÓÞ D@ [ pHIIH °[ 0 BIÞÓ , ÀO G@HHÔÓÞ D@ , ðO G@HHÔÓÞ D@ 0\ D\ ( $ X\ H AN
|
ÞÓ A AÞÓ , pP G@HHÔÓÞ D@ , P G@HHÔÓÞ D@ à\ ô\ ] , Q G@HHÔÓÞ D@ , <Q G@HHÔÓÞ D@ |] ] ¤] , ¨Q G@HHÔÓÞ D@ , ØQ G@HHÔÓÞ D@ ^ ,^ @^ , DR G@HHÔÓÞ D@ , tR G@HHÔÓÞ D@ ´^ È^ Ü^ , àR G@HHÔÓÞ D@ , S G@HHÔÓÞ D@ P_ d_ x_ , |S G@HHÔÓÞ D@ , ¬S G@HHÔÓÞ D@ ì_ ` ` , , T G@HHÔÓÞ D@ , HT G@HHÔÓÞ D@ ` ` °` , ´T G@HHÔÓÞ D@ , äT G@HHÔÓÞ D@ $a 8a ( $ La T EJ
|
ÞÓ C AÞÓ , dU G@HHÔÓÞ D@ , U G@HHÔÓÞ D@ Ôa èa üa , V G@HHÔÓÞ D@ , 0V G@HHÔÓÞ D@ pb b , , b A B\
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ÔÓÕÞ A BÔÓÕÞ , ¸V G@HHÔÓÞ D@ , èV G@HHÔÓÞ D@ (c <c Pc , TW G@HHÔÓÞ D@ , W G@HHÔÓÞ D@ Äc Øc , ìc , A CB
|
ÔÓÕÞ B BÔÓÕÞ , X G@HHÔÓÞ D@ , <X G@HHÔÓÞ D@ |d d ¤d , ¨X G@HHÔÓÞ D@ , ØX G@HHÔÓÞ D@ e ,e @e , DY G@HHÔÓÞ D@ , tY G@HHÔÓÞ D@ ´e Èe Üe , àY G@HHÔÓÞ D@ , Z G@HHÔÓÞ D@ Pf df xf , |Z G@HHÔÓÞ D@ , ¬Z G@HHÔÓÞ D@ ìf g $ g T EJ
|
ÞÓ C AÞÓ , ,[ G@HHÔÓÞ D@ , \[ G@HHÔÓÞ D@ g °g Äg , È[ G@HHÔÓÞ D@ , ø[ G@HHÔÓÞ D@ 8h Lh `h , d\ G@HHÔÓÞ D@ , \ G@HHÔÓÞ D@ Ôh èh $ üh H AN
|
ÞÓ A AÞÓ , ] G@HHÔÓÞ D@ , D] G@HHÔÓÞ D@ i i $ ¬i H AN
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ÞÓ A AÞÓ , Ä] G@HHÔÓÞ D@ , ô] G@HHÔÓÞ D@ 4j Hj \j , `^ G@HHÔÓÞ D@ , ^ G@HHÔÓÞ D@ Ðj äj 8 , øj Ä A Bi
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ÔÓÕÞ B BÔÓÕÞ , _ G@HHÔÓÞ D@ , H_ G@HHÔÓÞ D@ k k $ °k H AN
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ÞÓ A AÞÓ , È_ G@HHÔÓÞ D@ , ø_ G@HHÔÓÞ D@ 8l Ll $ $ `l T EJ
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ÞÓ C AÞÓ , x` G@HHÔÓÞ D@ , ¨` G@HHÔÓÞ D@ èl ül m , a G@HHÔÓÞ D@ , Da G@HHÔÓÞ D@ m m ¬m , °a G@HHÔÓÞ D@ , àa G@HHÔÓÞ D@ n 4n $ Hn , Lb G@HHÔÓÞ D@ , |b G@HHÔÓÞ D@ ¼n Ðn än , èb G@HHÔÓÞ D@ , c G@HHÔÓÞ D@ Xo lo o , c G@HHÔÓÞ D@ , ´c G@HHÔÓÞ D@ ôo p , d G@HHÔÓÞ D@ , <d G@HHÔÓÞ D@ |p p $ ¤p , ¨d G@HHÔÓÞ D@ , Ød G@HHÔÓÞ D@ q ,q @q , De G@HHÔÓÞ D@ , te G@HHÔÓÞ D@ ´q Èq , Üq Ä A Bi
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ÔÓÕÞ B BÔÓÕÞ , üe G@HHÔÓÞ D@ , ,f G@HHÔÓÞ D@ lr r $ r T EJ
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ÞÓ C AÞÓ , ¬f G@HHÔÓÞ D@ , Üf G@HHÔÓÞ D@ s 0s Ds , Hg G@HHÔÓÞ D@ , xg G@HHÔÓÞ D@ ¸s Ìs às , äg G@HHÔÓÞ D@ , h G@HHÔÓÞ D@ Tt ht , lh G@HHÔÓÞ D@ , h G@HHÔÓÞ D@ Üt ðt $ u T EJ
|
ÞÓ C AÞÓ , i G@HHÔÓÞ D@ , Li G@HHÔÓÞ D@ u u ´u , ¸i G@HHÔÓÞ D@ , èi G@HHÔÓÞ D@ (v <v Pv , Tj G@HHÔÓÞ D@ , j G@HHÔÓÞ D@ Äv Øv ìv , ðj G@HHÔÓÞ D@ , k G@HHÔÓÞ D@ `w tw w , k G@HHÔÓÞ D@ , ¼k G@HHÔÓÞ D@ üw x $x , (l G@HHÔÓÞ D@ , Xl G@HHÔÓÞ D@ x ¬x Àx , Äl G@HHÔÓÞ D@ , ôl G@HHÔÓÞ D@ 4y Hy 8 , \y ü A Cv
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ÔÓÕÞ B BÔÓÕÞ , |m G@HHÔÓÞ D@ , ¬m G@HHÔÓÞ D@ ìy z z , n G@HHÔÓÞ D@ , Hn G@HHÔÓÞ D@ z \ z 0 BIÞÓ , ¬n G@HHÔÓÞ D@ , Ün G@HHÔÓÞ D@ { $ 0{ | , 4o G@HHÔÓÞ D@ , do G@HHÔÓÞ D@ ¤{ ¸{ Ì{ , , Ðo G@HHÔÓÞ D@ , p G@HHÔÓÞ D@ @| T| h| , lp G@HHÔÓÞ D@ , p G@HHÔÓÞ D@ Ü| ð| } , q G@HHÔÓÞ D@ , 8q G@HHÔÓÞ D@ x} } ( } , ¤q G@HHÔÓÞ D@ , Ôq G@HHÔÓÞ D@ ~ (~ <~ , @r G@HHÔÓÞ D@ , pr G@HHÔÓÞ D@ °~ $ Ä~ À A_
|
ÓÞ B E
|
ÞÓ A ( Ür H ED
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ÞÓ A GÞÓ ( s A DR
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ÔÓÕÞ A D @ EJÞÓ $ Ts @ A BF
|
ÔÓÞ A L AK
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ÞÓ B $ s | A DT
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ÔÓÞ A Ô D AOÞÓ $ äs A DU
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ÔÓÞ A EZÞÓ $ ,t A DV
|
ÔÓÞ A 0 Tt AP
|
HBn
|
ÔÓ×ÞÕÖ A $ t @ A BF
|
ÔÓÞ A $ °t | A DT
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ÔÓÞ A $ Øt p A DQ
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ÔÓÞ A $ u @ A BF
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ÔÓÞ A 8 L ( AHÞÓ $ \u p A DQ
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ÔÓÞ A ¨ ( AHÞÓ $ ¸u p A DQ
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ÔÓÞ A $ àu @ A BF
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ÔÓÞ A , ( AHÞÓ $ <v l A DP
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ÔÓÞ A t ( AHÞÓ $ v p A DQ
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ÔÓÞ A Ð ä ( AHÞÓ $ ôv p A DQ
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ÔÓÞ A , D AOÞÓ $ <w p A DQ
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ÔÓÞ A t ( AHÞÓ $ w A DW
|
ÔÓÞ A Ð @ EJÞÓ $ àw @ A BF
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ÔÓÞ A $ x p A DQ
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ÔÓÞ A @ T ( AHÞÓ $ dx | A DT
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ÔÓÞ A $ x t A DR
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ÔÓÞ A Ä Ø ( AHÞÓ $ èx l A DP
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ÔÓÞ A
4
( AHÞÓ $ Dy t A DR
|
ÔÓÞ A |
X ATÞÓ
d AWÞÓ $ ¬y t A DR
|
ÔÓÞ A ä
ø
( AHÞÓ $ z p A DQ
|
ÔÓÞ A @ T ( AHÞÓ $ dz x A DS
|
ÔÓÞ A $ z @ A BF
|
ÔÓÞ A $ ´z p A DQ
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ÔÓÞ A $ Üz h A DO
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ÔÓÞ A ( ( AHÞÓ $ 8{ A DZ
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ÔÓÞ A p @ EJÞÓ $ { @ A BF
|
ÔÓÞ A $ ¨{ p A DQ
|
ÔÓÞ A $ Ð{ A DU
|
ÔÓÞ A d ESÞÓ $ | @ A BF
|
ÔÓÞ A P X ATÞÓ p d AWÞÓ $ | t A DR
|
ÔÓÞ A ¸ Ì ( AHÞÓ $ Ü| A DU
|
ÔÓÞ A @ EJÞÓ $ $} @ A BF
|
ÔÓÞ A \ p ( AHÞÓ $ } h A DO
|
ÔÓÞ A $ ¨} @ A BF
|
ÔÓÞ A à ô ( AHÞÓ $ ~ x A DS
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ÔÓÞ A < P ( AHÞÓ $ `~ h A DO
|
ÔÓÞ A $ ~ A DU
|
ÔÓÞ A À @ EJÞÓ $ Ð~ @ A BF
|
ÔÓÞ A ( AHÞÓ $ , p A DQ
|
ÔÓÞ A d x ( AHÞÓ $ x A DS
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ÔÓÞ A $ ° p A DQ
|
ÔÓÞ A è X ATÞÓ d AWÞÓ $ t A DR
|
ÔÓÞ A P d ( AHÞÓ $ t h A DO
|
ÔÓÞ A $ @ A BF
|
ÔÓÞ A Ô è ( AHÞÓ $ ø p A DQ
|
ÔÓÞ A $ t A DR
|
ÔÓÞ A X X ATÞÓ x d AWÞÓ $ h A DO
|
ÔÓÞ A À Ô ( AHÞÓ $ ä l A DP
|
ÔÓÞ A 0 ( AHÞÓ $ @ h A DO
|
ÔÓÞ A x ( AHÞÓ $ l A DP
|
ÔÓÞ A Ô è ( AHÞÓ $ ø h A DO
|
ÔÓÞ A 0 D ( AHÞÓ $ T A DZ
|
ÔÓÞ A 0 | AP
|
HBn
|
ÔÓ×ÞÕÖ A $ ° @ A BF
|
ÔÓÞ A $ Ø l A DP
|
ÔÓÞ A $ ( AHÞÓ $ 4 l A DP
|
ÔÓÞ A l D AOÞÓ $ | l A DP
|
ÔÓÞ A ´ È ( AHÞÓ $ Ø p A DQ
|
ÔÓÞ A $ ( AHÞÓ $ 4
l A DP
|
ÔÓÞ A l ( AHÞÓ 8
t AP
|
HBh
|
ÔÓÞÙÚ×ØÕÖ A Ü @ EJÞÓ $ ì
@ A BF
|
ÔÓÞ A $ ì A_
|
ÞÓ B D AEÞÓ ( T ¤ A DW
|
ÔÓÕÞ A @ EJÞÓ $ @ A BF
|
ÔÓÞ A ( È ° A DZ
|
ÔÓÕÞ A @ EJÞÓ $ @ A BF
|
ÔÓÞ A ( < A DU
|
ÔÓÕÞ A x @ EJÞÓ $ @ A BF
|
ÔÓÞ A À L AK
|
ÞÓ B , Ð Ü A0F]
|
ÔÓÞÕÖ A @ EJÞÓ $ @ A BF
|
ÔÓÞ A X t AO
|
ÞÓ B 0 h < A@Ha
|
ÔÓÞ×ØÕÖ A ¬ d ESÞÓ $ ¼ @ A BF
|
ÔÓÞ A ( ä A DR
|
ÔÓÕÞ A @ EJÞÓ $ 0 @ A BF
|
ÔÓÞ A h L AK
|
ÞÓ B 0 x , A@Hc
|
ÔÓÞ×ØÕÖ A ¼ d ESÞÓ $ Ì @ A BF
|
ÔÓÞ A ô Ad
|
ÞÓ A $ AEÞÓ ( 4 A DT
|
ÔÓÕÞ A p @ EJÞÓ $ @ A BF
|
ÔÓÞ A ¸ L AK
|
ÞÓ B ( È A DT
|
ÔÓÕÞ A @ EJÞÓ $ @ A BF
|
ÔÓÞ A L L AK
|
ÞÓ B l A DV
|
ÔÓÞ A ` A DRÔÓÞ ´ l A DTÔÓÞ Ø ` A DRÔÓÞ ü l A DTÔÓÞ A DV
|
ÔÓÞ A D A D_ÔÓÕÞ $ h 0 A DFÔÓÕÞ $ < A DIÔÓÕÞ ¸ ` A DRÔÓÞ Ü l A DTÔÓÞ ` A DRÔÓÞ $ l A DTÔÓÞ H È A DlÔÓÕÞ l Ô A DoÔÓÕÞ ` A DRÔÓÞ ´ l A DTÔÓÞ Ø È A DlÔÓÕÞ ü Ô A DoÔÓÕÞ A DzÔÓÕÞ D A D}ÔÓÕÞ h | G DRÔÓÞ | G DRÔÓÞ ° A DbÔÓÕÞ 0 Ô ü E Bj
|
ÔÓÞ C B
|
ÔÓÞ B DÔÓÞ $ AGÞÓ ( < A DHÔÓÞ L T AN
|
ÞÓ A l T AN
|
ÞÓ A T AN
|
ÞÓ A ¬ T AN
|
ÞÓ A Ì A DX
|
ÔÓÞ C ð A DX
|
ÔÓÞ C P ARÞÓ 4 P ARÞÓ T P ARÞÓ t T AN
|
ÞÓ A l HJÞÓ D( ¸ Ô A D_
|
ÔÓÞ B MÞÓÔ ( ä Ô A D_
|
ÔÓÞ B MÞÓÔ | AR
|
ÞÓ A , 0 ¤ EU
|
ÞÓ B A
|
ÞÓ A HÞÓ , ` ¤ EU
|
ÞÓ B A
|
ÞÓ A HÞÓ ( À A D]
|
ÔÓÞ B KÞÓÔ 0 ¼ è A Cf
|
ÔÓÞ B B
|
ÔÓÞ B IÔÓÞ ( ð À A D]
|
ÔÓÞ B KÞÓÔ 0 A Cu
|
ÔÓÞ C B
|
ÔÓÞ B BÔÓÞ P T A Dn
|
ÔÓÞ A t AEÞÓ T ENÞ $ A BT
|
ÔÓÞ A $ È A BU
|
ÔÓÞ A t EWÞÓ \ EQÞ < T EOÞ X T EOÞ t \ EPÞ \ EPÞ $ A BU
|
ÔÓÞ A $ Ä A BV
|
ÔÓÞ A $ ì A BW
|
ÔÓÞ A $ A BW
|
ÔÓÞ A $ < A BV
|
ÔÓÞ A $ d A BV
|
ÔÓÞ A | EYÞÓ ¼ P ENÞ Ø ` ERÞ ô T ENÞ ¡ P ENÞ ,¡ T EOÞ H¡ X EPÞ d¡ T EOÞ $ p A BX
|
ÔÓÞ A $ A BY
|
ÔÓÞ A $ À A BU
|
ÔÓÞ A ø¡ E\ÞÓ $ A BT
|
ÔÓÞ A $ 0 A BV
|
ÔÓÞ A $ X A BT
|
ÔÓÞ A $ A BT
|
ÔÓÞ A $ ¨ A BT
|
ÔÓÞ A ࢠd ESÞ ü¢ X EOÞ £ \ EPÞ 4£ T EOÞ P£ \ EQÞ l£ ` EQÞ £ \ EPÞ ¤£ X EOÞ À£ T EOÞ $ Ì A BY
|
ÔÓÞ A $ ô A BU
|
ÔÓÞ A $ A BU
|
ÔÓÞ A $ D A BV
|
ÔÓÞ A $ l A BV
|
ÔÓÞ A $ A BW
|
ÔÓÞ A $ ¼ A BX
|
ÔÓÞ A $ ä A BV
|
ÔÓÞ A $ A BW
|
ÔÓÞ A D¥ X EPÞ `¥ d ERÞ $ l A BV
|
ÔÓÞ A $ A BY
|
ÔÓÞ A Ì¥ T EOÞ è¥ T EOÞ ¦ X EOÞ $ A BV
|
ÔÓÞ A $ 8 A BU
|
ÔÓÞ A $ ` A BV
|
ÔÓÞ A $ A BW
|
ÔÓÞ A $ ° A BU
|
ÔÓÞ A $ Ø A BU
|
ÔÓÞ A $ A BV
|
ÔÓÞ A 8§ x EXÞÓ X§ | EYÞÓ x§ X EOÞ § EZÞÓ ´§ | EYÞÓ $ Ä A BV
|
ÔÓÞ A $ ì A BW
|
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_ZN12opencv_caffe19WindowDataParameter18kSourceFieldNumberE _ZN12opencv_caffe19WindowDataParameter19_default_crop_mode_B5cxx11E _ZN12opencv_caffe18ThresholdParameter21kThresholdFieldNumberE _ZN12opencv_caffe13TileParameter17kTilesFieldNumberE _ZN12opencv_caffe13TileParameter16kAxisFieldNumberE _ZN12opencv_caffe13TanHParameter18kEngineFieldNumberE _ZN12opencv_caffe16SoftmaxParameter16kAxisFieldNumberE _ZN12opencv_caffe16SoftmaxParameter18kEngineFieldNumberE _ZN12opencv_caffe14SliceParameter20kSliceDimFieldNumberE _ZN12opencv_caffe14SliceParameter22kSlicePointFieldNumberE _ZN12opencv_caffe14SliceParameter16kAxisFieldNumberE _ZN12opencv_caffe16SigmoidParameter18kEngineFieldNumberE _ZN12opencv_caffe14ScaleParameter22kBiasFillerFieldNumberE _ZN12opencv_caffe14ScaleParameter20kBiasTermFieldNumberE _ZN12opencv_caffe14ScaleParameter18kFillerFieldNumberE _ZN12opencv_caffe14ScaleParameter19kNumAxesFieldNumberE _ZN12opencv_caffe14ScaleParameter16kAxisFieldNumberE _ZN12opencv_caffe16ReshapeParameter19kNumAxesFieldNumberE _ZN12opencv_caffe16ReshapeParameter16kAxisFieldNumberE _ZN12opencv_caffe16ReshapeParameter17kShapeFieldNumberE _ZN12opencv_caffe13ReLUParameter18kEngineFieldNumberE _ZN12opencv_caffe13ReLUParameter25kNegativeSlopeFieldNumberE _ZN12opencv_caffe18ReductionParameter17kCoeffFieldNumberE _ZN12opencv_caffe18ReductionParameter16kAxisFieldNumberE _ZN12opencv_caffe18ReductionParameter21kOperationFieldNumberE _ZN12opencv_caffe18RecurrentParameter24kExposeHiddenFieldNumberE _ZN12opencv_caffe18RecurrentParameter21kDebugInfoFieldNumberE _ZN12opencv_caffe18RecurrentParameter22kBiasFillerFieldNumberE _ZN12opencv_caffe18RecurrentParameter24kWeightFillerFieldNumberE _ZN12opencv_caffe18RecurrentParameter21kNumOutputFieldNumberE _ZN12opencv_caffe15PythonParameter27kShareInParallelFieldNumberE _ZN12opencv_caffe15PythonParameter20kParamStrFieldNumberE _ZN12opencv_caffe15PythonParameter17kLayerFieldNumberE _ZN12opencv_caffe15PythonParameter18kModuleFieldNumberE _ZN12opencv_caffe14PowerParameter17kShiftFieldNumberE _ZN12opencv_caffe14PowerParameter17kScaleFieldNumberE _ZN12opencv_caffe14PowerParameter17kPowerFieldNumberE _ZN12opencv_caffe16PoolingParameter20kCeilModeFieldNumberE _ZN12opencv_caffe16PoolingParameter25kGlobalPoolingFieldNumberE _ZN12opencv_caffe16PoolingParameter18kEngineFieldNumberE _ZN12opencv_caffe16PoolingParameter19kStrideWFieldNumberE _ZN12opencv_caffe16PoolingParameter19kStrideHFieldNumberE _ZN12opencv_caffe16PoolingParameter18kStrideFieldNumberE _ZN12opencv_caffe16PoolingParameter19kKernelWFieldNumberE _ZN12opencv_caffe16PoolingParameter19kKernelHFieldNumberE _ZN12opencv_caffe16PoolingParameter22kKernelSizeFieldNumberE _ZN12opencv_caffe16PoolingParameter16kPadWFieldNumberE _ZN12opencv_caffe16PoolingParameter16kPadHFieldNumberE _ZN12opencv_caffe16PoolingParameter15kPadFieldNumberE _ZN12opencv_caffe16PoolingParameter16kPoolFieldNumberE _ZN12opencv_caffe18ParameterParameter17kShapeFieldNumberE _ZN12opencv_caffe12MVNParameter15kEpsFieldNumberE _ZN12opencv_caffe12MVNParameter26kAcrossChannelsFieldNumberE _ZN12opencv_caffe12MVNParameter29kNormalizeVarianceFieldNumberE _ZN12opencv_caffe19MemoryDataParameter17kWidthFieldNumberE _ZN12opencv_caffe19MemoryDataParameter18kHeightFieldNumberE _ZN12opencv_caffe19MemoryDataParameter20kChannelsFieldNumberE _ZN12opencv_caffe19MemoryDataParameter21kBatchSizeFieldNumberE _ZN12opencv_caffe12LRNParameter18kEngineFieldNumberE _ZN12opencv_caffe12LRNParameter13kKFieldNumberE _ZN12opencv_caffe12LRNParameter22kNormRegionFieldNumberE _ZN12opencv_caffe12LRNParameter16kBetaFieldNumberE _ZN12opencv_caffe12LRNParameter17kAlphaFieldNumberE _ZN12opencv_caffe12LRNParameter21kLocalSizeFieldNumberE _ZN12opencv_caffe12LogParameter17kShiftFieldNumberE _ZN12opencv_caffe12LogParameter17kScaleFieldNumberE _ZN12opencv_caffe12LogParameter16kBaseFieldNumberE _ZN12opencv_caffe14InputParameter17kShapeFieldNumberE _ZN12opencv_caffe21InnerProductParameter21kTransposeFieldNumberE _ZN12opencv_caffe21InnerProductParameter16kAxisFieldNumberE _ZN12opencv_caffe21InnerProductParameter22kBiasFillerFieldNumberE _ZN12opencv_caffe21InnerProductParameter24kWeightFillerFieldNumberE _ZN12opencv_caffe21InnerProductParameter20kBiasTermFieldNumberE _ZN12opencv_caffe21InnerProductParameter21kNumOutputFieldNumberE _ZN12opencv_caffe21InfogainLossParameter18kSourceFieldNumberE _ZN12opencv_caffe18ImageDataParameter22kRootFolderFieldNumberE _ZN12opencv_caffe18ImageDataParameter18kMirrorFieldNumberE _ZN12opencv_caffe18ImageDataParameter20kCropSizeFieldNumberE _ZN12opencv_caffe18ImageDataParameter20kMeanFileFieldNumberE _ZN12opencv_caffe18ImageDataParameter17kScaleFieldNumberE _ZN12opencv_caffe18ImageDataParameter19kIsColorFieldNumberE _ZN12opencv_caffe18ImageDataParameter20kNewWidthFieldNumberE _ZN12opencv_caffe18ImageDataParameter21kNewHeightFieldNumberE _ZN12opencv_caffe18ImageDataParameter19kShuffleFieldNumberE _ZN12opencv_caffe18ImageDataParameter20kRandSkipFieldNumberE _ZN12opencv_caffe18ImageDataParameter21kBatchSizeFieldNumberE _ZN12opencv_caffe18ImageDataParameter18kSourceFieldNumberE _ZN12opencv_caffe18HingeLossParameter16kNormFieldNumberE _ZN12opencv_caffe19HDF5OutputParameter20kFileNameFieldNumberE _ZN12opencv_caffe17HDF5DataParameter19kShuffleFieldNumberE _ZN12opencv_caffe17HDF5DataParameter21kBatchSizeFieldNumberE _ZN12opencv_caffe17HDF5DataParameter18kSourceFieldNumberE _ZN12opencv_caffe16FlattenParameter19kEndAxisFieldNumberE _ZN12opencv_caffe16FlattenParameter16kAxisFieldNumberE _ZN12opencv_caffe12ExpParameter17kShiftFieldNumberE _ZN12opencv_caffe12ExpParameter17kScaleFieldNumberE _ZN12opencv_caffe12ExpParameter16kBaseFieldNumberE _ZN12opencv_caffe14EmbedParameter22kBiasFillerFieldNumberE _ZN12opencv_caffe14EmbedParameter24kWeightFillerFieldNumberE _ZN12opencv_caffe14EmbedParameter20kBiasTermFieldNumberE _ZN12opencv_caffe14EmbedParameter20kInputDimFieldNumberE _ZN12opencv_caffe14EmbedParameter21kNumOutputFieldNumberE _ZN12opencv_caffe12ELUParameter17kAlphaFieldNumberE _ZN12opencv_caffe16EltwiseParameter26kStableProdGradFieldNumberE _ZN12opencv_caffe16EltwiseParameter17kCoeffFieldNumberE _ZN12opencv_caffe16EltwiseParameter21kOperationFieldNumberE _ZN12opencv_caffe18DummyDataParameter17kWidthFieldNumberE _ZN12opencv_caffe18DummyDataParameter18kHeightFieldNumberE _ZN12opencv_caffe18DummyDataParameter20kChannelsFieldNumberE _ZN12opencv_caffe18DummyDataParameter15kNumFieldNumberE _ZN12opencv_caffe18DummyDataParameter17kShapeFieldNumberE _ZN12opencv_caffe18DummyDataParameter22kDataFillerFieldNumberE _ZN12opencv_caffe16DropoutParameter22kScaleTrainFieldNumberE _ZN12opencv_caffe16DropoutParameter24kDropoutRatioFieldNumberE _ZN12opencv_caffe19SaveOutputParameter24kNumTestImageFieldNumberE _ZN12opencv_caffe19SaveOutputParameter24kNameSizeFileFieldNumberE _ZN12opencv_caffe19SaveOutputParameter24kLabelMapFileFieldNumberE _ZN12opencv_caffe19SaveOutputParameter24kOutputFormatFieldNumberE _ZN12opencv_caffe19SaveOutputParameter28kOutputNamePrefixFieldNumberE _ZN12opencv_caffe19SaveOutputParameter27kOutputDirectoryFieldNumberE _ZN12opencv_caffe30NonMaximumSuppressionParameter15kEtaFieldNumberE _ZN12opencv_caffe30NonMaximumSuppressionParameter16kTopKFieldNumberE _ZN12opencv_caffe30NonMaximumSuppressionParameter24kNmsThresholdFieldNumberE _ZN12opencv_caffe13DataParameter20kPrefetchFieldNumberE _ZN12opencv_caffe13DataParameter29kForceEncodedColorFieldNumberE _ZN12opencv_caffe13DataParameter18kMirrorFieldNumberE _ZN12opencv_caffe13DataParameter20kCropSizeFieldNumberE _ZN12opencv_caffe13DataParameter20kMeanFileFieldNumberE _ZN12opencv_caffe13DataParameter17kScaleFieldNumberE _ZN12opencv_caffe13DataParameter19kBackendFieldNumberE _ZN12opencv_caffe13DataParameter20kRandSkipFieldNumberE _ZN12opencv_caffe13DataParameter21kBatchSizeFieldNumberE _ZN12opencv_caffe13DataParameter18kSourceFieldNumberE _ZN12opencv_caffe13CropParameter18kOffsetFieldNumberE _ZN12opencv_caffe13CropParameter16kAxisFieldNumberE _ZN12opencv_caffe20ConvolutionParameter25kForceNdIm2ColFieldNumberE _ZN12opencv_caffe20ConvolutionParameter16kAxisFieldNumberE _ZN12opencv_caffe20ConvolutionParameter18kEngineFieldNumberE _ZN12opencv_caffe20ConvolutionParameter22kBiasFillerFieldNumberE _ZN12opencv_caffe20ConvolutionParameter24kWeightFillerFieldNumberE _ZN12opencv_caffe20ConvolutionParameter17kGroupFieldNumberE _ZN12opencv_caffe20ConvolutionParameter19kStrideWFieldNumberE _ZN12opencv_caffe20ConvolutionParameter19kStrideHFieldNumberE _ZN12opencv_caffe20ConvolutionParameter19kKernelWFieldNumberE _ZN12opencv_caffe20ConvolutionParameter19kKernelHFieldNumberE _ZN12opencv_caffe20ConvolutionParameter16kPadWFieldNumberE _ZN12opencv_caffe20ConvolutionParameter16kPadHFieldNumberE _ZN12opencv_caffe20ConvolutionParameter20kDilationFieldNumberE _ZN12opencv_caffe20ConvolutionParameter18kStrideFieldNumberE _ZN12opencv_caffe20ConvolutionParameter22kKernelSizeFieldNumberE _ZN12opencv_caffe20ConvolutionParameter15kPadFieldNumberE _ZN12opencv_caffe20ConvolutionParameter20kBiasTermFieldNumberE _ZN12opencv_caffe20ConvolutionParameter21kNumOutputFieldNumberE _ZN12opencv_caffe24ContrastiveLossParameter25kLegacyVersionFieldNumberE _ZN12opencv_caffe24ContrastiveLossParameter18kMarginFieldNumberE _ZN12opencv_caffe13BiasParameter18kFillerFieldNumberE _ZN12opencv_caffe13BiasParameter19kNumAxesFieldNumberE _ZN12opencv_caffe13BiasParameter16kAxisFieldNumberE _ZN12opencv_caffe18BatchNormParameter21kScaleBiasFieldNumberE _ZN12opencv_caffe18BatchNormParameter15kEpsFieldNumberE _ZN12opencv_caffe18BatchNormParameter33kMovingAverageFractionFieldNumberE _ZN12opencv_caffe18BatchNormParameter26kUseGlobalStatsFieldNumberE _ZN12opencv_caffe15ConcatParameter21kConcatDimFieldNumberE _ZN12opencv_caffe15ConcatParameter16kAxisFieldNumberE _ZN12opencv_caffe15ArgMaxParameter16kAxisFieldNumberE _ZN12opencv_caffe15ArgMaxParameter16kTopKFieldNumberE _ZN12opencv_caffe15ArgMaxParameter21kOutMaxValFieldNumberE _ZN12opencv_caffe17AccuracyParameter23kIgnoreLabelFieldNumberE _ZN12opencv_caffe17AccuracyParameter16kAxisFieldNumberE _ZN12opencv_caffe17AccuracyParameter16kTopKFieldNumberE _ZN12opencv_caffe13LossParameter21kNormalizeFieldNumberE _ZN12opencv_caffe13LossParameter25kNormalizationFieldNumberE _ZN12opencv_caffe13LossParameter23kIgnoreLabelFieldNumberE _ZN12opencv_caffe23TransformationParameter21kForceGrayFieldNumberE _ZN12opencv_caffe23TransformationParameter22kForceColorFieldNumberE _ZN12opencv_caffe23TransformationParameter21kMeanValueFieldNumberE _ZN12opencv_caffe23TransformationParameter20kMeanFileFieldNumberE _ZN12opencv_caffe23TransformationParameter20kCropSizeFieldNumberE _ZN12opencv_caffe23TransformationParameter18kMirrorFieldNumberE _ZN12opencv_caffe23TransformationParameter17kScaleFieldNumberE _ZN12opencv_caffe14LayerParameter27kWindowDataParamFieldNumberE _ZN12opencv_caffe14LayerParameter21kTileParamFieldNumberE _ZN12opencv_caffe14LayerParameter26kThresholdParamFieldNumberE _ZN12opencv_caffe14LayerParameter21kTanhParamFieldNumberE _ZN12opencv_caffe14LayerParameter22kSliceParamFieldNumberE _ZN12opencv_caffe14LayerParameter20kSppParamFieldNumberE _ZN12opencv_caffe14LayerParameter24kSoftmaxParamFieldNumberE _ZN12opencv_caffe14LayerParameter24kSigmoidParamFieldNumberE _ZN12opencv_caffe14LayerParameter22kScaleParamFieldNumberE _ZN12opencv_caffe14LayerParameter27kRoiPoolingParamFieldNumberE _ZN12opencv_caffe14LayerParameter24kReshapeParamFieldNumberE _ZN12opencv_caffe14LayerParameter21kReluParamFieldNumberE _ZN12opencv_caffe14LayerParameter26kReductionParamFieldNumberE _ZN12opencv_caffe14LayerParameter26kRecurrentParamFieldNumberE _ZN12opencv_caffe14LayerParameter23kPythonParamFieldNumberE _ZN12opencv_caffe14LayerParameter29kPsroiPoolingParamFieldNumberE _ZN12opencv_caffe14LayerParameter25kProposalParamFieldNumberE _ZN12opencv_caffe14LayerParameter25kPriorBoxParamFieldNumberE _ZN12opencv_caffe14LayerParameter22kPreluParamFieldNumberE _ZN12opencv_caffe14LayerParameter22kPowerParamFieldNumberE _ZN12opencv_caffe14LayerParameter24kPoolingParamFieldNumberE _ZN12opencv_caffe14LayerParameter26kParameterParamFieldNumberE _ZN12opencv_caffe14LayerParameter24kPermuteParamFieldNumberE _ZN12opencv_caffe14LayerParameter21kNormParamFieldNumberE _ZN12opencv_caffe14LayerParameter20kMvnParamFieldNumberE _ZN12opencv_caffe14LayerParameter27kMemoryDataParamFieldNumberE _ZN12opencv_caffe14LayerParameter20kLrnParamFieldNumberE _ZN12opencv_caffe14LayerParameter20kLogParamFieldNumberE _ZN12opencv_caffe14LayerParameter22kInputParamFieldNumberE _ZN12opencv_caffe14LayerParameter29kInnerProductParamFieldNumberE _ZN12opencv_caffe14LayerParameter29kInfogainLossParamFieldNumberE _ZN12opencv_caffe14LayerParameter26kImageDataParamFieldNumberE _ZN12opencv_caffe14LayerParameter26kHingeLossParamFieldNumberE _ZN12opencv_caffe14LayerParameter27kHdf5OutputParamFieldNumberE _ZN12opencv_caffe14LayerParameter25kHdf5DataParamFieldNumberE _ZN12opencv_caffe14LayerParameter24kFlattenParamFieldNumberE _ZN12opencv_caffe14LayerParameter20kExpParamFieldNumberE _ZN12opencv_caffe14LayerParameter22kEmbedParamFieldNumberE _ZN12opencv_caffe14LayerParameter20kEluParamFieldNumberE _ZN12opencv_caffe14LayerParameter24kEltwiseParamFieldNumberE _ZN12opencv_caffe14LayerParameter26kDummyDataParamFieldNumberE _ZN12opencv_caffe14LayerParameter24kDropoutParamFieldNumberE _ZN12opencv_caffe14LayerParameter32kDetectionOutputParamFieldNumberE _ZN12opencv_caffe14LayerParameter21kDataParamFieldNumberE _ZN12opencv_caffe14LayerParameter21kCropParamFieldNumberE _ZN12opencv_caffe14LayerParameter28kConvolutionParamFieldNumberE _ZN12opencv_caffe14LayerParameter32kContrastiveLossParamFieldNumberE _ZN12opencv_caffe14LayerParameter23kConcatParamFieldNumberE 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, ² 0 2 4 ² 8 2 < R \ " d }# }# " }# }# " $ â # # , ³ 0 5 4 ³ 8 5 < R ` " h # # " # # " $ â # # Ï Ï , ´ 0 ¡ 4 ´ 8 ¡ < R \ " d # # " # # " $ â # # Ù Ù , µ 0 ³ 4 µ 8 ³ < R @ ] D ] H 7 ç X 8 ç " ] $ ] 0 " 8 ¡" D ] L 0 P T 0 X d l ] x ] ´ ¸ ] ¼ Ù À ±" Ä Ù Ì # Ô ¢" ú þ # 4 â < # # y y , ¶ 0 4 ¶ 8 < R ` " h # # " # # " $ â # # , ¹ 0 D 4 ¹ 8 D < R ` " h # # @ " # # , º 0 A 4 º 8 A < R ` " h # # " # # " $ â ¤# ¤# Õ Õ , » 0 4 » 8 < R d " l ¤# ¤# " ¤# ¤# " $ â ª# ª# á á , ½ 0 ¿ 4 ½ 8 ¿ < R ` " h ª# ª# " ª# ª# " $ â °# °# D ½ L ½ | | R è ¤ ¤ ¤ 0 ¤ H ¤ ` ¤ h " p ½ " $ ½ ( ¡" 0 ±# < ¢" þ ±# 4 â < °# °# " â ¤ ¤ ´ ¤ Ä ¤ Ô ¤ ä ¤ ´# â ·# ·# _ $ _ < ~ @ ù D ~ H ù L R P 7 ç \ 8 ç ¤ " _ " $ _ ( ¡" 0 ¸# < ¢" þ ¸# 4 â < »# »# å $ å < @ Å D H Å L R P 7 ç \ 8 ç ¤ ¤ " ¬ å " $ å ( ¡" 0 ¼# < ¢" þ ¼# 4 â < ¿# ¿# § $ § < @ e D H e L R ¤ " § " $ § ( ¡" 0 À# < ¢" þ À# 4 â < ¿# ¿# 0 " D â Å# Å# , ¿ 0 ¿ L ¼ P T ¼ X \ R ° ¤ È ¤ Ð " Ø ¿ " $ ¿ ( ¡" 0 Æ# < ¢" þ Æ# 4 â < Å# Å# @ " T â l â Ë# Ë# 8 c < c h x l ÿ p x t ÿ x R | 7 ç 8 ç Ô â ø â ¤ ( ¤ 0 " 8 c " $ c ( ¡" , w 0 w 4 8 < R D Ì# L ¢" P e T e þ Ì# 4 â < Ï# Ï# « $ « < z @ k D z H k L R | § " « " $ « ( ¡" 0 Ð# < ¢" þ Ð# 4 â < Ï# Ï# 0 " D â Õ# Õ# 8 Û < Û h l ¶ p t ¶ x R Ð § è § § § " ( Û " $ Û ( ¡" , 0 4 Y 8 Y < R D Ö# L ¢" P T þ Ö# 4 â < Õ# Õ# Û Û " ¤ â ¼ â Ô â ì â Ù# â Ü# Ü# } $ } < @ & D H & L R § " } " $ } ( ¡" 0 Ý# < ¢" þ Ý# 4 â < Ü# Ü# 0 " D â â# â# $ < ° @ M D ° H M L R § " " $ ( ¡" 0 ã# < ¢" þ ã# 4 â < â# â# 0 " D â 7 ç ·# ·# 8 ç @ L â l " | â ¯" ¯" U U @ L â \ " ¯" ¯" U U @ L â T " h â 7 ç ´" ´" 8 ç @ L â \ " 7 ç ´" ´" 8 ç @ L â T " h â 7 ç »# »# 8 ç @ L â l " | â 7 ç â" â" 8 ç @ L â T 8 ç t â " 7 ç ì" ì" 8 ç @ L â T 8 ç t â 8 ç ¨ ´ â ¼ 8 ç Ü è â ð 8 ç â , " 7 ç ì" ì" 8 ç @ L â T 8 ç t â 8 ç ¨ ´ â ¼ 8 ç Ü è â ð 8 ç â $ " 8 â 7 ç # # 8 ç @ L â \ " 7 ç # # 8 ç @ L â T " h â 7 ç # # 8 ç @ L â \ " 7 ç # # 8 ç @ L â T " h â 7 ç # # 8 ç @ L â T 8 ç t â 8 ç ¨ ´ â Ä " 7 ç # # 8 ç @ L â T 8 ç t â 8 ç ¨ ´ â ¼ " Ð â 7 ç # # 8 ç @ L â \ " 7 ç # # 8 ç @ L â T " h â 7 ç R# R# 8 ç @ L â T 8 ç t â 8 ç ¨ ´ â Ä " 7 ç R# R# 8 ç @ L â T 8 ç t â 8 ç ¨ ´ â ¼ " Ð â 7 ç # # 8 ç @ L â T 8 ç t â ] ] ¬ ¸ â À 8 ç à ì â ü " 7 ç # # 8 ç @ L â T 8 ç t â ] ] ¬ ¸ â À 8 ç à ì â ô " â ì# ì# 7 ç $ ´" , ´" 0 8 ç X d â t " é# é# ¯" $ ¯" 0 U 8 U X d â t " 7 ç â" â" 8 ç @ L â T 8 ç t â " â é é ( ê" , ê" @ æ" D æ" L " X â h õ# l õ# ì" ì" · · · ¤ · ¬ · ´ " È â ¬" ¬" $ " ¬" ¬" $ $ " 8 â Ü# Ü# , " < â L â Ï# Ï# , " < â L â â# â# , " < â L â ¿# ¿# , " < â L â 7 ç ·# ·# 8 ç @ L â d " x â â 7 ç »# »# 8 ç @ L â d " x â â §" §" ã ã < " L â ×" ×" { { < " L â # # < " L â " " , " < â L â ¤" ¤" $ " ( " H " d â B# B# É É 4 $ 8 $ L " P " l " x â " â ¤ â ¼ " Ð â h# h# ¯ ¯ 4 $ 8 $ L " P " l " x â " â ¤ â ¼ " Ð â Å# Å# < " L â \ â t â É É $ $ $ 8 " < " X " h â â ¯ ¯ $ $ $ 8 " < " X " h â â h# h# ¯ ¯ 4 $ 8 $ L " P " l " x â " â ¼ " 7 ç 8 ç 4 @ â D c H c ` $ d $ x " | " " ¬ â Ì â B# B# É É 4 $ 8 $ L " P " l " x â " â ¼ " · · · ( · 0 [ 4 [ T ` â d µ h µ ¨ û# ¬ û# À # Ä # Ì · Ô " è â Ë# Ë# · c c 8 $ < $ P " T " p " | â Ì " Ü â â â 4 â L â &$ â " ¡" $ k ( k 0 õ" 8 õ" L k P ¢" þ B# B# É É 4 ¦ 8 < ¦ @ D R h " t â | þ õ" õ" k k 4 8 < @ D R l " x â " ¡" $ w ( , w 0 4 R 8 É < B# @ É D B# L É \ ¢" ` e d e " ¡" $ ë , ë 4 æ" < æ" @ ë X ¢" " ¡" $ ( 0 # 8 # H P ¢" " ¡" $ © ( © 4 # 8 # H © P ¢" " ¡" $ Í ( Í 4 [# @ [# T Í X ¢" " ¡" $ q ( q 4 (# @ (# T q X ¢" þ # # 4 ³ 8 5 < ³ @ 5 D R l " x â þ æ" æ" ë ë 4 8 Î < @ Î D R p " | â þ (# (# q q 4 ¢ 8 < ¢ @ D R t " â þ [# [# Í Í 4 « 8 < « @ D R t " â þ # # © © 4 8 h < @ h D R p " | â þ ×" ×" { { 4 8 # < @ # D R p " | â " ¡" $ ( Y , 0 Y 4 R < { @ ×" D { H ×" P { d ¢" h l " ¡" $ ( , # 0 # 4 L ¢" " ¡" $ ¡ ( 7 ç , ¡ 0 R# 4 8 ç 8 R# @ ¡ \ ¢" " ¡" $ Å ( Å 0 # 8 # L Å P ¢" " ¡" $ Ï ( Ï , # 4 # 8 Ï L ¢" " ¡" $ ± , ± 0 q# 8 q# < ± P ¢" " ¡" $ Ý ( 7 ç , Ý 0 # 4 8 ç 8 # @ Ý T ¢" " ¡" $
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opencv-onnx.proto opencv_onnx"
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AttributeProto
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name (
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GRAPHS
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ValueInfoProto
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name ( $
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ModelProto
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StringStringEntryProto
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Version
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_START_VERSION
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IR_VERSION_2017_10_10
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IR_VERSION_2017_10_30
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ÿÿÿÿ ÿÿÿÿÿÿÿÿÿÿÿÿ ( @ X p ÿÿÿÿ ÿÿÿÿ ÿÿÿÿ ( 0 4 8 @ H P X ` ( ÿÿÿÿÿÿÿÿÿÿÿÿ ÿÿÿÿ ÿÿÿÿÿÿÿÿÿÿÿÿX attr_value.proto /home/yhc/workspace/opencv/opencv-src/modules/dnn/misc/tensorflow/attr_value.pb.cc ÿÿÿÿÀ ÿÿÿÿ # 0 % ÿÿÿÿh opencv_tensorflow.NameAttrList.name opencv_tensorflow.NameAttrList.AttrEntry.key opencv_tensorflow.AttrValue.placeholder /home/yhc/workspace/opencv/opencv-src/3rdparty/protobuf/src/google/protobuf/map_field.h Protocol Buffer map usage error:
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MapKey::type MapKey is not initialized. Call set methods to initialize MapKey. MapKey::GetStringValue type does not match
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P Y À .symtab .strtab .shstrtab .text .data .bss .rela.text.unlikely._ZNSt6vectorIN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_113CaffeImporter8BlobNoteESaIS5_EED2Ev .rela.text._ZN2cvltERKNS_6StringES2_ .rela.text._ZN6google8protobuf8internal16FunctionClosure1IPKNS0_15FieldDescriptorEED2Ev .rela.text._ZN6google8protobuf8internal16FunctionClosure1IPKNS0_15FieldDescriptorEED0Ev .rela.text._ZN2cvL13errorNoReturnEiRKNS_6StringEPKcS4_i .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv.part.83 .rela.text._ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag.isra.170 .rela.text._ZN6google8protobuf8internal16FunctionClosure1IPKNS0_15FieldDescriptorEE3RunEv .rela.text._ZNSt6vectorIN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_113CaffeImporter8BlobNoteESaIS5_EE12emplace_backIJS5_EEEvDpOT_ .rela.text._ZNK2cv3dnn23experimental_dnn_34_v119DictValue4sizeEv.isra.57 .gcc_except_table._ZNK2cv3dnn23experimental_dnn_34_v119DictValue4sizeEv.isra.57 .rela.text._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_1L8toStringIiEENS_6StringERKT_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_1L8toStringIiEENS_6StringERKT_ .rela.text._ZN2cv6StringC2EPKc .rela.text._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_113CaffeImporter9addOutputERKN12opencv_caffe14LayerParameterEii .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_113CaffeImporter9addOutputERKN12opencv_caffe14LayerParameterEii .rela.text._ZN2cv3MatD2Ev .gcc_except_table._ZN2cv3MatD2Ev .rela.text._ZN2cv6StringC2ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValueaSERKS2_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValueaSERKS2_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValueC2ERKS2_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValueC2ERKS2_ .rela.text._ZNSt6vectorIN2cv6StringESaIS1_EED2Ev .gcc_except_table._ZNSt6vectorIN2cv6StringESaIS1_EED2Ev .rela.text._ZNSt4pairIN2cv6StringENS0_3dnn23experimental_dnn_34_v119DictValueEEC2IS4_Lb1EEERKS1_OT_ .gcc_except_table._ZNSt4pairIN2cv6StringENS0_3dnn23experimental_dnn_34_v119DictValueEEC2IS4_Lb1EEERKS1_OT_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValue11arrayStringIN6google8protobuf8internal19RepeatedPtrIteratorIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEEEES2_T_i .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValue11arrayStringIN6google8protobuf8internal19RepeatedPtrIteratorIKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEEEES2_T_i .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValue11arrayStringIN9__gnu_cxx17__normal_iteratorIPNS_6StringESt6vectorIS6_SaIS6_EEEEEES2_T_i .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValue11arrayStringIN9__gnu_cxx17__normal_iteratorIPNS_6StringESt6vectorIS6_SaIS6_EEEEEES2_T_i .rela.text._ZStplIcSt11char_traitsIcESaIcEENSt7__cxx1112basic_stringIT_T0_T1_EEPKS5_RKS8_ .gcc_except_table._ZStplIcSt11char_traitsIcESaIcEENSt7__cxx1112basic_stringIT_T0_T1_EEPKS5_RKS8_ .rela.text._ZStplIcSt11char_traitsIcESaIcEENSt7__cxx1112basic_stringIT_T0_T1_EEOS8_PKS5_ .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE4findERS3_ .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE8_M_eraseEPSt13_Rb_tree_nodeIS4_E .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE8_M_eraseEPSt13_Rb_tree_nodeIS4_E .rela.text._ZNSt6vectorIN2cv3MatESaIS1_EE17_M_default_appendEm .gcc_except_table._ZNSt6vectorIN2cv3MatESaIS1_EE17_M_default_appendEm .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E .rela.text._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v114Dict3setINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEERKT_RKNS_6StringESC_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v114Dict3setINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEERKT_RKNS_6StringESC_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v114Dict3setIiEERKT_RKNS_6StringES6_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v114Dict3setIiEERKT_RKNS_6StringES6_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v114Dict3setIjEERKT_RKNS_6StringES6_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v114Dict3setIjEERKT_RKNS_6StringES6_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v114Dict3setINS1_9DictValueEEERKT_RKNS_6StringES7_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v114Dict3setINS1_9DictValueEEERKT_RKNS_6StringES7_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v114Dict3setIfEERKT_RKNS_6StringES6_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v114Dict3setIfEERKT_RKNS_6StringES6_ 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¸ ð ¸ ü ø NSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE FAILED: . net_param != NULL Input NetParameter to be upgraded already specifies 'layer' fields; these will be ignored for the upgrade. Upgrade of input layer failed. BatchNorm Attempting to upgrade input file specified using deprecated V0LayerParameter: Warning: had one or more problems upgrading V0NetParameter to NetParameter (see above); continuing anyway. INFO Successfully upgraded file specified using deprecated V0LayerParameter Note that future Caffe releases will not support V0NetParameter; use ./build/tools/upgrade_net_proto_text for prototxt and ./build/tools/upgrade_net_proto_binary for model weights upgrade this and any other net protos to the new format. transformation parameters: data transformation parameters. Note that future Caffe releases will only support transform_param messages for transformation fields. V1LayerParameter: V1LayerParameter (see above); continuing anyway. V1LayerParameter Attempting to upgrade batch norm layers using deprecated params: Successfully upgraded batch norm layers using deprecated params. accuracy bnll concat conv data dropout euclidean_loss flatten hdf5_data hdf5_output im2col images infogain_loss innerproduct lrn multinomial_logistic_loss pool relu sigmoid softmax softmax_loss split tanh window_data /home/yhc/workspace/opencv/opencv-src/modules/dnn/src/caffe/caffe_io.cpp FATAL Unknown layer name: AbsVal Accuracy ArgMax BNLL Concat ContrastiveLoss Convolution Deconvolution Data Dropout DummyData EuclideanLoss Eltwise Exp Flatten HDF5Data HDF5Output HingeLoss Im2col ImageData InfogainLoss InnerProduct LRN MemoryData MultinomialLogisticLoss MVN Pooling Power ReLU Sigmoid SigmoidCrossEntropyLoss Silence Softmax SoftmaxWithLoss Split Slice TanH WindowData Threshold Unknown V1LayerParameter layer type: fs.is_open() Can't open " " padding Unknown blob input to layer CHECK (layer_param.type() == "conv") || (layer_param.type() == "pool") Padding layer input to non-convolutional / non-pooling layer type layer_connection.bottom_size()=1 Conv Layer takes a single blob as input. source_layer.bottom_size()=1 Padding Layer takes a single blob as input. source_layer.top_size()=1 Padding Layer produces a single blob as output. v0_layer_connection_ != NULL ERROR Unknown parameter num_output for layer type Unknown parameter biasterm for layer type Unknown parameter weight_filler for layer type Unknown parameter bias_filler for layer type Unknown parameter pad for layer type Unknown parameter kernelsize for layer type Unknown parameter group for layer type Unknown parameter stride for layer type Unknown pool method Unknown parameter pool for layer type Unknown parameter dropout_ratio for layer type Unknown parameter local_size for layer type Unknown parameter alpha for layer type Unknown parameter beta for layer type Unknown parameter k for layer type Unknown parameter source for layer type Unknown parameter batchsize for layer type Unknown parameter rand_skip for layer type Unknown parameter shuffle for layer type Unknown parameter new_height for layer type Unknown parameter new_width for layer type Unknown parameter concat_dim for layer type Unknown parameter det_fg_threshold for layer type Unknown parameter det_bg_threshold for layer type Unknown parameter det_fg_fraction for layer type Unknown parameter det_context_pad for layer type Unknown parameter det_crop_mode for layer type Unknown parameter hdf5_output_param for layer type v1_layer_param_ != NULL Unknown blob_share_mode: Unknown blob_share_mode: %d Input NetParameter has V0 layer -- ignoring. ReadProtoFromTextFile(param_file, param) Failed to parse NetParameter file: ReadProtoFromBinaryFile(param_file, param) ReadProtoFromTextBuffer(data, len, param) Failed to parse NetParameter buffer memory buffer ReadProtoFromBinaryBuffer(data, len, param) basic_string::_M_construct null not valid UpgradeV1Net UpgradeNetAsNeeded UpgradeV0LayerType UpgradeV1LayerType ReadProtoFromTextFile UpgradeV0PaddingLayers ReadProtoFromBinaryFile UpgradeV0LayerParameter UpgradeV1LayerParameter ReadNetParamsFromTextFileOrDie ReadNetParamsFromBinaryFileOrDie ReadNetParamsFromTextBufferOrDie ReadNetParamsFromBinaryBufferOrDie GCC: (Linaro GCC 6.3-2017.05) 6.3.1 20170404 zR x , @ T h | 4 Ä A0CR
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.rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E .rela.text._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev .rela.text._ZN2cv3dnn7darknet14LayerParameterD2Ev .gcc_except_table._ZN2cv3dnn7darknet14LayerParameterD2Ev .rela.text._ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_S5_ESt10_Select1stIS8_ESt4lessIS5_ESaIS8_EE8_M_eraseEPSt13_Rb_tree_nodeIS8_E .rela.text._ZNSt8_Rb_treeIiSt4pairIKiSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES8_St4lessIS8_ESaIS0_IKS8_S8_EEEESt10_Select1stISF_ES9_IiESaISF_EE8_M_eraseEPSt13_Rb_tree_nodeISF_E .rela.text._ZN2cv3dnn7darknet12NetParameterD2Ev .gcc_except_table._ZN2cv3dnn7darknet12NetParameterD2Ev .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE8_M_eraseEPSt13_Rb_tree_nodeIS4_E .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE8_M_eraseEPSt13_Rb_tree_nodeIS4_E .rela.text.unlikely._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_115DarknetImporterD2Ev .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_115DarknetImporterD2Ev .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE7_M_copyINSD_11_Alloc_nodeEEEPSt13_Rb_tree_nodeIS7_EPKSH_PSt18_Rb_tree_node_baseRT_ .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE7_M_copyINSD_11_Alloc_nodeEEEPSt13_Rb_tree_nodeIS7_EPKSH_PSt18_Rb_tree_node_baseRT_ .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE24_M_get_insert_unique_posERS3_ .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS4_ERS3_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_115DarknetImporter11populateNetENS1_3NetE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_115DarknetImporter11populateNetENS1_3NetE .rela.text._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_1L18readNetFromDarknetERSiS3_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_1L18readNetFromDarknetERSiS3_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_1L18readNetFromDarknetERSi .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_1L18readNetFromDarknetERSi .rela.text._ZN2cv3dnn23experimental_dnn_34_v1118readNetFromDarknetERKNS_6StringES4_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1118readNetFromDarknetERKNS_6StringES4_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v1118readNetFromDarknetEPKcmS3_m .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1118readNetFromDarknetEPKcmS3_m .rela.text._ZN2cv3dnn23experimental_dnn_34_v1118readNetFromDarknetERKSt6vectorIhSaIhEES6_ .rela.text.startup._GLOBAL__sub_I_darknet_importer.cpp .rela.init_array .rodata._ZTSN2cv3dnn23experimental_dnn_34_v1112BufferStreamE .rela.data.rel.ro._ZTIN2cv3dnn23experimental_dnn_34_v1112BufferStreamE .rela.data.rel.ro._ZTVN2cv3dnn23experimental_dnn_34_v1112BufferStreamE .bss._ZStL8__ioinit .bss._ZZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_115DarknetImporter11populateNetENS1_3NetEE30__cv_trace_location_extra_fn99 .bss._ZZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_115DarknetImporterC4ERSiE30__cv_trace_location_extra_fn80 .bss._ZZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_115DarknetImporterC4ERSiS4_E30__cv_trace_location_extra_fn72 .rela.data.rel.ro.local._ZZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_115DarknetImporter11populateNetENS1_3NetEE24__cv_trace_location_fn99 .rela.data.rel.ro.local._ZZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_115DarknetImporterC4ERSiE24__cv_trace_location_fn80 .rela.data.rel.ro.local._ZZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_115DarknetImporterC4ERSiS4_E24__cv_trace_location_fn72 .rodata._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_115DarknetImporter11populateNetENS1_3NetE.str1.8 .rodata._ZN2cv3dnn23experimental_dnn_34_v1118readNetFromDarknetERKNS_6StringES4_.str1.8 .rodata._ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag.isra.142.str1.8 .rodata._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE24_M_get_insert_unique_posERS3_.str1.8 .rodata._ZZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_115DarknetImporter11populateNetENS1_3NetEE19__PRETTY_FUNCTION__ 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¡ \ ¤ e ¦ § ¡ © Ì ª Õ ¬ ¯ < ° E ² x ´ ¶ ¼ · Å ¹ ð º ù ¼ , À 5 Â h Ä q Æ Ç © É Ø Ê ü Ì P Î Ð Ø Ò Õ d × m Ù ° Ü ¹ Þ Ø ß á á , ã 5 å ç é ´ ê .symtab .strtab .shstrtab .text .data .bss .text._ZNKSt5ctypeIcE8do_widenEc .rela.text._ZN2cvL13errorNoReturnEiRKNS_6StringEPKcS4_i .rela.text._ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag.isra.164 .rela.text._ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEC2EPKcRKS3_.isra.151 .rela.text._ZN2cv6StringC2EPKc .rela.text._ZN2cv6StringaSEPKc .rela.text._ZN2cv3MatC2ERKS0_ .rela.text._ZN2cv3MatD2Ev .gcc_except_table._ZN2cv3MatD2Ev .rela.text._ZN2cv6StringC2ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv .rela.text._ZN2cv3dnn7darknet12escapeStringERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE .gcc_except_table._ZN2cv3dnn7darknet12escapeStringERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE .rela.text._ZN2cv3dnn7darknet15setLayersParamsD2Ev .rela.text._ZN2cv10AutoBufferINS_6StringELm1EEC2ERKS2_ .gcc_except_table._ZN2cv10AutoBufferINS_6StringELm1EEC2ERKS2_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValueaSERKS2_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValueaSERKS2_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValueC2ERKS2_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValueC2ERKS2_ .rela.text._ZNSt6vectorIN2cv3MatESaIS1_EED2Ev .gcc_except_table._ZNSt6vectorIN2cv3MatESaIS1_EED2Ev .rela.text._ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EED2Ev .rela.text._ZNSt6vectorIN2cv3MatESaIS1_EEaSERKS3_ .gcc_except_table._ZNSt6vectorIN2cv3MatESaIS1_EEaSERKS3_ .rela.text._ZNSt4pairIN2cv6StringENS0_3dnn23experimental_dnn_34_v119DictValueEEC2IS4_Lb1EEERKS1_OT_ .gcc_except_table._ZNSt4pairIN2cv6StringENS0_3dnn23experimental_dnn_34_v119DictValueEEC2IS4_Lb1EEERKS1_OT_ .rela.text._ZStplIcSt11char_traitsIcESaIcEENSt7__cxx1112basic_stringIT_T0_T1_EEPKS5_RKS8_ .gcc_except_table._ZStplIcSt11char_traitsIcESaIcEENSt7__cxx1112basic_stringIT_T0_T1_EEPKS5_RKS8_ .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE4findERS3_ .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E .rela.text._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev .rela.text._ZN2cv3dnn7darknet14LayerParameterD2Ev .rela.text._ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_S5_ESt10_Select1stIS8_ESt4lessIS5_ESaIS8_EE8_M_eraseEPSt13_Rb_tree_nodeIS8_E .rela.text._ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE19_M_emplace_back_auxIJRKS5_EEEvDpOT_ .gcc_except_table._ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE19_M_emplace_back_auxIJRKS5_EEEvDpOT_ .rela.text._ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE9push_backERKS5_ .rela.text._ZNSt6vectorIN2cv3MatESaIS1_EE19_M_emplace_back_auxIJRKS1_EEEvDpOT_ .gcc_except_table._ZNSt6vectorIN2cv3MatESaIS1_EE19_M_emplace_back_auxIJRKS1_EEEvDpOT_ .rela.text._ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED2Ev .rela.text._ZNSt7__cxx1118basic_stringstreamIcSt11char_traitsIcESaIcEEC1ERKNS_12basic_stringIcS2_S3_EESt13_Ios_Openmode.constprop.287 .gcc_except_table._ZNSt7__cxx1118basic_stringstreamIcSt11char_traitsIcESaIcEEC1ERKNS_12basic_stringIcS2_S3_EESt13_Ios_Openmode.constprop.287 .rela.text._ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED0Ev .rela.text._ZNSt6vectorIiSaIiEE17_M_default_appendEm .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v114Dict3setIiEERKT_RKNS_6StringES6_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v114Dict3setIiEERKT_RKNS_6StringES6_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v114Dict3setIbEERKT_RKNS_6StringES6_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v114Dict3setIbEERKT_RKNS_6StringES6_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v114Dict3setIfEERKT_RKNS_6StringES6_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v114Dict3setIfEERKT_RKNS_6StringES6_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v114Dict3setINS_6StringEEERKT_RKS4_S7_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v114Dict3setINS_6StringEEERKT_RKS4_S7_ .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE7_M_copyINSD_20_Reuse_or_alloc_nodeEEEPSt13_Rb_tree_nodeIS7_EPKSH_PSt18_Rb_tree_node_baseRT_ .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE7_M_copyINSD_20_Reuse_or_alloc_nodeEEEPSt13_Rb_tree_nodeIS7_EPKSH_PSt18_Rb_tree_node_baseRT_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsaSERKS2_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsaSERKS2_ .rela.text._ZNSt6vectorIfSaIfEE19_M_emplace_back_auxIJRKfEEEvDpOT_ .rela.text._ZN2cv3dnn7darknet10getNumbersIfEESt6vectorIT_SaIS4_EERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE .gcc_except_table._ZN2cv3dnn7darknet10getNumbersIfEESt6vectorIT_SaIS4_EERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE .rela.text._ZNKSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_S5_ESt10_Select1stIS8_ESt4lessIS5_ESaIS8_EE4findERS7_ .rela.text._ZN2cv3dnn7darknet8getParamIiEET_RKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESA_St4lessISA_ESaISt4pairIKSA_SA_EEESA_S3_ .gcc_except_table._ZN2cv3dnn7darknet8getParamIiEET_RKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESA_St4lessISA_ESaISt4pairIKSA_SA_EEESA_S3_ .rela.text._ZN2cv3dnn7darknet8getParamINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEET_RKSt3mapIS8_S8_St4lessIS8_ESaISt4pairIKS8_S8_EEES8_S9_ .gcc_except_table._ZN2cv3dnn7darknet8getParamINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEET_RKSt3mapIS8_S8_St4lessIS8_ESaISt4pairIKS8_S8_EEES8_S9_ .rela.text._ZN2cv3dnn7darknet8getParamIiEET_RKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESA_St4lessISA_ESaISt4pairIKSA_SA_EEESA_S3_.constprop.283 .gcc_except_table._ZN2cv3dnn7darknet8getParamIiEET_RKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESA_St4lessISA_ESaISt4pairIKSA_SA_EEESA_S3_.constprop.283 .rela.text._ZN2cv3dnn7darknet8getParamIiEET_RKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESA_St4lessISA_ESaISt4pairIKSA_SA_EEESA_S3_.constprop.284 .gcc_except_table._ZN2cv3dnn7darknet8getParamIiEET_RKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESA_St4lessISA_ESaISt4pairIKSA_SA_EEESA_S3_.constprop.284 .rela.text._ZN2cv3dnn7darknet8getParamIiEET_RKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESA_St4lessISA_ESaISt4pairIKSA_SA_EEESA_S3_.constprop.285 .gcc_except_table._ZN2cv3dnn7darknet8getParamIiEET_RKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESA_St4lessISA_ESaISt4pairIKSA_SA_EEESA_S3_.constprop.285 .rela.text._ZNSt6vectorIiSaIiEE19_M_emplace_back_auxIJRKiEEEvDpOT_ .rela.text._ZN2cv3dnn7darknet10getNumbersIiEESt6vectorIT_SaIS4_EERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE .gcc_except_table._ZN2cv3dnn7darknet10getNumbersIiEESt6vectorIT_SaIS4_EERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE7_M_copyINSD_11_Alloc_nodeEEEPSt13_Rb_tree_nodeIS7_EPKSH_PSt18_Rb_tree_node_baseRT_ .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE7_M_copyINSD_11_Alloc_nodeEEEPSt13_Rb_tree_nodeIS7_EPKSH_PSt18_Rb_tree_node_baseRT_ .rela.text._ZN2cv3dnn7darknet14LayerParameterC2ERKS2_ .gcc_except_table._ZN2cv3dnn7darknet14LayerParameterC2ERKS2_ .rela.text._ZNSt6vectorIN2cv3dnn7darknet14LayerParameterESaIS3_EE19_M_emplace_back_auxIJRKS3_EEEvDpOT_ .gcc_except_table._ZNSt6vectorIN2cv3dnn7darknet14LayerParameterESaIS3_EE19_M_emplace_back_auxIJRKS3_EEEvDpOT_ .rela.text._ZNSt6vectorIN2cv3dnn7darknet14LayerParameterESaIS3_EE9push_backERKS3_ .rela.text._ZN2cv3dnn7darknet15setLayersParams14setConvolutionEiiiiiii .gcc_except_table._ZN2cv3dnn7darknet15setLayersParams14setConvolutionEiiiiiii .rela.text._ZN2cv3dnn7darknet15setLayersParams10setMaxpoolEmmm .gcc_except_table._ZN2cv3dnn7darknet15setLayersParams10setMaxpoolEmmm .rela.text._ZN2cv3dnn7darknet15setLayersParams10setAvgpoolEv .gcc_except_table._ZN2cv3dnn7darknet15setLayersParams10setAvgpoolEv .rela.text._ZN2cv3dnn7darknet15setLayersParams9setConcatEiPi .gcc_except_table._ZN2cv3dnn7darknet15setLayersParams9setConcatEiPi .rela.text._ZN2cv3dnn7darknet15setLayersParams8setReorgEi .gcc_except_table._ZN2cv3dnn7darknet15setLayersParams8setReorgEi .rela.text._ZN2cv3dnn7darknet15setLayersParams9setRegionEfiiiiiiPf .gcc_except_table._ZN2cv3dnn7darknet15setLayersParams9setRegionEfiiiiiiPf .rela.text._ZN2cv3dnn7darknet15setLayersParams11setShortcutEi .gcc_except_table._ZN2cv3dnn7darknet15setLayersParams11setShortcutEi .rela.text._ZN2cv3dnn7darknet15setLayersParams11setUpsampleEi .gcc_except_table._ZN2cv3dnn7darknet15setLayersParams11setUpsampleEi .rela.text._ZN2cv3dnn7darknet15setLayersParams10setPermuteEb .gcc_except_table._ZN2cv3dnn7darknet15setLayersParams10setPermuteEb .rela.text._ZN2cv3dnn7darknet15setLayersParams7setYoloEiRKSt6vectorIiSaIiEERKS3_IfSaIfEE .gcc_except_table._ZN2cv3dnn7darknet15setLayersParams7setYoloEiRKSt6vectorIiSaIiEERKS3_IfSaIfEE .rela.text._ZN2cv3dnn7darknet15setLayersParams10setSoftmaxEv .gcc_except_table._ZN2cv3dnn7darknet15setLayersParams10setSoftmaxEv .rela.text._ZN2cv3dnn7darknet15setLayersParams11setIdentityEi .gcc_except_table._ZN2cv3dnn7darknet15setLayersParams11setIdentityEi .rela.text._ZNSt8_Rb_treeIiSt4pairIKiSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES8_St4lessIS8_ESaIS0_IKS8_S8_EEEESt10_Select1stISF_ES9_IiESaISF_EE24_M_get_insert_unique_posERS1_ .rela.text._ZNSt8_Rb_treeIiSt4pairIKiSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES8_St4lessIS8_ESaIS0_IKS8_S8_EEEESt10_Select1stISF_ES9_IiESaISF_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorISF_ERS1_ .rela.text._ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_S5_ESt10_Select1stIS8_ESt4lessIS5_ESaIS8_EE24_M_get_insert_unique_posERS7_ .rela.text._ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_S5_ESt10_Select1stIS8_ESt4lessIS5_ESaIS8_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS8_ERS7_ 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.gcc_except_table._ZNSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES5_St4lessIS5_ESaISt4pairIKS5_S5_EEEixERS9_ .rela.text._ZN2cv3dnn7darknet24ReadDarknetFromCfgStreamERSiPNS1_12NetParameterE .gcc_except_table._ZN2cv3dnn7darknet24ReadDarknetFromCfgStreamERSiPNS1_12NetParameterE .rela.text._ZN2cv3dnn31ReadNetParamsFromCfgStreamOrDieERSiPNS0_7darknet12NetParameterE .gcc_except_table._ZN2cv3dnn31ReadNetParamsFromCfgStreamOrDieERSiPNS0_7darknet12NetParameterE .rela.text.startup._GLOBAL__sub_I_darknet_io.cpp .rela.init_array .bss._ZN2cv3dnn7darknetL15kFirstLayerNameE .bss._ZStL8__ioinit .rodata._GLOBAL__sub_I_darknet_io.cpp.str1.8 .rodata._ZN2cv3dnn34ReadNetParamsFromBinaryStreamOrDieERSiPNS0_7darknet12NetParameterE.str1.8 .rodata._ZN2cv3dnn7darknet15setLayersParams10setAvgpoolEv.str1.8 .rodata._ZN2cv3dnn7darknet15setLayersParams10setMaxpoolEmmm.str1.8 .rodata._ZN2cv3dnn7darknet15setLayersParams10setPermuteEb.str1.8 .rodata._ZN2cv3dnn7darknet15setLayersParams10setSoftmaxEv.str1.8 .rodata._ZN2cv3dnn7darknet15setLayersParams11setIdentityEi.str1.8 .rodata._ZN2cv3dnn7darknet15setLayersParams11setShortcutEi.str1.8 .rodata._ZN2cv3dnn7darknet15setLayersParams11setUpsampleEi.str1.8 .rodata._ZN2cv3dnn7darknet15setLayersParams14setConvolutionEiiiiiii.str1.8 .rodata._ZN2cv3dnn7darknet15setLayersParams7setYoloEiRKSt6vectorIiSaIiEERKS3_IfSaIfEE.str1.8 .rodata._ZN2cv3dnn7darknet15setLayersParams8setReorgEi.str1.8 .rodata._ZN2cv3dnn7darknet15setLayersParams9setConcatEiPi.str1.8 .rodata._ZN2cv3dnn7darknet15setLayersParams9setRegionEfiiiiiiPf.str1.8 .rodata._ZN2cv3dnn7darknet24ReadDarknetFromCfgStreamERSiPNS1_12NetParameterE.str1.8 .rodata._ZN2cv3dnn7darknet28ReadDarknetFromWeightsStreamERSiPNS1_12NetParameterE.str1.8 .rodata._ZNSt6vectorIiSaIiEE17_M_default_appendEm.str1.8 .rodata._ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag.isra.164.str1.8 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¼ Ì à À À ü ó{¿© s ઠB ᪠@ù R R` 9@ a Ò` 9@ R` ¹@ R` 9@ R` 9@ ó{Á¨ 9À_Ö cv::Mat cv::dnn::experimental_dnn_34_v11::Net::Impl::getBlob(const cv::dnn::experimental_dnn_34_v11::LayerPin&) void cv::dnn::experimental_dnn_34_v11::Net::Impl::forwardLayer(cv::dnn::experimental_dnn_34_v11::LayerData&) void cv::dnn::experimental_dnn_34_v11::Net::Impl::forwardToLayer(cv::dnn::experimental_dnn_34_v11::LayerData&, bool) void cv::dnn::experimental_dnn_34_v11::Net::Impl::initInfEngineBackend() void cv::dnn::experimental_dnn_34_v11::Net::Impl::initHalideBackend() void cv::dnn::experimental_dnn_34_v11::Net::Impl::initBackend() void cv::dnn::experimental_dnn_34_v11::Net::Impl::fuseLayers(const std::vector<cv::dnn::experimental_dnn_34_v11::LayerPin>&) void cv::dnn::experimental_dnn_34_v11::BlobManager::reset() void cv::dnn::experimental_dnn_34_v11::Net::Impl::allocateLayers(const std::vector<cv::dnn::experimental_dnn_34_v11::LayerPin>&) void cv::dnn::experimental_dnn_34_v11::Net::Impl::clear() void cv::dnn::experimental_dnn_34_v11::Net::Impl::setUpNet(const std::vector<cv::dnn::experimental_dnn_34_v11::LayerPin>&) cv::Ptr<cv::dnn::experimental_dnn_34_v11::Layer> cv::dnn::experimental_dnn_34_v11::LayerData::getLayerInstance() cv::dnn::experimental_dnn_34_v11::LayerData::LayerData(int, const cv::String&, const cv::String&, cv::dnn::experimental_dnn_34_v11::LayerParams&) N2cv6detail8PtrOwnerE N2cv3dnn23experimental_dnn_34_v1111BackendNodeE N2cv3dnn23experimental_dnn_34_v1114BackendWrapperE N2cv3dnn23experimental_dnn_34_v115LayerE N2cv3dnn23experimental_dnn_34_v1112PoolingLayerE N2cv3dnn23experimental_dnn_34_v1111ConcatLayerE N2cv3dnn23experimental_dnn_34_v1115ActivationLayerE N2cv3dnn23experimental_dnn_34_v1112EltwiseLayerE N2cv3dnn23experimental_dnn_34_v1120OpenCLBackendWrapperE N2cv3dnn23experimental_dnn_34_v119DataLayerE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1120OpenCLBackendWrapperENS_14DefaultDeleterIS4_EEEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v119DataLayerENS_14DefaultDeleterIS4_EEEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v113Net4ImplENS_14DefaultDeleterIS5_EEEE » ] £ q · Z M n µ 1 ø × g · É Û Ø Ï ê í é à C '
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B ~ : , D # ¾ OPENCV_DNN_DISABLE_MEMORY_OPTIMIZATIONS OPENCV_DNN_OPENCL_ALLOW_ALL_DEVICES OPENCV_DNN_BACKEND_DEFAULT OPENCV_DNN_CHECK_NAN_INF OPENCV_DNN_CHECK_NAN_INF_DUMP OPENCV_DNN_CHECK_NAN_INF_RAISE_ERROR mapIt != reuseMap.end() refIt != refCounter.end() memHosts.find(lp) == memHosts.end() refIt->second > 0 reuseMap.find(user) == reuseMap.end() reuseMap.find(host) != reuseMap.end() Layer " " already was registered !it->second.empty() Constructor of backend wrapper must be implemented !images.empty() image0.dims == 2 image.depth() == blob_.depth() image.dims == 2 && (nch == 3 || nch == 4) /home/yhc/workspace/opencv/opencv-src/modules/core/include/opencv2/core/mat.inl.hpp nch == 1 image.dims == 2 && (nch == 1) image.size() == image0.size() total() == 0 || data != NULL mean_ == Scalar() && "Mean subtraction is not supported for CV_8U blob depth" blob_.depth() == CV_32F blob_.dims == 4 m.dims > 2 wrappers.size() == umats.size() !umatWrapper.empty() !base.empty() Requested layer "%s" was not initialized cl_khr_fp16 Build OpenCV with Inference Engine to enable loading models from Model Optimizer. Convolution MVN Pooling Concat ReLU ChannelsPReLU downLayerData biasLayerData biasLayerData->outputBlobsWrappers.size() == 1 ld.inputBlobsWrappers.size() == 1 ld.outputBlobs.size() == 1 ld.outputBlobsWrappers.size() == 1 output_slice.isContinuous() && output_slice.size == curr_output.size curr_output.data == output_slice.data ReLU6 TanH Power preferableTarget == DNN_TARGET_CPU || IS_DNN_OPENCL_TARGET(preferableTarget) preferableBackend == DNN_BACKEND_INFERENCE_ENGINE WARNING: NaN detected in layer output: id= name= output id= output shape= WARNING: Inf detected in layer output: id= INPUT OUTPUT INTERNAL !fail is NULL !node.empty() layerDesc.isInt() || layerDesc.isString() (idx == -1 && size() == 1) || (idx >= 0 && idx < size()) /home/yhc/workspace/opencv/opencv-src/modules/dnn/include/opencv2/dnn/dnn.inl.hpp (idx == -1 && ps->size() == 1) || (idx >= 0 && idx < (int)ps->size()) Requested layer " " not found Layer with requested id=%d not found layerShapesIt != layersShapes.end() ld.requiredOutputs.size() <= outShapes.size() ld.inputBlobs[0]->total() == total(shapes[index]) from.valid() !layers[0].outputBlobs.empty() inp.total() preferableBackend == DNN_BACKEND_HALIDE !ldBot.backendNodes[preferableBackend].empty() IS_DNN_OPENCL_TARGET(preferableTarget) outLayerId < inLayerId Input #%d of layer "%s" already was connected Layer "%s" produce only %d outputs, the #%d was requested Requested blob not found !ld.outputBlobsWrappers.empty() && !ld.outputBlobsWrappers[pin.oid].empty() preferableBackend != DNN_BACKEND_OPENCV || preferableTarget == DNN_TARGET_CPU || preferableTarget == DNN_TARGET_OPENCL || preferableTarget == DNN_TARGET_OPENCL_FP16 preferableBackend != DNN_BACKEND_HALIDE || preferableTarget == DNN_TARGET_CPU || preferableTarget == DNN_TARGET_OPENCL preferableBackend != DNN_BACKEND_INFERENCE_ENGINE || preferableTarget == DNN_TARGET_CPU || preferableTarget == DNN_TARGET_OPENCL || preferableTarget == DNN_TARGET_OPENCL_FP16 || preferableTarget == DNN_TARGET_MYRIAD || preferableTarget == DNN_TARGET_FPGA DNN: OpenCL target is not supported with current OpenCL device (tested with GPUs only), switching to CPU. DNN: OpenCL target with fp16 precision is not supported with current OpenCL device (tested with Intel GPUs only), switching to OpenCL with fp32 precision. it != layers.end() preferableBackend != DNN_BACKEND_HALIDE _input __NetInputLayer__ outPin.valid() && inpPin.valid() !ld.outputBlobsWrappers[i].empty() " already into net numParam < (int)layerBlobs.size() Requested blob " Halide pipeline of layers is not defined. Inference Engine pipeline of Reading Torch models from buffers Reading Intel's Model Optimizer models from buffers Cannot determine an origin framework with a name caffe prototxt caffemodel tensorflow pbtxt pb torch t7 net darknet cfg weights dldt xml bin onnx Cannot determine an origin framework of files: , mean == Scalar() || inputsData[i].size[1] <= 4 outputs_.depth() == CV_32F outputs.size() == scaleFactors.size() outputs.size() == means.size() inputsData.size() == outputs.size() Can't create layer " " of type " " start <= (int)shape.size() && end <= (int)shape.size() && start <= end /home/yhc/workspace/opencv/opencv-src/modules/dnn/include/opencv2/dnn/shape_utils.hpp Unknown target identifier /home/yhc/workspace/opencv/opencv-src/modules/dnn/src/dnn.cpp haveHalide() haveInfEngine() Unknown backend identifier ] vector::reserve inShapes.size() == outShapes.size() inShapes.size() == ids.size() layer != impl->layers.end() inputs.size() inputs.size() == requiredOutputs vector::_M_range_insert vector::_M_default_append vector::_M_fill_insert basic_string::_M_construct null not valid Mat numReferences releaseReference void cv::dnn::experimental_dnn_34_v11::BlobManager::allocateBlobsForLayer(cv::dnn::experimental_dnn_34_v11::LayerData&, const cv::dnn::experimental_dnn_34_v11::{anonymous}::LayerShapes&, std::vector<cv::dnn::experimental_dnn_34_v11::LayerPin>&, bool) allocateBlobsForLayer reuse addHost static void cv::dnn::experimental_dnn_34_v11::LayerFactory::registerLayer(const cv::String&, cv::dnn::experimental_dnn_34_v11::LayerFactory::Constructor) registerLayer static void cv::dnn::experimental_dnn_34_v11::LayerFactory::unregisterLayer(const cv::String&) static cv::Ptr<cv::dnn::experimental_dnn_34_v11::Layer> cv::dnn::experimental_dnn_34_v11::LayerFactory::createLayerInstance(const cv::String&, cv::dnn::experimental_dnn_34_v11::LayerParams&) createLayerInstance void cv::dnn::experimental_dnn_34_v11::blobFromImage(cv::InputArray, cv::OutputArray, double, const Size&, const Scalar&, bool, bool, int) cv::Mat cv::dnn::experimental_dnn_34_v11::blobFromImage(cv::InputArray, double, const Size&, const Scalar&, bool, bool, int) BackendWrapper BackendWrapper void cv::dnn::experimental_dnn_34_v11::blobFromImages(cv::InputArrayOfArrays, cv::OutputArray, double, cv::Size, const Scalar&, bool, bool, int) blobFromImages cv::Mat cv::dnn::experimental_dnn_34_v11::blobFromImages(cv::InputArrayOfArrays, double, cv::Size, const Scalar&, bool, bool, int) void cv::dnn::experimental_dnn_34_v11::imagesFromBlob(const cv::Mat&, cv::OutputArrayOfArrays) imagesFromBlob getUMatVector update OpenCLBackendWrapper int cv::dnn::experimental_dnn_34_v11::Net::addLayerToPrev(const cv::String&, const cv::String&, cv::dnn::experimental_dnn_34_v11::LayerParams&) getLayerInputs void cv::dnn::experimental_dnn_34_v11::Net::setInputsNames(const std::vector<cv::String>&) void cv::dnn::experimental_dnn_34_v11::Net::setHalideScheduler(const cv::String&) void cv::dnn::experimental_dnn_34_v11::Net::setPreferableTarget(int) void cv::dnn::experimental_dnn_34_v11::Net::setPreferableBackend(int) readFromModelOptimizer fuseLayers initBackend forwardLayer getLayerData getLayerData getLayerData addLayerInput void cv::dnn::experimental_dnn_34_v11::Net::Impl::allocateLayer(int, const LayersShapesMap&) allocateLayer allocateLayers initHalideBackend initInfEngineBackend wrap connect getBlob setUpNet void cv::dnn::experimental_dnn_34_v11::Net::connect(cv::String, cv::String) connect void cv::dnn::experimental_dnn_34_v11::Net::connect(int, int, int, int) void cv::dnn::experimental_dnn_34_v11::Net::forward(cv::OutputArrayOfArrays, const cv::String&) forward void cv::dnn::experimental_dnn_34_v11::Net::forward(cv::OutputArrayOfArrays, const std::vector<cv::String>&) cv::Mat cv::dnn::experimental_dnn_34_v11::Net::forward(const cv::String&) void cv::dnn::experimental_dnn_34_v11::Net::forward(std::vector<std::vector<cv::Mat> >&, const std::vector<cv::String>&) int cv::dnn::experimental_dnn_34_v11::Net::addLayer(const cv::String&, const cv::String&, cv::dnn::experimental_dnn_34_v11::LayerParams&) addLayer getParam void cv::dnn::experimental_dnn_34_v11::Net::setInput(cv::InputArray, const cv::String&, double, const Scalar&) setInput setParam initHalide initInfEngine void cv::dnn::experimental_dnn_34_v11::Layer::forward_fallback(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays) void cv::dnn::experimental_dnn_34_v11::Layer::run(const std::vector<cv::Mat>&, std::vector<cv::Mat>&, std::vector<cv::Mat>&) virtual void cv::dnn::experimental_dnn_34_v11::Layer::forward(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays) virtual void cv::dnn::experimental_dnn_34_v11::Layer::finalize(cv::InputArrayOfArrays, cv::OutputArrayOfArrays) std::vector<cv::Mat> cv::dnn::experimental_dnn_34_v11::Layer::finalize(const std::vector<cv::Mat>&) void cv::dnn::experimental_dnn_34_v11::Layer::finalize(const std::vector<cv::Mat>&, std::vector<cv::Mat>&) readNet readNet forward_ocl virtual void cv::dnn::experimental_dnn_34_v11::DataLayer::forward(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays) forward finalize getLayerInstance total wrapMat getPlane void cv::dnn::experimental_dnn_34_v11::Net::getMemoryConsumption(const std::vector<std::vector<int> >&, std::vector<int>&, std::vector<long unsigned int>&, std::vector<long unsigned int>&) const getMemoryConsumption void cv::dnn::experimental_dnn_34_v11::Net::getMemoryConsumption(const std::vector<std::vector<int> >&, size_t&, size_t&) const void cv::dnn::experimental_dnn_34_v11::Net::getMemoryConsumption(int, const std::vector<std::vector<int> >&, size_t&, size_t&) const getMemoryConsumption int64 cv::dnn::experimental_dnn_34_v11::Net::getFLOPS(const std::vector<std::vector<int> >&) const getFLOPS getFLOPS getMemoryShapes getMemoryShapes get<cv::String> get<long int> type name scheduler targetId backendId 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_ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_iESt10_Select1stIS6_ESt4lessIS3_ESaIS6_EE8_M_eraseEPSt13_Rb_tree_nodeIS6_E _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_S3_ESt10_Select1stIS6_ESt4lessIS3_ESaIS6_EE8_M_eraseEPSt13_Rb_tree_nodeIS6_E _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_NS0_3MatEESt10_Select1stIS7_ESt4lessIS3_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E _ZN2cv3dnn23experimental_dnn_34_v1111BlobManagerD2Ev _ZN2cv3dnn23experimental_dnn_34_v1111BlobManagerD1Ev _ZNSt8_Rb_treeIPvSt4pairIKS0_N2cv3PtrINS3_3dnn23experimental_dnn_34_v1114BackendWrapperEEEESt10_Select1stIS9_ESt4lessIS0_ESaIS9_EE8_M_eraseEPSt13_Rb_tree_nodeIS9_E _ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v113Net4ImplENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE4findERS3_ _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl12getLayerDataERKNS_6StringE 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_ZNK2cv3dnn23experimental_dnn_34_v113Net13getLayerNamesEv _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_St6vectorIPFNS0_3PtrINS0_3dnn23experimental_dnn_34_v115LayerEEERNS7_11LayerParamsEESaISD_EEESt10_Select1stISG_ESt4lessIS1_ESaISG_EE8_M_eraseEPSt13_Rb_tree_nodeISG_E _ZNSt3mapIN2cv6StringESt6vectorIPFNS0_3PtrINS0_3dnn23experimental_dnn_34_v115LayerEEERNS5_11LayerParamsEESaISB_EESt4lessIS1_ESaISt4pairIKS1_SD_EEED2Ev _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_St6vectorIPFNS0_3PtrINS0_3dnn23experimental_dnn_34_v115LayerEEERNS7_11LayerParamsEESaISD_EEESt10_Select1stISG_ESt4lessIS1_ESaISG_EE4findERS3_ _ZN2cv3dnn23experimental_dnn_34_v1112LayerFactory19createLayerInstanceERKNS_6StringERNS1_11LayerParamsE _ZN2cv3dnn23experimental_dnn_34_v119LayerData16getLayerInstanceEv _ZZN2cv3dnn23experimental_dnn_34_v119LayerData16getLayerInstanceEvE25__cv_trace_location_fn504 _ZZN2cv3dnn23experimental_dnn_34_v119LayerData16getLayerInstanceEvE22__cv_trace_arg_type505 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_ZNSt6vectorISt4pairIN2cv3dnn23experimental_dnn_34_v117BackendENS3_6TargetEESaIS6_EE19_M_emplace_back_auxIJS6_EEEvDpOT_ _ZNSt6vectorISt4pairIN2cv3dnn23experimental_dnn_34_v117BackendENS3_6TargetEESaIS6_EE12emplace_backIJS6_EEEvDpOT_ _ZN2cv3dnn23experimental_dnn_34_v1115BackendRegistry11getRegistryEv _ZGVZN2cv3dnn23experimental_dnn_34_v1115BackendRegistry11getRegistryEvE4impl _ZZN2cv3dnn23experimental_dnn_34_v1115BackendRegistry11getRegistryEvE4impl _ZN2cv3ocl9useOpenCLEv __cxa_guard_abort _ZN2cv3dnn23experimental_dnn_34_v1119getAvailableTargetsENS1_7BackendE _ZN2cv3dnn23experimental_dnn_34_v1120getAvailableBackendsEv _ZSt9__find_ifIN9__gnu_cxx17__normal_iteratorIPN2cv6StringESt6vectorIS3_SaIS3_EEEENS0_5__ops16_Iter_equals_valIKS3_EEET_SD_SD_T0_St26random_access_iterator_tag _ZN2cv3dnn23experimental_dnn_34_v119DataLayer17outputNameToIndexERKNS_6StringE _ZNSt6vectorIPN2cv3MatESaIS2_EE19_M_emplace_back_auxIJS2_EEEvDpOT_ _ZNSt8_Rb_treeIiSt4pairIKiN2cv3dnn23experimental_dnn_34_v119LayerDataEESt10_Select1stIS6_ESt4lessIiESaIS6_EE24_M_get_insert_unique_posERS1_ _ZNSt8_Rb_treeIiSt4pairIKiN2cv3dnn23experimental_dnn_34_v119LayerDataEESt10_Select1stIS6_ESt4lessIiESaIS6_EE16_M_insert_uniqueIS0_IiS5_EEES0_ISt17_Rb_tree_iteratorIS6_EbEOT_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE24_M_get_insert_unique_posERS3_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE16_M_insert_uniqueIS2_IS1_iEEES2_ISt17_Rb_tree_iteratorIS4_EbEOT_ _ZN2cv3dnn23experimental_dnn_34_v113Net4ImplC2Ev _ZTVN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v119DataLayerENS_14DefaultDeleterIS4_EEEE _ZN2cv3dnn23experimental_dnn_34_v113Net4ImplC1Ev _ZN2cv3dnn23experimental_dnn_34_v113NetC2Ev _ZTVN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v113Net4ImplENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn23experimental_dnn_34_v113NetC1Ev _ZNSt8_Rb_treeIiSt4pairIKiN2cv3dnn23experimental_dnn_34_v119LayerDataEESt10_Select1stIS6_ESt4lessIiESaIS6_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS6_ERS1_ _ZNSt3mapIiN2cv3dnn23experimental_dnn_34_v119LayerDataESt4lessIiESaISt4pairIKiS3_EEEixERS7_ _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl7getBlobERKNS1_8LayerPinE _ZZN2cv3dnn23experimental_dnn_34_v113Net4Impl7getBlobERKNS1_8LayerPinEE26__cv_trace_location_fn2491 _ZNK2cv3dnn23experimental_dnn_34_v113Net28getUnconnectedOutLayersNamesEv _ZNSt6vectorIlSaIlEE14_M_fill_insertEN9__gnu_cxx17__normal_iteratorIPlS1_EEmRKl _ZNSt6vectorIN2cv3dnn23experimental_dnn_34_v118LayerPinESaIS3_EE15_M_range_insertIN9__gnu_cxx17__normal_iteratorIPS3_S5_EEEEvSA_T_SB_St20forward_iterator_tag _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v115LayerEEESaIS5_EE19_M_emplace_back_auxIJS5_EEEvDpOT_ _ZN2cv3dnn23experimental_dnn_34_v113Net14getLayerInputsENS1_9DictValueE _ZSt18_Rb_tree_incrementPKSt18_Rb_tree_node_base _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS4_ERS3_ _ZNK2cv3dnn23experimental_dnn_34_v113Net13getLayerTypesERSt6vectorINS_6StringESaIS4_EE _ZNSt6vectorImSaImEE19_M_emplace_back_auxIJmEEEvDpOT_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE7_M_copyINSD_11_Alloc_nodeEEEPSt13_Rb_tree_nodeIS7_EPKSH_PSt18_Rb_tree_node_baseRT_ _Znam __cxa_throw_bad_array_new_length _ZN2cv3dnn23experimental_dnn_34_v113Net8addLayerERKNS_6StringES5_RNS1_11LayerParamsE _ZZN2cv3dnn23experimental_dnn_34_v119LayerDataC4EiRKNS_6StringES5_RNS1_11LayerParamsEE25__cv_trace_location_fn471 _ZN2cv3dnn23experimental_dnn_34_v113Net14addLayerToPrevERKNS_6StringES5_RNS1_11LayerParamsE _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_iESt10_Select1stIS6_ESt4lessIS3_ESaIS6_EE24_M_get_insert_unique_posERS5_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_iESt10_Select1stIS6_ESt4lessIS3_ESaIS6_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS6_ERS5_ _ZNSt3mapIN2cv3dnn23experimental_dnn_34_v118LayerPinEiSt4lessIS3_ESaISt4pairIKS3_iEEEixERS7_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_S3_ESt10_Select1stIS6_ESt4lessIS3_ESaIS6_EE24_M_get_insert_unique_posERS5_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_S3_ESt10_Select1stIS6_ESt4lessIS3_ESaIS6_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS6_ERS5_ _ZNSt3mapIN2cv3dnn23experimental_dnn_34_v118LayerPinES3_St4lessIS3_ESaISt4pairIKS3_S3_EEEixERS7_ _ZN2cv3dnn23experimental_dnn_34_v1111BlobManager5reuseERKNS1_8LayerPinES5_ _ZNSt20__uninitialized_copyILb0EE13__uninit_copyIN9__gnu_cxx17__normal_iteratorIPKSt6vectorIiSaIiEES4_IS6_SaIS6_EEEEPS6_EET0_T_SE_SD_ _ZNSt6vectorIS_IiSaIiEESaIS1_EEC2ERKS3_ _ZNSt6vectorIS_IiSaIiEESaIS1_EEC1ERKS3_ _ZNSt6vectorIS_IS_IiSaIiEESaIS1_EESaIS3_EE19_M_emplace_back_auxIJRKS3_EEEvDpOT_ _ZNSt8_Rb_treeIiSt4pairIKiSt6vectorIiSaIiEEESt10_Select1stIS5_ESt4lessIiESaIS5_EE24_M_get_insert_unique_posERS1_ _ZNSt8_Rb_treeIiSt4pairIKiSt6vectorIiSaIiEEESt10_Select1stIS5_ESt4lessIiESaIS5_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS5_ERS1_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_NS0_3MatEESt10_Select1stIS7_ESt4lessIS3_ESaIS7_EE24_M_get_insert_unique_posERS5_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinESt4pairIKS3_NS0_3MatEESt10_Select1stIS7_ESt4lessIS3_ESaIS7_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS7_ERS5_ _ZN2cv3dnn23experimental_dnn_34_v1111BlobManager13reuseOrCreateERKSt6vectorIiSaIiEERKNS1_8LayerPinERNS_3MatEb _ZN2cv3Mat6createERKSt6vectorIiSaIiEEi _ZN2cv3MatC1ERKS0_RKNS_5RangeES5_ _ZNK2cv3Mat7reshapeEiRKSt6vectorIiSaIiEE _ZNSt8_Rb_treeIPvSt4pairIKS0_N2cv3PtrINS3_3dnn23experimental_dnn_34_v1114BackendWrapperEEEESt10_Select1stIS9_ESt4lessIS0_ESaIS9_EE24_M_get_insert_unique_posERS2_ _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl4wrapERNS_3MatE _ZNSt8_Rb_treeIiSt4pairIKiN2cv3PtrINS2_3dnn23experimental_dnn_34_v1111BackendNodeEEEESt10_Select1stIS8_ESt4lessIiESaIS8_EE24_M_get_insert_unique_posERS1_ _ZNSt8_Rb_treeIiSt4pairIKiN2cv3PtrINS2_3dnn23experimental_dnn_34_v1111BackendNodeEEEESt10_Select1stIS8_ESt4lessIiESaIS8_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS8_ERS1_ _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl17initHalideBackendEv _ZZN2cv3dnn23experimental_dnn_34_v113Net4Impl17initHalideBackendEvE26__cv_trace_location_fn1370 _ZN2cv3dnn23experimental_dnn_34_v113Net4Impl11initBackendEv _ZZN2cv3dnn23experimental_dnn_34_v113Net4Impl11initBackendEvE26__cv_trace_location_fn1357 _ZZN2cv3dnn23experimental_dnn_34_v113Net4Impl20initInfEngineBackendEvE26__cv_trace_location_fn1463 _ZNSt27__uninitialized_default_n_1ILb0EE18__uninit_default_nIPN2cv3MatEmEET_S5_T0_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinES3_St9_IdentityIS3_ESt4lessIS3_ESaIS3_EE24_M_get_insert_unique_posERKS3_ _ZNSt8_Rb_treeIN2cv3dnn23experimental_dnn_34_v118LayerPinES3_St9_IdentityIS3_ESt4lessIS3_ESaIS3_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS3_ERKS3_ _ZNSt22__uninitialized_fill_nILb0EE15__uninit_fill_nIPSt6vectorIiSaIiEEmS4_EET_S6_T0_RKT1_ _ZNSt6vectorIiSaIiEEaSERKS1_ _ZNK2cv3dnn23experimental_dnn_34_v119DataLayer15getMemoryShapesERKSt6vectorIS3_IiSaIiEESaIS5_EEiRS7_SA_ _ZNSt6vectorIS_IiSaIiEESaIS1_EEaSERKS3_ _ZNSt6vectorIS_IiSaIiEESaIS1_EE14_M_fill_assignEmRKS1_ _ZNK2cv3dnn23experimental_dnn_34_v115Layer15getMemoryShapesERKSt6vectorIS3_IiSaIiEESaIS5_EEiRS7_SA_ _ZNSt20__uninitialized_copyILb0EE13__uninit_copyIPKN2cv3MatEPS3_EET0_T_S8_S7_ _ZNSt6vectorIN2cv3MatESaIS1_EE19_M_emplace_back_auxIJS1_EEEvDpOT_ _ZN2cv3dnn23experimental_dnn_34_v119DataLayer11forward_oclERKNS_11_InputArrayERKNS_12_OutputArrayES8_ _ZN2cv4UMatC1ERKS0_RKSt6vectorINS_5RangeESaIS4_EE _ZN2cvmiERKNS_3MatERKNS_7Scalar_IdEE _ZN2cvmlEdRKNS_7MatExprE _ZN2cv3dnn23experimental_dnn_34_v119DataLayer7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES8_ _ZZN2cv3dnn23experimental_dnn_34_v119DataLayer7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES8_E25__cv_trace_location_fn536 _ZZN2cv3dnn23experimental_dnn_34_v119DataLayer7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES8_E22__cv_trace_arg_name537 _ZN2cv3ocl17isOpenCLActivatedEv _ZZN2cv3dnn23experimental_dnn_34_v119DataLayer7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES8_E15__cv_check__561 _ZN2cv6detail20check_failed_MatTypeEiiRKNS0_12CheckContextE _ZNSt6vectorIN2cv3MatESaIS1_EE17_M_default_appendEm _ZNSt6vectorIN2cv3MatESaIS1_EE6resizeEm _ZN2cv3dnn23experimental_dnn_34_v113Net8setInputERKNS_11_InputArrayERKNS_6StringEdRKNS_7Scalar_IdEE memcmp 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.text._ZN2cv3dnn23experimental_dnn_34_v115Layer17outputNameToIndexERKNS_6StringE .text._ZN2cv3dnn23experimental_dnn_34_v115Layer14supportBackendEi .text._ZNK2cv3dnn23experimental_dnn_34_v115Layer20applyHalideSchedulerERNS_3PtrINS1_11BackendNodeEEERKSt6vectorIPNS_3MatESaIS9_EERKS7_IS8_SaIS8_EEi .text._ZN2cv3dnn23experimental_dnn_34_v115Layer9tryAttachERKNS_3PtrINS1_11BackendNodeEEE .text._ZN2cv3dnn23experimental_dnn_34_v115Layer7tryFuseERNS_3PtrIS2_EE .text._ZN2cv3dnn23experimental_dnn_34_v115Layer8finalizeERKSt6vectorIPNS_3MatESaIS5_EERS3_IS4_SaIS4_EE .text._ZN2cv3dnn23experimental_dnn_34_v115Layer7forwardERSt6vectorIPNS_3MatESaIS5_EERS3_IS4_SaIS4_EESB_ .text._ZN2cv3dnn23experimental_dnn_34_v1111BackendNodeD2Ev .text._ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v113Net4ImplENS_14DefaultDeleterIS5_EEED2Ev .text._ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v119DataLayerENS_14DefaultDeleterIS4_EEED2Ev .text._ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1120OpenCLBackendWrapperENS_14DefaultDeleterIS4_EEED2Ev .rela.text._ZN2cv3dnn23experimental_dnn_34_v1115BackendRegistryD2Ev .rela.text._ZN2cvL13errorNoReturnEiRKNS_6StringEPKcS4_i .rela.text._ZN2cv3dnn23experimental_dnn_34_v1111BackendNodeD0Ev .rela.text._ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v119DataLayerENS_14DefaultDeleterIS4_EEED0Ev .rela.text._ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v113Net4ImplENS_14DefaultDeleterIS5_EEED0Ev .rela.text._ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1120OpenCLBackendWrapperENS_14DefaultDeleterIS4_EEED0Ev .rela.text._ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v119DataLayerENS_14DefaultDeleterIS4_EEE10deleteSelfEv .rela.text._ZN2cveqERKNS_6StringES2_ .rela.text._ZN2cvltERKNS_6StringES2_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v1120OpenCLBackendWrapperD2Ev .rela.text._ZN2cv3dnn23experimental_dnn_34_v1120OpenCLBackendWrapperD0Ev .rela.text._ZN2cv3dnn23experimental_dnn_34_v1120OpenCLBackendWrapper10copyToHostEv .rela.text._ZNSt8_Rb_treeIiSt4pairIKiN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_111LayerShapesEESt10_Select1stIS7_ESt4lessIiESaIS7_EE24_M_get_insert_unique_posERS1_ .rela.text._ZNSt8_Rb_treeIiSt4pairIKiN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_111LayerShapesEESt10_Select1stIS7_ESt4lessIiESaIS7_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS7_ERS1_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v11L20getLayerFactoryMutexEv .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v11L20getLayerFactoryMutexEv .rela.text._ZN2cv3dnn23experimental_dnn_34_v11L19getLayerFactoryImplEv .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v11L19getLayerFactoryImplEv .rela.text._ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag.isra.655 .rela.text._ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1120OpenCLBackendWrapperENS_14DefaultDeleterIS4_EEE10deleteSelfEv .rela.text._ZN2cv3dnn23experimental_dnn_34_v11L5shapeEPKii .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v11L5shapeEPKii .rela.text._ZNSt6vectorIS_IiSaIiEESaIS1_EEC2EmRKS1_RKS2_.constprop.950 .gcc_except_table._ZNSt6vectorIS_IiSaIiEESaIS1_EEC2EmRKS1_RKS2_.constprop.950 .rela.text._ZN2cv6StringC2ERKS0_mm .rela.text._ZN2cv6StringC2EPKc .rela.text._ZN2cv3dnn23experimental_dnn_34_v11L7wrapMatEiiRNS_3MatE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v11L7wrapMatEiiRNS_3MatE .rela.text._ZN2cv3dnn23experimental_dnn_34_v11lsERSoRKSt6vectorIiSaIiEE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v11lsERSoRKSt6vectorIiSaIiEE .rela.text._ZN2cv3dnn23experimental_dnn_34_v11L5totalERKSt6vectorIiSaIiEEii.constprop.978 .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v11L5totalERKSt6vectorIiSaIiEEii.constprop.978 .rela.text._ZN2cv6StringaSERKS0_ .rela.text._ZNK2cv6String11toLowerCaseEv .gcc_except_table._ZNK2cv6String11toLowerCaseEv .rela.text._ZN2cvplERKNS_6StringES2_ .gcc_except_table._ZN2cvplERKNS_6StringES2_ .rela.text._ZN2cvplERKNS_6StringEPKc .gcc_except_table._ZN2cvplERKNS_6StringEPKc .rela.text._ZN2cvplEPKcRKNS_6StringE .gcc_except_table._ZN2cvplEPKcRKNS_6StringE .rela.text._ZN2cv3dnn23experimental_dnn_34_v115Layer10initHalideERKSt6vectorINS_3PtrINS1_14BackendWrapperEEESaIS6_EE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v115Layer10initHalideERKSt6vectorINS_3PtrINS1_14BackendWrapperEEESaIS6_EE .rela.text._ZN2cv3dnn23experimental_dnn_34_v115Layer13initInfEngineERKSt6vectorINS_3PtrINS1_14BackendWrapperEEESaIS6_EE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v115Layer13initInfEngineERKSt6vectorINS_3PtrINS1_14BackendWrapperEEESaIS6_EE .text._ZN2cv6detail8PtrOwner6decRefEv .rela.text._ZN2cvlsERSoRKNS_3MatE .gcc_except_table._ZN2cvlsERSoRKNS_3MatE .rela.text._ZN2cv3dnn23experimental_dnn_34_v115Layer13unsetAttachedEv .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v115Layer13unsetAttachedEv .rela.text._ZN2cv3MatC2ERKS0_ .rela.text._ZNK2cv11_InputArray6getMatEi .rela.text._ZN2cv3MatD2Ev .gcc_except_table._ZN2cv3MatD2Ev .rela.text._ZN2cv3MataSERKS0_ .rela.text._ZNK2cv3Mat5cloneEv .gcc_except_table._ZNK2cv3Mat5cloneEv .rela.text._ZN2cv3MataSEOS0_ .rela.text._ZNK2cv3dnn23experimental_dnn_34_v115Layer13getScaleShiftERNS_3MatES4_ .gcc_except_table._ZNK2cv3dnn23experimental_dnn_34_v115Layer13getScaleShiftERNS_3MatES4_ .rela.text._ZN2cv4UMataSERKS0_ .rela.text._ZN2cv4UMataSEOS0_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv .rela.text._ZN2cv3dnn23experimental_dnn_34_v1120OpenCLBackendWrapperC2ERKNS_3PtrINS1_14BackendWrapperEEERNS_3MatE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1120OpenCLBackendWrapperC2ERKNS_3PtrINS1_14BackendWrapperEEERNS_3MatE .rela.text._ZN2cv3dnn23experimental_dnn_34_v1120OpenCLBackendWrapper6updateERKSt6vectorINS_3PtrINS1_14BackendWrapperEEESaIS6_EERKS3_INS_4UMatESaISB_EE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1120OpenCLBackendWrapper6updateERKSt6vectorINS_3PtrINS1_14BackendWrapperEEESaIS6_EERKS3_INS_4UMatESaISB_EE .text._ZN2cv3dnn23experimental_dnn_34_v119LayerDataC2EOS2_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v113Net4Impl5clearEv .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v113Net4Impl5clearEv .rela.text._ZN2cv3dnn23experimental_dnn_34_v113Net4Impl12getLayerDataEi .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v113Net4Impl12getLayerDataEi .rela.text._ZN2cv3dnn23experimental_dnn_34_v113Net22readFromModelOptimizerERKNS_6StringES5_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v113Net22readFromModelOptimizerERKNS_6StringES5_ 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.rela.text._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_18ChannelsPReLULayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .rela.text._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_18CropAndResizeLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .rela.text._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_11InterpLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .rela.text._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_116ProtobufShutdownD2Ev .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_116ProtobufShutdownD2Ev .rela.text._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_10SliceLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_10SliceLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .rela.text._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_10SplitLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_10SplitLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .rela.text._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_11ConcatLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_11ConcatLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .rela.text._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_12ReshapeLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_12ReshapeLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .rela.text._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_12FlattenLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_12FlattenLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .rela.text._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_11ResizeLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_11ResizeLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .rela.text._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_16ConvolutionLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_16ConvolutionLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .rela.text._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_18DeconvolutionLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_18DeconvolutionLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .rela.text._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_12PoolingLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_12PoolingLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .rela.text._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_8LRNLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v117details23_layerDynamicRegistererINS1_8LRNLayerEEENS_3PtrINS1_5LayerEEERNS1_11LayerParamsE 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DRc B áªÀ ô ªØÿÿô ª¨ÿÿô ª¨ÿÿô ªÏÿÿó ªàª ઠ¿ÿÿ _ëÀ TàªZ _ëÿÿT µÿÿô ªàª ઠô ª à@ù ùÿ´ Ëÿÿ Õ ÿB ÿõ+ ¨+ ¬+ Ô°+ ü ø À* + Ø + ¸¨) ì+ ¨Ä+ ÜÈ+ + + * Ì* øÀ) ì+ Ø* Ü( ´* ¬ø( È Ô( ´* À"Ô( ø" * &Ô( ô&`( Ð( * ** * * ¸*´* ¼*Ü( Ô* Ø*À* ì* +ð+ À+ è+, , ó{¿© s ઠáªó{Á¨ @ùB void cv::dnn::ElementWiseLayer<Func>::forward(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays) [with Func = cv::dnn::ReLU6Functor; cv::InputArrayOfArrays = const cv::_InputArray&; cv::OutputArrayOfArrays = const cv::_OutputArray&] void cv::dnn::ElementWiseLayer<Func>::forward(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays) [with Func = cv::dnn::TanHFunctor; cv::InputArrayOfArrays = const cv::_InputArray&; cv::OutputArrayOfArrays = const cv::_OutputArray&] void cv::dnn::ElementWiseLayer<Func>::forward(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays) [with Func = cv::dnn::SigmoidFunctor; cv::InputArrayOfArrays = const cv::_InputArray&; cv::OutputArrayOfArrays = const cv::_OutputArray&] void cv::dnn::ElementWiseLayer<Func>::forward(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays) [with Func = cv::dnn::ELUFunctor; cv::InputArrayOfArrays = const cv::_InputArray&; cv::OutputArrayOfArrays = const cv::_OutputArray&] void cv::dnn::ElementWiseLayer<Func>::forward(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays) [with Func = cv::dnn::AbsValFunctor; cv::InputArrayOfArrays = const cv::_InputArray&; cv::OutputArrayOfArrays = const cv::_OutputArray&] void cv::dnn::ElementWiseLayer<Func>::forward(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays) [with Func = cv::dnn::BNLLFunctor; cv::InputArrayOfArrays = const cv::_InputArray&; cv::OutputArrayOfArrays = const cv::_OutputArray&] void cv::dnn::ElementWiseLayer<Func>::forward(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays) [with Func = cv::dnn::PowerFunctor; cv::InputArrayOfArrays = const cv::_InputArray&; cv::OutputArrayOfArrays = const cv::_OutputArray&] void cv::dnn::ElementWiseLayer<Func>::forward(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays) [with Func = cv::dnn::ChannelsPReLUFunctor; cv::InputArrayOfArrays = const cv::_InputArray&; cv::OutputArrayOfArrays = const cv::_OutputArray&] void cv::dnn::ElementWiseLayer<Func>::forward(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays) [with Func = cv::dnn::ReLUFunctor; cv::InputArrayOfArrays = const cv::_InputArray&; cv::OutputArrayOfArrays = const cv::_OutputArray&] N2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE5PBodyE N2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE5PBodyE N2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE5PBodyE N2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE5PBodyE N2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyE N2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyE N2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyE N2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyE N2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE5PBodyE ¸ ¸ ¸ ¸ ¸ ¸ ¸ ¸ ¸ N2cv6detail8PtrOwnerE N2cv3dnn23experimental_dnn_34_v1115ActivationLayerE N2cv3dnn23experimental_dnn_34_v119ReLULayerE N2cv3dnn23experimental_dnn_34_v1110ReLU6LayerE N2cv3dnn23experimental_dnn_34_v1118ChannelsPReLULayerE N2cv3dnn23experimental_dnn_34_v118ELULayerE N2cv3dnn23experimental_dnn_34_v119TanHLayerE N2cv3dnn23experimental_dnn_34_v1112SigmoidLayerE N2cv3dnn23experimental_dnn_34_v119BNLLLayerE N2cv3dnn23experimental_dnn_34_v118AbsLayerE N2cv3dnn23experimental_dnn_34_v1110PowerLayerE N2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEEE N2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEEE N2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEEE N2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEEE N2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEEE N2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEEE N2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEEE N2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEEE N2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEEE N2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11ReLUFunctorEEENS_14DefaultDeleterIS5_EEEE N2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12ReLU6FunctorEEENS_14DefaultDeleterIS5_EEEE N2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11TanHFunctorEEENS_14DefaultDeleterIS5_EEEE N2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_14SigmoidFunctorEEENS_14DefaultDeleterIS5_EEEE N2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_10ELUFunctorEEENS_14DefaultDeleterIS5_EEEE N2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_13AbsValFunctorEEENS_14DefaultDeleterIS5_EEEE N2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11BNLLFunctorEEENS_14DefaultDeleterIS5_EEEE N2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12PowerFunctorEEENS_14DefaultDeleterIS5_EEEE N2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_20ChannelsPReLUFunctorEEENS_14DefaultDeleterIS5_EEEE ELUForward -DRELU_NO_SLOPE ReLUForward kernel.run(1, &gSize, NULL, false) src.size == dst.size && src.type() == dst.type() && src.isContinuous() && dst.isContinuous() && src.type() == CV_32F src.isContinuous() && dst.isContinuous() && !src.offset && !dst.offset initKernel(kernel, src) TanHForward PowForward ReLU6Forward AbsValForward SigmoidForward PReLUForward power scale shift min_value max_value minValue <= maxValue params.blobs.size() == 1 negative_slope /home/yhc/workspace/opencv/opencv-src/modules/dnn/include/opencv2/dnn/dnn.inl.hpp (idx == -1 && size() == 1) || (idx >= 0 && idx < size()) short half -DT=%s -Dconvert_T=convert_%s start <= (int)shape.size() && end <= (int)shape.size() && start <= end /home/yhc/workspace/opencv/opencv-src/modules/dnn/include/opencv2/dnn/shape_utils.hpp scale.isContinuous() && scale.type() == CV_32F /home/yhc/workspace/opencv/opencv-src/modules/dnn/src/layers/elementwise_layers.cpp 0 <= cn0 && cn0 < cn1 && cn1 <= (int)scale.total() applyOCL applyOCL applyOCL applyOCL applyOCL ReLU6Functor applyOCL applyOCL forward forward forward forward forward forward forward forward forward applyOCL create total apply get<double> size GCC: (Linaro GCC 6.3-2017.05) 6.3.1 20170404 zR x , @ T h | ¤ ¸ Ì à ô 0 D X l ¨ \ ¼ Ð ä ø 4 H \ p ¬ À Ô è p ü $ 8 L ` t ° Ä Ø ì ( < P d x ´ È Ü ð , @ T Ð vbÞ p ¬ À Ô è ü $ , AIÞÓ D , AIÞÓ d , AIÞÓ , AIÞÓ ¤ , AIÞÓ Ä , AIÞÓ ä , AIÞÓ , AIÞÓ $ , AIÞÓ D A \ ô p ACÞ ACÞ ¨ ACÞ Ä ACÞ à ACÞ ü ACÞ ACÞ 4 ACÞ P ACÞ l ( AHÞÓ ´ ( AHÞÓ Ô è ( AHÞÓ ( AHÞÓ < P ( AHÞÓ p ( AHÞÓ ¤ ¸ ( AHÞÓ Ø ì ( AHÞÓ
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_ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_10ELUFunctorEEENS_14DefaultDeleterIS5_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_10ELUFunctorEEENS_14DefaultDeleterIS5_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_14SigmoidFunctorEEENS_14DefaultDeleterIS5_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_14SigmoidFunctorEEENS_14DefaultDeleterIS5_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11TanHFunctorEEENS_14DefaultDeleterIS5_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11TanHFunctorEEENS_14DefaultDeleterIS5_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12ReLU6FunctorEEENS_14DefaultDeleterIS5_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12ReLU6FunctorEEENS_14DefaultDeleterIS5_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11ReLUFunctorEEENS_14DefaultDeleterIS5_EEED2Ev 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_ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE9tryAttachERKNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEE _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE7tryFuseERNS_3PtrINS0_23experimental_dnn_34_v115LayerEEE _ZNK2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE13getScaleShiftERNS_3MatES5_ _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE14supportBackendEi _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE9tryAttachERKNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEE _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE7tryFuseERNS_3PtrINS0_23experimental_dnn_34_v115LayerEEE _ZNK2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE13getScaleShiftERNS_3MatES5_ _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE14supportBackendEi _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE10initHalideERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS8_EE _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE9tryAttachERKNS_3PtrINS0_23experimental_dnn_34_v1111BackendNodeEEE _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE7tryFuseERNS_3PtrINS0_23experimental_dnn_34_v115LayerEEE _ZNK2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE13getScaleShiftERNS_3MatES5_ 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_ZTVN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE5PBodyE _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE5PBodyD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE5PBodyD0Ev _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyD2Ev _ZTVN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyE _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyD0Ev _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyD2Ev _ZTVN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyE _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyD0Ev _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyD2Ev _ZTVN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyE _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyD0Ev _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyD2Ev _ZTVN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyE _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyD0Ev _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEED2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1115ActivationLayerE _ZN2cv3dnn23experimental_dnn_34_v115LayerD2Ev _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEED0Ev _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEED0Ev _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEED0Ev _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEED0Ev _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEED0Ev _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEED0Ev _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEED0Ev _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEED0Ev _ZNK2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE12forwardSliceEPKfPfimii powf _ZNK2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE12forwardSliceEPKfPfimii _ZNK2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE12forwardSliceEPKfPfimii expf _ZNK2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE12forwardSliceEPKfPfimii _ZNK2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE12forwardSliceEPKfPfimii logf _ZNK2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyclERKNS_5RangeE tanhf _ZNK2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE12forwardSliceEPKfPfimii _ZNK2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyclERKNS_5RangeE _ZNK2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyclERKNS_5RangeE _ZNK2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE5PBodyclERKNS_5RangeE _ZNK2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyclERKNS_5RangeE _ZNK2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE5PBodyclERKNS_5RangeE _ZNK2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE5PBodyclERKNS_5RangeE _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEED0Ev DW.ref.__gxx_personality_v0 _ZTVN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEEE _ZN2cv4UMatD1Ev _ZN2cv8fastFreeEPv _ZN2cv3Mat10deallocateEv _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEED2Ev _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEED1Ev _ZN2cv3ocl9typeToStrEi strlen _ZN2cv6formatEPKcz _ZN2cv6String10deallocateEv _ZN2cv6String8allocateEm memcpy strcmp _Unwind_Resume _ZN2cv6StringC2EPKc _ZN2cv6StringC1EPKc _ZNK2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE12forwardSliceEPKfPfimii _ZNK2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE5PBodyclERKNS_5RangeE _ZNK2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZNK2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE8getFLOPSERKSt6vectorIS4_IiSaIiEESaIS6_EESA_ _ZN2cv6detail8PtrOwner6decRefEv _ZN2cv3MatD2Ev _ZN2cv3MatD1Ev _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE7tryFuseERNS_3PtrINS0_23experimental_dnn_34_v115LayerEEE _ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv _ZdaPv _ZdaPvm _ZNK2cv3dnn12PowerFunctor13getScaleShiftERNS_3MatES3_ _ZN2cv3Mat6createEiPKii _ZN2cv3MataSERKNS_7Scalar_IdEE _ZNK2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE13getScaleShiftERNS_3MatES5_ _ZN2cv3dnn23experimental_dnn_34_v119ReLULayer6createERKNS1_11LayerParamsE _Znwm _ZN2cv3dnn23experimental_dnn_34_v115LayerC2Ev _ZTVN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEEE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11ReLUFunctorEEENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn23experimental_dnn_34_v115Layer13setParamsFromERKNS1_11LayerParamsE strtod 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_ZN2cv3dnn23experimental_dnn_34_v118AbsLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEEE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_13AbsValFunctorEEENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn23experimental_dnn_34_v119BNLLLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEEE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11BNLLFunctorEEENS_14DefaultDeleterIS5_EEEE _ZN2cv3dnn23experimental_dnn_34_v1110PowerLayer6createERKNS1_11LayerParamsE _ZTVN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEEE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12PowerFunctorEEENS_14DefaultDeleterIS5_EEEE _ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev _ZdlPv _ZNSt6vectorIN2cv4UMatESaIS1_EED1Ev _ZNSt6vectorIN2cv3MatESaIS1_EED2Ev _ZNSt6vectorIN2cv3MatESaIS1_EED1Ev _ZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv5utils5trace7details6RegionC1ERKNS3_21LocationStaticStorageE _ZN2cv3ocl17isOpenCLActivatedEv _ZNK2cv11_InputArray5depthEi _ZNK2cv11_InputArray12getMatVectorERSt6vectorINS_3MatESaIS2_EE _ZN2cv5utils5trace7details6Region7destroyEv _ZN2cv13getNumThreadsEv _ZN2cv13parallel_for_ERKNS_5RangeERKNS_16ParallelLoopBodyEd _ZNK2cv11_InputArray13getUMatVectorERSt6vectorINS_4UMatESaIS2_EE _ZN2cv3ocl6KernelC1Ev _ZN2cv3ocl3dnn18activations_oclsrcE _ZNK2cv3ocl8internal12ProgramEntrycvRNS0_13ProgramSourceEEv _ZN2cv3ocl6Kernel6createEPKcRKNS0_13ProgramSourceERKNS_6StringEPS7_ _ZN2cv3ocl6Kernel3setEiPKvm _ZN2cv3ocl9KernelArgC1EiPNS_4UMatEiiPKvm _ZN2cv3ocl6Kernel3setEiRKNS0_9KernelArgE _ZN2cv3ocl5QueueC1Ev _ZN2cv3ocl6Kernel3runEiPmS2_bRKNS0_5QueueE _ZN2cv3ocl5QueueD1Ev _ZN2cv3ocl6KernelD1Ev _ZN2cv3dnn23experimental_dnn_34_v115Layer16forward_fallbackERKNS_11_InputArrayERKNS_12_OutputArrayES8_ _ZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZNK2cv3Mat6copyToERKNS_12_OutputArrayE _ZN2cv3ocl6KernelC1EPKcRKNS0_13ProgramSourceERKNS_6StringEPS7_ memmove _ZSt17__throw_bad_allocv _ZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_ _ZZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E25__cv_trace_location_fn184 _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD1Ev _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ _ZSt18_Rb_tree_decrementPSt18_Rb_tree_node_base _ZSt29_Rb_tree_insert_and_rebalancebPSt18_Rb_tree_node_baseS0_RS_ _Znam __cxa_begin_catch __cxa_rethrow __cxa_end_catch __cxa_throw_bad_array_new_length _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE7_M_copyINSD_11_Alloc_nodeEEEPSt13_Rb_tree_nodeIS7_EPKSH_PSt18_Rb_tree_node_baseRT_ _ZN2cv3dnn23experimental_dnn_34_v1118ChannelsPReLULayer6createERKNS1_11LayerParamsE _ZTVN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_20ChannelsPReLUFunctorEEENS_14DefaultDeleterIS5_EEEE _ZN2cv3Mat8copySizeERKS0_ _ZN2cv4UMat8copySizeERKS0_ _ZN2cv4UMat10deallocateEv _ZNSt8ios_base4InitC1Ev _ZNSt8ios_base4InitD1Ev __dso_handle __cxa_atexit _ZTSN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE5PBodyE _ZTVN10__cxxabiv120__si_class_type_infoE _ZTIN2cv16ParallelLoopBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE5PBodyE _ZTSN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE5PBodyE _ZTIN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE5PBodyE _ZZN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZZN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEE7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES9_E31__cv_trace_location_extra_fn184 _ZTSN2cv6detail8PtrOwnerE 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_ZTIN2cv3dnn23experimental_dnn_34_v118AbsLayerE _ZTSN2cv3dnn23experimental_dnn_34_v1110PowerLayerE _ZTIN2cv3dnn23experimental_dnn_34_v1110PowerLayerE _ZTSN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_11ReLUFunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_12ReLU6FunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_11TanHFunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_14SigmoidFunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_10ELUFunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_13AbsValFunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_11BNLLFunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_12PowerFunctorEEE _ZTSN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEEE _ZTIN2cv3dnn16ElementWiseLayerINS0_20ChannelsPReLUFunctorEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11ReLUFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11ReLUFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12ReLU6FunctorEEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_12ReLU6FunctorEEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11TanHFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_11TanHFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_14SigmoidFunctorEEENS_14DefaultDeleterIS5_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_14SigmoidFunctorEEENS_14DefaultDeleterIS5_EEEE 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_ZTIN2cv6detail12PtrOwnerImplINS_3dnn16ElementWiseLayerINS2_20ChannelsPReLUFunctorEEENS_14DefaultDeleterIS5_EEEE _ZNK2cv9Algorithm4saveERKNS_6StringE _ZNK2cv9Algorithm14getDefaultNameEv _ZN2cv3dnn23experimental_dnn_34_v115Layer8finalizeERKSt6vectorIPNS_3MatESaIS5_EERS3_IS4_SaIS4_EE _ZN2cv3dnn23experimental_dnn_34_v115Layer8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE _ZN2cv3dnn23experimental_dnn_34_v115Layer7forwardERSt6vectorIPNS_3MatESaIS5_EERS3_IS4_SaIS4_EESB_ _ZN2cv3dnn23experimental_dnn_34_v115Layer7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES8_ _ZN2cv3dnn23experimental_dnn_34_v115Layer16inputNameToIndexENS_6StringE _ZN2cv3dnn23experimental_dnn_34_v115Layer17outputNameToIndexERKNS_6StringE _ZN2cv3dnn23experimental_dnn_34_v115Layer14supportBackendEi _ZN2cv3dnn23experimental_dnn_34_v115Layer10initHalideERKSt6vectorINS_3PtrINS1_14BackendWrapperEEESaIS6_EE _ZN2cv3dnn23experimental_dnn_34_v115Layer13initInfEngineERKSt6vectorINS_3PtrINS1_14BackendWrapperEEESaIS6_EE 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0 <= startDim && startDim <= endDim /home/yhc/workspace/opencv/opencv-src/modules/core/include/opencv2/core/mat.inl.hpp srcMat.dims == 2 && srcMat.cols == weights.cols && dstMat.rows == srcMat.rows && dstMat.cols == weights.rows && srcMat.type() == weights.type() && weights.type() == dstMat.type() && srcMat.type() == CV_32F && (biasMat.empty() || (biasMat.type() == srcMat.type() && biasMat.isContinuous() && (int)biasMat.total() == dstMat.cols)) /home/yhc/workspace/opencv/opencv-src/modules/dnn/src/layers/fully_connected_layer.cpp num_output Required argument " " not found into dictionary /home/yhc/workspace/opencv/opencv-src/modules/dnn/include/opencv2/dnn/dnn.inl.hpp fracpart == 0.0 bias_term axis 1 <= blobs.size() && blobs.size() <= 2 (idx == -1 && size() == 1) || (idx >= 0 && idx < size()) blobs[0].dims >= 2 && (size_t)(innerSize * numOutput) == blobs[0].total() !bias || (blobs.size() == 2 && (size_t)numOutput == blobs[1].total()) inputs.size() == 1 blobs[0].dims == 2 !bias || (size_t)numOutput == blobs[1].total() start <= (int)shape.size() && end <= (int)shape.size() && start <= end /home/yhc/workspace/opencv/opencv-src/modules/dnn/include/opencv2/dnn/shape_utils.hpp vector::_M_default_append vector::_M_fill_insert run FullyConnectedLayerImpl total total getMemoryShapes get get<long int> size name GCC: (Linaro GCC 6.3-2017.05) 6.3.1 20170404 zR x , @ T h | ¤ ¸ Ì à ô $ CG
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À ó{¿© s ઠáªó{Á¨ @ùB virtual void cv::dnn::LRNLayerImpl::forward(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays) N2cv6detail8PtrOwnerE N2cv3dnn23experimental_dnn_34_v118LRNLayerE N2cv3dnn12LRNLayerImpl10ChannelLRNE N2cv3dnn12LRNLayerImplE N2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn10OCL4DNNLRNIfEENS_14DefaultDeleterIS5_EEEE N2cv6detail12PtrOwnerImplINS_3dnn12LRNLayerImplENS_14DefaultDeleterIS3_EEEE CHECK size % 2=1 LRN only supports odd values for local_size FAILED: . 4=inputs[0].dims Input must have 4 axes, corresponding to (num, channels, height, width) basic_string::_M_construct null not valid m.dims > 2 /home/yhc/workspace/opencv/opencv-src/modules/core/include/opencv2/core/mat.inl.hpp Step must be a multiple of esz1 total() == 0 || data != NULL inputs_arr.total() == outputs_arr.total() inputs.size() == outputs.size() inputs[i].dims == 4 Unimplemented mode of LRN layer norm_region ACROSS_CHANNELS isString() /home/yhc/workspace/opencv/opencv-src/modules/dnn/include/opencv2/dnn/dnn.inl.hpp WITHIN_CHANNEL Unknown region type " " local_size fracpart == 0.0 LRN layer supports only positive odd values for local_size alpha beta bias norm_by_size (idx == -1 && ps->size() == 1) || (idx >= 0 && idx < (int)ps->size()) (idx == -1 && size() == 1) || (idx >= 0 && idx < size()) inputs.size() > 0 /home/yhc/workspace/opencv/opencv-src/modules/dnn/src/layers/lrn_layer.cpp start <= (int)shape.size() && end <= (int)shape.size() && start <= end /home/yhc/workspace/opencv/opencv-src/modules/dnn/include/opencv2/dnn/shape_utils.hpp Mat forward_ocl forward LRNLayerImpl total getPlane getFLOPS get<cv::String> get<double> get<long int> size name GCC: (Linaro GCC 6.3-2017.05) 6.3.1 20170404 zR x , @ T h | ¤ ¸ Ì à ô $ AGÞÓ ( < ( AHÞÓ \ A t ( AHÞÓ ¨ @ zPLR x d A
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ó{¿© s ઠáªó{Á¨ @ùB virtual void cv::dnn::PoolingLayerImpl::forward(cv::InputArrayOfArrays, cv::OutputArrayOfArrays, cv::OutputArrayOfArrays) N2cv6detail8PtrOwnerE N2cv3dnn23experimental_dnn_34_v1112PoolingLayerE N2cv3dnn16PoolingLayerImpl14PoolingInvokerE N2cv3dnn16PoolingLayerImplE N2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn11OCL4DNNPoolIfEENS_14DefaultDeleterIS5_EEEE N2cv6detail12PtrOwnerImplINS_3dnn16PoolingLayerImplENS_14DefaultDeleterIS3_EEEE Î inputs.size() == 1 !outputs.empty() inpMat.offset == 0 && outMat.offset == 0 !computeMaxIdx || outputs.size() == 2 src.isContinuous() dst.isContinuous() src.type() == 5 src.type() == dst.type() src.dims == 4 dst.dims == 4 (mask.empty() || (mask.type() == src.type() && mask.size == dst.size)) outputs.size() == 1 inputs.size() == 2 Not implemented (((poolingType == ROI || poolingType == PSROI) && dst.size[0] == rois.size[0]) || src.size[0] == dst.size[0]) poolingType == PSROI || src.size[1] == dst.size[1] !inputs.empty() pool kernel_size kernel_w kernel_h max isString() /home/yhc/workspace/opencv/opencv-src/modules/dnn/include/opencv2/dnn/dnn.inl.hpp ave stochastic Unknown pooling type " " pooled_w pooled_h fracpart == 0.0 output_dim group_size Required argument " " not found into dictionary Cannot determine pooling type ceil_mode spatial_scale ave_pool_padded_area (idx == -1 && ps->size() == 1) || (idx >= 0 && idx < (int)ps->size()) (idx == -1 && size() == 1) || (idx >= 0 && idx < size()) ofsbuf should be initialized in this mode /home/yhc/workspace/opencv/opencv-src/modules/dnn/src/layers/pooling_layer.cpp roisData[0] < src->size[0] inputs.size() != 0 (out.height - 1) * stride.height < in.height + pad_b (out.width - 1) * stride.width < in.width + pad_r psRoiOutChannels * pooledSize.width * pooledSize.height == inputs[0][1] numOutputs == 1 || (numOutputs == 2 && type == MAX) start <= (int)shape.size() && end <= (int)shape.size() && start <= end /home/yhc/workspace/opencv/opencv-src/modules/dnn/include/opencv2/dnn/shape_utils.hpp vector::_M_default_append forward_ocl run forward finalize PoolingLayerImpl total operator() getMemoryShapes get get<cv::String> get<double> get<long int> size name GCC: (Linaro GCC 6.3-2017.05) 6.3.1 20170404 zR x , @ T h | ¤ ¸ Ì à ô 0 , AIÞÓ P A zPLR x $ AGÞÓ D 0 AJÞÓ , Ì ¨ OO ÓÞBBÞÓ F ü < A BJÔÓÞ 8 ALÞÓ Ü x AW
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_ZZNK2cv3dnn23experimental_dnn_34_v119DictValue4sizeEvE8__func__ _ZN2cv6detail12PtrOwnerImplINS_3dnn15InterpLayerImplENS_14DefaultDeleterIS3_EEED5Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15ResizeLayerImplENS_14DefaultDeleterIS3_EEED5Ev _ZN2cv3dnn23experimental_dnn_34_v1111ResizeLayerD5Ev _ZN2cv3dnn15ResizeLayerImplD5Ev _ZN2cv3dnn15InterpLayerImplD5Ev _ZN2cv6StringC5EPKc _ZN2cv3MatD5Ev _ZN2cv3dnn15ResizeLayerImplC5ERKNS0_23experimental_dnn_34_v1111LayerParamsE _ZNSt6vectorIN2cv3MatESaIS1_EED5Ev _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD5Ev _ZN2cv9Algorithm5clearEv _ZNK2cv9Algorithm5writeERNS_11FileStorageE _ZN2cv9Algorithm4readERKNS_8FileNodeE _ZNK2cv9Algorithm5emptyEv _ZNK2cv3dnn23experimental_dnn_34_v115Layer8getFLOPSERKSt6vectorIS3_IiSaIiEESaIS5_EES9_ _ZN2cv3dnn15ResizeLayerImpl14supportBackendEi _ZN2cv3dnn15ResizeLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv3dnn15InterpLayerImpl14supportBackendEi _ZN2cv3dnn15InterpLayerImpl13initInfEngineERKSt6vectorINS_3PtrINS0_23experimental_dnn_34_v1114BackendWrapperEEESaIS6_EE _ZN2cv6detail12PtrOwnerImplINS_3dnn15InterpLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15InterpLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15ResizeLayerImplENS_14DefaultDeleterIS3_EEED2Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15ResizeLayerImplENS_14DefaultDeleterIS3_EEED1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15ResizeLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZdlPvm _ZN2cv6detail12PtrOwnerImplINS_3dnn15InterpLayerImplENS_14DefaultDeleterIS3_EEED0Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn15ResizeLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv _ZN2cv5errorEiRKNS_6StringEPKcS4_i _ZN2cv3dnn23experimental_dnn_34_v1111ResizeLayerD2Ev _ZTVN2cv3dnn23experimental_dnn_34_v1111ResizeLayerE _ZN2cv3dnn23experimental_dnn_34_v115LayerD2Ev _ZN2cv3dnn23experimental_dnn_34_v1111ResizeLayerD1Ev 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.rela.text._ZN2cv6detail12PtrOwnerImplINS_3dnn15ResizeLayerImplENS_14DefaultDeleterIS3_EEED0Ev .rela.text._ZN2cv6detail12PtrOwnerImplINS_3dnn15InterpLayerImplENS_14DefaultDeleterIS3_EEED0Ev .rela.text._ZN2cv6detail12PtrOwnerImplINS_3dnn15ResizeLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv .rela.text._ZN2cvL13errorNoReturnEiRKNS_6StringEPKcS4_i .rela.text._ZN2cv3dnn23experimental_dnn_34_v1111ResizeLayerD2Ev .rela.text._ZN2cv3dnn23experimental_dnn_34_v1111ResizeLayerD0Ev .rela.text._ZN2cv3dnn15ResizeLayerImplD2Ev .gcc_except_table._ZN2cv3dnn15ResizeLayerImplD2Ev .rela.text._ZN2cv3dnn15ResizeLayerImplD0Ev .gcc_except_table._ZN2cv3dnn15ResizeLayerImplD0Ev .rela.text._ZN2cv3dnn15InterpLayerImplD2Ev .gcc_except_table._ZN2cv3dnn15InterpLayerImplD2Ev .rela.text._ZN2cv3dnn15InterpLayerImplD0Ev .gcc_except_table._ZN2cv3dnn15InterpLayerImplD0Ev .rela.text._ZN2cv6detail12PtrOwnerImplINS_3dnn15InterpLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv .gcc_except_table._ZN2cv6detail12PtrOwnerImplINS_3dnn15InterpLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv .rela.text._ZN2cv6StringC2EPKc .rela.text._ZN2cvplEPKcRKNS_6StringE .gcc_except_table._ZN2cvplEPKcRKNS_6StringE .rela.text._ZN2cv3MatD2Ev .gcc_except_table._ZN2cv3MatD2Ev .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv .rela.text._ZN2cv3dnn15ResizeLayerImplC2ERKNS0_23experimental_dnn_34_v1111LayerParamsE .gcc_except_table._ZN2cv3dnn15ResizeLayerImplC2ERKNS0_23experimental_dnn_34_v1111LayerParamsE .rela.text._ZN2cv3dnn23experimental_dnn_34_v1111ResizeLayer6createERKNS1_11LayerParamsE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1111ResizeLayer6createERKNS1_11LayerParamsE .rela.text._ZNSt6vectorIN2cv3MatESaIS1_EED2Ev .gcc_except_table._ZNSt6vectorIN2cv3MatESaIS1_EED2Ev .rela.text._ZN2cv3dnn15ResizeLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ .gcc_except_table._ZN2cv3dnn15ResizeLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ .rela.text._ZN2cv3dnn15ResizeLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE .gcc_except_table._ZN2cv3dnn15ResizeLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE .rela.text._ZN2cv3dnn15InterpLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE .gcc_except_table._ZN2cv3dnn15InterpLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E .rela.text._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev 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_ZN2cv3dnn23experimental_dnn_34_v115Layer13unsetAttachedEv _ZZN2cv3dnn23ShuffleChannelLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E27__cv_trace_arg_extra_name93 _ZZN2cv3dnn23ShuffleChannelLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E30__cv_trace_location_extra_fn92 ¼ ¾ ¾ ¿ ¾ ¾ ¿ $ ¼ Ä Ä ( Å 4 Å < ¾ X ¾ d ¾ p ¿ ¼ Æ Æ ´ Ä À Å Ì Å Ô ¾ ð ¾ ü ¾ ¿ ¼ ¼ < Æ X Ä d Å p Å ¾ ¾ ¨ ¿ ´ ¼ À ¼ Ä Ä ( Å 4 Å < ¾ X ¾ d ¾ ¿ Æ Æ ¬ Ä ¸ Å Ä Å Ì ¾ è ¾ ô ¾ ¿ ¼ ¾ ¼ 8 ¿ T Æ p Ä | Å Å ° ¾ ´ ¾ À ¿ Ì ¼ Ø ¼ $ Ä ( Ä 4 Å @ Å H ¾ d ¾ p ¾ | ¿ ¼ ¨ ¼ ´ Æ ¸ Æ Ô Ä à Å ì Å ô ¾ ¾ ¾ ( ¿ 4 ¼ @ ¼ L Æ h Ä t Å Å ¨ ¾ ¬ ¾ ¸ ¿ Ä ¼ Ð ¼ Ë @ Ì T Í , q x 4 q x 8 Î < q @ u H q L u X Ð Ñ ¬ q ´ q ¸ Î ¼ q À u È q Ì u Ø Ð è Ò ð Ó ü Ò Ó < Æ @ Æ \ Ä ` Ä l Å x Å Ô ¾ ¾ ¿ ¤ ¼ ¸ ¼ x Ö × T Ú l ¼ ´ Ò Ô Û ì Ò ¼ $ Ý , Þ 4 Ä 8 Ä d Ì h o l o o o ¼ ß è o ð o ü ß o $ { , o 0 { @ Ð Ò à Ý ¨ á ° á ì o x ô o x ø Î ü o x o x Ð T o X o p â o o ã À Ò È Ò Ô Å à Å ì Ô ð ¾ ô ¾ ¿ ¼ Ó o h $ o h ( Î , o 0 x 8 o < x H Ð d Ò Ò @ × Ö ¬ Å ç @ 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.gcc_except_table._ZN2cv3dnn23ShuffleChannelLayerImplD2Ev .rela.text._ZN2cv6detail12PtrOwnerImplINS_3dnn23ShuffleChannelLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv .gcc_except_table._ZN2cv6detail12PtrOwnerImplINS_3dnn23ShuffleChannelLayerImplENS_14DefaultDeleterIS3_EEE10deleteSelfEv .rela.text._ZN2cv6StringC2EPKc .rela.text._ZNK2cv3dnn23ShuffleChannelLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ .gcc_except_table._ZNK2cv3dnn23ShuffleChannelLayerImpl15getMemoryShapesERKSt6vectorIS2_IiSaIiEESaIS4_EEiRS6_S9_ .rela.text._ZN2cv6detail8PtrOwner6decRefEv .gcc_except_table._ZN2cv6detail8PtrOwner6decRefEv .rela.text._ZN2cv3MatD2Ev .gcc_except_table._ZN2cv3MatD2Ev .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv .rela.text._ZN2cv3dnn23experimental_dnn_34_v1119ShuffleChannelLayer6createERKNS1_11LayerParamsE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1119ShuffleChannelLayer6createERKNS1_11LayerParamsE .rela.text._ZNSt6vectorIN2cv3MatESaIS1_EED2Ev .gcc_except_table._ZNSt6vectorIN2cv3MatESaIS1_EED2Ev .rela.text._ZNSt6vectorIN2cv4UMatESaIS1_EED2Ev .rela.text._ZN2cv3dnn23ShuffleChannelLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ .gcc_except_table._ZN2cv3dnn23ShuffleChannelLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_ .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E .rela.text._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev .rela.text._ZNSt6vectorIiSaIiEE17_M_default_appendEm .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ .rela.text._ZN2cv3dnn23ShuffleChannelLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE .gcc_except_table._ZN2cv3dnn23ShuffleChannelLayerImpl8finalizeERKNS_11_InputArrayERKNS_12_OutputArrayE .rodata._ZZN2cv3dnn23ShuffleChannelLayerImpl7forwardERKNS_11_InputArrayERKNS_12_OutputArrayES7_E19__PRETTY_FUNCTION__ .rodata._ZTSN2cv6detail8PtrOwnerE .rela.data.rel.ro._ZTIN2cv6detail8PtrOwnerE .rodata._ZTSN2cv3dnn23experimental_dnn_34_v1119ShuffleChannelLayerE .rela.data.rel.ro._ZTIN2cv3dnn23experimental_dnn_34_v1119ShuffleChannelLayerE .rodata._ZTSN2cv3dnn23ShuffleChannelLayerImplE 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ù` 5@@¹ ¹AB©©oÿÿáªàª ôÿÿ@@¹ ù`*¹ãÿÿóS¾© þ ùઠs áªâª @ù ઠâªáª @ù c d ⪠᪠¹ ©d|©þ @ùóS¨ N2cv6detail8PtrOwnerE N2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigENS_14DefaultDeleterIS6_EEEE N2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamENS_14DefaultDeleterIS6_EEEE FAILED: . ] FP16 FP32 k x cn g s d b in p num M activ eltwise _EU %d KERNEL_WIDTH KERNEL_HEIGHT STRIDE_X STRIDE_Y DILATION_X DILATION_Y INPUT_PAD_W INPUT_PAD_H INPUT_PAD_RIGHT INPUT_PAD_BOTTOM Kernel: test verification failed @ image group out_ch h w (offset: ) got expected roi = [ x from ( , )] errors= mat_top = verify_top = ocl4dnn tuning verification failed: %s (errors %lld) Results dump failed: Results dump failed options.size() != 0 Failed to compile kernel: , buildflags: , errmsg: phash.find(bestKernelConfig->kernelName) != phash.end() total() == 0 || data != NULL /home/yhc/workspace/opencv/opencv-src/modules/core/include/opencv2/core/mat.inl.hpp copyWeightsSwizzled_float Swizzle kernel run failed. CHECK tmpSwizzledWeight != NULL=true Failed to allocate temporary swizzled weight interleavedRows % 2=0 interleaveMatrix only supports even values for interleavedRows. Benchmarking kernel: Estimated Gflops: Estimated GFLOPS/S: OpenCV(ocl4dnn): Can't get OpenCL default queue for auto-tuning. Failed to create sub buffer. OpenCV(ocl4dnn): consider to specify kernel configuration cache directory via OPENCV_OCL4DNN_CONFIG_PATH parameter. tuned_ /home/yhc/workspace/opencv/opencv-src/modules/dnn/src/ocl4dnn/src/ocl4dnn_conv_spatial.cpp / FUSED_CONV_ELTWISE FUSED_CONV_RELU FUSED_CONV_PRELU FUSED_CONV_POWER FUSED_CONV_TANH FUSED_CONV_RELU6 OPENCV_OCL4DNN_WORKAROUND_IDLF DNN(workaround): skip IDLF kernel: defaultConfigLoaded == false kernelConfigMap.empty() Intel(R) Corporation_ basic_string::append Kernel failed verification workItem= , kernelType: global_work_size= local_work_size= Kernel < > passed verification Convolution Time: fallback to basic kernel phash.find(kernelQueue[x]->kernelName) != phash.end() OPENCV_OCL4DNN_TEST_ALL_KERNELS Failed on test iteration: phash.find(kernelQueue[j]->kernelName) != phash.end() phash.find(kernelQueue[kernel_index_]->kernelName) != phash.end() _SIMD8 _SIMD16 IDLF_ -cl-fast-relaxed-math -D KERNEL_IDLF -D convolve_simd= -cl-mad-enable -cl-no-subgroup-ifp SIMD_SIZE -cl-no-subgroup-ifp OUT_BLOCK_WIDTH OUT_BLOCK_HEIGHT INPUT_DEPTH TOTAL_INPUT_DEPTH_SIZE TOTAL_OUTPUT_DEPTH NUM_FILTERS TILE_X TILE_Y INVEC_SIZE ALIGNED_NUM_FILTERS OUT_BLOCK_SIZE APPLY_BIAS WEIGHT_PREF INPUT_PITCH OUTPUT_PITCH LEFT_FILTERS INPUT_WIDTH INPUT_HEIGHT FILTERS_IN_GROUP KERNEL_BASIC BASIC_ -cl-fast-relaxed-math -D ConvolveBasic= CHANNELS OUTPUT_Z ZPAR U_GEMM_LIKE_CONV_ GEMM_LIKE_CONV_ -cl-fast-relaxed-math -D Conv_Interleaved= KERNEL_GEMM_LIKE WIDTH1 OUT_PADDING_LEFT OUT_PADDING_HEIGHT OUT_DEPTH NUM_BATCHES DY DX KERNEL_WIDTH_DIV2 KERNEL_SLICE_DIV2 TILE_N_LAST TILE_N_LAST_DIV8 DWCONV_ KERNEL_DWCONV KERNEL_SIZE KERNEL_W KERNEL_H -D DWCONV= _ z == 16 || z == 8=true invalid SIMD size Failed setup kernel by config: x = y = z = type = 0 && "Internal error" TYPE half Dtype half2 Dtype2 half4 Dtype4 half8 Dtype8 half16 Dtype16 as_half as_Dtype as_half2 as_Dtype2 as_half4 as_Dtype4 as_half8 as_Dtype8 float float2 float4 float8 float16 as_float as_float2 as_float4 as_float8 OpenCV(ocl4dnn): The OpenCL compiler chose a simd size ( ) that does not equal the size ( ) kernel source required. Skip this kernel -D =(double) =(float) = IDLF kernel run failed. GEMM like kernel run failed. DWCONV kernel run failed. Basic kernel run failed. OPENCV_OCL4DNN_CONFIG_PATH OpenCV(ocl4dnn): Kernel configuration cache directory doesn't exist: OPENCV_OCL4DNN_DISABLE_AUTO_TUNING OPENCV_OCL4DNN_FORCE_AUTO_TUNING OPENCV_OCL4DNN_DUMP_FAILED_RESULT OPENCV_OCL4DNN_TUNING_RAISE_CHECK_ERROR basic_string::_M_construct null not valid Mat interleaveMatrix verifyResult compileKernel prepareKernel swizzleWeight saveTunedConfig setupConvolution useFirstAvailable calculateBenchmark setupKernelByConfig createConvolutionKernel initializeGlobalBuiltinConfigurations EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M16_activ1_eltwise0_FP16 11 1 16 2 1 1 16 1 0 EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0_FP16 14 1 16 2 1 1 16 1 0 EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0_FP16 EU48_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M96_activ1_eltwise0_FP16 EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0_FP16 EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0_FP16 EU48_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0_FP16 EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M16_activ1_eltwise0_FP16 8 1 8 2 1 1 8 1 0 EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0_FP16 EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP16 7 1 16 2 1 1 16 1 0 EU48_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M96_activ1_eltwise0_FP16 EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M112_activ1_eltwise0_FP16 EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP16 EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M144_activ1_eltwise0_FP16 EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP16 EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ1_eltwise0_FP16 7 1 8 2 1 1 8 1 0 EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP16 8 1 16 2 1 1 16 1 0 EU48_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP16 EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP16 EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP16 EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP16 EU48_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP16 6 1 16 2 1 1 16 1 0 EU48_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0_FP16 1 16 32 5 1 16 1 1 0 EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP16 EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP16 EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0_FP16 EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP16 EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP16 4 1 8 2 1 1 8 1 0 EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M384_activ1_eltwise0_FP16 EU48_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M48_activ1_eltwise0_FP16 EU48_k3x3_cn112_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M224_activ1_eltwise0_FP16 EU48_k3x3_cn128_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0_FP16 EU48_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M192_activ1_eltwise0_FP16 14 2 16 2 1 1 16 1 0 EU48_k3x3_cn144_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M288_activ1_eltwise0_FP16 EU48_k3x3_cn160_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M320_activ1_eltwise0_FP16 EU48_k3x3_cn192_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0_FP16 EU48_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M192_activ1_eltwise0_FP16 EU48_k3x3_cn96_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M208_activ1_eltwise0_FP16 EU48_k3x3_cn96_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0_FP16 EU48_k5x5_cn16_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M48_activ1_eltwise0_FP16 5 1 16 2 1 1 16 1 0 EU48_k5x5_cn16_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M32_activ1_eltwise0_FP16 EU48_k5x5_cn24_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0_FP16 EU48_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0_FP16 EU48_k5x5_cn32_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M64_activ1_eltwise0_FP16 EU48_k5x5_cn32_g1_s1x1_d1x1_b1_in32x32_p2x2_num1_M96_activ1_eltwise0_FP16 10 2 16 2 1 1 16 1 0 EU48_k5x5_cn48_g1_s1x1_d1x1_b1_in16x16_p2x2_num1_M128_activ1_eltwise0_FP16 EU48_k7x7_cn3_g1_s2x2_d1x1_b1_in224x224_p3x3_num1_M64_activ1_eltwise0_FP16 5 6 16 2 1 1 16 1 0 EU48_k11x11_cn3_g1_s4x4_d1x1_b1_in240x240_p0x0_num1_M96_activ1_eltwise0_FP16 2 8 16 2 1 1 16 1 0 EU48_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0_FP16 13 1 16 2 1 1 16 1 0 EU48_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M128_activ1_eltwise0_FP16 EU48_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M192_activ1_eltwise0_FP16 EU48_k5x5_cn96_g2_s1x1_d1x1_b1_in32x32_p2x2_num1_M128_activ1_eltwise0_FP16 9 2 16 2 1 1 16 1 0 EU24_k11x11_cn3_g1_s4x4_d1x1_b1_in240x240_p0x0_num1_M96_activ1_eltwise0_FP16 2 7 16 2 1 1 16 1 0 EU24_k1x1_cn1024_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP16 EU24_k1x1_cn1024_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M2048_activ0_eltwise0_FP16 7 4 16 2 1 1 16 1 0 EU24_k1x1_cn1024_g1_s2x2_d1x1_b1_in16x16_p0x0_num1_M512_activ1_eltwise0_FP16 EU24_k1x1_cn128_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M512_activ1_eltwise1_FP16 EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M16_activ1_eltwise0_FP16 EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0_FP16 EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0_FP16 10 3 16 2 1 1 16 1 0 EU24_k1x1_cn192_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M96_activ1_eltwise0_FP16 EU24_k1x1_cn2048_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M512_activ1_eltwise0_FP16 EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M1024_activ1_eltwise1_FP16 EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0_FP16 EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M32_activ1_eltwise0_FP16 EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M64_activ1_eltwise0_FP16 EU24_k1x1_cn256_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0_FP16 EU24_k1x1_cn256_g1_s2x2_d1x1_b1_in64x64_p0x0_num1_M128_activ1_eltwise0_FP16 8 4 16 2 1 1 16 1 0 EU24_k1x1_cn256_g1_s2x2_d1x1_b1_in64x64_p0x0_num1_M512_activ0_eltwise0_FP16 EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M16_activ1_eltwise0_FP16 EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0_FP16 EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP16 EU24_k1x1_cn480_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M96_activ1_eltwise0_FP16 7 2 16 2 1 1 16 1 0 EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M112_activ1_eltwise0_FP16 EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP16 EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M144_activ1_eltwise0_FP16 EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP16 EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M2048_activ1_eltwise1_FP16 EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M24_activ1_eltwise0_FP16 10 1 16 2 1 1 16 1 0 EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP16 9 1 16 2 1 1 16 1 0 EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M64_activ1_eltwise0_FP16 EU24_k1x1_cn512_g1_s1x1_d1x1_b1_in32x32_p0x0_num1_M128_activ1_eltwise0_FP16 EU24_k1x1_cn512_g1_s2x2_d1x1_b1_in32x32_p0x0_num1_M1024_activ0_eltwise0_FP16 8 3 16 2 1 1 16 1 0 EU24_k1x1_cn512_g1_s2x2_d1x1_b1_in32x32_p0x0_num1_M256_activ1_eltwise0_FP16 7 3 16 2 1 1 16 1 0 EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP16 EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP16 EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP16 EU24_k1x1_cn528_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP16 EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M256_activ0_eltwise0_FP16 EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M256_activ1_eltwise1_FP16 EU24_k1x1_cn64_g1_s1x1_d1x1_b1_in64x64_p0x0_num1_M64_activ1_eltwise0_FP16 EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M128_activ1_eltwise0_FP16 EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M160_activ1_eltwise0_FP16 EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M192_activ1_eltwise0_FP16 EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M256_activ1_eltwise0_FP16 EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M32_activ1_eltwise0_FP16 EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M384_activ1_eltwise0_FP16 EU24_k1x1_cn832_g1_s1x1_d1x1_b1_in16x16_p0x0_num1_M48_activ1_eltwise0_FP16 EU24_k3x3_cn112_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M224_activ1_eltwise0_FP16 EU24_k3x3_cn128_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0_FP16 EU24_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0_FP16 EU24_k3x3_cn128_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M192_activ1_eltwise0_FP16 EU24_k3x3_cn144_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M288_activ1_eltwise0_FP16 EU24_k3x3_cn160_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M320_activ1_eltwise0_FP16 EU24_k3x3_cn192_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0_FP16 EU24_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M256_activ1_eltwise0_FP16 EU24_k3x3_cn256_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M384_activ1_eltwise0_FP16 13 2 16 2 1 1 16 1 0 EU24_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M128_activ1_eltwise0_FP16 EU24_k3x3_cn384_g2_s1x1_d1x1_b1_in16x16_p1x1_num1_M192_activ1_eltwise0_FP16 EU24_k3x3_cn512_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M512_activ1_eltwise0_FP16 EU24_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M192_activ1_eltwise0_FP16 EU24_k3x3_cn64_g1_s1x1_d1x1_b1_in64x64_p1x1_num1_M64_activ1_eltwise0_FP16 EU24_k3x3_cn96_g1_s1x1_d1x1_b1_in16x16_p1x1_num1_M208_activ1_eltwise0_FP16 EU24_k3x3_cn96_g1_s1x1_d1x1_b1_in32x32_p1x1_num1_M128_activ1_eltwise0_FP16 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_ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE18calculateBenchmarkERKNS_4UMatERS4_S6_S6_i _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE10_M_replaceEmmPKcm _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEE7_M_syncEPcmm _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE18createDWConvKernelEiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE23createConvolutionKernelEiiii _ZN2cv3ocl13ProgramSourceC1Ev _ZN2cv3ocl13ProgramSourceD1Ev _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE19setupKernelByConfigEiiiiiiibb _ZNSo3putEc _ZNSo5flushEv _ZNKSt5ctypeIcE13_M_widen_initEv _ZSt16__throw_bad_castv _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE15loadTunedConfigEv _ZZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE15loadTunedConfigEvE5warn_ _ZTTSt14basic_ifstreamIcSt11char_traitsIcEE _ZTVSt14basic_ifstreamIcSt11char_traitsIcEE _ZNSirsERi _ZNSi10_M_extractIbEERSiRT_ _ZNSt14basic_ifstreamIcSt11char_traitsIcEED1Ev _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE16loadCachedConfigEv default_kernel_config_intel_fp32 _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE14_M_replace_auxEmmmc _ZSt20__throw_length_errorPKc _ZNSt6vectorIN2cv3PtrINS0_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamEEESaIS7_EE19_M_emplace_back_auxIJS7_EEEvDpOT_ _ZNSt6vectorIN2cv3PtrINS0_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamEEESaIS7_EE12emplace_backIJS7_EEEvDpOT_ _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE28generate_gemmlike_tuneritemsERSt6vectorINS_3PtrINS3_10tunerParamEEESaIS7_EEiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE24generate_idlf_tuneritemsERSt6vectorINS_3PtrINS3_10tunerParamEEESaIS7_EEiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE26generate_dwconv_tuneritemsERSt6vectorINS_3PtrINS3_10tunerParamEEESaIS7_EEiii _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE18generateTunerItemsERSt6vectorINS_3PtrINS3_10tunerParamEEESaIS7_EE _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE17useFirstAvailableERKNS_4UMatERS4_S6_S6_iS7_ _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE16setupConvolutionERKNS_4UMatERS4_S6_S6_iS7_ _ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEE3strERKNS_12basic_stringIcS2_S3_EE _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3ocl7ProgramEESt10_Select1stISB_ESt4lessIS5_ESaISB_EE8_M_eraseEPSt13_Rb_tree_nodeISB_E _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfEC2ENS1_17OCL4DNNConvConfigE _ZN2cv5utils31getConfigurationParameterStringEPKcS2_ __xstat _ZZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfEC4ENS1_17OCL4DNNConvConfigEE5warn_ _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfEC1ENS1_17OCL4DNNConvConfigE _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfED2Ev _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfED1Ev _ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3ocl7ProgramEESt10_Select1stISB_ESt4lessIS5_ESaISB_EE5eraseERS7_ _ZSt18_Rb_tree_incrementPKSt18_Rb_tree_node_base _ZSt28_Rb_tree_rebalance_for_erasePSt18_Rb_tree_node_baseRS_ _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13prepareKernelERKNS_4UMatERS4_S6_S6_i _ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE7ForwardERKNS_4UMatES6_S6_S6_RS4_i _ZN2cv4UMat8copySizeERKS0_ __dso_handle _ZNSt8ios_base4InitC1Ev _ZNSt8ios_base4InitD1Ev __cxa_atexit _ZN2cv5MutexC1Ev _ZN2cv5MutexD1Ev _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTVN10__cxxabiv117__class_type_infoE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigENS_14DefaultDeleterIS6_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigENS_14DefaultDeleterIS6_EEEE _ZTVN10__cxxabiv120__si_class_type_infoE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamENS_14DefaultDeleterIS6_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamENS_14DefaultDeleterIS6_EEEE default_kernel_config_intel_fp16 1 1 1 1 3 3 N N 0 5 8 @ D 6 L N T 3 X N \ 7 t 3 x 8 9 6 6 Q Q 0 5 8 @ D ; L Q P 6 X Q \ 7 t 6 x 8 9 < = h > ? 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.rela.text._ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag.isra.100 .rela.text._ZN2cv3dnn23experimental_dnn_34_v11L5shapeEPKii .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v11L5shapeEPKii .rela.text._ZN2cv6detail12PtrOwnerImplINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigENS_14DefaultDeleterIS6_EEE10deleteSelfEv .rela.text._ZN2cv6StringC2EPKc .text._ZN2cv6detail8PtrOwner6decRefEv .rela.text._ZN2cvlsERSoRKNS_3MatE .gcc_except_table._ZN2cvlsERSoRKNS_3MatE .rela.text._ZN2cv3MatD2Ev .gcc_except_table._ZN2cv3MatD2Ev .rela.text._ZN2cv3MataSEOS0_ .rela.text._ZN2cv4UMat7releaseEv .text._ZNK2cv4UMat5emptyEv .rela.text._ZN2cv3dnn11GLogWrapper5checkEv .gcc_except_table._ZN2cv3dnn11GLogWrapper5checkEv .rela.text._ZNSt4pairINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEES5_ED2Ev .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE15CreateSubBufferERKNS_4UMatERS4_iib .text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12setActivReLUEbf .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13setActivPReLUEbRSt6vectorIfSaIfEE .gcc_except_table._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13setActivPReLUEbRSt6vectorIfSaIfEE .text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13setActivPowerEbf .text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12setActivTanhEb .text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13setActivReLU6Ebff .text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE7setBiasEb .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE6addDefEPKc .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE6addDefEPKci .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE6addDefEPKcf .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE6addDefEPKcd .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE6addDefEPKcS5_ .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE24collectCommonInformationEv .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE15saveTunedConfigEv .gcc_except_table._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE15saveTunedConfigEv .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE15setFusionDefineENS1_19ocl4dnnFusedActiv_tEb .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12setFusionArgENS1_19ocl4dnnFusedActiv_tEbRNS_3ocl6KernelERj .text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamC2Eiiii .text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigC2Ev .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigC2ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPKmSE_PKibi .gcc_except_table._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigC2ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPKmSE_PKibi .rela.text._ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED2Ev .rela.text._ZN2cv3dnn23experimental_dnn_34_v11lsERSoRKSt6vectorIiSaIiEE.constprop.191 .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v11lsERSoRKSt6vectorIiSaIiEE.constprop.191 .rela.text._ZNSt7__cxx1118basic_stringstreamIcSt11char_traitsIcESaIcEEC1ESt13_Ios_Openmode.constprop.183 .gcc_except_table._ZNSt7__cxx1118basic_stringstreamIcSt11char_traitsIcESaIcEEC1ESt13_Ios_Openmode.constprop.183 .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE19generateSpecificKeyB5cxx11Eiiii .gcc_except_table._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE19generateSpecificKeyB5cxx11Eiiii .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE18setupKernelDetailsEiiii .gcc_except_table._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE18setupKernelDetailsEiiii .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE11setupKernelEv .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13swizzleWeightERKNS_4UMatEib .gcc_except_table._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13swizzleWeightERKNS_4UMatEib .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE11generateKeyEv .gcc_except_table._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE11generateKeyEv .rela.text._ZNSt7__cxx1115basic_stringbufIcSt11char_traitsIcESaIcEED0Ev .rela.text._ZN2cv7makePtrINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPmSC_PibNS2_30ocl4dnnConvSpatialKernelType_tEEENS_3PtrIT_EERKT0_RKT1_RKT2_RKT3_RKT4_RKT5_ .gcc_except_table._ZN2cv7makePtrINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12kernelConfigENSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPmSC_PibNS2_30ocl4dnnConvSpatialKernelType_tEEENS_3PtrIT_EERKT0_RKT1_RKT2_RKT3_RKT4_RKT5_ .rela.text._ZN2cv7makePtrINS_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamENS2_30ocl4dnnConvSpatialKernelType_tEiiiEENS_3PtrIT_EERKT0_RKT1_RKT2_RKT3_ .rela.text._ZNSt6vectorIN2cv3PtrINS0_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamEEESaIS7_EED2Ev .gcc_except_table._ZNSt6vectorIN2cv3PtrINS0_3dnn7ocl4dnn18OCL4DNNConvSpatialIfE10tunerParamEEESaIS7_EED2Ev .rela.text._ZNSt8_Rb_treeINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESt4pairIKS5_N2cv3ocl7ProgramEESt10_Select1stISB_ESt4lessIS5_ESaISB_EE4findERS7_ .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE8convolveERKNS_4UMatERS4_S6_S6_iPNS3_12kernelConfigE .gcc_except_table._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE8convolveERKNS_4UMatERS4_S6_S6_iPNS3_12kernelConfigE .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13timedConvolveERKNS_4UMatERS4_S6_S6_iPNS3_12kernelConfigE .rela.gcc_except_table._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE13timedConvolveERKNS_4UMatERS4_S6_S6_iPNS3_12kernelConfigE .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12verifyResultERKNS_4UMatERS4_S6_S6_iPNS3_12kernelConfigES7_ .rela.gcc_except_table._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12verifyResultERKNS_4UMatERS4_S6_S6_iPNS3_12kernelConfigES7_ .rela.text._ZN2cv3dnn7ocl4dnn18OCL4DNNConvSpatialIfE12verifyResultERKNS_4UMatERS4_S6_S6_iPNS3_12kernelConfigES7_.constprop.181 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.rela.text._ZN6google8protobuf13RepeatedFieldIlEC2ERKS2_ .rela.text._ZStplIcSt11char_traitsIcESaIcEENSt7__cxx1112basic_stringIT_T0_T1_EEPKS5_RKS8_ .gcc_except_table._ZStplIcSt11char_traitsIcESaIcEENSt7__cxx1112basic_stringIT_T0_T1_EEPKS5_RKS8_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v1112ONNXImporter7getBlobERKN11opencv_onnx9NodeProtoERKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_3MatESt4lessISD_ESaISt4pairIKSD_SE_EEEi .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1112ONNXImporter7getBlobERKN11opencv_onnx9NodeProtoERKSt3mapINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEENS_3MatESt4lessISD_ESaISt4pairIKSD_SE_EEEi .rela.text._ZNSt6vectorIS_IiSaIiEESaIS1_EED2Ev .rela.text._ZNSt6vectorIN2cv3MatESaIS1_EED2Ev .gcc_except_table._ZNSt6vectorIN2cv3MatESaIS1_EED2Ev .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValue8arrayIntIPiEES2_T_i .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValue8arrayIntIPiEES2_T_i .rela.text._ZNSt6vectorIiSaIiEEaSERKS1_ .text._ZN2cv3Mat2atIfEERT_i .text._ZN2cv3Mat2atIiEERT_i .rela.text._ZNKSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE4findERS3_ .rela.text._ZNK2cv3dnn23experimental_dnn_34_v114Dict3getERKNS_6StringE .gcc_except_table._ZNK2cv3dnn23experimental_dnn_34_v114Dict3getERKNS_6StringE .rela.text._ZN2cv3dnn23experimental_dnn_34_v1112ONNXImporter10isCeilModeERKNS1_11LayerParamsE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1112ONNXImporter10isCeilModeERKNS1_11LayerParamsE .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE4findERS3_ .rela.text._ZN6google8protobuf13RepeatedFieldIfE7ReserveEi .rela.text._ZN6google8protobuf13RepeatedFieldIlE7ReserveEi .rela.text._ZN6google8protobuf13RepeatedFieldIdE7ReserveEi 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N2cv6detail8PtrOwnerE N2cv3dnn23experimental_dnn_34_v118SubgraphE N2cv3dnn23experimental_dnn_34_v1117BatchNormSubgraphE N2cv3dnn23experimental_dnn_34_v1124BatchNormNoGammaSubgraphE N2cv3dnn23experimental_dnn_34_v1115FlattenSubgraphE N2cv3dnn23experimental_dnn_34_v1120FlattenShapeSubgraphE N2cv3dnn23experimental_dnn_34_v1120SoftMaxKerasSubgraphE N2cv3dnn23experimental_dnn_34_v1118ReLU6KerasSubgraphE N2cv3dnn23experimental_dnn_34_v1120ReshapeKerasSubgraphE N2cv3dnn23experimental_dnn_34_v1119L2NormalizeSubgraphE N2cv3dnn23experimental_dnn_34_v1131DeconvolutionValidKerasSubgraphE N2cv3dnn23experimental_dnn_34_v1130DeconvolutionSameKerasSubgraphE N2cv3dnn23experimental_dnn_34_v1122ResizeBilinearSubgraphE N2cv3dnn23experimental_dnn_34_v1123UpsamplingKerasSubgraphE N2cv3dnn23experimental_dnn_34_v1122ReshapeAsShapeSubgraphE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1117BatchNormSubgraphENS_14DefaultDeleterIS4_EEEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1124BatchNormNoGammaSubgraphENS_14DefaultDeleterIS4_EEEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1115FlattenSubgraphENS_14DefaultDeleterIS4_EEEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1120FlattenShapeSubgraphENS_14DefaultDeleterIS4_EEEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1120SoftMaxKerasSubgraphENS_14DefaultDeleterIS4_EEEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1118ReLU6KerasSubgraphENS_14DefaultDeleterIS4_EEEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1120ReshapeKerasSubgraphENS_14DefaultDeleterIS4_EEEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1119L2NormalizeSubgraphENS_14DefaultDeleterIS4_EEEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1131DeconvolutionValidKerasSubgraphENS_14DefaultDeleterIS4_EEEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1130DeconvolutionSameKerasSubgraphENS_14DefaultDeleterIS4_EEEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1122ResizeBilinearSubgraphENS_14DefaultDeleterIS4_EEEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1123UpsamplingKerasSubgraphENS_14DefaultDeleterIS4_EEEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1122ReshapeAsShapeSubgraphENS_14DefaultDeleterIS4_EEEE NSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE V V â â Step must be a multiple of esz1 /home/yhc/workspace/opencv/opencv-src/modules/core/include/opencv2/core/mat.inl.hpp total() == 0 || data != NULL Flatten !field.empty() /home/yhc/workspace/opencv/opencv-src/modules/dnn/src/tensorflow/tf_graph_simplifier.cpp !content.empty() Tensor's data type is not supported epsilon Add Rsqrt Mul Sub FusedBatchNorm Identity Dropout node.input_size() == inpIndices.size() !inpName.empty() value Relu Minimum Maximum Relu6 Square L2Normalize Shape StridedSlice Pack Reshape Max Exp Sum RealDiv Softmax basic_string::substr %s: __pos (which is %zu) > this->size() (which is %zu) nodesMapIt != nodesMap.end() Merge RefMerge permIds.size() == net.node_size() ResizeBilinear /factor_y ResizeNearestNeighbor /gamma SAME padMode == "SAME" strides strides.i_size() == 4 padding VALID padMode == "VALID" kernelShape.dim_size() == 4 Conv2DBackpropInput nodeInputs[i] < (int)nodes.size() inputs_[i] < (int)nodes.size() vector::reserve Const inpId < node.input_size() basic_string::append Input node with name not found /home/yhc/workspace/opencv/opencv-src/3rdparty/protobuf/src/google/protobuf/map.h CHECK failed: it != end(): key not found: basic_string::_M_construct null not valid Mat Mat getTensorContent virtual void cv::dnn::experimental_dnn_34_v11::BatchNormSubgraph::finalize(opencv_tensorflow::GraphDef&, opencv_tensorflow::NodeDef*, std::vector<opencv_tensorflow::NodeDef*>&) sortByExecutionOrder virtual void cv::dnn::experimental_dnn_34_v11::UpsamplingKerasSubgraph::finalize(opencv_tensorflow::GraphDef&, opencv_tensorflow::NodeDef*, std::vector<opencv_tensorflow::NodeDef*>&) virtual void cv::dnn::experimental_dnn_34_v11::BatchNormNoGammaSubgraph::finalize(opencv_tensorflow::GraphDef&, opencv_tensorflow::NodeDef*, std::vector<opencv_tensorflow::NodeDef*>&) finalize finalize getInputNode setFusedNode addNodeToMatch replace factorsMat.type() CV_32SC1 factorsMat.total() (size_t)2 epsMat.type() CV_32FC1 epsMat.total() (size_t)1 GCC: (Linaro GCC 6.3-2017.05) 6.3.1 20170404 zR x , @ T h | ¤ ¸ Ì à ô 0 D X l ¨ ¼ Ð ä ø 4 , AIÞÓ T , AIÞÓ t , AIÞÓ , AIÞÓ ´ , AIÞÓ Ô , AIÞÓ ô , AIÞÓ , AIÞÓ 4 , AIÞÓ T , AIÞÓ t , AIÞÓ , AIÞÓ ´ , AIÞÓ Ô è 4 CHÞÓ A 4 Ä A0CR
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_ZTIN2cv3dnn23experimental_dnn_34_v1119L2NormalizeSubgraphE _ZTSN2cv3dnn23experimental_dnn_34_v1131DeconvolutionValidKerasSubgraphE _ZTIN2cv3dnn23experimental_dnn_34_v1131DeconvolutionValidKerasSubgraphE _ZTSN2cv3dnn23experimental_dnn_34_v1130DeconvolutionSameKerasSubgraphE _ZTIN2cv3dnn23experimental_dnn_34_v1130DeconvolutionSameKerasSubgraphE _ZTSN2cv3dnn23experimental_dnn_34_v1122ResizeBilinearSubgraphE _ZTIN2cv3dnn23experimental_dnn_34_v1122ResizeBilinearSubgraphE _ZTSN2cv3dnn23experimental_dnn_34_v1123UpsamplingKerasSubgraphE _ZTIN2cv3dnn23experimental_dnn_34_v1123UpsamplingKerasSubgraphE _ZTSN2cv3dnn23experimental_dnn_34_v1122ReshapeAsShapeSubgraphE _ZTIN2cv3dnn23experimental_dnn_34_v1122ReshapeAsShapeSubgraphE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1117BatchNormSubgraphENS_14DefaultDeleterIS4_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1117BatchNormSubgraphENS_14DefaultDeleterIS4_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1124BatchNormNoGammaSubgraphENS_14DefaultDeleterIS4_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1124BatchNormNoGammaSubgraphENS_14DefaultDeleterIS4_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1115FlattenSubgraphENS_14DefaultDeleterIS4_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1115FlattenSubgraphENS_14DefaultDeleterIS4_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1120FlattenShapeSubgraphENS_14DefaultDeleterIS4_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1120FlattenShapeSubgraphENS_14DefaultDeleterIS4_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1120SoftMaxKerasSubgraphENS_14DefaultDeleterIS4_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1120SoftMaxKerasSubgraphENS_14DefaultDeleterIS4_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1118ReLU6KerasSubgraphENS_14DefaultDeleterIS4_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1118ReLU6KerasSubgraphENS_14DefaultDeleterIS4_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1120ReshapeKerasSubgraphENS_14DefaultDeleterIS4_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1120ReshapeKerasSubgraphENS_14DefaultDeleterIS4_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1119L2NormalizeSubgraphENS_14DefaultDeleterIS4_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1119L2NormalizeSubgraphENS_14DefaultDeleterIS4_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1131DeconvolutionValidKerasSubgraphENS_14DefaultDeleterIS4_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1131DeconvolutionValidKerasSubgraphENS_14DefaultDeleterIS4_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1130DeconvolutionSameKerasSubgraphENS_14DefaultDeleterIS4_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1130DeconvolutionSameKerasSubgraphENS_14DefaultDeleterIS4_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1122ResizeBilinearSubgraphENS_14DefaultDeleterIS4_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1122ResizeBilinearSubgraphENS_14DefaultDeleterIS4_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1123UpsamplingKerasSubgraphENS_14DefaultDeleterIS4_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1123UpsamplingKerasSubgraphENS_14DefaultDeleterIS4_EEEE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1122ReshapeAsShapeSubgraphENS_14DefaultDeleterIS4_EEEE _ZTIN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1122ReshapeAsShapeSubgraphENS_14DefaultDeleterIS4_EEEE _ZTSNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE k k k 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TઠÀÀ=À@ùà=À ´ ü_! ü¢ÿÿ5óàªáª ઠóÓM©ëà TàªsB ëÿÿTôo@ùt ´àª ઠàªþ@ùõ[A©÷cB©óSϨÀ_Ö Õ¢áªàª Ôÿÿ Õâªáªàª Ëÿÿó ª àª àª ó ªûÿÿá ªàªóª ઠઠઠó ªûÿÿÿÿ , 4È \ø Ð ¤ Ä4 ó{¿©óª" @© @© ëc ËB! Ë àªó{Á¨À_Ö ? ¿ ? @ ¡ ¡ 9 9 : : it != data_layouts.end() Conv2D SpaceToBatchND Pad DepthwiseConv2dNative tensor.dtype() == tensorflow::DT_INT32 dims == 1 values.type() == CV_32SC1 dilation.size() == 2 dilation_h dilation_w pad_h pad_w next_layers.size() == 1 paddings.type() == CV_32SC1 Padding loc_pred_transposed bias_term BiasAdd numWeights % 4 == 0 !locPredTransposed /home/yhc/workspace/opencv/opencv-src/modules/core/include/opencv2/core/mat.inl.hpp num_output BatchToSpaceND Convolution Add Sub values.type() == CV_32FC1 shift Power Shift operation sum coeff Eltwise MatMul layer.input_size() == 2 InnerProduct layerParams.blobs[0].dims == 2 Reshape /nchw layer_id.find(permName) == layer_id.end() Permute dim Flatten Squeeze squeeze_dims hasLayerAttr(layer, "squeeze_dims") order Unsupported squeeze configuration Transpose perm.type() == CV_32SC1 Only NHWC <-> NCHW permutations are allowed. Identity LRN alpha beta depth_radius local_size bias norm_by_size Concat ConcatV2 axis !lp.blobs[0].empty() lp.blobs[0].type() == 5 MaxPool pool max Pooling AvgPool ave ave_pool_padded_area Placeholder dtype Split Slice !begins.empty() !sizes.empty() begin size Mul scaleMat.type() == CV_32FC1 Maximum net.node(maximumLayerIdx).input_size() == 2 negative_slope ReLU scale Scale prod FusedBatchNorm Expected gamma, beta, mean and std is_training has_weight has_bias Cannot determine number of parameters for batch normalization layer. /MVN layer_id.find(mvnName) == layer_id.end() MVN epsilon eps BatchNorm Conv2DBackpropInput Expected output shape, weights and input nodes SAME adj_w adj_h VALID Deconvolution BlockLSTM Unexpected number of input nodes forget_bias cell_clip use_cell_clip use_peephole LSTM ResizeNearestNeighbor ResizeBilinear height width zoom_factor_x zoom_factor_y layer.input_size() == 2 || layer.input_size() == 3 interpolation nearest bilinear align_corners Resize L2Normalize reductionIndices.type() == CV_32SC1 reductionIndices.at<int>(i) == reductionIndices.at<int>(i - 1) + 1 reductionIndices.at<int>(i) * reductionIndices.at<int>(i - 1) >= 0 start_axis end_axis Normalize PriorBox min_size max_size flip clip offset step variance aspect_ratio scales Softmax CropAndResize Mean indices.type() == CV_32SC1 global_pooling keepdims keep_dims /flatten layer_id.find(flattenName) == layer_id.end() ClipByValue min_value max_value ReLU6 Abs Relu6 AbsVal Tanh TanH Relu Elu ELU paddings total() == 0 || data != NULL !haveConst || layer.input_size() == 2 Unsupported mode of reduce_mean operation. Sigmoid Const input blob for weights not found More than one input is Const op Input [ ] for node [ ] not found Unsupported kernel input value nodeIdx < netTxt.node_size() netTxt.node(nodeIdx).name() == kernel_inp.name map::at dims == 4 tensor.dtype() == tensorflow::DT_FLOAT || tensor.dtype() == tensorflow::DT_HALF Input layer not found: padding pad_mode strides stride_w Unsupported strides stride_h size == (int)dstBlob.total() dst_i < total src_i < total Tensor's data type is not supported vector::_M_default_append Unknown shape of input tensor : basic_string::substr %s: __pos (which is %zu) > this->size() (which is %zu) ksize kernel_w kernel_h Unsupported ksize Dequantize layer.input_size() == 3 const_layers.find(layer.input(i)) != const_layers.end() mode MIN_FIRST hasLayerAttr(layer, "mode") && getLayerAttr(layer, "mode").s() == "MIN_FIRST" tensor->dtype() == tensorflow::DT_QUINT8 qMin.total() == 1 qMin.type() == (((5) & ((1 << 3) - 1)) + (((1)-1) << 3)) qMax.total() == 1 qMax.type() == (((5) & ((1 << 3) - 1)) + (((1)-1) << 3)) rangeScale >= 0 const_layers.insert(std::make_pair(name, tensorId)).second const_layers.insert(std::make_pair(name, li)).second data_format NHWC channels_last channels_first NCHW Unknown data_format value: -4 <= idx && idx < 4 /home/yhc/workspace/opencv/opencv-src/modules/dnn/src/tensorflow/tf_importer.cpp pb Only TensorFlow models support export to text file Const Required argument " " not found into dictionary isString() (idx == -1 && ps->size() == 1) || (idx >= 0 && idx < (int)ps->size()) fracpart == 0.0 isInt() || isReal() || isString() (idx == -1 && size() == 1) || (idx >= 0 && idx < size()) /home/yhc/workspace/opencv/opencv-src/modules/dnn/include/opencv2/dnn/dnn.inl.hpp /home/yhc/workspace/opencv/opencv-src/3rdparty/protobuf/src/google/protobuf/map.h CHECK failed: it != end(): key not found: vector::_M_fill_insert basic_string::_M_construct null not valid basic_string::append Mat void cv::dnn::experimental_dnn_34_v11::{anonymous}::TFImporter::populateNet(cv::dnn::experimental_dnn_34_v11::Net) populateNet getConstBlob kernelFromTensor connect setStrides parseTensor parseTensor parseTensor blobFromTensor blobShapeFromTensor setKSize parseDims addConstNodes getDataLayout predictOutputDataLayout toNCHW writeTextGraph get get<cv::String> get<long int> size maxValue.type() CV_32FC1 maxValue.total() (size_t)1 minValue.type() minValue.total() cropSize.total() (size_t)2 cropSize.type() CV_32SC1 factorWidth.total() factorWidth.type() factorHeight.total() factorHeight.type() outSize.total() outSize.type() sizes.type() begins.type() GCC: (Linaro GCC 6.3-2017.05) 6.3.1 20170404 zR x , 4 CHÞÓ L H HFÞ h A 4 Ä A0CR
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.rela.text._ZNSt6vectorISt4pairIN2cv6StringEiESaIS3_EE14_M_move_assignEOS5_St17integral_constantIbLb1EE.isra.191 .gcc_except_table._ZNSt6vectorISt4pairIN2cv6StringEiESaIS3_EE14_M_move_assignEOS5_St17integral_constantIbLb1EE.isra.191 .rela.text._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_18parsePinERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_18parsePinERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE .rela.text._ZN2cv6StringC2EPKc .rela.text.unlikely._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_1L6toNCHWEi .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_1L6toNCHWEi .rela.text._ZNK2cv3dnn23experimental_dnn_34_v119DictValue4sizeEv.isra.50 .gcc_except_table._ZNK2cv3dnn23experimental_dnn_34_v119DictValue4sizeEv.isra.50 .rela.text._ZN2cvplERKNS_6StringEPKc .gcc_except_table._ZN2cvplERKNS_6StringEPKc .rela.text._ZN2cv3MatD2Ev .gcc_except_table._ZN2cv3MatD2Ev .rela.text._ZN2cv3MataSERKS0_ .text._ZNK2cv3Mat5emptyEv .rela.text._ZN2cv3MataSEOS0_ .rela.text._ZN2cv16MatConstIteratorC2EPKNS_3MatE .rela.text._ZN2cv6StringC2ERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE .rela.text._ZN2cv6StringaSERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE .rela.text._ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getIlEET_i .gcc_except_table._ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getIlEET_i .rela.text._ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getINS_6StringEEET_i .gcc_except_table._ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getINS_6StringEEET_i .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValueC2ERKS2_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValueC2ERKS2_ .rela.text._ZNK2cv3dnn23experimental_dnn_34_v114Dict3getERKNS_6StringE .gcc_except_table._ZNK2cv3dnn23experimental_dnn_34_v114Dict3getERKNS_6StringE .rela.text._ZN2cv7MatExprD2Ev .rela.text._ZNSt6vectorIN2cv6StringESaIS1_EED2Ev .gcc_except_table._ZNSt6vectorIN2cv6StringESaIS1_EED2Ev .rela.text._ZN2cv10AutoBufferINS_6StringELm1EEC2ERKS2_ .gcc_except_table._ZN2cv10AutoBufferINS_6StringELm1EEC2ERKS2_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValueaSERKS2_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValueaSERKS2_ .rela.text._ZN6google8protobuf5Arena3OwnINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEEEvPT_ .rela.text._ZN6google8protobuf8internal14ArenaStringPtr14CreateInstanceEPNS0_5ArenaEPKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE .gcc_except_table._ZN6google8protobuf8internal14ArenaStringPtr14CreateInstanceEPNS0_5ArenaEPKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEE .rela.text._ZStplIcSt11char_traitsIcESaIcEENSt7__cxx1112basic_stringIT_T0_T1_EEPKS5_RKS8_ .gcc_except_table._ZStplIcSt11char_traitsIcESaIcEENSt7__cxx1112basic_stringIT_T0_T1_EEPKS5_RKS8_ .rela.text._ZNSt4pairIN2cv6StringENS0_3dnn23experimental_dnn_34_v119DictValueEEC2IS4_Lb1EEERKS1_OT_ .gcc_except_table._ZNSt4pairIN2cv6StringENS0_3dnn23experimental_dnn_34_v119DictValueEEC2IS4_Lb1EEERKS1_OT_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValue8arrayIntIPiEES2_T_i .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValue8arrayIntIPiEES2_T_i .rela.text._ZNSt6vectorISt4pairIN2cv6StringEiESaIS3_EED2Ev .gcc_except_table._ZNSt6vectorISt4pairIN2cv6StringEiESaIS3_EED2Ev .rela.text._ZStplIcSt11char_traitsIcESaIcEENSt7__cxx1112basic_stringIT_T0_T1_EEOS8_PKS5_ .rela.text._ZStplIcSt11char_traitsIcESaIcEENSt7__cxx1112basic_stringIT_T0_T1_EEOS8_RKS8_ .text._ZN2cv3Mat2atIiEERT_i .rela.text._ZSt11swap_rangesIN2cv12MatIterator_IfEES2_ET0_T_S4_S3_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValue9arrayRealIPfEES2_T_i .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValue9arrayRealIPfEES2_T_i .rela.text._ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EED2Ev .rela.text._ZNKSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE4findERS3_ .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE4findERS3_ .rela.text._ZNKSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE4findERS3_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_1L13getDataLayoutERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERKSt3mapINS_6StringEiSt4lessISC_ESaISt4pairIKSC_iEEE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_1L13getDataLayoutERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEERKSt3mapINS_6StringEiSt4lessISC_ESaISt4pairIKSC_iEEE .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE4findERS3_ .rela.text._ZNSt8_Rb_treeIN2cv6StringES1_St9_IdentityIS1_ESt4lessIS1_ESaIS1_EE16_M_insert_uniqueIRKS1_EESt4pairISt17_Rb_tree_iteratorIS1_EbEOT_ .rela.text._ZNSt8_Rb_treeIN2cv6StringES1_St9_IdentityIS1_ESt4lessIS1_ESaIS1_EE8_M_eraseEPSt13_Rb_tree_nodeIS1_E .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringES1_St9_IdentityIS1_ESt4lessIS1_ESaIS1_EE8_M_eraseEPSt13_Rb_tree_nodeIS1_E .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE8_M_eraseEPSt13_Rb_tree_nodeIS4_E .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_iESt10_Select1stIS4_ESt4lessIS1_ESaIS4_EE8_M_eraseEPSt13_Rb_tree_nodeIS4_E .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3MatEESt10_Select1stIS5_ESt4lessIS1_ESaIS5_EE8_M_eraseEPSt13_Rb_tree_nodeIS5_E .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3MatEESt10_Select1stIS5_ESt4lessIS1_ESaIS5_EE8_M_eraseEPSt13_Rb_tree_nodeIS5_E .rela.text._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E .gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E .rela.text._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev .rela.text._ZNSt6vectorIN2cv6StringESaIS1_EE19_M_emplace_back_auxIJRKS1_EEEvDpOT_ .gcc_except_table._ZNSt6vectorIN2cv6StringESaIS1_EE19_M_emplace_back_auxIJRKS1_EEEvDpOT_ .rela.text._ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE19_M_emplace_back_auxIJRKS5_EEEvDpOT_ .gcc_except_table._ZNSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaIS5_EE19_M_emplace_back_auxIJRKS5_EEEvDpOT_ .rela.text._ZNSt6vectorIiSaIiEE14_M_fill_insertEN9__gnu_cxx17__normal_iteratorIPiS1_EEmRKi .rela.text._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_119blobShapeFromTensorERKN17opencv_tensorflow11TensorProtoERSt6vectorIiSaIiEE.constprop.417 .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_119blobShapeFromTensorERKN17opencv_tensorflow11TensorProtoERSt6vectorIiSaIiEE.constprop.417 .rela.text._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_114blobFromTensorERKN17opencv_tensorflow11TensorProtoERNS_3MatE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_114blobFromTensorERKN17opencv_tensorflow11TensorProtoERNS_3MatE .rela.text._ZN2cv3dnn23experimental_dnn_34_v1112_GLOBAL__N_110TFImporter16kernelFromTensorERKN17opencv_tensorflow11TensorProtoERNS_3MatE.isra.369 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X Ü ¼ ¸ Ä ü ó{¿©ó ª`! @ù $@ù!@ a ù ë@ T àª! @ù!@ ø ઠÒó{Á¨ ó{¿© s ઠáªó{Á¨ @ùB /home/yhc/workspace/opencv/opencv-src/modules/dnn/src/tensorflow/tf_io.cpp CHECK ReadProtoFromTextFile(param_file, param) Failed to parse GraphDef file: FAILED: . basic_string::_M_construct null not valid ReadProtoFromBinaryFile(param_file, param) ReadProtoFromTextBuffer(data, len, param) Failed to parse GraphDef buffer ReadProtoFromBinaryBuffer(data, len, param) ReadTFNetParamsFromTextFileOrDie ReadTFNetParamsFromBinaryFileOrDie ReadTFNetParamsFromTextBufferOrDie ReadTFNetParamsFromBinaryBufferOrDie GCC: (Linaro GCC 6.3-2017.05) 6.3.1 20170404 zR x H BOÞÓ zPLR x @ $ KðC^]B\[HZYVUTXW¢
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.gcc_except_table._ZN2THL19THDiskFile_readByteEPNS_8THFile__EPhl .rela.text._ZN2THL19THDiskFile_readLongEPNS_8THFile__EPll .gcc_except_table._ZN2THL19THDiskFile_readLongEPNS_8THFile__EPll .text._ZN2TH28THDiskFile_isLittleEndianCPUEv .text._ZN2TH25THDiskFile_isBigEndianCPUEv .rela.text._ZN2TH31THDiskFile_nativeEndianEncodingEPNS_8THFile__E .gcc_except_table._ZN2TH31THDiskFile_nativeEndianEncodingEPNS_8THFile__E .rela.text._ZN2TH31THDiskFile_littleEndianEncodingEPNS_8THFile__E .gcc_except_table._ZN2TH31THDiskFile_littleEndianEncodingEPNS_8THFile__E .rela.text._ZN2TH28THDiskFile_bigEndianEncodingEPNS_8THFile__E .gcc_except_table._ZN2TH28THDiskFile_bigEndianEncodingEPNS_8THFile__E .rela.text._ZN2TH19THDiskFile_longSizeEPNS_8THFile__Ei .gcc_except_table._ZN2TH19THDiskFile_longSizeEPNS_8THFile__Ei .rela.text._ZN2TH19THDiskFile_noBufferEPNS_8THFile__E .gcc_except_table._ZN2TH19THDiskFile_noBufferEPNS_8THFile__E .rela.text._ZN2TH14THDiskFile_newERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPKci .gcc_except_table._ZN2TH14THDiskFile_newERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPKci .rela.data.rel.local._ZZN2TH14THDiskFile_newERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPKciE6vtable .rodata._ZN2TH14THDiskFile_newERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPKci.str1.8 .rodata._ZN2TH19THDiskFile_longSizeEPNS_8THFile__Ei.str1.8 .rodata._ZN2TH19THDiskFile_noBufferEPNS_8THFile__E.str1.8 .rodata._ZN2THL15THDiskFile_seekEPNS_8THFile__El.str1.8 .rodata._ZN2THL16THDiskFile_closeEPNS_8THFile__E.str1.8 .rodata._ZN2THL18THDiskFile_readIntEPNS_8THFile__EPil.str1.8 .rodata._ZN2THL18THDiskFile_seekEndEPNS_8THFile__E.str1.8 .rodata._ZN2THL19THDiskFile_positionEPNS_8THFile__E.str1.8 .rodata._ZN2THL19THDiskFile_readLongEPNS_8THFile__EPll.str1.8 .rodata._ZN2THL20THDiskFile_readFloatEPNS_8THFile__EPfl.str1.8 .rodata._ZN2THL20THDiskFile_readShortEPNS_8THFile__EPsl.str1.8 .rodata._ZN2THL21THDiskFile_readDoubleEPNS_8THFile__EPdl.str1.8 .rodata._ZN2THL21THDiskFile_readStringEPNS_8THFile__EPKcPPc.str1.8 .rodata._ZN2cvL13errorNoReturnEiRKNS_6StringEPKcS4_i.constprop.1.str1.8 .rodata._ZZN2TH14THDiskFile_newERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPKciE8__func__ .rodata._ZZN2TH19THDiskFile_longSizeEPNS_8THFile__EiE8__func__ .rodata._ZZN2TH19THDiskFile_noBufferEPNS_8THFile__EE8__func__ .rodata._ZZN2TH28THDiskFile_bigEndianEncodingEPNS_8THFile__EE8__func__ .rodata._ZZN2TH31THDiskFile_littleEndianEncodingEPNS_8THFile__EE8__func__ .rodata._ZZN2TH31THDiskFile_nativeEndianEncodingEPNS_8THFile__EE8__func__ .rodata._ZZN2THL15THDiskFile_seekEPNS_8THFile__ElE8__func__ .rodata._ZZN2THL16THDiskFile_closeEPNS_8THFile__EE8__func__ .rodata._ZZN2THL18THDiskFile_readIntEPNS_8THFile__EPilE8__func__ .rodata._ZZN2THL18THDiskFile_seekEndEPNS_8THFile__EE8__func__ .rodata._ZZN2THL19THDiskFile_positionEPNS_8THFile__EE8__func__ .rodata._ZZN2THL19THDiskFile_readByteEPNS_8THFile__EPhlE8__func__ .rodata._ZZN2THL19THDiskFile_readCharEPNS_8THFile__EPclE8__func__ .rodata._ZZN2THL19THDiskFile_readLongEPNS_8THFile__EPllE8__func__ .rodata._ZZN2THL20THDiskFile_readFloatEPNS_8THFile__EPflE8__func__ .rodata._ZZN2THL20THDiskFile_readShortEPNS_8THFile__EPslE8__func__ .rodata._ZZN2THL21THDiskFile_readDoubleEPNS_8THFile__EPdlE8__func__ .rodata._ZZN2THL21THDiskFile_readStringEPNS_8THFile__EPKcPPcE8__func__ .rela.data.DW.ref.__gxx_personality_v0 .comment .note.GNU-stack .rela.eh_frame .group E @ n ± E H n ½ P ! 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THFile.cpp.o/ 1588753689 1000 1000 100644 11032 `
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ELF · Ø @ @ - * @ùc@ù` Ö @ùc@ù` Ö @ùc @ù` Ö @ùc@ù` Ö @ùc@ù` Ö @ùc@ù` Ö @ùc @ù` Ö @ùc @ù` Ö @ùB$@ù@ Ö @ù!(@ù Ö @ù!,@ù Ö @ù!0@ù Ö @ù!4@ù Ö @ù! @ù Ö @¹À_Ö @¹À_Ö @¹À_Ö @¹À_Ö @¹À_Ö @¹À_Ö! R ¹À_Ö ¹À_Ö! R ¹À_Ö ¹À_Ö! R ¹À_Ö ¹À_Ö ¹À_Öþ ø" Ò @ùá c@ù` ?Öà@9þBøÀ_Ö þ ø" Ò @ùá c@ù` ?Öà@9þBøÀ_Ö þ ø" Ò @ùá{ c @ù` ?Öà?@yþBøÀ_Ö þ ø" Ò @ùás c@ù` ?Öà @¹þBøÀ_Ö þ ø" Ò @ùác c@ù` ?Öà@ùþBøÀ_Ö þ ø" Ò @ùás c@ù` ?Öà @½þBøÀ_Ö þ ø" Ò @ùác c @ù` ?Öà@ýþBøÀ_Ö GCC: (Linaro GCC 6.3-2017.05) 6.3.1 20170404 zR x , @ T h | ¤ ¸ Ì à ô 0 D X l ¨ ¼ Ð ä ø 4 $ A GÞ P $ A GÞ l $ A GÞ $ A GÞ ¤ $ A GÞ À $ A GÞ Ü $ A GÞ ñÿ
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©ÿ_ ù OáàW@ù <@ ´ ઠà@¹` 4ઠàC à»@ù@ ´ á«@ù á@ùB á{@ù àk@ù@ ´ ઠàs@¹` 4ઠàªþ#@ùõ[A©÷cB©ùkC©óSÚ¨À_Öö# àª! ÄRc B áªÀ ó ªàª à@¹` 4ઠàC ઠઠàs@¹` 4ઠઠó ªóÿÿó ªõÿÿó ªàª óÿÿáW@ùó ªa ´àª ઠáÿÿó ªüÿÿó ªàª ઠÙÿÿó ª×ÿÿÿÿ?4 p¨ ¸ Ôø àà Ø ì¸ ¨ø ÈÌ ó{¿© s ઠáªó{Á¨ @ùB void cv::dnn::experimental_dnn_34_v11::TorchImporter::populateNet(cv::dnn::experimental_dnn_34_v11::Net) cv::dnn::experimental_dnn_34_v11::TorchImporter::TorchImporter(cv::String, bool, bool) N2cv6detail8PtrOwnerE N2cv6detail12PtrOwnerImplIN2TH8THFile__EPFvPS3_EEE N2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleENS_14DefaultDeleterIS5_EEEE Ì ê Unsupported Lua type Double Float Byte Char Short Int Long Unknown type " " of torch class " " /home/yhc/workspace/opencv/opencv-src/modules/dnn/src/torch/torch_importer.cpp Cuda luaType == TYPE_TABLE && readedIndexes.count(index) == 0 Tensor torch_index Sequential Parallel inputDimension outputDimension Concat JoinTable dimension SpatialConvolution Convolution weight bias bias_term num_output nOutputPlane SpatialConvolutionMM layerParams.blobs[0].dims == 2 SpatialLPPooling SpatialMaxPooling Pooling pool MAX indices_blob_id indices SpatialAveragePooling AVE ave_pool_padded_area count_include_pad ceil_mode Linear InnerProduct Reshape size dim batchMode axis ReLU Tanh TanH Sigmoid SpatialBatchNormalization InstanceNormalization BatchNorm eps running_mean running_var train MVN PReLU tensorParams["weight"].second.total() == outputChannels ChannelsPReLU tensorParams["weight"].second.total() == 1 negative_slope SpatialDropout p Identity scale > 0 Power scale Normalize Padding pad scalarParams.has("pad") && scalarParams.has("dim") index Padding with offset is not implemented value nInputDim paddings CAddTable SpatialDilatedConvolution scalarParams.has("padW") && scalarParams.has("padH")&& scalarParams.has("dW")&& scalarParams.has("dH")&& scalarParams.has("dilationW")&& scalarParams.has("dilationH")&& scalarParams.has("kW")&& scalarParams.has("kH")&& scalarParams.has("nOutputPlane") dilation_w dilationW dilation_h dilationH SpatialFullConvolution Deconvolution scalarParams.has("padW") && scalarParams.has("padH")&& scalarParams.has("dW")&& scalarParams.has("dH")&& scalarParams.has("adjW")&& scalarParams.has("adjH")&& scalarParams.has("kW")&& scalarParams.has("kH")&& scalarParams.has("nOutputPlane") adj_w adjW adj_h adjH SpatialMaxUnpooling SoftMax LogSoftMax log_softmax SpatialCrossMapLRN LRN alpha ACROSS_CHANNELS beta k local_size norm_by_size Square Sqrt pow power MulConstant constant_scalar SpatialZeroPadding pad_l pad_r pad_b SpatialZeroPadding in cropping mode is not implemented input_dims SpatialReflectionPadding type reflect ShaveImage Slice begin end SpatialUpSamplingNearest scale_factor Resize interpolation nearest zoom_factor Unsupported Torch class " tensorParams.count("weight") scalarParams.has("ceil_mode") scalarParams.has("size") scalarParams.has("eps") nOutput scalarParams.has("nOutput") running_std has_weight has_bias scalarParams.has("p") v2 tensorParams.count("indices") scalarParams.has("alpha") scalarParams.has("beta") scalarParams.has("k") norm_region scalarParams.has("constant_scalar") scalarParams.has("pad_l") pad_t scalarParams.has("pad_r") scalarParams.has("pad_t") scalarParams.has("pad_b") scalarParams.has("scale_factor") ConcatTable DepthConcat Inception View BatchNormalization Dropout TotalVariation typeidx == TYPE_TORCH || (typeidx == TYPE_NIL && ndims == 0) torch. Storage typeStorage >= 0 && typeTensor == typeStorage Storage has insufficient number of elements for requested Tensor l _ kernel_h kH kernel_w kW stride_h dH stride_w dW pad_h padH pad_w padW torchMerge padding num_axes torchSplit torchReshape !numUnconnectedLayers.empty() numInputs <= ids.size() torchCAddTable operation sum Eltwise pool_k_h pool_k_w pool_stride_h pool_stride_w pool_pad_h pool_pad_w torchMaxUnpooling MaxUnpool poolingLayer.first != -1 Unexpected torch container: module->params.has("indices_blob_id") r file && THFile_isOpened(file) importer.tensors.size() == 1 rootModule == NULL Required argument " " not found into dictionary isString() (idx == -1 && ps->size() == 1) || (idx >= 0 && idx < (int)ps->size()) isReal() || isInt() || isString() fracpart == 0.0 isInt() || isReal() || isString() (idx == -1 && size() == 1) || (idx >= 0 && idx < size()) /home/yhc/workspace/opencv/opencv-src/modules/dnn/include/opencv2/dnn/dnn.inl.hpp basic_string::_M_construct null not valid readObject populateNet parseTorchType readTorchTable readTorchObject readTorchTensor readTorchStorage fill TorchImporter readTorchBlob cv::dnn::experimental_dnn_34_v11::Net cv::dnn::experimental_dnn_34_v11::readNetFromTorch(const cv::String&, bool, bool) get get<cv::String> get<double> get<long int> size nn. cunn. cudnn. fbcunn. GCC: (Linaro GCC 6.3-2017.05) 6.3.1 20170404 zR x , @ T AFÞÓ t H HFÞ ¤ A 4 ¼ Ä A0CR
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_ZNSt6localeD1Ev _ZNSt8ios_baseD2Ev _ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE9_M_assignERKS4_ _ZNSt7__cxx1119basic_ostringstreamIcSt11char_traitsIcESaIcEED1Ev _ZN2cv10AutoBufferINS_6StringELm1EEC2ERKS2_ _ZN2cv10AutoBufferINS_6StringELm1EEC1ERKS2_ _ZN2cv3dnn23experimental_dnn_34_v119DictValueaSERKS2_ _ZNSt4pairIN2cv6StringENS0_3dnn23experimental_dnn_34_v119DictValueEEC2IS4_Lb1EEERKS1_OT_ _ZNSt4pairIN2cv6StringENS0_3dnn23experimental_dnn_34_v119DictValueEEC1IS4_Lb1EEERKS1_OT_ _ZNSt6vectorIiSaIiEEC2EmRKiRKS0_ _ZSt17__throw_bad_allocv _ZNSt6vectorIiSaIiEEC1EmRKiRKS0_ _ZN2cv3dnn23experimental_dnn_34_v119DictValue8arrayIntIPiEES2_T_i _ZNKSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE4findERS3_ _ZNK2cv3dnn23experimental_dnn_34_v114Dict3getERKNS_6StringE _ZNK2cv3dnn23experimental_dnn_34_v114Dict3getIbEET_RKNS_6StringE _ZNK2cv3dnn23experimental_dnn_34_v114Dict3getIbEET_RKNS_6StringERKS4_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE4findERS3_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev _ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD1Ev _ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleENS_14DefaultDeleterIS5_EEE10deleteSelfEv _ZNSt8_Rb_treeIiiSt9_IdentityIiESt4lessIiESaIiEE8_M_eraseEPSt13_Rb_tree_nodeIiE _ZNSt8_Rb_treeIiSt4pairIKiN2cv3MatEESt10_Select1stIS4_ESt4lessIiESaIS4_EE8_M_eraseEPSt13_Rb_tree_nodeIS4_E _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporterC2ENS_6StringEbb _ZN2cv3dnn23experimental_dnn_34_v113NetC1Ev _ZZN2cv3dnn23experimental_dnn_34_v1113TorchImporterC4ENS_6StringEbbE25__cv_trace_location_fn136 _ZN2cv5utils5trace7details6RegionC1ERKNS3_21LocationStaticStorageE _ZN2TH14THDiskFile_newERKNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEEPKci _ZN2TH11THFile_freeEPNS_8THFile__E _ZTVN2cv6detail12PtrOwnerImplIN2TH8THFile__EPFvPS3_EEE _ZN2TH15THFile_isOpenedEPNS_8THFile__E _ZN2TH12THFile_asciiEPNS_8THFile__E _ZN2cv5utils5trace7details6Region7destroyEv _ZN2TH13THFile_binaryEPNS_8THFile__E _ZN2cv3dnn23experimental_dnn_34_v113NetD1Ev _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporterC1ENS_6StringEbb _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporterD2Ev _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporterD1Ev _ZNSt8_Rb_treeIiiSt9_IdentityIiESt4lessIiESaIiEE16_M_insert_uniqueIRKiEESt4pairISt17_Rb_tree_iteratorIiEbEOT_ _ZSt18_Rb_tree_decrementPSt18_Rb_tree_node_base _ZSt29_Rb_tree_insert_and_rebalancebPSt18_Rb_tree_node_baseS0_RS_ _ZNSt8_Rb_treeIiSt4pairIKiN2cv3MatEESt10_Select1stIS4_ESt4lessIiESaIS4_EE16_M_insert_uniqueIS0_IiS3_EEES0_ISt17_Rb_tree_iteratorIS4_EbEOT_ _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter16readTorchStorageEii _ZN2TH21THFile_readLongScalarEPNS_8THFile__E _ZN2TH18THFile_readLongRawEPNS_8THFile__EPll _ZN2TH19THFile_readShortRawEPNS_8THFile__EPsl _ZN2TH19THFile_readFloatRawEPNS_8THFile__EPfl _ZN2TH18THFile_readByteRawEPNS_8THFile__EPhl _ZN2TH20THFile_readDoubleRawEPNS_8THFile__EPdl _ZN2TH17THFile_readIntRawEPNS_8THFile__EPil _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_S2_IiNS0_3MatEEESt10_Select1stIS6_ESt4lessIS1_ESaIS6_EE8_M_eraseEPSt13_Rb_tree_nodeIS6_E _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleEEESaIS6_EE19_M_emplace_back_auxIJRKS6_EEEvDpOT_ _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleEEESaIS6_EE9push_backERKS6_ _ZNKSt8_Rb_treeIN2cv6StringESt4pairIKS1_S2_IiNS0_3MatEEESt10_Select1stIS6_ESt4lessIS1_ESaIS6_EE4findERS3_ _ZNSt6vectorIN2cv3MatESaIS1_EE19_M_emplace_back_auxIJRKS1_EEEvDpOT_ __cxa_begin_catch __cxa_rethrow __cxa_end_catch _ZNSt6vectorIN2cv3MatESaIS1_EE9push_backERKS1_ _ZNSt8_Rb_treeIiSt4pairIKiN2cv3MatEESt10_Select1stIS4_ESt4lessIiESaIS4_EE24_M_get_insert_unique_posERS1_ _ZNSt3mapIiN2cv3MatESt4lessIiESaISt4pairIKiS1_EEEixERS5_ _ZSt18_Rb_tree_incrementPSt18_Rb_tree_node_base _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter15readTorchTensorEii _ZN2cv3MatC1EiPKiiPvPKm _ZNK2cv3Mat9convertToERKNS_12_OutputArrayEidd _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_S2_IiNS0_3MatEEESt10_Select1stIS6_ESt4lessIS1_ESaIS6_EE24_M_get_insert_unique_posERS3_ _ZNSt3mapIN2cv6StringESt4pairIiNS0_3MatEESt4lessIS1_ESaIS2_IKS1_S4_EEEixEOS1_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_S2_IiNS0_3MatEEESt10_Select1stIS6_ESt4lessIS1_ESaIS6_EE16_M_insert_uniqueIS2_IS1_S5_EEES2_ISt17_Rb_tree_iteratorIS6_EbEOT_ _ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE16_M_insert_uniqueIS2_IS1_S6_EEES2_ISt17_Rb_tree_iteratorIS7_EbEOT_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setIbEERKT_RKNS_6StringES6_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setIfEERKT_RKNS_6StringES6_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setIA8_cEERKT_RKNS_6StringES7_ _ZN2cv3dnn23experimental_dnn_34_v114Dict3setIiEERKT_RKNS_6StringES6_ _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter25convertTorchKernelsParamsERKNS1_4DictERNS1_11LayerParamsE _ZN2cv3dnn23experimental_dnn_34_v114Dict3setINS1_9DictValueEEERKT_RKNS_6StringES7_ _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleEEESaIS6_EE19_M_emplace_back_auxIJS6_EEEvDpOT_ _ZNSt6vectorIN2cv3PtrINS0_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleEEESaIS6_EE12emplace_backIJS6_EEEvDpOT_ _ZNSt6vectorIN2cv3MatESaIS1_EE19_M_emplace_back_auxIJS1_EEEvDpOT_ _ZNSt6vectorIN2cv3MatESaIS1_EE12emplace_backIJS1_EEEvDpOT_ _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter15readTorchObjectEi _ZTVN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleENS_14DefaultDeleterIS5_EEEE 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memmove _ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter4fillEPNS2_6ModuleERSt6vectorISt4pairIiS4_ESaIS7_EEii _ZN2cv3dnn23experimental_dnn_34_v113Net8addLayerERKNS_6StringES5_RNS1_11LayerParamsE _ZN2cv3dnn23experimental_dnn_34_v113Net7connectEiiii _ZNK2cv3dnn23experimental_dnn_34_v113Net23getUnconnectedOutLayersEv _ZN2cv3dnn23experimental_dnn_34_v1116readNetFromTorchERKNS_6StringEbb _ZZN2cv3dnn23experimental_dnn_34_v1113TorchImporter11populateNetENS1_3NetEE26__cv_trace_location_fn1228 _ZNSt8ios_base4InitC1Ev _ZNSt8ios_base4InitD1Ev __dso_handle __cxa_atexit _ZTSN2cv6detail8PtrOwnerE _ZTIN2cv6detail8PtrOwnerE _ZTVN10__cxxabiv117__class_type_infoE _ZTSN2cv6detail12PtrOwnerImplIN2TH8THFile__EPFvPS3_EEE _ZTIN2cv6detail12PtrOwnerImplIN2TH8THFile__EPFvPS3_EEE _ZTVN10__cxxabiv120__si_class_type_infoE _ZTSN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleENS_14DefaultDeleterIS5_EEEE 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.gcc_except_table._ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getIdEET_i .rela.text._ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getINS_6StringEEET_i .gcc_except_table._ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getINS_6StringEEET_i .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValue7releaseEv .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValueC2ERKS2_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValueC2ERKS2_ .text._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter6ModuleC2ERKNS_6StringES6_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter10readStringEv .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter10readStringEv .rela.text._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter18readTorchClassNameEv .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter18readTorchClassNameEv .rela.text._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter14parseTorchTypeERKNS_6StringEPKcS7_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter14parseTorchTypeERKNS_6StringEPKcS7_ .rela.text._ZN2cv7MatExprD2Ev .rela.text._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter17generateLayerNameERKNS_6StringE .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter17generateLayerNameERKNS_6StringE .rela.text._ZN2cv10AutoBufferINS_6StringELm1EEC2ERKS2_ .gcc_except_table._ZN2cv10AutoBufferINS_6StringELm1EEC2ERKS2_ .rela.text._ZN2cv3dnn23experimental_dnn_34_v119DictValueaSERKS2_ .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v119DictValueaSERKS2_ .rela.text._ZNSt4pairIN2cv6StringENS0_3dnn23experimental_dnn_34_v119DictValueEEC2IS4_Lb1EEERKS1_OT_ .gcc_except_table._ZNSt4pairIN2cv6StringENS0_3dnn23experimental_dnn_34_v119DictValueEEC2IS4_Lb1EEERKS1_OT_ .rela.text._ZNSt6vectorIiSaIiEEC2EmRKiRKS0_ 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.gcc_except_table._ZNSt8_Rb_treeIN2cv6StringESt4pairIKS1_NS0_3dnn23experimental_dnn_34_v119DictValueEESt10_Select1stIS7_ESt4lessIS1_ESaIS7_EE8_M_eraseEPSt13_Rb_tree_nodeIS7_E .rela.text._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev .gcc_except_table._ZN2cv3dnn23experimental_dnn_34_v1111LayerParamsD2Ev .rela.text._ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleENS_14DefaultDeleterIS5_EEE10deleteSelfEv .gcc_except_table._ZN2cv6detail12PtrOwnerImplINS_3dnn23experimental_dnn_34_v1113TorchImporter6ModuleENS_14DefaultDeleterIS5_EEE10deleteSelfEv .rela.text._ZNSt8_Rb_treeIiiSt9_IdentityIiESt4lessIiESaIiEE8_M_eraseEPSt13_Rb_tree_nodeIiE .rela.text._ZNSt8_Rb_treeIiSt4pairIKiN2cv3MatEESt10_Select1stIS4_ESt4lessIiESaIS4_EE8_M_eraseEPSt13_Rb_tree_nodeIS4_E .gcc_except_table._ZNSt8_Rb_treeIiSt4pairIKiN2cv3MatEESt10_Select1stIS4_ESt4lessIiESaIS4_EE8_M_eraseEPSt13_Rb_tree_nodeIS4_E .rela.text._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporterC2ENS_6StringEbb 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.rodata._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter15readTorchObjectEi.str1.8 .rodata._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter15readTorchTensorEii.str1.8 .rodata._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter17generateLayerNameERKNS_6StringE.str1.8 .rodata._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter25convertTorchKernelsParamsERKNS1_4DictERNS1_11LayerParamsE.str1.8 .rodata._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporter4fillEPNS2_6ModuleERSt6vectorISt4pairIiS4_ESaIS7_EEii.str1.8 .rodata._ZN2cv3dnn23experimental_dnn_34_v1113TorchImporterC2ENS_6StringEbb.str1.8 .rodata._ZN2cv3dnn23experimental_dnn_34_v1113readTorchBlobERKNS_6StringEb.str1.8 .rodata._ZN2cv3dnn23experimental_dnn_34_v1116readNetFromTorchERKNS_6StringEbb.str1.8 .rodata._ZN2cvltERKNS_6StringES2_.str1.8 .rodata._ZNK2cv3dnn23experimental_dnn_34_v114Dict3getERKNS_6StringE.str1.8 .rodata._ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getINS_6StringEEET_i.str1.8 .rodata._ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getIdEET_i.str1.8 .rodata._ZNK2cv3dnn23experimental_dnn_34_v119DictValue3getIlEET_i.constprop.299.str1.8 .rodata._ZNK2cv3dnn23experimental_dnn_34_v119DictValue4sizeEv.isra.37.str1.8 .rodata._ZNSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEE12_M_constructIPcEEvT_S7_St20forward_iterator_tag.isra.213.str1.8 .rodata._ZZN2cv3dnn23experimental_dnn_34_v1113TorchImporter10readObjectEvE8__func__ .rodata._ZZN2cv3dnn23experimental_dnn_34_v1113TorchImporter11populateNetENS1_3NetEE8__func__ .rodata._ZZN2cv3dnn23experimental_dnn_34_v1113TorchImporter14parseTorchTypeERKNS_6StringEPKcS7_E8__func__ .rodata._ZZN2cv3dnn23experimental_dnn_34_v1113TorchImporter14readTorchTableERNS1_4DictERSt3mapINS_6StringESt4pairIiNS_3MatEESt4lessIS6_ESaIS7_IKS6_S9_EEEE8__func__ .rodata._ZZN2cv3dnn23experimental_dnn_34_v1113TorchImporter15readTorchObjectEiE8__func__ .rodata._ZZN2cv3dnn23experimental_dnn_34_v1113TorchImporter15readTorchTensorEiiE8__func__ 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|
7 2 } 7 2 ø7 2 ( & J8 2 P 8 2 p ð8 2 9 2 4 d9 2 È V ·9 2 " : 2 H q W: 2 À R ¤: 2 * #; H w; X Ô; h >< x â< ;= = ¨ ð= À k> È Á> Ø ? è x {? ` Ê? h !@ x n@ »@ A 2 A À A @ @ô s l :A 0 È . CA ö XA ø ( SA @ Xô ` s p ¸ iA 0 Ð> t Þ ðn {5 /1176 1588753691 1000 1000 100644 203344 `
|
ELF · P @ @ < 9 dnn softmax_loss #define CONCAT(A,B) A##_##B
|
#define TEMPLATE(name,type) CONCAT(name,type)
|
#if defined(cl_intel_subgroups)
|
#pragma OPENCL EXTENSION cl_intel_subgroups : enable
|
#endif
|
#if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
__kernel void TEMPLATE(softmax_forward_slm,Dtype)(const int num, const int channels,
|
const int spatial_dim,
|
__global Dtype* scale,
|
__global const Dtype* data,
|
__global Dtype* out,
|
__local Dtype *out_tmp,
|
__local Dtype *scale_tmp,
|
__local Dtype *group_tmp) {
|
int n = get_global_id(1);
|
for (int index = get_global_id(0), s = 0; index < spatial_dim * get_local_size(0); index +=
|
get_global_size(0), ++s) {
|
Dtype maxval = -DTYPE_MAX;
|
for (int c = get_global_id(0); c < channels; c += get_global_size(0)) {
|
Dtype tmp = data[(n * channels + c) * spatial_dim + s];
|
maxval = max((Dtype)tmp, (Dtype)maxval);
|
}
|
maxval = sub_group_reduce_max(maxval);
|
group_tmp[get_sub_group_id() * spatial_dim + s] = maxval;
|
}
|
barrier(CLK_LOCAL_MEM_FENCE);
|
for (int index = get_global_id(0); index < spatial_dim * get_max_sub_group_size(); index +=
|
get_global_size(0)) {
|
int s = index / get_max_sub_group_size();
|
Dtype maxval = sub_group_reduce_max(group_tmp[get_sub_group_local_id() * spatial_dim + s]);
|
scale_tmp[s] = maxval;
|
}
|
barrier(CLK_LOCAL_MEM_FENCE);
|
for (int index = get_global_id(0); index < channels * spatial_dim;
|
index += get_global_size(0)) {
|
int s = index % spatial_dim;
|
out_tmp[index] = exp(data[n * channels * spatial_dim + index] - scale_tmp[s]);
|
}
|
barrier(CLK_LOCAL_MEM_FENCE);
|
for (int index = get_global_id(0), s = 0; index < spatial_dim * get_local_size(0); index +=
|
get_global_size(0), ++s) {
|
Dtype sum = 0;
|
for (int c = get_global_id(0); c < channels; c += get_global_size(0)) {
|
sum += out_tmp[c * spatial_dim + s];
|
}
|
sum = sub_group_reduce_add(sum);
|
group_tmp[get_sub_group_id() * spatial_dim + s] = sum;
|
}
|
barrier(CLK_LOCAL_MEM_FENCE);
|
for (int index = get_global_id(0); index < spatial_dim * get_max_sub_group_size(); index +=
|
get_global_size(0)) {
|
int s = index / get_max_sub_group_size();
|
Dtype sum = sub_group_reduce_add(group_tmp[get_sub_group_local_id() * spatial_dim + s]);
|
scale_tmp[s] = sum;
|
}
|
barrier(CLK_LOCAL_MEM_FENCE);
|
for (int index = get_global_id(0); index < channels * spatial_dim;
|
index += get_global_size(0)) {
|
int s = index % spatial_dim;
|
Dtype v = out_tmp[index] / scale_tmp[s];
|
#ifdef LOG_SOFTMAX
|
v = log(v);
|
#endif
|
out[n * channels * spatial_dim + index] = v;
|
}
|
}
|
__kernel void TEMPLATE(softmax_forward,Dtype)(const int num, const int channels,
|
const int spatial_dim,
|
__global Dtype* scale,
|
__global const Dtype* data,
|
__global Dtype* out) {
|
int n = get_global_id(1);
|
__global Dtype *group_tmp = scale + spatial_dim * num + n * get_max_sub_group_size() * spatial_dim;
|
for (int index = get_global_id(0), s = 0; index < spatial_dim * get_local_size(0); index +=
|
get_global_size(0), ++s) {
|
Dtype maxval = -DTYPE_MAX;
|
for (int c = get_global_id(0); c < channels; c += get_global_size(0)) {
|
Dtype tmp = data[(n * channels + c) * spatial_dim + s];
|
maxval = max((Dtype)tmp, (Dtype)maxval);
|
}
|
maxval = sub_group_reduce_max(maxval);
|
group_tmp[get_sub_group_id() * spatial_dim + s] = maxval;
|
}
|
barrier(CLK_GLOBAL_MEM_FENCE);
|
for (int index = get_global_id(0); index < spatial_dim * get_max_sub_group_size(); index +=
|
get_global_size(0)) {
|
int s = index / get_max_sub_group_size();
|
Dtype maxval = sub_group_reduce_max(group_tmp[get_sub_group_local_id() * spatial_dim + s]);
|
scale[n * spatial_dim + s] = maxval;
|
}
|
barrier(CLK_GLOBAL_MEM_FENCE);
|
for (int index = get_global_id(0); index < channels * spatial_dim;
|
index += get_global_size(0)) {
|
int s = index % spatial_dim;
|
out[n * channels * spatial_dim + index] = exp(data[n * channels * spatial_dim + index] - scale[n * spatial_dim + s]);
|
}
|
barrier(CLK_GLOBAL_MEM_FENCE);
|
for (int index = get_global_id(0), s = 0; index < spatial_dim * get_local_size(0); index +=
|
get_global_size(0), ++s) {
|
Dtype sum = 0;
|
for (int c = get_global_id(0); c < channels; c += get_global_size(0)) {
|
sum += out[n * channels * spatial_dim + c * spatial_dim + s];
|
}
|
sum = sub_group_reduce_add(sum);
|
group_tmp[get_sub_group_id() * spatial_dim + s] = sum;
|
}
|
barrier(CLK_GLOBAL_MEM_FENCE);
|
for (int index = get_global_id(0); index < spatial_dim * get_max_sub_group_size(); index +=
|
get_global_size(0)) {
|
int s = index / get_max_sub_group_size();
|
Dtype sum = sub_group_reduce_add(group_tmp[get_sub_group_local_id() * spatial_dim + s]);
|
scale[n * spatial_dim + s] = sum;
|
}
|
barrier(CLK_GLOBAL_MEM_FENCE);
|
for (int index = get_global_id(0); index < channels * spatial_dim;
|
index += get_global_size(0)) {
|
int s = index % spatial_dim;
|
Dtype v = out[n * channels * spatial_dim + index] / scale[n * spatial_dim + s];
|
#ifdef LOG_SOFTMAX
|
v = log(v);
|
#endif
|
out[n * channels * spatial_dim + index] = v;
|
}
|
}
|
9b1ebb425bf1e67c1294d8bf60783216 softmax /*************************************************************************************
|
* Copyright (c) 2015, Advanced Micro Devices, Inc.
|
* All rights reserved.
|
*
|
* Redistribution and use in source and binary forms, with or without modification,
|
* are permitted provided that the following conditions are met:
|
*
|
* 1. Redistributions of source code must retain the above copyright notice, this
|
* list of conditions and the following disclaimer.
|
*
|
* 2. Redistributions in binary form must reproduce the above copyright notice,
|
* this list of conditions and the following disclaimer in the documentation and/or
|
* other materials provided with the distribution.
|
*
|
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
|
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
|
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
|
* IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
|
* INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
|
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA,
|
* OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
|
* WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
|
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
|
* POSSIBILITY OF SUCH DAMAGE.
|
**************************************************************************************/
|
#if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
__kernel void kernel_channel_max(const int num, const int channels,
|
const int spatial_dim, __global const T* data, __global T* out) {
|
int index = get_global_id(0);
|
if(index < num * spatial_dim) {
|
int n = index / spatial_dim;
|
int s = index % spatial_dim;
|
T maxval = -FLT_MAX;
|
for (int c = 0; c < channels; ++c) {
|
maxval = max(data[(n * channels + c) * spatial_dim + s], maxval);
|
}
|
out[index] = maxval;
|
}
|
}
|
__kernel void kernel_channel_subtract(const int count,
|
const int num, const int channels,
|
const int spatial_dim, __global const T* channel_max, __global const T* src, __global T* data) {
|
int index = get_global_id(0);
|
if(index < count) {
|
int n = index / channels / spatial_dim;
|
int s = index % spatial_dim;
|
data[index] = exp(src[index] - channel_max[n * spatial_dim + s]);
|
}
|
}
|
__kernel void kernel_channel_sum(const int num, const int channels,
|
const int spatial_dim, __global const T* data, __global T* channel_sum) {
|
int index = get_global_id(0);
|
if(index < num * spatial_dim) {
|
int n = index / spatial_dim;
|
int s = index % spatial_dim;
|
T sum = 0;
|
for (int c = 0; c < channels; ++c) {
|
sum += data[(n * channels + c) * spatial_dim + s];
|
}
|
channel_sum[index] = sum;
|
}
|
}
|
__kernel void kernel_channel_div(const int count,
|
const int num, const int channels,
|
const int spatial_dim, __global const T* channel_sum, __global T* data) {
|
int index = get_global_id(0);
|
if(index < count) {
|
int n = index / channels / spatial_dim;
|
int s = index % spatial_dim;
|
T v = data[index] / channel_sum[n * spatial_dim + s];
|
#ifdef LOG_SOFTMAX
|
v = log(v);
|
#endif
|
data[index] = v;
|
}
|
}
|
db5bfbbe4215a169392800a28b6834c4 slice #if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
__kernel void slice(__global const Dtype* src,
|
const int src_plane_size,
|
const int dst_plane_size,
|
const int src_cols,
|
const int dst_cols,
|
const int row_offset,
|
const int col_offset,
|
__global Dtype* dst)
|
{
|
unsigned int row_gid = get_group_id(0);
|
unsigned int lid = get_local_id(0);
|
const __global Dtype *src_read = src + row_gid * 4 * src_plane_size;
|
__global Dtype *dst_read = dst + row_gid * 4 * dst_plane_size;
|
Dtype4 a0, a1, a2, a3;
|
int i = lid;
|
while( i < dst_plane_size / 4)
|
{
|
int row = (4 * i) / dst_cols + row_offset;
|
int col = (4 * i) % dst_cols + col_offset;
|
int src_index = row * src_cols + col;
|
a0 = vload4(0, src_read + src_index);
|
a1 = vload4(0, src_read + src_index + src_plane_size);
|
a2 = vload4(0, src_read + src_index + 2 * src_plane_size);
|
a3 = vload4(0, src_read + src_index + 3 * src_plane_size);
|
vstore4(a0, i, dst_read);
|
vstore4(a1, i, dst_read + dst_plane_size);
|
vstore4(a2, i, dst_read + 2 * dst_plane_size);
|
vstore4(a3, i, dst_read + 3 * dst_plane_size);
|
i += get_local_size(0);
|
}
|
}
|
69f2ad1756c07f2049ae3d8b57197cc0 region #define Dtype float
|
__kernel void logistic_activ(const int count,
|
__global const Dtype* src,
|
const int cell_size,
|
__global Dtype* dst)
|
{
|
for (int i = get_global_id(0); i < count; i += get_global_size(0))
|
{
|
int index = cell_size * i;
|
Dtype x = src[index + 4];
|
dst[index + 4] = 1.f / (1.f + exp(-x));
|
}
|
}
|
__kernel void softmax_activ(const int count,
|
__global const Dtype* src,
|
__global const Dtype* biasData,
|
const int cell_size,
|
const int classes,
|
const int classfix,
|
const int rows,
|
const int cols,
|
const int anchors,
|
const float thresh,
|
__global Dtype* dst)
|
{
|
for (int index = get_global_id(0); index < count; index += get_global_size(0))
|
{
|
int box_index = index * cell_size;
|
float largest = -FLT_MAX;
|
__global const Dtype *input = src + box_index + 5;
|
__global Dtype *output = dst + box_index + 5;
|
for (int i = 0; i < classes; ++i)
|
largest = fmax(largest, input[i]);
|
float sum = 0;
|
for (int i = 0; i < classes; ++i)
|
{
|
float e = exp((input[i] - largest));
|
sum += e;
|
output[i] = e;
|
}
|
int y = (index / (anchors * cols)) % rows;
|
int x = (index / anchors) % cols;
|
int a = index % anchors;
|
float scale = dst[box_index + 4];
|
if (classfix == -1 && scale < .5) scale = 0;
|
float v1 = src[box_index + 0];
|
float v2 = src[box_index + 1];
|
float l1 = 1.f / (1.f + exp(-v1));
|
float l2 = 1.f / (1.f + exp(-v2));
|
dst[box_index + 0] = (x + l1) / cols;
|
dst[box_index + 1] = (y + l2) / rows;
|
dst[box_index + 2] = exp(src[box_index + 2]) * biasData[2 * a] / cols;
|
dst[box_index + 3] = exp(src[box_index + 3]) * biasData[2 * a + 1] / rows;
|
for (int i = 0; i < classes; ++i)
|
{
|
float prob = scale * output[i] / sum;
|
output[i] = (prob > thresh) ? prob : 0;
|
}
|
}
|
}
|
974d8f1dbe16bfbf98914ab49bd55d11 prior_box #if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
__kernel void prior_box(const int nthreads,
|
const float stepX,
|
const float stepY,
|
__global const float* _offsetsX,
|
__global const float* _offsetsY,
|
const int offsetsX_size,
|
__global const float* _widths,
|
__global const float* _heights,
|
const int widths_size,
|
__global Dtype* dst,
|
const int _layerHeight,
|
const int _layerWidth,
|
const int imgHeight,
|
const int imgWidth)
|
{
|
for (int index = get_global_id(0); index < nthreads; index += get_global_size(0))
|
{
|
int w = index % _layerWidth;
|
int h = index / _layerWidth;
|
__global Dtype* outputPtr;
|
outputPtr = dst + index * 4 * offsetsX_size * widths_size;
|
float _boxWidth, _boxHeight;
|
Dtype4 vec;
|
for (int i = 0; i < widths_size; ++i)
|
{
|
_boxWidth = _widths[i];
|
_boxHeight = _heights[i];
|
for (int j = 0; j < offsetsX_size; ++j)
|
{
|
Dtype center_x = (w + _offsetsX[j]) * (Dtype)stepX;
|
Dtype center_y = (h + _offsetsY[j]) * (Dtype)stepY;
|
vec.x = (center_x - _boxWidth * 0.5f) / imgWidth;
|
vec.y = (center_y - _boxHeight * 0.5f) / imgHeight;
|
vec.z = (center_x + _boxWidth * 0.5f) / imgWidth;
|
vec.w = (center_y + _boxHeight * 0.5f) / imgHeight;
|
vstore4(vec, 0, outputPtr);
|
outputPtr += 4;
|
}
|
}
|
}
|
}
|
__kernel void set_variance(const int nthreads,
|
const int offset,
|
const int variance_size,
|
__global const float* variance,
|
__global Dtype* dst)
|
{
|
for (int index = get_global_id(0); index < nthreads; index += get_global_size(0))
|
{
|
Dtype4 var_vec;
|
if (variance_size == 1)
|
var_vec = (Dtype4)(variance[0]);
|
else
|
var_vec = convert_T(vload4(0, variance));
|
vstore4(var_vec, 0, dst + offset + index * 4);
|
}
|
}
|
__kernel void clip(const int nthreads,
|
__global Dtype* dst)
|
{
|
for (int index = get_global_id(0); index < nthreads; index += get_global_size(0))
|
{
|
Dtype4 vec = vload4(index, dst);
|
vstore4(clamp(vec, 0.0f, 1.0f), index, dst);
|
}
|
}
|
50650b0f4c8a379dce01a6ae48cfa7ab pooling /*************************************************************************************
|
* Copyright (c) 2015, Advanced Micro Devices, Inc.
|
* All rights reserved.
|
*
|
* Redistribution and use in source and binary forms, with or without modification,
|
* are permitted provided that the following conditions are met:
|
*
|
* 1. Redistributions of source code must retain the above copyright notice, this
|
* list of conditions and the following disclaimer.
|
*
|
* 2. Redistributions in binary form must reproduce the above copyright notice,
|
* this list of conditions and the following disclaimer in the documentation and/or
|
* other materials provided with the distribution.
|
*
|
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
|
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
|
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
|
* IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
|
* INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
|
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA,
|
* OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
|
* WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
|
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
|
* POSSIBILITY OF SUCH DAMAGE.
|
**************************************************************************************/
|
__kernel void MaxPoolForward(const int nthreads,
|
__global T* bottom_data, const int num, const int channels, const int height, const int width,
|
const int pooled_height, const int pooled_width, const int kernel_h, const int kernel_w,
|
const int stride_h, const int stride_w, const int pad_t, const int pad_l, const int pad_b, const int pad_r,
|
__global T* top_data
|
#ifdef MASK
|
, __global float* mask
|
#endif
|
)
|
{
|
int index = get_global_id(0);
|
int tmp = get_global_size(0);
|
for(index; index < nthreads; index += tmp) {
|
int pw = index % pooled_width;
|
int ph = (index / pooled_width) % pooled_height;
|
int c = (index / pooled_width / pooled_height) % channels;
|
int n = index / pooled_width / pooled_height / channels;
|
int hstart = ph * stride_h - pad_t;
|
int wstart = pw * stride_w - pad_l;
|
const int hend = min(hstart + kernel_h, height);
|
const int wend = min(wstart + kernel_w, width);
|
hstart = max(hstart, 0);
|
wstart = max(wstart, 0);
|
T maxval = -FLT_MAX;
|
int maxidx = -1;
|
bottom_data =
|
bottom_data + (n * channels + c) * height * width;
|
for (int h = hstart; h < hend; ++h) {
|
for (int w = wstart; w < wend; ++w) {
|
if (bottom_data[h * width + w] > maxval) {
|
maxidx = h * width + w;
|
maxval = bottom_data[maxidx];
|
}
|
}
|
}
|
top_data[index] = maxval;
|
#ifdef MASK
|
mask[index] = maxidx;
|
#endif
|
}
|
}
|
__kernel void AvePoolForward(const int nthreads,
|
__global T* bottom_data, const int num, const int channels, const int height, const int width,
|
const int pooled_height, const int pooled_width, const int kernel_h, const int kernel_w,
|
const int stride_h, const int stride_w, const int pad_t, const int pad_l, const int pad_b, const int pad_r,
|
__global T* top_data
|
#ifdef MASK
|
, __global float* mask
|
#endif
|
)
|
{
|
int index = get_global_id(0);
|
int tmp = get_global_size(0);
|
for(index; index < nthreads; index+=tmp) {
|
int pw = index % pooled_width;
|
int ph = (index / pooled_width) % pooled_height;
|
int c = (index / pooled_width / pooled_height) % channels;
|
int n = index / pooled_width / pooled_height / channels; int hstart = ph * stride_h - pad_t; int wstart = pw * stride_w - pad_l;
|
int hend = min(hstart + kernel_h, height + pad_b);
|
int wend = min(wstart + kernel_w, width + pad_r);
|
const int pool_size = (hend - hstart) * (wend - wstart);
|
hstart = max(hstart, 0);
|
wstart = max(wstart, 0);
|
hend = min(hend, height);
|
wend = min(wend, width);
|
T aveval = 0;
|
bottom_data =
|
bottom_data + (n * channels + c) * height * width;
|
for (int h = hstart; h < hend; ++h) {
|
for (int w = wstart; w < wend; ++w) {
|
aveval += bottom_data[h * width + w];
|
}
|
}
|
top_data[index] = aveval / pool_size;
|
}
|
}
|
d2fa86ff9f1a4b51458f3caf054ff85f permute #if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
__kernel void permute(const int nthreads,
|
__global Dtype* bottom_data,
|
global int* permute_order,
|
global int* oldStride,
|
global int* newStride,
|
const int num_axes,
|
__global Dtype* top_data)
|
{
|
for (int i = get_global_id(0); i < nthreads; i += get_global_size(0))
|
{
|
int oldPosition = 0;
|
int newPosition = i;
|
for (int j = 0; j < num_axes; ++j)
|
{
|
int order = permute_order[j];
|
oldPosition += (newPosition / newStride[j]) * oldStride[order];
|
newPosition %= newStride[j];
|
}
|
top_data[i] = bottom_data[oldPosition];
|
}
|
}
|
81803672217de8c6fc01de8a6e7f283a ocl4dnn_pooling #define CONCAT(A,B) A##_##B
|
#define TEMPLATE(name,type) CONCAT(name,type)
|
#if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
#if defined KERNEL_MAX_POOL
|
__kernel void
|
#ifdef HAVE_MASK
|
TEMPLATE(max_pool_forward_mask, Dtype)
|
#else
|
TEMPLATE(max_pool_forward, Dtype)
|
#endif
|
(
|
const int nthreads, __global const Dtype* bottom_data,
|
const int channels, const int height, const int width,
|
const int pooled_height, const int pooled_width,
|
__global Dtype* top_data
|
#ifdef HAVE_MASK
|
, __global Dtype* mask
|
#endif
|
)
|
{
|
int index = get_global_id(0);
|
if (index >= nthreads)
|
return;
|
const int pw = index % pooled_width;
|
const int xx = index / pooled_width;
|
const int ph = xx % pooled_height;
|
const int ch = xx / pooled_height;
|
int hstart = ph * STRIDE_H - PAD_T;
|
int wstart = pw * STRIDE_W - PAD_L;
|
Dtype maxval = -FLT_MAX;
|
int maxidx = -1;
|
int in_offset = ch * height * width;
|
for (int h = 0; h < KERNEL_H; ++h)
|
{
|
int off_y = hstart + h;
|
if (off_y >= 0 && off_y < height)
|
{
|
for (int w = 0; w < KERNEL_W; ++w)
|
{
|
int off_x = wstart + w;
|
if (off_x >= 0 && off_x < width)
|
{
|
Dtype val = bottom_data[in_offset + off_y * width + off_x];
|
maxidx = (val > maxval) ? (off_y * width + off_x) : maxidx;
|
maxval = fmax(val, maxval);
|
}
|
}
|
}
|
}
|
top_data[index] = maxval;
|
#ifdef HAVE_MASK
|
mask[index] = maxidx;
|
#endif
|
}
|
#elif defined KERNEL_AVE_POOL
|
__kernel void TEMPLATE(ave_pool_forward, Dtype)(
|
const int nthreads, __global const Dtype* bottom_data,
|
const int channels, const int height, const int width,
|
const int pooled_height, const int pooled_width,
|
__global Dtype* top_data)
|
{
|
int index = get_global_id(0);
|
if (index >= nthreads)
|
return;
|
const int pw = index % pooled_width;
|
const int xx = index / pooled_width;
|
const int ph = xx % pooled_height;
|
const int ch = xx / pooled_height;
|
int hstart = ph * STRIDE_H - PAD_T;
|
int wstart = pw * STRIDE_W - PAD_L;
|
int hend = min(hstart + KERNEL_H, height + PAD_B);
|
int wend = min(wstart + KERNEL_W, width + PAD_R);
|
int pool_size;
|
#ifdef AVE_POOL_PADDING_AREA
|
pool_size = (hend - hstart) * (wend - wstart);
|
hstart = max(hstart, (int)0);
|
wstart = max(wstart, (int)0);
|
hend = min(hend, height);
|
wend = min(wend, width);
|
#else
|
hstart = max(hstart, (int)0);
|
wstart = max(wstart, (int)0);
|
hend = min(hend, height);
|
wend = min(wend, width);
|
pool_size = (hend - hstart) * (wend - wstart);
|
#endif
|
Dtype aveval = 0;
|
int in_offset = ch * height * width;
|
for (int h = hstart; h < hend; ++h)
|
{
|
for (int w = wstart; w < wend; ++w)
|
{
|
aveval += bottom_data[in_offset + h * width + w];
|
}
|
}
|
top_data[index] = aveval / pool_size;
|
}
|
#elif defined KERNEL_STO_POOL
|
__kernel void TEMPLATE(sto_pool_forward_test,Dtype)(
|
const int nthreads, __global const Dtype* bottom_data,
|
const int channels, const int height, const int width,
|
const int pooled_height, const int pooled_width,
|
__global Dtype* top_data)
|
{
|
for (int index = get_global_id(0); index < nthreads;
|
index += get_global_size(0))
|
{
|
const int pw = index % pooled_width;
|
const int ph = (index / pooled_width) % pooled_height;
|
const int c = (index / pooled_width / pooled_height) % channels;
|
const int n = index / pooled_width / pooled_height / channels;
|
const int hstart = ph * STRIDE_H;
|
const int hend = min(hstart + KERNEL_H, height);
|
const int wstart = pw * STRIDE_W;
|
const int wend = min(wstart + KERNEL_W, width);
|
Dtype cumsum = FLT_MIN;
|
Dtype cumvalues = 0.;
|
__global const Dtype* bottom_slice = bottom_data
|
+ (n * channels + c) * height * width;
|
for (int h = hstart; h < hend; ++h) {
|
for (int w = wstart; w < wend; ++w) {
|
Dtype v = bottom_slice[h * width + w];
|
cumsum += v;
|
cumvalues += v * v;
|
}
|
}
|
top_data[index] = cumvalues / cumsum;
|
}
|
}
|
#endif
|
323321c5f6f114f2693c552e81e87230 ocl4dnn_lrn #define CONCAT(A,B) A##_##B
|
#define TEMPLATE(name,type) CONCAT(name,type)
|
#define KERNEL_ARG_DTYPE float
|
#if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
__kernel void TEMPLATE(lrn_full_no_scale,Dtype)(const int nthreads, __global const Dtype* in,
|
const int num, const int channels,
|
const int height, const int width, const int size,
|
const KERNEL_ARG_DTYPE alpha_over_size, const KERNEL_ARG_DTYPE k,
|
__global Dtype* const out,
|
const KERNEL_ARG_DTYPE negative_beta) {
|
for (int index = get_global_id(0); index < nthreads;
|
index += get_global_size(0)) {
|
const int w = index % width;
|
const int h = (index / width) % height;
|
const int n = index / width / height;
|
const int offset = (n * channels * height + h) * width + w;
|
const int step = height * width;
|
__global const Dtype* in_off = in + offset;
|
__global Dtype* out_off = out + offset;
|
KERNEL_ARG_DTYPE scale_val;
|
int head = 0;
|
const int pre_pad = (size - 1) / 2;
|
const int post_pad = size - pre_pad - 1;
|
KERNEL_ARG_DTYPE accum_scale = 0;
|
while (head < post_pad && head < channels) {
|
accum_scale += in_off[head * step] * in_off[head * step];
|
++head;
|
}
|
while (head < channels) {
|
accum_scale += in_off[head * step] * in_off[head * step];
|
if (head - size >= 0) {
|
accum_scale -= in_off[(head - size) * step]
|
* in_off[(head - size) * step];
|
}
|
scale_val = k + accum_scale * alpha_over_size;
|
out_off[(head - post_pad) * step] = in_off[(head - post_pad) * step] * (Dtype)native_powr((Dtype)scale_val, (Dtype)negative_beta);
|
++head;
|
}
|
while (head < channels + post_pad) {
|
if (head - size >= 0) {
|
accum_scale -= in_off[(head - size) * step]
|
* in_off[(head - size) * step];
|
}
|
scale_val = k + accum_scale * alpha_over_size;
|
out_off[(head - post_pad) * step] = in_off[(head - post_pad) * step] * (Dtype)native_powr((Dtype)scale_val, (Dtype)negative_beta);
|
++head;
|
}
|
}
|
}
|
2c12d1dad5ecee2765f5c79c0b490589 mvn #if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
#define Dtype float
|
#define Dtype4 float4
|
#define Dtype8 float8
|
#if NUM == 8
|
#define load(src, index) vload8(0, src + index)
|
#define store(vec, dst, index) vstore8(vec, 0, dst + index)
|
#define vec_type Dtype8
|
#define CALC_MEAN calc_mean8
|
#define MVN mvn8
|
#define MEAN_FUSE mean_fuse8
|
#define MVN_FUSE mvn_fuse8
|
#elif NUM == 4
|
#define load(src, index) vload4(0, src + index)
|
#define store(vec, dst, index) vstore4(vec, 0, dst + index)
|
#define vec_type Dtype4
|
#define CALC_MEAN calc_mean4
|
#define MVN mvn4
|
#define MEAN_FUSE mean_fuse4
|
#define MVN_FUSE mvn_fuse4
|
#elif NUM == 1
|
#define load(src, index) src[index]
|
#define store(vec, dst, index) dst[index] = vec
|
#define vec_type Dtype
|
#define CALC_MEAN calc_mean1
|
#define MVN mvn1
|
#define MEAN_FUSE mean_fuse1
|
#define MVN_FUSE mvn_fuse1
|
#endif
|
__kernel void CALC_MEAN(__global const Dtype* src,
|
const int rows,
|
const int cols,
|
__global Dtype* mean,
|
__global Dtype* dst)
|
{
|
int x = get_global_id(0);
|
int y = get_global_id(1) * NUM;
|
int index = x * cols + y;
|
if (x >= rows || y >= cols)
|
return;
|
Dtype mean_val = mean[x];
|
vec_type src_vec = load(src, index);
|
vec_type dst_vec = src_vec - (vec_type)mean_val;
|
dst_vec = dst_vec * dst_vec;
|
store(dst_vec, dst, index);
|
}
|
__kernel void MVN(__global const Dtype* src,
|
const int rows,
|
const int cols,
|
const Dtype eps,
|
__global const Dtype* mean,
|
__global const Dtype* dev,
|
__global const Dtype* bnorm_weight,
|
__global const Dtype* bnorm_bias,
|
const int channels,
|
const float relu_slope,
|
__global Dtype* dst)
|
{
|
int x = get_global_id(0);
|
int y = get_global_id(1) * NUM;
|
int index = x * cols + y;
|
if (x >= rows || y >= cols)
|
return;
|
Dtype mean_val = mean[x];
|
Dtype dev_val = sqrt(dev[x]);
|
Dtype alpha;
|
#ifdef NORM_VARIANCE
|
alpha = 1 / (eps + dev_val);
|
#else
|
alpha = 1;
|
#endif
|
Dtype w = 1.f, b = 0.f;
|
#ifdef FUSE_BATCH_NORM
|
w = bnorm_weight[x % channels];
|
b = bnorm_bias[x % channels];
|
#endif
|
vec_type src_vec = load(src, index) - (vec_type)mean_val;
|
vec_type dst_vec = src_vec * alpha;
|
dst_vec = dst_vec * w + (vec_type)b;
|
#ifdef FUSE_RELU
|
vec_type new_val = dst_vec * relu_slope;
|
dst_vec = select(new_val, dst_vec, dst_vec > (vec_type)0.f);
|
#endif
|
store(dst_vec, dst, index);
|
}
|
__kernel void MEAN_FUSE(__global const T * A,
|
unsigned int A_col_size,
|
float alpha,
|
__global T4 * mean,
|
__global Dtype * tmp,
|
__local Dtype4 * work)
|
{
|
unsigned int row_gid = get_group_id(0);
|
unsigned int lid = get_local_id(0);
|
const __global T *src0_read = A + row_gid * 4 * A_col_size;
|
__global Dtype *dst0_read = tmp + row_gid * 4 * A_col_size;
|
Dtype4 dot0, dot1, dot2, dot3;
|
dot0 = dot1 = dot2 = dot3 = (Dtype4)(0.f);
|
unsigned int i = lid;
|
const Dtype4 b0 = (Dtype4)1.f;
|
while( i < A_col_size / 4)
|
{
|
const T4 a0 = vload4(i, src0_read);
|
const T4 a1 = vload4(i, src0_read + A_col_size);
|
const T4 a2 = vload4(i, src0_read + 2 * A_col_size);
|
const T4 a3 = vload4(i, src0_read + 3 * A_col_size);
|
dot0 += convert_float4(a0);
|
dot1 += convert_float4(a1);
|
dot2 += convert_float4(a2);
|
dot3 += convert_float4(a3);
|
i += get_local_size(0);
|
}
|
work[lid].s0 = dot(dot0, b0);
|
work[lid].s1 = dot(dot1, b0);
|
work[lid].s2 = dot(dot2, b0);
|
work[lid].s3 = dot(dot3, b0);
|
for(unsigned int stride=get_local_size(0)/2 ; stride>0 ; stride>>=1)
|
{
|
barrier(CLK_LOCAL_MEM_FENCE);
|
if(lid < stride)
|
work[lid] += work[lid+stride];
|
}
|
barrier(CLK_LOCAL_MEM_FENCE);
|
if(lid == 0)
|
{
|
mean[row_gid] = convert_T(alpha * work[0]);
|
}
|
Dtype4 sum = work[0] * alpha;
|
i = lid;
|
while( i < A_col_size / 4)
|
{
|
const T4 a0 = vload4(i, src0_read);
|
const T4 a1 = vload4(i, src0_read + A_col_size);
|
const T4 a2 = vload4(i, src0_read + 2 * A_col_size);
|
const T4 a3 = vload4(i, src0_read + 3 * A_col_size);
|
dot0 = convert_float4(a0) - (Dtype4)sum.x;
|
dot1 = convert_float4(a1) - (Dtype4)sum.y;
|
dot2 = convert_float4(a2) - (Dtype4)sum.z;
|
dot3 = convert_float4(a3) - (Dtype4)sum.w;
|
dot0 = dot0 * dot0;
|
dot1 = dot1 * dot1;
|
dot2 = dot2 * dot2;
|
dot3 = dot3 * dot3;
|
vstore4(dot0, i, dst0_read);
|
vstore4(dot1, i, dst0_read + A_col_size);
|
vstore4(dot2, i, dst0_read + 2 * A_col_size);
|
vstore4(dot3, i, dst0_read + 3 * A_col_size);
|
i += get_local_size(0);
|
}
|
}
|
__kernel void MVN_FUSE(__global const Dtype * tmp,
|
__global const T * A,
|
__global const T4 * mean,
|
unsigned int A_col_size,
|
const float alpha_val,
|
const float eps,
|
const float relu_slope,
|
__global const Dtype4 * bnorm_weight,
|
__global const Dtype4 * bnorm_bias,
|
__global T * B,
|
__local Dtype4 * work)
|
{
|
unsigned int row_gid = get_group_id(0);
|
unsigned int lid = get_local_id(0);
|
const __global Dtype *src0_read = tmp + row_gid * 4 * A_col_size;
|
const __global T *src1_read = A + row_gid * 4 * A_col_size;
|
__global T *dst0_read = B + row_gid * 4 * A_col_size;
|
Dtype4 dot0, dot1, dot2, dot3;
|
dot0 = dot1 = dot2 = dot3 = (Dtype4)(0.f);
|
unsigned int i = lid;
|
const Dtype4 b0 = (Dtype4)1.f;
|
while( i < A_col_size / 4)
|
{
|
const Dtype4 a0 = vload4(i, src0_read);
|
const Dtype4 a1 = vload4(i, src0_read + A_col_size);
|
const Dtype4 a2 = vload4(i, src0_read + 2 * A_col_size);
|
const Dtype4 a3 = vload4(i, src0_read + 3 * A_col_size);
|
dot0 += a0;
|
dot1 += a1;
|
dot2 += a2;
|
dot3 += a3;
|
i += get_local_size(0);
|
}
|
work[lid].s0 = dot(dot0, b0);
|
work[lid].s1 = dot(dot1, b0);
|
work[lid].s2 = dot(dot2, b0);
|
work[lid].s3 = dot(dot3, b0);
|
for(unsigned int stride=get_local_size(0)/2 ; stride>0 ; stride>>=1)
|
{
|
barrier(CLK_LOCAL_MEM_FENCE);
|
if(lid < stride)
|
work[lid] += work[lid+stride];
|
}
|
barrier(CLK_LOCAL_MEM_FENCE);
|
Dtype4 mean_val = convert_float4(mean[row_gid]);
|
Dtype4 dev_val = sqrt(work[0] * alpha_val) + (Dtype4)eps;
|
Dtype4 alpha = (Dtype4)1.f / dev_val;
|
Dtype4 w = (Dtype4)1.f;
|
Dtype4 b = (Dtype4)0.f;
|
#ifdef FUSE_BATCH_NORM
|
w = bnorm_weight[row_gid];
|
b = bnorm_bias[row_gid];
|
#endif
|
i = lid;
|
while( i < A_col_size / 4)
|
{
|
const T4 a0 = vload4(i, src1_read);
|
const T4 a1 = vload4(i, src1_read + A_col_size);
|
const T4 a2 = vload4(i, src1_read + 2 * A_col_size);
|
const T4 a3 = vload4(i, src1_read + 3 * A_col_size);
|
dot0 = (convert_float4(a0) - (Dtype4)mean_val.x) * alpha.x;
|
dot1 = (convert_float4(a1) - (Dtype4)mean_val.y) * alpha.y;
|
dot2 = (convert_float4(a2) - (Dtype4)mean_val.z) * alpha.z;
|
dot3 = (convert_float4(a3) - (Dtype4)mean_val.w) * alpha.w;
|
dot0 = dot0 * w.x + (Dtype4)b.x;
|
dot1 = dot1 * w.y + (Dtype4)b.y;
|
dot2 = dot2 * w.z + (Dtype4)b.z;
|
dot3 = dot3 * w.w + (Dtype4)b.w;
|
#ifdef FUSE_RELU
|
Dtype4 new0 = dot0 * relu_slope;
|
dot0 = select(new0, dot0, dot0 > (Dtype4)0.f);
|
Dtype4 new1 = dot1 * relu_slope;
|
dot1 = select(new1, dot1, dot1 > (Dtype4)0.f);
|
Dtype4 new2 = dot2 * relu_slope;
|
dot2 = select(new2, dot2, dot2 > (Dtype4)0.f);
|
Dtype4 new3 = dot3 * relu_slope;
|
dot3 = select(new3, dot3, dot3 > (Dtype4)0.f);
|
#endif
|
vstore4(convert_T(dot0), i, dst0_read);
|
vstore4(convert_T(dot1), i, dst0_read + A_col_size);
|
vstore4(convert_T(dot2), i, dst0_read + 2 * A_col_size);
|
vstore4(convert_T(dot3), i, dst0_read + 3 * A_col_size);
|
i += get_local_size(0);
|
}
|
}
|
432f0507ea7bcf62656595551a2cf9c0 matvec_mul #if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
#define CONCAT(A,B) A##_##B
|
#define TEMPLATE(name,type) CONCAT(name,type)
|
#define KERNEL_ARG_DTYPE float
|
__kernel void TEMPLATE(matvec_mul4,Dtype)(
|
__global const Dtype * A,
|
int offA,
|
unsigned int A_col_size,
|
unsigned int trail_item,
|
__global const Dtype * v,
|
int offv,
|
KERNEL_ARG_DTYPE alpha,
|
KERNEL_ARG_DTYPE beta,
|
__global Dtype4* result,
|
int offr,
|
__local Dtype4* work)
|
{
|
unsigned int row_gid = get_group_id(0);
|
unsigned int lid = get_local_id(0);
|
const __global Dtype *src0_read = A + row_gid * 4 * A_col_size + offA;
|
const __global Dtype *src1_read = v + offv;
|
result = (__global Dtype4*)((__global Dtype*)result + offr);
|
Dtype4 dot0 = (Dtype4)(0.f);
|
Dtype4 dot1 = (Dtype4)(0.f);
|
Dtype4 dot2 = (Dtype4)(0.f);
|
Dtype4 dot3 = (Dtype4)(0.f);
|
unsigned int i = lid;
|
while( i < A_col_size / 4) {
|
const Dtype4 a0 = vload4(i, src0_read);
|
const Dtype4 a1 = vload4(i, src0_read + A_col_size);
|
const Dtype4 a2 = vload4(i, src0_read + 2 * A_col_size);
|
const Dtype4 a3 = vload4(i, src0_read + 3 * A_col_size);
|
const Dtype4 b0 = vload4(i, src1_read);
|
dot0 += a0 * b0;
|
dot1 += a1 * b0;
|
dot2 += a2 * b0;
|
dot3 += a3 * b0;
|
i += get_local_size(0);
|
}
|
work[lid].s0 = dot0.x + dot0.y + dot0.z + dot0.w;
|
work[lid].s1 = dot1.x + dot1.y + dot1.z + dot1.w;
|
work[lid].s2 = dot2.x + dot2.y + dot2.z + dot2.w;
|
work[lid].s3 = dot3.x + dot3.y + dot3.z + dot3.w;
|
if(i == A_col_size / 4)
|
{
|
if(trail_item != 0)
|
{
|
const __global Dtype *src0_trail = src0_read + i * 4;
|
const __global Dtype *src1_trail = src1_read + i * 4;
|
for(unsigned int i = 0; i < trail_item; ++i) {
|
const Dtype at0 = src0_trail[i];
|
const Dtype at1 = src0_trail[i + A_col_size];
|
const Dtype at2 = src0_trail[i + 2 * A_col_size];
|
const Dtype at3 = src0_trail[i + 3 * A_col_size];
|
const Dtype bt = src1_trail[i];
|
work[lid].s0 += at0 * bt;
|
work[lid].s1 += at1 * bt;
|
work[lid].s2 += at2 * bt;
|
work[lid].s3 += at3 * bt;
|
}
|
}
|
}
|
for(unsigned int stride=get_local_size(0)/2 ; stride>0 ; stride>>=1) {
|
barrier(CLK_LOCAL_MEM_FENCE);
|
if(lid < stride)
|
work[lid] += work[lid+stride];
|
}
|
if(lid == 0) {
|
if(beta == (Dtype)0)
|
result[row_gid] = convert_Dtype(alpha) * work[0];
|
else
|
result[row_gid] = convert_Dtype(alpha) * work[0] + convert_Dtype(beta) * result[row_gid];
|
}
|
}
|
__kernel void TEMPLATE(matvec_mul1,Dtype)(
|
__global const Dtype * A,
|
int offA,
|
unsigned int A_col_size,
|
unsigned int row_offset,
|
unsigned int trail_item,
|
__global const Dtype * v,
|
int offv,
|
KERNEL_ARG_DTYPE alpha,
|
KERNEL_ARG_DTYPE beta,
|
__global Dtype * result,
|
int offr,
|
__local Dtype * work)
|
{
|
unsigned int row_gid = get_group_id(0);
|
unsigned int lid = get_local_id(0);
|
const __global Dtype *src0_read = A + (row_offset + row_gid) * A_col_size + offA;
|
const __global Dtype *src1_read = v + + offv;
|
result = result + offr;
|
Dtype4 dot0 = (Dtype4)(0.f);
|
unsigned int i = lid;
|
while( i < A_col_size / 4)
|
{
|
const Dtype4 a0 = vload4(i, src0_read);
|
const Dtype4 b0 = vload4(i, src1_read);
|
dot0 += a0 * b0;
|
i += get_local_size(0);
|
}
|
work[lid] = dot0.x + dot0.y + dot0.z + dot0.w;
|
if(i == A_col_size / 4)
|
{
|
if(trail_item != 0)
|
{
|
const __global Dtype *src0_trail = src0_read + i * 4;
|
const __global Dtype *src1_trail = src1_read + i * 4;
|
for(unsigned int i = 0; i < trail_item; ++i) {
|
const Dtype at0 = src0_trail[i];
|
const Dtype bt = src1_trail[i];
|
work[lid] += at0 * bt;
|
}
|
}
|
}
|
for(unsigned int stride=get_local_size(0)/2 ; stride>0 ; stride>>=1) {
|
barrier(CLK_LOCAL_MEM_FENCE);
|
if(lid < stride)
|
work[lid] += work[lid+stride];
|
}
|
if(lid == 0) {
|
if(beta == (Dtype)0) {
|
result[row_gid+row_offset] = convert_Dtype(alpha) * work[0];
|
} else {
|
result[row_gid+row_offset] *= convert_Dtype(beta);
|
result[row_gid+row_offset] += convert_Dtype(alpha) * work[0];
|
}
|
}
|
}
|
b1ea7917f8161740ee6102617a54cfe1 math #if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
#define CONCAT(A,B) A##_##B
|
#define TEMPLATE(name,type) CONCAT(name,type)
|
#define KERNEL_ARG_DTYPE float
|
__kernel void TEMPLATE(axpy,Dtype)(const int n, const KERNEL_ARG_DTYPE alpha, __global const Dtype* x,
|
const int offx, __global Dtype* y,
|
const int offy) {
|
for (int index = get_global_id(0); index < n; index += get_global_size(0)) {
|
Dtype src = x[offx + index];
|
Dtype dst = y[offy + index];
|
y[offy + index] = convert_Dtype(alpha) * src + dst;
|
}
|
}
|
a76839299bc739767433b6d55915e1b7 lrn /*************************************************************************************
|
* Copyright (c) 2015, Advanced Micro Devices, Inc.
|
* All rights reserved.
|
*
|
* Redistribution and use in source and binary forms, with or without modification,
|
* are permitted provided that the following conditions are met:
|
*
|
* 1. Redistributions of source code must retain the above copyright notice, this
|
* list of conditions and the following disclaimer.
|
*
|
* 2. Redistributions in binary form must reproduce the above copyright notice,
|
* this list of conditions and the following disclaimer in the documentation and/or
|
* other materials provided with the distribution.
|
*
|
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
|
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
|
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
|
* IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
|
* INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
|
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA,
|
* OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
|
* WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
|
* ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
|
* POSSIBILITY OF SUCH DAMAGE.
|
**************************************************************************************/
|
__kernel void LRNComputeOutput(const int nthreads, __global T* in, __global T* scale, const T negative_beta, __global T* out) {
|
int index = get_global_id(0);
|
int tmp = get_global_size(0);
|
for(index; index < nthreads; index += tmp)
|
out[index] = in[index] * pow(scale[index], negative_beta);
|
}
|
__kernel void LRNFillScale(const int nthreads, __global T* in, const int num, const int channels, const int height, const int width, const int size, const T alpha_over_size, const T k, __global T* scale) {
|
int index = get_global_id(0);
|
int tmp = get_global_size(0);
|
for(index; index < nthreads; index += tmp) {
|
const int w = index % width;
|
const int h = (index / width) % height;
|
const int n = index / width / height;
|
const int offset = (n * channels * height + h) * width + w;
|
const int step = height * width;
|
in = in + offset;
|
scale = scale + offset;
|
int head = 0;
|
const int pre_pad = (size - 1) / 2;
|
const int post_pad = size - pre_pad - 1;
|
T accum_scale = 0;
|
while (head < post_pad && head < channels) {
|
accum_scale += in[head * step] * in[head * step];
|
++head;
|
}
|
while (head < channels) {
|
accum_scale += in[head * step] * in[head * step];
|
if (head - size >= 0) {
|
accum_scale -= in[(head - size) * step]
|
* in[(head - size) * step];
|
}
|
scale[(head - post_pad) * step] = k + accum_scale * alpha_over_size;
|
++head;
|
}
|
while (head < channels + post_pad) {
|
if (head - size >= 0) {
|
accum_scale -= in[(head - size) * step]
|
* in[(head - size) * step];
|
}
|
scale[(head - post_pad) * step] = k + accum_scale * alpha_over_size;
|
++head;
|
}
|
}
|
}
|
0c65eb40713b6261f88bfa6731e32733 im2col __kernel void im2col(__global const T *im_src, int im_src_offset,
|
int channels, int height_inp, int width_inp,
|
int kernel_h, int kernel_w, int pad_h, int pad_w, int stride_h, int stride_w,
|
int height_out, int width_out,
|
__global T *im_col, int im_col_offset
|
)
|
{
|
int index = get_global_id(0);
|
if (index >= height_out * width_out * channels)
|
return;
|
int j_out = index % width_out;
|
int i_out = (index / width_out) % height_out;
|
int c_inp = (index / width_out) / height_out;
|
int c_out = c_inp * kernel_h * kernel_w;
|
int i_inp = i_out * stride_h - pad_h;
|
int j_inp = j_out * stride_w - pad_w;
|
im_src += (c_inp * height_inp + i_inp) * width_inp + j_inp + im_src_offset;
|
im_col += (c_out * height_out + i_out) * width_out + j_out + im_col_offset;
|
for (int ki = 0; ki < kernel_h; ++ki)
|
for (int kj = 0; kj < kernel_w; ++kj) {
|
int i = i_inp + ki;
|
int j = j_inp + kj;
|
*im_col = (i >= 0 && j >= 0 && i < height_inp && j < width_inp) ?
|
im_src[ki * width_inp + kj] : 0;
|
im_col += height_out * width_out;
|
}
|
}
|
609f199a321eef4535e1eff3ab281090 gemm_image #if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
#define CONCAT(A,B) A##_##B
|
#define TEMPLATE(name,type) CONCAT(name,type)
|
#define KERNEL_ARG_DTYPE float
|
#define TYPE_FLOAT 1
|
#define TYPE_HALF 2
|
#if TYPE == TYPE_HALF
|
#define Dtype half
|
#define Dtype2 half2
|
#define Dtype4 half4
|
#define Dtype8 half8
|
#define Dtype16 half16
|
#define as_Dtype as_half
|
#define as_Dtype2 as_half2
|
#define as_Dtype4 as_half4
|
#define as_Dtype8 as_half8
|
#define as_Dtype16 as_half16
|
#else
|
#define Dtype float
|
#define Dtype2 float2
|
#define Dtype4 float4
|
#define Dtype8 float8
|
#define Dtype16 float16
|
#define as_Dtype as_float
|
#define as_Dtype2 as_float2
|
#define as_Dtype4 as_float4
|
#define as_Dtype8 as_float8
|
#define as_Dtype16 as_float16
|
#endif
|
#if defined(cl_intel_subgroups)
|
#pragma OPENCL EXTENSION cl_intel_subgroups : enable
|
#endif
|
#define TILE_M 32
|
#define TILE_K 8
|
#if TYPE == TYPE_HALF
|
#define SUBGROUP_BLOCK_READ8( __image, __coord ) intel_sub_group_block_read_us8( __image, __coord )
|
#define SHUFFLE_TYPE2(val) as_ushort2(val)
|
#define SHUFFLE_TYPE8(val) as_ushort8(val)
|
#define READ_IMAGE(__image, __coord) read_imageh(__image, sampler, __coord)
|
#define SIZE_OF_ELEMENT sizeof(ushort)
|
#define SIMD_SIZE_GEMM 16
|
#define TILE_N 16
|
#else
|
#define SUBGROUP_BLOCK_READ8( __image, __coord ) intel_sub_group_block_read8( __image, __coord )
|
#define SHUFFLE_TYPE2(val) val
|
#define SHUFFLE_TYPE8(val) val
|
#define READ_IMAGE(__image, __coord) read_imagef(__image, sampler, __coord)
|
#define SIZE_OF_ELEMENT sizeof(uint)
|
#define SIMD_SIZE_GEMM 8
|
#define TILE_N 8
|
#endif
|
#ifdef USE_IMAGE_C
|
#if TYPE == TYPE_HALF
|
#define BLOCKC_READ8( _C, _coordC ) as_Dtype8( intel_sub_group_block_read_us8( _C, _coordC ) )
|
#define BLOCKC_WRITE8( _C, _coordC, _val ) intel_sub_group_block_write_us8( _C, _coordC, as_ushort8( _val ) )
|
#else
|
#define BLOCKC_READ8( _C, _coordC ) as_Dtype8( intel_sub_group_block_read8( _C, _coordC ) )
|
#define BLOCKC_WRITE8( _C, _coordC, _val ) intel_sub_group_block_write8( _C, _coordC, as_uint8( _val ) )
|
#endif
|
#define MATC_PARAMETER __read_only image2d_t C, __write_only image2d_t dst
|
#define GEMM_OUTPUT(ALPHA1, BETA_NOT0) GEMM_OUTPUT_EXT(ALPHA1, BETA_NOT0, C, dst, sizeof(uint))
|
#else
|
#define BLOCKC_READ8( _C, _coordC ) \
|
(Dtype8) ( (_coordC.x + get_local_id(0) < N && _coordC.y < M) ? _C[ _coordC.y * ldc + _coordC.x + get_local_id(0) ] : 0, \
|
(_coordC.x + get_local_id(0) < N && _coordC.y + 1 < M) ? _C[ ( _coordC.y + 1 ) * ldc + _coordC.x + get_local_id(0) ] : 0, \
|
(_coordC.x + get_local_id(0) < N && _coordC.y + 2 < M) ? _C[ ( _coordC.y + 2 ) * ldc + _coordC.x + get_local_id(0) ] : 0, \
|
(_coordC.x + get_local_id(0) < N && _coordC.y + 3 < M) ? _C[ ( _coordC.y + 3 ) * ldc + _coordC.x + get_local_id(0) ] : 0, \
|
(_coordC.x + get_local_id(0) < N && _coordC.y + 4 < M) ? _C[ ( _coordC.y + 4 ) * ldc + _coordC.x + get_local_id(0) ] : 0, \
|
(_coordC.x + get_local_id(0) < N && _coordC.y + 5 < M) ? _C[ ( _coordC.y + 5 ) * ldc + _coordC.x + get_local_id(0) ] : 0, \
|
(_coordC.x + get_local_id(0) < N && _coordC.y + 6 < M) ? _C[ ( _coordC.y + 6 ) * ldc + _coordC.x + get_local_id(0) ] : 0, \
|
(_coordC.x + get_local_id(0) < N && _coordC.y + 7 < M) ? _C[ ( _coordC.y + 7 ) * ldc + _coordC.x + get_local_id(0) ] : 0)
|
#define BLOCKC_WRITE8( _C, _coordC, _val) do {\
|
if (_coordC.x + get_local_id(0) < N) { \
|
if (_coordC.y < M) \
|
_C[ _coordC.y * ldc + _coordC.x + get_local_id(0) ] = _val.s0; \
|
if (_coordC.y + 1 < M) \
|
_C[ ( _coordC.y + 1 )* ldc + _coordC.x + get_local_id(0) ] = _val.s1; \
|
if (_coordC.y + 2 < M) \
|
_C[ ( _coordC.y + 2 )* ldc + _coordC.x + get_local_id(0) ] = _val.s2; \
|
if (_coordC.y + 3 < M) \
|
_C[ ( _coordC.y + 3 )* ldc + _coordC.x + get_local_id(0) ] = _val.s3; \
|
if (_coordC.y + 4 < M) \
|
_C[ ( _coordC.y + 4 )* ldc + _coordC.x + get_local_id(0) ] = _val.s4; \
|
if (_coordC.y + 5 < M) \
|
_C[ ( _coordC.y + 5 )* ldc + _coordC.x + get_local_id(0) ] = _val.s5; \
|
if (_coordC.y + 6 < M) \
|
_C[ ( _coordC.y + 6 )* ldc + _coordC.x + get_local_id(0) ] = _val.s6; \
|
if (_coordC.y + 7 < M) \
|
_C[ ( _coordC.y + 7 )* ldc + _coordC.x + get_local_id(0) ] = _val.s7; \
|
}} while(0)
|
#define MATC_PARAMETER __global Dtype * C, const int offC, const int M, const int N, const int ldc
|
#define GEMM_OUTPUT(ALPHA1, BETA_NOT0) GEMM_OUTPUT_EXT(ALPHA1, BETA_NOT0, (C + offC), (C + offC), 1)
|
#endif
|
#define GEMM_OUTPUT_EXT(ALPHA1, BETA_NOT0, _C, _dst, _C_step) \
|
int2 coordDst = (int2)( ( group_x * TILE_N ) * _C_step, ( group_y * TILE_M ) ); \
|
int2 coordC = coordDst; \
|
Dtype8 blockC00; \
|
Dtype8 blockC01; \
|
Dtype8 blockC02; \
|
Dtype8 blockC03; \
|
if (BETA_NOT0) { \
|
blockC00 = isFirstColBlock ? BLOCKC_READ8( _C, coordC ) * beta : BLOCKC_READ8( _C, coordC ); coordC.y += 8; \
|
blockC01 = isFirstColBlock ? BLOCKC_READ8( _C, coordC ) * beta : BLOCKC_READ8( _C, coordC ); coordC.y += 8; \
|
blockC02 = isFirstColBlock ? BLOCKC_READ8( _C, coordC ) * beta : BLOCKC_READ8( _C, coordC ); coordC.y += 8; \
|
blockC03 = isFirstColBlock ? BLOCKC_READ8( _C, coordC ) * beta : BLOCKC_READ8( _C, coordC ); \
|
if (!ALPHA1) { \
|
blockC00 = mad(blockAxB00, (Dtype8)alpha, blockC00); \
|
blockC01 = mad(blockAxB01, (Dtype8)alpha, blockC01); \
|
blockC02 = mad(blockAxB02, (Dtype8)alpha, blockC02); \
|
blockC03 = mad(blockAxB03, (Dtype8)alpha, blockC03); \
|
} else { \
|
blockC00 += blockAxB00; \
|
blockC01 += blockAxB01; \
|
blockC02 += blockAxB02; \
|
blockC03 += blockAxB03; \
|
} \
|
} else { \
|
blockC00 = isFirstColBlock ? (Dtype)0. : BLOCKC_READ8( _C, coordC ); coordC.y += 8; \
|
blockC01 = isFirstColBlock ? (Dtype)0. : BLOCKC_READ8( _C, coordC ); coordC.y += 8; \
|
blockC02 = isFirstColBlock ? (Dtype)0. : BLOCKC_READ8( _C, coordC ); coordC.y += 8; \
|
blockC03 = isFirstColBlock ? (Dtype)0. : BLOCKC_READ8( _C, coordC ); \
|
if (!ALPHA1) { \
|
blockC00 = mad(blockAxB00, (Dtype8)alpha, blockC00); \
|
blockC01 = mad(blockAxB01, (Dtype8)alpha, blockC01); \
|
blockC02 = mad(blockAxB02, (Dtype8)alpha, blockC02); \
|
blockC03 = mad(blockAxB03, (Dtype8)alpha, blockC03); \
|
} else { \
|
blockC00 += blockAxB00; \
|
blockC01 += blockAxB01; \
|
blockC02 += blockAxB02; \
|
blockC03 += blockAxB03; \
|
} \
|
} \
|
BLOCKC_WRITE8( _dst, coordDst, blockC00 ); coordDst.y += 8; \
|
BLOCKC_WRITE8( _dst, coordDst, blockC01 ); coordDst.y += 8; \
|
BLOCKC_WRITE8( _dst, coordDst, blockC02 ); coordDst.y += 8; \
|
BLOCKC_WRITE8( _dst, coordDst, blockC03 );
|
#define TRANSPOSE_BLOCK_8( _block, _col ) \
|
(Dtype8)( intel_sub_group_shuffle( _block.s0, _col ), \
|
intel_sub_group_shuffle( _block.s1, _col ), \
|
intel_sub_group_shuffle( _block.s2, _col ), \
|
intel_sub_group_shuffle( _block.s3, _col ), \
|
intel_sub_group_shuffle( _block.s4, _col ), \
|
intel_sub_group_shuffle( _block.s5, _col ), \
|
intel_sub_group_shuffle( _block.s6, _col ), \
|
intel_sub_group_shuffle( _block.s7, _col ) );
|
#if TYPE == TYPE_HALF
|
#define MULTIPLY_BLOCKS_8x8( _result, _blockA, _blockB00, _blockB01 ) \
|
{ \
|
const Dtype8 acol0 = TRANSPOSE_BLOCK_8( _blockA, 0 ); \
|
const Dtype8 acol1 = TRANSPOSE_BLOCK_8( _blockA, 1 ); \
|
const Dtype8 acol2 = TRANSPOSE_BLOCK_8( _blockA, 2 ); \
|
const Dtype8 acol3 = TRANSPOSE_BLOCK_8( _blockA, 3 ); \
|
const Dtype8 acol4 = TRANSPOSE_BLOCK_8( _blockA, 4 ); \
|
const Dtype8 acol5 = TRANSPOSE_BLOCK_8( _blockA, 5 ); \
|
const Dtype8 acol6 = TRANSPOSE_BLOCK_8( _blockA, 6 ); \
|
const Dtype8 acol7 = TRANSPOSE_BLOCK_8( _blockA, 7 ); \
|
const Dtype8 acol8 = TRANSPOSE_BLOCK_8( _blockA, 8 ); \
|
const Dtype8 acol9 = TRANSPOSE_BLOCK_8( _blockA, 9 ); \
|
const Dtype8 acola = TRANSPOSE_BLOCK_8( _blockA, 10 ); \
|
const Dtype8 acolb = TRANSPOSE_BLOCK_8( _blockA, 11 ); \
|
const Dtype8 acolc = TRANSPOSE_BLOCK_8( _blockA, 12 ); \
|
const Dtype8 acold = TRANSPOSE_BLOCK_8( _blockA, 13 ); \
|
const Dtype8 acole = TRANSPOSE_BLOCK_8( _blockA, 14 ); \
|
const Dtype8 acolf = TRANSPOSE_BLOCK_8( _blockA, 15 ); \
|
_result = mad( (Dtype8)(_blockB00.s0), acol0, _result ); \
|
_result = mad( (Dtype8)(_blockB00.s1), acol1, _result ); \
|
_result = mad( (Dtype8)(_blockB00.s2), acol2, _result ); \
|
_result = mad( (Dtype8)(_blockB00.s3), acol3, _result ); \
|
_result = mad( (Dtype8)(_blockB00.s4), acol4, _result ); \
|
_result = mad( (Dtype8)(_blockB00.s5), acol5, _result ); \
|
_result = mad( (Dtype8)(_blockB00.s6), acol6, _result ); \
|
_result = mad( (Dtype8)(_blockB00.s7), acol7, _result ); \
|
_result = mad( (Dtype8)(_blockB01.s0), acol8, _result ); \
|
_result = mad( (Dtype8)(_blockB01.s1), acol9, _result ); \
|
_result = mad( (Dtype8)(_blockB01.s2), acola, _result ); \
|
_result = mad( (Dtype8)(_blockB01.s3), acolb, _result ); \
|
_result = mad( (Dtype8)(_blockB01.s4), acolc, _result ); \
|
_result = mad( (Dtype8)(_blockB01.s5), acold, _result ); \
|
_result = mad( (Dtype8)(_blockB01.s6), acole, _result ); \
|
_result = mad( (Dtype8)(_blockB01.s7), acolf, _result ); \
|
}
|
#else
|
#define MULTIPLY_BLOCKS_8x8( _result, _blockA, _blockB ) \
|
{ \
|
const Dtype8 acol0 = TRANSPOSE_BLOCK_8( _blockA, 0 ); \
|
const Dtype8 acol1 = TRANSPOSE_BLOCK_8( _blockA, 1 ); \
|
const Dtype8 acol2 = TRANSPOSE_BLOCK_8( _blockA, 2 ); \
|
const Dtype8 acol3 = TRANSPOSE_BLOCK_8( _blockA, 3 ); \
|
const Dtype8 acol4 = TRANSPOSE_BLOCK_8( _blockA, 4 ); \
|
const Dtype8 acol5 = TRANSPOSE_BLOCK_8( _blockA, 5 ); \
|
const Dtype8 acol6 = TRANSPOSE_BLOCK_8( _blockA, 6 ); \
|
const Dtype8 acol7 = TRANSPOSE_BLOCK_8( _blockA, 7 ); \
|
_result = mad( (Dtype8)(_blockB.s0), acol0, _result ); \
|
_result = mad( (Dtype8)(_blockB.s1), acol1, _result ); \
|
_result = mad( (Dtype8)(_blockB.s2), acol2, _result ); \
|
_result = mad( (Dtype8)(_blockB.s3), acol3, _result ); \
|
_result = mad( (Dtype8)(_blockB.s4), acol4, _result ); \
|
_result = mad( (Dtype8)(_blockB.s5), acol5, _result ); \
|
_result = mad( (Dtype8)(_blockB.s6), acol6, _result ); \
|
_result = mad( (Dtype8)(_blockB.s7), acol7, _result ); \
|
}
|
#endif
|
#if TYPE == TYPE_HALF
|
#define GEMM_NN(ALPHA1, BETA_NOT0) \
|
__attribute__((intel_reqd_sub_group_size(SIMD_SIZE_GEMM))) \
|
__attribute__((reqd_work_group_size(SIMD_SIZE_GEMM, 1, 1))) \
|
__kernel void TEMPLATE(gemm_32_1_NN_ ##ALPHA1 ##_ ##BETA_NOT0, Dtype)( \
|
__read_only image2d_t A, \
|
__read_only image2d_t B, \
|
MATC_PARAMETER, \
|
KERNEL_ARG_DTYPE alpha_in, \
|
KERNEL_ARG_DTYPE beta_in, \
|
int width0, \
|
int isFirstColBlock) \
|
{ \
|
const Dtype alpha = (Dtype)alpha_in; \
|
const Dtype beta = (Dtype)beta_in; \
|
const int group_x = get_group_id(0); \
|
const int group_y = get_group_id(1); \
|
Dtype8 blockAxB00 = 0; \
|
Dtype8 blockAxB01 = 0; \
|
Dtype8 blockAxB02 = 0; \
|
Dtype8 blockAxB03 = 0; \
|
int2 coordA = (int2)( 0, group_y * TILE_M ); \
|
int2 coordB = (int2)( ( group_x * TILE_N ) * SIZE_OF_ELEMENT, 0 ); \
|
do \
|
{ \
|
int2 coordBTemp = coordB; \
|
Dtype8 blockB00 = as_Dtype8( SUBGROUP_BLOCK_READ8( B, coordBTemp ) ); coordB.y += TILE_K; \
|
Dtype8 blockB01 = as_Dtype8( SUBGROUP_BLOCK_READ8( B, coordBTemp ) ); coordB.y += TILE_K; \
|
int2 coordATemp = coordA; \
|
Dtype8 blockA00 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.y += 8; \
|
Dtype8 blockA01 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.y += 8; \
|
Dtype8 blockA02 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.y += 8; \
|
Dtype8 blockA03 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordA.x += TILE_K * SIZE_OF_ELEMENT * 2; \
|
MULTIPLY_BLOCKS_8x8( blockAxB00, blockA00, blockB00, blockB01 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB01, blockA01, blockB00, blockB01 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB02, blockA02, blockB00, blockB01 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB03, blockA03, blockB00, blockB01 ); \
|
} \
|
while( coordB.y < width0 ); \
|
GEMM_OUTPUT(ALPHA1, BETA_NOT0); \
|
}
|
#else
|
#define GEMM_NN(ALPHA1, BETA_NOT0) \
|
__attribute__((intel_reqd_sub_group_size(SIMD_SIZE_GEMM))) \
|
__attribute__((reqd_work_group_size(SIMD_SIZE_GEMM, 1, 1))) \
|
__kernel void TEMPLATE(gemm_32_1_NN_ ##ALPHA1 ##_ ##BETA_NOT0, Dtype)( \
|
__read_only image2d_t A, \
|
__read_only image2d_t B, \
|
MATC_PARAMETER, \
|
KERNEL_ARG_DTYPE alpha_in, \
|
KERNEL_ARG_DTYPE beta_in, \
|
int width0, \
|
int isFirstColBlock) \
|
{ \
|
const Dtype alpha = (Dtype)alpha_in; \
|
const Dtype beta = (Dtype)beta_in; \
|
const int group_x = get_group_id(0); \
|
const int group_y = get_group_id(1); \
|
Dtype8 blockAxB00 = 0.0f; \
|
Dtype8 blockAxB01 = 0.0f; \
|
Dtype8 blockAxB02 = 0.0f; \
|
Dtype8 blockAxB03 = 0.0f; \
|
int2 coordA = (int2)( 0, group_y * TILE_M ); \
|
int2 coordB = (int2)( ( group_x * TILE_N ) * SIZE_OF_ELEMENT, 0 ); \
|
do \
|
{ \
|
int2 coordBTemp = coordB; \
|
Dtype8 blockB00 = as_Dtype8( SUBGROUP_BLOCK_READ8( B, coordBTemp ) ); coordB.y += TILE_K; \
|
int2 coordATemp = coordA; \
|
Dtype8 blockA00 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.y += 8; \
|
Dtype8 blockA01 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.y += 8; \
|
Dtype8 blockA02 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.y += 8; \
|
Dtype8 blockA03 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordA.x += TILE_K * SIZE_OF_ELEMENT; \
|
MULTIPLY_BLOCKS_8x8( blockAxB00, blockA00, blockB00 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB01, blockA01, blockB00 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB02, blockA02, blockB00 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB03, blockA03, blockB00 ); \
|
} \
|
while( coordB.y < width0 ); \
|
GEMM_OUTPUT(ALPHA1, BETA_NOT0); \
|
}
|
#endif
|
GEMM_NN(1, 0)
|
GEMM_NN(1, 1)
|
GEMM_NN(0, 0)
|
GEMM_NN(0, 1)
|
#undef TRANSPOSE_BLOCK_8
|
#undef MULTIPLY_BLOCKS_8x8
|
#undef GEMM_NN
|
#define TRANSPOSE_BLOCK_8(_vec, _col) \
|
(Dtype8)( intel_sub_group_shuffle(_vec, _col + 0), \
|
intel_sub_group_shuffle(_vec, _col + 1), \
|
intel_sub_group_shuffle(_vec, _col + 2), \
|
intel_sub_group_shuffle(_vec, _col + 3), \
|
intel_sub_group_shuffle(_vec, _col + 4), \
|
intel_sub_group_shuffle(_vec, _col + 5), \
|
intel_sub_group_shuffle(_vec, _col + 6), \
|
intel_sub_group_shuffle(_vec, _col + 7) )
|
#define MULTIPLY_BLOCKS_8x8( _result, _blockA, _blockB, _col ) \
|
{ \
|
_result = mad( (Dtype8)(_blockB.s0), TRANSPOSE_BLOCK_8(_blockA.s0, _col), _result ); \
|
_result = mad( (Dtype8)(_blockB.s1), TRANSPOSE_BLOCK_8(_blockA.s1, _col), _result ); \
|
_result = mad( (Dtype8)(_blockB.s2), TRANSPOSE_BLOCK_8(_blockA.s2, _col), _result ); \
|
_result = mad( (Dtype8)(_blockB.s3), TRANSPOSE_BLOCK_8(_blockA.s3, _col), _result ); \
|
_result = mad( (Dtype8)(_blockB.s4), TRANSPOSE_BLOCK_8(_blockA.s4, _col), _result ); \
|
_result = mad( (Dtype8)(_blockB.s5), TRANSPOSE_BLOCK_8(_blockA.s5, _col), _result ); \
|
_result = mad( (Dtype8)(_blockB.s6), TRANSPOSE_BLOCK_8(_blockA.s6, _col), _result ); \
|
_result = mad( (Dtype8)(_blockB.s7), TRANSPOSE_BLOCK_8(_blockA.s7, _col), _result ); \
|
}
|
#if TYPE == TYPE_HALF
|
#define GEMM_TN(ALPHA1, BETA_NOT0) \
|
__attribute__((intel_reqd_sub_group_size(SIMD_SIZE_GEMM))) \
|
__attribute__((reqd_work_group_size(SIMD_SIZE_GEMM, 1, 1))) \
|
__kernel void TEMPLATE(gemm_32_1_TN_ ##ALPHA1 ##_ ##BETA_NOT0,Dtype)( \
|
__read_only image2d_t A, \
|
__read_only image2d_t B, \
|
MATC_PARAMETER, \
|
KERNEL_ARG_DTYPE alpha_in, \
|
KERNEL_ARG_DTYPE beta_in, \
|
int width0, \
|
int isFirstColBlock) \
|
{ \
|
const Dtype alpha = (Dtype)alpha_in; \
|
const Dtype beta = (Dtype)beta_in; \
|
const int group_x = get_group_id(0);\
|
const int group_y = get_group_id(1);\
|
Dtype8 blockAxB00 = 0;\
|
Dtype8 blockAxB01 = 0;\
|
Dtype8 blockAxB02 = 0;\
|
Dtype8 blockAxB03 = 0;\
|
int2 coordA = (int2)( group_y * TILE_M * SIZE_OF_ELEMENT, 0 );\
|
int2 coordB = (int2)( ( group_x * TILE_N ) * SIZE_OF_ELEMENT, 0 );\
|
do\
|
{\
|
int2 coordBTemp = coordB;\
|
Dtype8 blockB00 = as_Dtype8( SUBGROUP_BLOCK_READ8( B, coordBTemp ) ); coordB.y += TILE_K;\
|
int2 coordATemp = coordA;\
|
Dtype8 blockA00 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.x += 16 * SIZE_OF_ELEMENT;\
|
Dtype8 blockA01 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordA.y += TILE_K;\
|
MULTIPLY_BLOCKS_8x8( blockAxB00, blockA00, blockB00, 0); \
|
MULTIPLY_BLOCKS_8x8( blockAxB01, blockA00, blockB00, 8); \
|
MULTIPLY_BLOCKS_8x8( blockAxB02, blockA01, blockB00, 0); \
|
MULTIPLY_BLOCKS_8x8( blockAxB03, blockA01, blockB00, 8); \
|
} \
|
while( coordB.y < width0 ); \
|
GEMM_OUTPUT(ALPHA1, BETA_NOT0); \
|
}
|
#else
|
#define GEMM_TN(ALPHA1, BETA_NOT0) \
|
__attribute__((intel_reqd_sub_group_size(SIMD_SIZE_GEMM))) \
|
__attribute__((reqd_work_group_size(SIMD_SIZE_GEMM, 1, 1))) \
|
__kernel void TEMPLATE(gemm_32_1_TN_ ##ALPHA1 ##_ ##BETA_NOT0,Dtype)( \
|
__read_only image2d_t A, \
|
__read_only image2d_t B, \
|
MATC_PARAMETER, \
|
KERNEL_ARG_DTYPE alpha_in, \
|
KERNEL_ARG_DTYPE beta_in, \
|
int width0, \
|
int isFirstColBlock) \
|
{ \
|
const Dtype alpha = (Dtype)alpha_in; \
|
const Dtype beta = (Dtype)beta_in; \
|
const int group_x = get_group_id(0);\
|
const int group_y = get_group_id(1);\
|
Dtype8 blockAxB00 = 0.0f;\
|
Dtype8 blockAxB01 = 0.0f;\
|
Dtype8 blockAxB02 = 0.0f;\
|
Dtype8 blockAxB03 = 0.0f;\
|
int2 coordA = (int2)( group_y * TILE_M * SIZE_OF_ELEMENT, 0 );\
|
int2 coordB = (int2)( ( group_x * TILE_N ) * SIZE_OF_ELEMENT, 0 );\
|
do\
|
{\
|
int2 coordBTemp = coordB;\
|
Dtype8 blockB00 = as_Dtype8( SUBGROUP_BLOCK_READ8( B, coordBTemp ) ); coordB.y += TILE_K;\
|
int2 coordATemp = coordA;\
|
Dtype8 blockA00 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.x += 8 * SIZE_OF_ELEMENT;\
|
Dtype8 blockA01 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.x += 8 * SIZE_OF_ELEMENT;\
|
Dtype8 blockA02 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.x += 8 * SIZE_OF_ELEMENT;\
|
Dtype8 blockA03 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordA.y += TILE_K;\
|
MULTIPLY_BLOCKS_8x8( blockAxB00, blockA00, blockB00, 0 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB01, blockA01, blockB00, 0 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB02, blockA02, blockB00, 0 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB03, blockA03, blockB00, 0 ); \
|
} \
|
while( coordB.y < width0 ); \
|
GEMM_OUTPUT(ALPHA1, BETA_NOT0); \
|
}
|
#endif
|
GEMM_TN(1, 0)
|
GEMM_TN(1, 1)
|
GEMM_TN(0, 0)
|
GEMM_TN(0, 1)
|
#undef MULTIPLY_BLOCKS_8x8
|
#undef TRANSPOSE_BLOCK_8
|
#undef GEMM_TN
|
#define TRANSPOSE_BLOCK_8( _block, _col ) \
|
(Dtype8)( intel_sub_group_shuffle( _block.s0, _col), \
|
intel_sub_group_shuffle( _block.s1, _col), \
|
intel_sub_group_shuffle( _block.s2, _col), \
|
intel_sub_group_shuffle( _block.s3, _col), \
|
intel_sub_group_shuffle( _block.s4, _col), \
|
intel_sub_group_shuffle( _block.s5, _col), \
|
intel_sub_group_shuffle( _block.s6, _col), \
|
intel_sub_group_shuffle( _block.s7, _col) )
|
#if TYPE == TYPE_HALF
|
#define MULTIPLY_BLOCKS_8x8( _result, _blockA, _blockB ) \
|
{ \
|
const Dtype8 acol0 = TRANSPOSE_BLOCK_8( _blockA, 0 ); \
|
const Dtype8 acol1 = TRANSPOSE_BLOCK_8( _blockA, 1 ); \
|
const Dtype8 acol2 = TRANSPOSE_BLOCK_8( _blockA, 2 ); \
|
const Dtype8 acol3 = TRANSPOSE_BLOCK_8( _blockA, 3 ); \
|
const Dtype8 acol4 = TRANSPOSE_BLOCK_8( _blockA, 4 ); \
|
const Dtype8 acol5 = TRANSPOSE_BLOCK_8( _blockA, 5 ); \
|
const Dtype8 acol6 = TRANSPOSE_BLOCK_8( _blockA, 6 ); \
|
const Dtype8 acol7 = TRANSPOSE_BLOCK_8( _blockA, 7 ); \
|
const Dtype8 acol8 = TRANSPOSE_BLOCK_8( _blockA, 8 ); \
|
const Dtype8 acol9 = TRANSPOSE_BLOCK_8( _blockA, 9 ); \
|
const Dtype8 acola = TRANSPOSE_BLOCK_8( _blockA, 10 ); \
|
const Dtype8 acolb = TRANSPOSE_BLOCK_8( _blockA, 11 ); \
|
const Dtype8 acolc = TRANSPOSE_BLOCK_8( _blockA, 12 ); \
|
const Dtype8 acold = TRANSPOSE_BLOCK_8( _blockA, 13 ); \
|
const Dtype8 acole = TRANSPOSE_BLOCK_8( _blockA, 14 ); \
|
const Dtype8 acolf = TRANSPOSE_BLOCK_8( _blockA, 15 ); \
|
_result = mad( (Dtype8)_blockB.s0, acol0, _result ); \
|
_result = mad( (Dtype8)_blockB.s1, acol1, _result ); \
|
_result = mad( (Dtype8)_blockB.s2, acol2, _result ); \
|
_result = mad( (Dtype8)_blockB.s3, acol3, _result ); \
|
_result = mad( (Dtype8)_blockB.s4, acol4, _result ); \
|
_result = mad( (Dtype8)_blockB.s5, acol5, _result ); \
|
_result = mad( (Dtype8)_blockB.s6, acol6, _result ); \
|
_result = mad( (Dtype8)_blockB.s7, acol7, _result ); \
|
_result = mad( (Dtype8)_blockB.s8, acol8, _result ); \
|
_result = mad( (Dtype8)_blockB.s9, acol9, _result ); \
|
_result = mad( (Dtype8)_blockB.sa, acola, _result ); \
|
_result = mad( (Dtype8)_blockB.sb, acolb, _result ); \
|
_result = mad( (Dtype8)_blockB.sc, acolc, _result ); \
|
_result = mad( (Dtype8)_blockB.sd, acold, _result ); \
|
_result = mad( (Dtype8)_blockB.se, acole, _result ); \
|
_result = mad( (Dtype8)_blockB.sf, acolf, _result ); \
|
}
|
#else
|
#define MULTIPLY_BLOCKS_8x8( _result, _blockA, _blockB ) \
|
{ \
|
const Dtype8 acol0 = TRANSPOSE_BLOCK_8( _blockA, 0 ); \
|
const Dtype8 acol1 = TRANSPOSE_BLOCK_8( _blockA, 1 ); \
|
const Dtype8 acol2 = TRANSPOSE_BLOCK_8( _blockA, 2 ); \
|
const Dtype8 acol3 = TRANSPOSE_BLOCK_8( _blockA, 3 ); \
|
const Dtype8 acol4 = TRANSPOSE_BLOCK_8( _blockA, 4 ); \
|
const Dtype8 acol5 = TRANSPOSE_BLOCK_8( _blockA, 5 ); \
|
const Dtype8 acol6 = TRANSPOSE_BLOCK_8( _blockA, 6 ); \
|
const Dtype8 acol7 = TRANSPOSE_BLOCK_8( _blockA, 7 ); \
|
_result = mad( (Dtype8)_blockB.s0, acol0, _result ); \
|
_result = mad( (Dtype8)_blockB.s1, acol1, _result ); \
|
_result = mad( (Dtype8)_blockB.s2, acol2, _result ); \
|
_result = mad( (Dtype8)_blockB.s3, acol3, _result ); \
|
_result = mad( (Dtype8)_blockB.s4, acol4, _result ); \
|
_result = mad( (Dtype8)_blockB.s5, acol5, _result ); \
|
_result = mad( (Dtype8)_blockB.s6, acol6, _result ); \
|
_result = mad( (Dtype8)_blockB.s7, acol7, _result ); \
|
}
|
#endif
|
#if TYPE == TYPE_HALF
|
#define GEMM_NT(ALPHA1, BETA_NOT0, VECSCALAR, VECSIZE) \
|
__attribute__((intel_reqd_sub_group_size(SIMD_SIZE_GEMM))) \
|
__attribute__((reqd_work_group_size(SIMD_SIZE_GEMM, 1, 1))) \
|
__kernel void TEMPLATE(gemm_32_1_NT_ ##VECSCALAR ##_ ##ALPHA1 ##_ ##BETA_NOT0,Dtype)( \
|
__read_only image2d_t A, \
|
MATB_PARAMETER, \
|
MATC_PARAMETER, \
|
KERNEL_ARG_DTYPE alpha_in, \
|
KERNEL_ARG_DTYPE beta_in, \
|
int padded_k, \
|
int k, \
|
int isFirstColBlock) \
|
{ \
|
const Dtype alpha = (Dtype)alpha_in; \
|
const Dtype beta = (Dtype)beta_in; \
|
const int group_x = get_group_id(0); \
|
const int group_y = get_group_id(1); \
|
Dtype8 blockAxB00 = 0; \
|
Dtype8 blockAxB01 = 0; \
|
Dtype8 blockAxB02 = 0; \
|
Dtype8 blockAxB03 = 0; \
|
int2 coordA = (int2)( 0, group_y * TILE_M ); \
|
int2 coordB = (int2)( 0, ( group_x * TILE_N )); \
|
const sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; \
|
do \
|
{ \
|
Dtype16 blockB00; \
|
BLOCKB_READ8(blockB00, B, coordB); \
|
int2 coordATemp = coordA; \
|
Dtype8 blockA00 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.y += 8; \
|
Dtype8 blockA01 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.y += 8; \
|
Dtype8 blockA02 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.y += 8; \
|
Dtype8 blockA03 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordA.x += TILE_K * SIZE_OF_ELEMENT * 2; \
|
MULTIPLY_BLOCKS_8x8( blockAxB00, blockA00, blockB00 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB01, blockA01, blockB00 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB02, blockA02, blockB00 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB03, blockA03, blockB00 ); \
|
} \
|
while( coordB.x < padded_k / VECSIZE ); \
|
GEMM_OUTPUT(ALPHA1, BETA_NOT0); \
|
}
|
#else
|
#define GEMM_NT(ALPHA1, BETA_NOT0, VECSCALAR, VECSIZE) \
|
__attribute__((intel_reqd_sub_group_size(SIMD_SIZE_GEMM))) \
|
__attribute__((reqd_work_group_size(SIMD_SIZE_GEMM, 1, 1))) \
|
__kernel void TEMPLATE(gemm_32_1_NT_ ##VECSCALAR ##_ ##ALPHA1 ##_ ##BETA_NOT0,Dtype)( \
|
__read_only image2d_t A, \
|
MATB_PARAMETER, \
|
MATC_PARAMETER, \
|
KERNEL_ARG_DTYPE alpha_in, \
|
KERNEL_ARG_DTYPE beta_in, \
|
int padded_k, \
|
int k, \
|
int isFirstColBlock) \
|
{ \
|
const Dtype alpha = (Dtype)alpha_in; \
|
const Dtype beta = (Dtype)beta_in; \
|
const int group_x = get_group_id(0); \
|
const int group_y = get_group_id(1); \
|
Dtype8 blockAxB00 = 0.0f; \
|
Dtype8 blockAxB01 = 0.0f; \
|
Dtype8 blockAxB02 = 0.0f; \
|
Dtype8 blockAxB03 = 0.0f; \
|
int2 coordA = (int2)( 0, group_y * TILE_M ); \
|
int2 coordB = (int2)( 0, ( group_x * TILE_N )); \
|
const sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; \
|
do \
|
{ \
|
Dtype8 blockB00; \
|
BLOCKB_READ8(blockB00, B, coordB); \
|
int2 coordATemp = coordA; \
|
Dtype8 blockA00 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.y += 8; \
|
Dtype8 blockA01 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.y += 8; \
|
Dtype8 blockA02 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.y += 8; \
|
Dtype8 blockA03 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordA.x += TILE_K * SIZE_OF_ELEMENT; \
|
MULTIPLY_BLOCKS_8x8( blockAxB00, blockA00, blockB00 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB01, blockA01, blockB00 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB02, blockA02, blockB00 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB03, blockA03, blockB00 ); \
|
} \
|
while( coordB.x < padded_k / VECSIZE ); \
|
GEMM_OUTPUT(ALPHA1, BETA_NOT0); \
|
}
|
#endif
|
#if TYPE == TYPE_HALF
|
#define BLOCKB_READ8(_blockb, _B, _coordB) \
|
int2 _coordBTemp = _coordB; \
|
_coordBTemp.y += get_local_id(0); \
|
_blockb.s0123 = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s4567 = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s89ab = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.scdef = READ_IMAGE(_B, _coordBTemp); _coordB.x += 4;
|
#else
|
#define BLOCKB_READ8(_blockb, _B, _coordB) \
|
int2 _coordBTemp = _coordB; \
|
_coordBTemp.y += get_local_id(0); \
|
_blockb.s0123 = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s4567 = READ_IMAGE(_B, _coordBTemp); _coordB.x += 2;
|
#endif
|
#define MATB_PARAMETER __read_only image2d_t B
|
GEMM_NT(1, 0, VEC4, 4)
|
GEMM_NT(1, 1, VEC4, 4)
|
GEMM_NT(0, 0, VEC4, 4)
|
GEMM_NT(0, 1, VEC4, 4)
|
#undef BLOCKB_READ8
|
#undef MATB_PARAMETER
|
#if TYPE == TYPE_HALF
|
#define BLOCKB_READ8(_blockb, _B, _coordB) \
|
int2 _coordBTemp = _coordB; \
|
_coordBTemp.y += get_local_id(0); \
|
const __global float *B_read = (__global float *)(_B + (_coordBTemp.y * ldb) + _coordBTemp.x + offB); \
|
_blockb = as_Dtype16(as_ushort16(vload8(0, B_read))); \
|
_coordB.x += TILE_K * 2;
|
#else
|
#define BLOCKB_READ8(_blockb, _B, _coordB) \
|
int2 _coordBTemp = _coordB; \
|
_coordBTemp.y += get_local_id(0); \
|
const __global Dtype *B_read = (__global Dtype *)(_B + (_coordBTemp.y * ldb) + _coordBTemp.x + offB); \
|
_blockb = vload8(0, B_read); \
|
_coordB.x += TILE_K;
|
#endif
|
#define MATB_PARAMETER __global Dtype *B, int offB, int ldb
|
GEMM_NT(1, 0, BUFFER, 1)
|
GEMM_NT(1, 1, BUFFER, 1)
|
GEMM_NT(0, 0, BUFFER, 1)
|
GEMM_NT(0, 1, BUFFER, 1)
|
#undef BLOCKB_READ8
|
#undef MATB_PARAMETER
|
#if TYPE == TYPE_HALF
|
#define BLOCKB_READ8(_blockb, _B, _coordB) \
|
int2 _coordBTemp = _coordB; \
|
_coordBTemp.y += get_local_id(0); \
|
Dtype4 temp; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s0 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s1 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s2 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s3 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s4 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s5 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s6 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s7 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s8 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s9 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.sa = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.sb = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.sc = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.sd = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.se = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.sf = temp.s0; \
|
_coordB.x += 16;
|
#else
|
#define BLOCKB_READ8(_blockb, _B, _coordB) \
|
int2 _coordBTemp = _coordB; \
|
_coordBTemp.y += get_local_id(0); \
|
Dtype4 temp; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s0 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s1 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s2 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s3 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s4 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s5 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s6 = temp.s0; \
|
temp = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s7 = temp.s0; \
|
_coordB.x += 8;
|
#endif
|
#define MATB_PARAMETER __read_only image2d_t B
|
GEMM_NT(1, 0, SCALAR, 1)
|
GEMM_NT(1, 1, SCALAR, 1)
|
GEMM_NT(0, 0, SCALAR, 1)
|
GEMM_NT(0, 1, SCALAR, 1)
|
#undef BLOCKB_READ8
|
#undef MATB_PARAMETER
|
#undef MULTIPLY_BLOCKS_8x8
|
#undef TRANSPOSE_BLOCK_8
|
#undef GEMM_NT
|
#define TRANSPOSE_BLOCK_8(_vec, _col) \
|
(Dtype8)( intel_sub_group_shuffle(_vec, _col + 0), \
|
intel_sub_group_shuffle(_vec, _col + 1), \
|
intel_sub_group_shuffle(_vec, _col + 2), \
|
intel_sub_group_shuffle(_vec, _col + 3), \
|
intel_sub_group_shuffle(_vec, _col + 4), \
|
intel_sub_group_shuffle(_vec, _col + 5), \
|
intel_sub_group_shuffle(_vec, _col + 6), \
|
intel_sub_group_shuffle(_vec, _col + 7) );
|
#define MULTIPLY_BLOCKS_8x8( _result, _blockA, _blockB, _col ) \
|
{ \
|
const Dtype8 acol0 = TRANSPOSE_BLOCK_8( _blockA.s0, _col ); \
|
const Dtype8 acol1 = TRANSPOSE_BLOCK_8( _blockA.s1, _col ); \
|
const Dtype8 acol2 = TRANSPOSE_BLOCK_8( _blockA.s2, _col ); \
|
const Dtype8 acol3 = TRANSPOSE_BLOCK_8( _blockA.s3, _col ); \
|
const Dtype8 acol4 = TRANSPOSE_BLOCK_8( _blockA.s4, _col ); \
|
const Dtype8 acol5 = TRANSPOSE_BLOCK_8( _blockA.s5, _col ); \
|
const Dtype8 acol6 = TRANSPOSE_BLOCK_8( _blockA.s6, _col ); \
|
const Dtype8 acol7 = TRANSPOSE_BLOCK_8( _blockA.s7, _col ); \
|
_result = mad( (Dtype8)_blockB.s0, acol0, _result ); \
|
_result = mad( (Dtype8)_blockB.s1, acol1, _result ); \
|
_result = mad( (Dtype8)_blockB.s2, acol2, _result ); \
|
_result = mad( (Dtype8)_blockB.s3, acol3, _result ); \
|
_result = mad( (Dtype8)_blockB.s4, acol4, _result ); \
|
_result = mad( (Dtype8)_blockB.s5, acol5, _result ); \
|
_result = mad( (Dtype8)_blockB.s6, acol6, _result ); \
|
_result = mad( (Dtype8)_blockB.s7, acol7, _result ); \
|
}
|
#if TYPE == TYPE_HALF
|
#define GEMM_TT(ALPHA1, BETA_NOT0, VECSCALAR, VECSIZE) \
|
__attribute__((intel_reqd_sub_group_size(SIMD_SIZE_GEMM))) \
|
__attribute__((reqd_work_group_size(SIMD_SIZE_GEMM, 1, 1))) \
|
__kernel void TEMPLATE(gemm_32_1_TT_ ##VECSCALAR ##_ ##ALPHA1 ##_ ##BETA_NOT0, Dtype)( \
|
__read_only image2d_t A, \
|
MATB_PARAMETER, \
|
MATC_PARAMETER, \
|
KERNEL_ARG_DTYPE alpha_in, \
|
KERNEL_ARG_DTYPE beta_in, \
|
int padded_k, \
|
int k, \
|
int isFirstColBlock) \
|
{ \
|
const Dtype alpha = (Dtype)alpha_in; \
|
const Dtype beta = (Dtype)beta_in; \
|
const int group_x = get_group_id(0); \
|
const int group_y = get_group_id(1); \
|
Dtype8 blockAxB00 = 0; \
|
Dtype8 blockAxB01 = 0; \
|
Dtype8 blockAxB02 = 0; \
|
Dtype8 blockAxB03 = 0; \
|
int2 coordA = (int2)( group_y * TILE_M * SIZE_OF_ELEMENT, 0 ); \
|
int2 coordB = (int2)( 0, ( group_x * TILE_N )); \
|
const sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; \
|
do \
|
{ \
|
Dtype8 blockB00; \
|
BLOCKB_READ8(blockB00, B, coordB); \
|
int2 coordATemp = coordA; \
|
Dtype8 blockA00 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.x += 16 * SIZE_OF_ELEMENT;\
|
Dtype8 blockA01 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordA.y += TILE_K;\
|
MULTIPLY_BLOCKS_8x8( blockAxB00, blockA00, blockB00, 0); \
|
MULTIPLY_BLOCKS_8x8( blockAxB01, blockA00, blockB00, 8); \
|
MULTIPLY_BLOCKS_8x8( blockAxB02, blockA01, blockB00, 0); \
|
MULTIPLY_BLOCKS_8x8( blockAxB03, blockA01, blockB00, 8); \
|
} \
|
while( coordB.x < padded_k / VECSIZE ); \
|
GEMM_OUTPUT(ALPHA1, BETA_NOT0);\
|
}
|
#else
|
#define GEMM_TT(ALPHA1, BETA_NOT0, VECSCALAR, VECSIZE) \
|
__attribute__((intel_reqd_sub_group_size(SIMD_SIZE_GEMM))) \
|
__attribute__((reqd_work_group_size(SIMD_SIZE_GEMM, 1, 1))) \
|
__kernel void TEMPLATE(gemm_32_1_TT_ ##VECSCALAR ##_ ##ALPHA1 ##_ ##BETA_NOT0, Dtype)( \
|
__read_only image2d_t A, \
|
MATB_PARAMETER, \
|
MATC_PARAMETER, \
|
KERNEL_ARG_DTYPE alpha_in, \
|
KERNEL_ARG_DTYPE beta_in, \
|
int padded_k, \
|
int k, \
|
int isFirstColBlock) \
|
{ \
|
const Dtype alpha = (Dtype)alpha_in; \
|
const Dtype beta = (Dtype)beta_in; \
|
const int group_x = get_group_id(0); \
|
const int group_y = get_group_id(1); \
|
Dtype8 blockAxB00 = 0.0f; \
|
Dtype8 blockAxB01 = 0.0f; \
|
Dtype8 blockAxB02 = 0.0f; \
|
Dtype8 blockAxB03 = 0.0f; \
|
int2 coordA = (int2)( group_y * TILE_M * SIZE_OF_ELEMENT, 0 ); \
|
int2 coordB = (int2)( 0, ( group_x * TILE_N )); \
|
const sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP | CLK_FILTER_NEAREST; \
|
do \
|
{ \
|
Dtype8 blockB00; \
|
BLOCKB_READ8(blockB00, B, coordB); \
|
int2 coordATemp = coordA; \
|
Dtype8 blockA00 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.x += 8 * SIZE_OF_ELEMENT; \
|
Dtype8 blockA01 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.x += 8 * SIZE_OF_ELEMENT; \
|
Dtype8 blockA02 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordATemp.x += 8 * SIZE_OF_ELEMENT; \
|
Dtype8 blockA03 = as_Dtype8( SUBGROUP_BLOCK_READ8( A, coordATemp ) ); coordA.y += TILE_K; \
|
MULTIPLY_BLOCKS_8x8( blockAxB00, blockA00 , blockB00, 0 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB01, blockA01 , blockB00, 0 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB02, blockA02 , blockB00, 0 ); \
|
MULTIPLY_BLOCKS_8x8( blockAxB03, blockA03 , blockB00, 0 ); \
|
} \
|
while( coordB.x < padded_k / VECSIZE ); \
|
GEMM_OUTPUT(ALPHA1, BETA_NOT0);\
|
}
|
#endif
|
#define BLOCKB_READ8(_blockb, _B, _coordB) \
|
int2 _coordBTemp = _coordB; \
|
_coordBTemp.y += get_local_id(0); \
|
_blockb.s0123 = READ_IMAGE(_B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s4567 = READ_IMAGE(_B, _coordBTemp); _coordB.x += 2;
|
#define MATB_PARAMETER __read_only image2d_t B
|
GEMM_TT(1, 0, VEC4, 4)
|
GEMM_TT(1, 1, VEC4, 4)
|
GEMM_TT(0, 0, VEC4, 4)
|
GEMM_TT(0, 1, VEC4, 4)
|
#undef BLOCKB_READ8
|
#undef MATB_PARAMETER
|
#if TYPE == TYPE_HALF
|
#define BLOCKB_READ8(_blockb, _B, _coordB) \
|
int2 _coordBTemp = _coordB; \
|
_coordBTemp.y += get_local_id(0); \
|
const __global float *B_read = (__global float *)(_B + (_coordBTemp.y * k) + _coordBTemp.x + offB); \
|
_blockb = as_Dtype8(as_ushort8(vload4(0, B_read))); \
|
_coordB.x += TILE_K;
|
#else
|
#define BLOCKB_READ8(_blockb, _B, _coordB) \
|
int2 _coordBTemp = _coordB; \
|
_coordBTemp.y += get_local_id(0); \
|
const __global Dtype *B_read = (__global Dtype *)(_B + (_coordBTemp.y * k) + _coordBTemp.x + offB); \
|
_blockb = vload8(0, B_read); \
|
_coordB.x += TILE_K;
|
#endif
|
#define MATB_PARAMETER __global Dtype *B, int offB, int ldb
|
GEMM_TT(1, 0, BUFFER, 1)
|
GEMM_TT(1, 1, BUFFER, 1)
|
GEMM_TT(0, 0, BUFFER, 1)
|
GEMM_TT(0, 1, BUFFER, 1)
|
#undef BLOCKB_READ8
|
#undef MATB_PARAMETER
|
#define BLOCKB_READ8(_blockb, _B, _coordB) \
|
int2 _coordBTemp = _coordB; \
|
_coordBTemp.y += get_local_id(0); \
|
Dtype4 temp; \
|
temp = READ_IMAGE(B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s0 = temp.s0; \
|
temp = READ_IMAGE(B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s1 = temp.s0; \
|
temp = READ_IMAGE(B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s2 = temp.s0; \
|
temp = READ_IMAGE(B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s3 = temp.s0; \
|
temp = READ_IMAGE(B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s4 = temp.s0; \
|
temp = READ_IMAGE(B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s5 = temp.s0; \
|
temp = READ_IMAGE(B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s6 = temp.s0; \
|
temp = READ_IMAGE(B, _coordBTemp); _coordBTemp.x += 1; \
|
_blockb.s7 = temp.s0; \
|
_coordB.x += 8;
|
#define MATB_PARAMETER __read_only image2d_t B
|
GEMM_TT(1, 0, SCALAR, 1)
|
GEMM_TT(1, 1, SCALAR, 1)
|
GEMM_TT(0, 0, SCALAR, 1)
|
GEMM_TT(0, 1, SCALAR, 1)
|
#undef BLOCKB_READ8
|
#undef MATB_PARAMETER
|
#undef MULTIPLY_BLOCKS_8x8
|
#undef TRANSPOSE_BLOCK_8
|
#undef GEMM_TT
|
#undef TILE_M
|
#undef TILE_K
|
#undef TILE_N
|
#undef SUBGROUP_BLOCK_READ8
|
#undef READ_IMAGE
|
#undef SIZE_OF_ELEMENT
|
__kernel void TEMPLATE(gemm_buffer_copy_image_transpose, Dtype)(
|
__global Dtype* A,
|
__write_only image2d_t ImA,
|
int offA,
|
int width,
|
int height,
|
int ldA)
|
{
|
const int gidx = get_global_id(0);
|
const int gidy = get_global_id(1);
|
int2 coord_dst = (int2)(gidx, gidy);
|
__global Dtype* A_off = A + offA;
|
Dtype srcA = A_off[gidy * ldA + gidx];
|
#if TYPE == TYPE_HALF
|
write_imageh(ImA, coord_dst, (Dtype4)srcA);
|
#else
|
write_imagef(ImA, coord_dst, (Dtype4)srcA);
|
#endif
|
}
|
__kernel void TEMPLATE(gemm_buffer_copy_image_no_transpose, Dtype)(
|
__global Dtype* A,
|
__write_only image2d_t ImA,
|
int offA,
|
int width,
|
int height,
|
int ldA)
|
{
|
const int gidx = get_global_id(0);
|
const int gidy = get_global_id(1);
|
int2 coord_dst = (int2)(gidx, gidy);
|
#if TYPE == TYPE_HALF
|
if (gidx >= width || gidy >= height) {
|
write_imageh(ImA, coord_dst, 0);
|
return;
|
}
|
__global Dtype* A_off = A + offA;
|
write_imageh(ImA, coord_dst, A_off[gidy * ldA + gidx]);
|
#else
|
if (gidx >= width || gidy >= height) {
|
write_imageui(ImA, coord_dst, (uint4)0);
|
return;
|
}
|
__global Dtype* A_off = A + offA;
|
uint4 srcA = convert_uint4(as_uchar4(A_off[gidy * ldA + gidx]));
|
write_imageui(ImA, coord_dst, srcA);
|
#endif
|
}
|
44c93d52e38d044b2f217db46b639400 gemm_buffer #if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
#define CONCAT(A,B) A##_##B
|
#define TEMPLATE(name,type) CONCAT(name,type)
|
#define KERNEL_ARG_DTYPE float
|
#define TYPE_FLOAT 1
|
#define TYPE_HALF 2
|
#if TYPE == TYPE_HALF
|
#define Dtype half
|
#define Dtype2 half2
|
#define Dtype4 half4
|
#define Dtype8 half8
|
#define Dtype16 half16
|
#define as_Dtype as_half
|
#define as_Dtype2 as_half2
|
#define as_Dtype4 as_half4
|
#define as_Dtype8 as_half8
|
#define as_Dtype16 as_half16
|
#else
|
#define Dtype float
|
#define Dtype2 float2
|
#define Dtype4 float4
|
#define Dtype8 float8
|
#define Dtype16 float16
|
#define as_Dtype as_float
|
#define as_Dtype2 as_float2
|
#define as_Dtype4 as_float4
|
#define as_Dtype8 as_float8
|
#define as_Dtype16 as_float16
|
#endif
|
#if TYPE == TYPE_HALF
|
#define SHUFFLE_TYPE2(val) as_ushort2(val)
|
#define SHUFFLE_TYPE8(val) as_ushort8(val)
|
#define SIMD_SIZE_GEMM 16
|
#else
|
#define SHUFFLE_TYPE2(val) val
|
#define SHUFFLE_TYPE8(val) val
|
#define SIMD_SIZE_GEMM 8
|
#endif
|
#if defined(cl_intel_subgroups)
|
#pragma OPENCL EXTENSION cl_intel_subgroups : enable
|
#endif
|
#define VEC_SIZE 4
|
#define LWG_HEIGHT 4
|
#define TILE_M 8
|
#if TYPE == TYPE_HALF
|
#define TILE_K 32
|
#define TILE_N 64
|
#else
|
#define TILE_K 16
|
#define TILE_N 32
|
#endif
|
__attribute__((reqd_work_group_size(SIMD_SIZE_GEMM, LWG_HEIGHT, 1)))
|
__attribute__((intel_reqd_sub_group_size(SIMD_SIZE_GEMM)))
|
__kernel void TEMPLATE(gemm_buffer_NN, Dtype)(
|
const __global Dtype *src0, int off0,
|
const __global Dtype *src1, int off1,
|
__global Dtype *dst, int offd,
|
int M,
|
int N,
|
int K,
|
KERNEL_ARG_DTYPE alpha_in,
|
KERNEL_ARG_DTYPE beta_in,
|
int start_index)
|
{
|
const Dtype alpha = (Dtype)alpha_in;
|
const Dtype beta = (Dtype)beta_in;
|
const int group_x = get_group_id(0);
|
const int group_y = get_group_id(1);
|
const int local_x = get_local_id(0);
|
const int local_y = get_local_id(1);
|
const int global_x = get_global_id(0);
|
const int global_y = get_global_id(1);
|
Dtype4 brow;
|
Dtype2 arow0, arow1, arow2, arow3, arow4, arow5, arow6, arow7;
|
__global Dtype *dst_write0 = dst + local_x * VEC_SIZE + (group_x * TILE_N) + (group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M) * N + offd;
|
const __global Dtype *src0_read = src0 + local_x * (TILE_K / SIMD_SIZE_GEMM) + (group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M) * K + start_index + off0;
|
const __global Dtype *src1_read0 = src1 + local_x * VEC_SIZE + (group_x * TILE_N) + start_index * N + off1;
|
int border = -(group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M);
|
int row0 = mad24(global_y, TILE_M, 0) < M ? 0 : border;
|
int row1 = mad24(global_y, TILE_M, 1) < M ? 1 : border;
|
int row2 = mad24(global_y, TILE_M, 2) < M ? 2 : border;
|
int row3 = mad24(global_y, TILE_M, 3) < M ? 3 : border;
|
int row4 = mad24(global_y, TILE_M, 4) < M ? 4 : border;
|
int row5 = mad24(global_y, TILE_M, 5) < M ? 5 : border;
|
int row6 = mad24(global_y, TILE_M, 6) < M ? 6 : border;
|
int row7 = mad24(global_y, TILE_M, 7) < M ? 7 : border;
|
Dtype4 dot00 = (start_index != 0) ? vload4(0, dst_write0) : beta * vload4(0, dst_write0);
|
Dtype4 dot01 = (start_index != 0) ? vload4(0, dst_write0 + 1 * N) : beta * vload4(0, dst_write0 + 1 * N);
|
Dtype4 dot02 = (start_index != 0) ? vload4(0, dst_write0 + 2 * N) : beta * vload4(0, dst_write0 + 2 * N);
|
Dtype4 dot03 = (start_index != 0) ? vload4(0, dst_write0 + 3 * N) : beta * vload4(0, dst_write0 + 3 * N);
|
Dtype4 dot04 = (start_index != 0) ? vload4(0, dst_write0 + 4 * N) : beta * vload4(0, dst_write0 + 4 * N);
|
Dtype4 dot05 = (start_index != 0) ? vload4(0, dst_write0 + 5 * N) : beta * vload4(0, dst_write0 + 5 * N);
|
Dtype4 dot06 = (start_index != 0) ? vload4(0, dst_write0 + 6 * N) : beta * vload4(0, dst_write0 + 6 * N);
|
Dtype4 dot07 = (start_index != 0) ? vload4(0, dst_write0 + 7 * N) : beta * vload4(0, dst_write0 + 7 * N);
|
int end_index = min(start_index + 256, K);
|
int w = start_index;
|
while( w + TILE_K <= end_index ) {
|
arow0 = alpha * vload2(0, src0_read + row0 * K);
|
arow1 = alpha * vload2(0, src0_read + row1 * K);
|
arow2 = alpha * vload2(0, src0_read + row2 * K);
|
arow3 = alpha * vload2(0, src0_read + row3 * K);
|
arow4 = alpha * vload2(0, src0_read + row4 * K);
|
arow5 = alpha * vload2(0, src0_read + row5 * K);
|
arow6 = alpha * vload2(0, src0_read + row6 * K);
|
arow7 = alpha * vload2(0, src0_read + row7 * K);
|
#define MM_DOT_PRODUCT( index, suffix ) \
|
brow = vload4(0, src1_read0); src1_read0 += N; \
|
dot00 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow0), index )).s##suffix), brow, dot00 ); \
|
dot01 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow1), index )).s##suffix), brow, dot01 ); \
|
dot02 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow2), index )).s##suffix), brow, dot02 ); \
|
dot03 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow3), index )).s##suffix), brow, dot03 ); \
|
dot04 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow4), index )).s##suffix), brow, dot04 ); \
|
dot05 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow5), index )).s##suffix), brow, dot05 ); \
|
dot06 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow6), index )).s##suffix), brow, dot06 ); \
|
dot07 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow7), index )).s##suffix), brow, dot07 );
|
MM_DOT_PRODUCT(0, 0);
|
MM_DOT_PRODUCT(0, 1);
|
MM_DOT_PRODUCT(1, 0);
|
MM_DOT_PRODUCT(1, 1);
|
MM_DOT_PRODUCT(2, 0);
|
MM_DOT_PRODUCT(2, 1);
|
MM_DOT_PRODUCT(3, 0);
|
MM_DOT_PRODUCT(3, 1);
|
MM_DOT_PRODUCT(4, 0);
|
MM_DOT_PRODUCT(4, 1);
|
MM_DOT_PRODUCT(5, 0);
|
MM_DOT_PRODUCT(5, 1);
|
MM_DOT_PRODUCT(6, 0);
|
MM_DOT_PRODUCT(6, 1);
|
MM_DOT_PRODUCT(7, 0);
|
MM_DOT_PRODUCT(7, 1);
|
#if TYPE == TYPE_HALF
|
MM_DOT_PRODUCT(8, 0);
|
MM_DOT_PRODUCT(8, 1);
|
MM_DOT_PRODUCT(9, 0);
|
MM_DOT_PRODUCT(9, 1);
|
MM_DOT_PRODUCT(10, 0);
|
MM_DOT_PRODUCT(10, 1);
|
MM_DOT_PRODUCT(11, 0);
|
MM_DOT_PRODUCT(11, 1);
|
MM_DOT_PRODUCT(12, 0);
|
MM_DOT_PRODUCT(12, 1);
|
MM_DOT_PRODUCT(13, 0);
|
MM_DOT_PRODUCT(13, 1);
|
MM_DOT_PRODUCT(14, 0);
|
MM_DOT_PRODUCT(14, 1);
|
MM_DOT_PRODUCT(15, 0);
|
MM_DOT_PRODUCT(15, 1);
|
#endif
|
#undef MM_DOT_PRODUCT
|
src0_read += TILE_K;
|
w += TILE_K;
|
}
|
if(w < end_index) {
|
arow0.x = ((w + local_x * 2) < K) ? alpha * (src0_read + row0 * K)[0] : 0.0f;
|
arow0.y = ((w + local_x * 2 + 1) < K) ? alpha * (src0_read + row0 * K)[1] : 0.0f;
|
arow1.x = ((w + local_x * 2) < K) ? alpha * (src0_read + row1 * K)[0] : 0.0f;
|
arow1.y = ((w + local_x * 2 + 1) < K) ? alpha * (src0_read + row1 * K)[1] : 0.0f;
|
arow2.x = ((w + local_x * 2) < K) ? alpha * (src0_read + row2 * K)[0] : 0.0f;
|
arow2.y = ((w + local_x * 2 + 1) < K) ? alpha * (src0_read + row2 * K)[1] : 0.0f;
|
arow3.x = ((w + local_x * 2) < K) ? alpha * (src0_read + row3 * K)[0] : 0.0f;
|
arow3.y = ((w + local_x * 2 + 1) < K) ? alpha * (src0_read + row3 * K)[1] : 0.0f;
|
arow4.x = ((w + local_x * 2) < K) ? alpha * (src0_read + row4 * K)[0] : 0.0f;
|
arow4.y = ((w + local_x * 2 + 1) < K) ? alpha * (src0_read + row4 * K)[1] : 0.0f;
|
arow5.x = ((w + local_x * 2) < K) ? alpha * (src0_read + row5 * K)[0] : 0.0f;
|
arow5.y = ((w + local_x * 2 + 1) < K) ? alpha * (src0_read + row5 * K)[1] : 0.0f;
|
arow6.x = ((w + local_x * 2) < K) ? alpha * (src0_read + row6 * K)[0] : 0.0f;
|
arow6.y = ((w + local_x * 2 + 1) < K) ? alpha * (src0_read + row6 * K)[1] : 0.0f;
|
arow7.x = ((w + local_x * 2) < K) ? alpha * (src0_read + row7 * K)[0] : 0.0f;
|
arow7.y = ((w + local_x * 2 + 1) < K) ? alpha * (src0_read + row7 * K)[1] : 0.0f;
|
#define MM_DOT_PRODUCT( index, suffix ) \
|
brow = (w < K) ? vload4(0, src1_read0) : (Dtype4)0.0f; src1_read0 += N; w++; \
|
dot00 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow0), index )).s##suffix), brow, dot00 ); \
|
dot01 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow1), index )).s##suffix), brow, dot01 ); \
|
dot02 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow2), index )).s##suffix), brow, dot02 ); \
|
dot03 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow3), index )).s##suffix), brow, dot03 ); \
|
dot04 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow4), index )).s##suffix), brow, dot04 ); \
|
dot05 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow5), index )).s##suffix), brow, dot05 ); \
|
dot06 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow6), index )).s##suffix), brow, dot06 ); \
|
dot07 = mad( (Dtype4)(as_Dtype2(intel_sub_group_shuffle( SHUFFLE_TYPE2(arow7), index )).s##suffix), brow, dot07 );
|
MM_DOT_PRODUCT(0, 0);
|
MM_DOT_PRODUCT(0, 1);
|
MM_DOT_PRODUCT(1, 0);
|
MM_DOT_PRODUCT(1, 1);
|
MM_DOT_PRODUCT(2, 0);
|
MM_DOT_PRODUCT(2, 1);
|
MM_DOT_PRODUCT(3, 0);
|
MM_DOT_PRODUCT(3, 1);
|
MM_DOT_PRODUCT(4, 0);
|
MM_DOT_PRODUCT(4, 1);
|
MM_DOT_PRODUCT(5, 0);
|
MM_DOT_PRODUCT(5, 1);
|
MM_DOT_PRODUCT(6, 0);
|
MM_DOT_PRODUCT(6, 1);
|
MM_DOT_PRODUCT(7, 0);
|
MM_DOT_PRODUCT(7, 1);
|
#if TYPE == TYPE_HALF
|
MM_DOT_PRODUCT(8, 0);
|
MM_DOT_PRODUCT(8, 1);
|
MM_DOT_PRODUCT(9, 0);
|
MM_DOT_PRODUCT(9, 1);
|
MM_DOT_PRODUCT(10, 0);
|
MM_DOT_PRODUCT(10, 1);
|
MM_DOT_PRODUCT(11, 0);
|
MM_DOT_PRODUCT(11, 1);
|
MM_DOT_PRODUCT(12, 0);
|
MM_DOT_PRODUCT(12, 1);
|
MM_DOT_PRODUCT(13, 0);
|
MM_DOT_PRODUCT(13, 1);
|
MM_DOT_PRODUCT(14, 0);
|
MM_DOT_PRODUCT(14, 1);
|
MM_DOT_PRODUCT(15, 0);
|
MM_DOT_PRODUCT(15, 1);
|
#endif
|
#undef MM_DOT_PRODUCT
|
}
|
if(global_x * 4 < N && global_y * 8 < M) {
|
if(mad24(global_x, 4, 3) < N) {
|
vstore4(dot00, 0, dst_write0); dst_write0 += N;
|
if(mad24(global_y, 8, 1) < M) { vstore4(dot01, 0, dst_write0); dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 2) < M) { vstore4(dot02, 0, dst_write0); dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 3) < M) { vstore4(dot03, 0, dst_write0); dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 4) < M) { vstore4(dot04, 0, dst_write0); dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 5) < M) { vstore4(dot05, 0, dst_write0); dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 6) < M) { vstore4(dot06, 0, dst_write0); dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 7) < M) { vstore4(dot07, 0, dst_write0); }
|
} else if(mad24(global_x, 4, 2) < N) {
|
vstore2(dot00.xy, 0, dst_write0);
|
dst_write0[2] = dot00.z;
|
dst_write0 += N;
|
if(mad24(global_y, 8, 1) < M) {
|
vstore2(dot01.xy, 0, dst_write0);
|
dst_write0[2] = dot01.z;
|
dst_write0 += N;
|
} else
|
return;
|
if(mad24(global_y, 8, 2) < M) {
|
vstore2(dot02.xy, 0, dst_write0);
|
dst_write0[2] = dot02.z;
|
dst_write0 += N;
|
} else
|
return;
|
if(mad24(global_y, 8, 3) < M) {
|
vstore2(dot03.xy, 0, dst_write0);
|
dst_write0[2] = dot03.z;
|
dst_write0 += N;
|
} else
|
return;
|
if(mad24(global_y, 8, 4) < M) {
|
vstore2(dot04.xy, 0, dst_write0);
|
dst_write0[2] = dot04.z;
|
dst_write0 += N;
|
} else
|
return;
|
if(mad24(global_y, 8, 5) < M) {
|
vstore2(dot05.xy, 0, dst_write0);
|
dst_write0[2] = dot05.z;
|
dst_write0 += N;
|
} else
|
return;
|
if(mad24(global_y, 8, 6) < M) {
|
vstore2(dot06.xy, 0, dst_write0);
|
dst_write0[2] = dot06.z;
|
dst_write0 += N;
|
} else
|
return;
|
if(mad24(global_y, 8, 7) < M) {
|
vstore2(dot07.xy, 0, dst_write0);
|
dst_write0[2] = dot07.z;
|
}
|
} else if(mad24(global_x, 4, 1) < N) {
|
vstore2(dot00.xy, 0, dst_write0); dst_write0 += N;
|
if(mad24(global_y, 8, 1) < M) { vstore2(dot01.xy, 0, dst_write0); dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 2) < M) { vstore2(dot02.xy, 0, dst_write0); dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 3) < M) { vstore2(dot03.xy, 0, dst_write0); dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 4) < M) { vstore2(dot04.xy, 0, dst_write0); dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 5) < M) { vstore2(dot05.xy, 0, dst_write0); dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 6) < M) { vstore2(dot06.xy, 0, dst_write0); dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 7) < M) { vstore2(dot07.xy, 0, dst_write0); }
|
} else {
|
dst_write0[0] = dot00.x; dst_write0 += N;
|
if(mad24(global_y, 8, 1) < M) { dst_write0[0] = dot01.x; dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 2) < M) { dst_write0[0] = dot02.x; dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 3) < M) { dst_write0[0] = dot03.x; dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 4) < M) { dst_write0[0] = dot04.x; dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 5) < M) { dst_write0[0] = dot05.x; dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 6) < M) { dst_write0[0] = dot06.x; dst_write0 += N; }
|
else return;
|
if(mad24(global_y, 8, 7) < M) { dst_write0[0] = dot07.x; }
|
}
|
}
|
}
|
#undef VEC_SIZE
|
#undef LWG_HEIGHT
|
#undef TILE_M
|
#undef TILE_K
|
#undef TILE_N
|
#define VEC_SIZE 1
|
#define TILE_M 8
|
#define TILE_N 8
|
#define SLM_BLOCK 128
|
#if TYPE == TYPE_HALF
|
#define LWG_HEIGHT 2
|
#define TILE_K 64
|
#else
|
#define LWG_HEIGHT 4
|
#define TILE_K 32
|
#endif
|
#if TYPE == TYPE_HALF
|
__attribute__((reqd_work_group_size(8, LWG_HEIGHT, 1)))
|
__attribute__((intel_reqd_sub_group_size(8)))
|
__kernel void TEMPLATE(gemm_buffer_NT, Dtype)(
|
const __global Dtype *src0, int off0,
|
const __global Dtype *src1, int off1,
|
__global Dtype *dst, int offd,
|
int M,
|
int N,
|
int K,
|
KERNEL_ARG_DTYPE alpha_in,
|
KERNEL_ARG_DTYPE beta_in)
|
{
|
const Dtype alpha = (Dtype)alpha_in;
|
const Dtype beta = (Dtype)beta_in;
|
const int group_x = get_group_id(0);
|
const int group_y = get_group_id(1);
|
const int local_x = get_local_id(0);
|
const int local_y = get_local_id(1);
|
const int global_x = get_global_id(0);
|
const int global_y = get_global_id(1);
|
Dtype8 dot00 = 0.f;
|
Dtype8 dot01 = 0.f;
|
Dtype8 dot02 = 0.f;
|
Dtype8 dot03 = 0.f;
|
Dtype8 dot04 = 0.f;
|
Dtype8 dot05 = 0.f;
|
Dtype8 dot06 = 0.f;
|
Dtype8 dot07 = 0.f;
|
Dtype8 brow0;
|
Dtype8 brow1;
|
Dtype8 brow2;
|
Dtype8 brow3;
|
Dtype8 brow4;
|
Dtype8 brow5;
|
Dtype8 brow6;
|
Dtype8 brow7;
|
__global Dtype *dst_write0 = dst + local_x * VEC_SIZE + (group_x * TILE_N) + (group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M) * N + offd;
|
const __global Dtype *src0_read = src0 + local_x * (TILE_K / 8) + (group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M) * K + off0;
|
const __global Dtype *src1_read0 = src1 + (group_x * TILE_N) * K + off1;
|
__local Dtype slm_brow[8 * SLM_BLOCK];
|
__local Dtype* slm_brow0;
|
int local_index = mad24(local_y, 8, local_x) * 8;
|
int w;
|
for(int b_tile = 0; b_tile < K; b_tile += SLM_BLOCK) {
|
barrier(CLK_LOCAL_MEM_FENCE);
|
vstore4(vload4(0, (__global float *)(src1_read0 + mad24(0, K, local_index))), 0, (__local float *)(slm_brow + mad24(0, SLM_BLOCK, local_index)));
|
vstore4(vload4(0, (__global float *)(src1_read0 + mad24(1, K, local_index))), 0, (__local float *)(slm_brow + mad24(1, SLM_BLOCK, local_index)));
|
vstore4(vload4(0, (__global float *)(src1_read0 + mad24(2, K, local_index))), 0, (__local float *)(slm_brow + mad24(2, SLM_BLOCK, local_index)));
|
vstore4(vload4(0, (__global float *)(src1_read0 + mad24(3, K, local_index))), 0, (__local float *)(slm_brow + mad24(3, SLM_BLOCK, local_index)));
|
vstore4(vload4(0, (__global float *)(src1_read0 + mad24(4, K, local_index))), 0, (__local float *)(slm_brow + mad24(4, SLM_BLOCK, local_index)));
|
vstore4(vload4(0, (__global float *)(src1_read0 + mad24(5, K, local_index))), 0, (__local float *)(slm_brow + mad24(5, SLM_BLOCK, local_index)));
|
vstore4(vload4(0, (__global float *)(src1_read0 + mad24(6, K, local_index))), 0, (__local float *)(slm_brow + mad24(6, SLM_BLOCK, local_index)));
|
vstore4(vload4(0, (__global float *)(src1_read0 + mad24(7, K, local_index))), 0, (__local float *)(slm_brow + mad24(7, SLM_BLOCK, local_index)));
|
barrier(CLK_LOCAL_MEM_FENCE);
|
slm_brow0 = slm_brow + local_x * (TILE_K / 8);
|
w = b_tile;
|
int end_w = min(b_tile + SLM_BLOCK, K);
|
while( w + TILE_K <= end_w ) {
|
Dtype8 arow;
|
brow0 = as_half8(vload4(0, (__local float *)(slm_brow0 + 0 * SLM_BLOCK)));
|
brow1 = as_half8(vload4(0, (__local float *)(slm_brow0 + 1 * SLM_BLOCK)));
|
brow2 = as_half8(vload4(0, (__local float *)(slm_brow0 + 2 * SLM_BLOCK)));
|
brow3 = as_half8(vload4(0, (__local float *)(slm_brow0 + 3 * SLM_BLOCK)));
|
brow4 = as_half8(vload4(0, (__local float *)(slm_brow0 + 4 * SLM_BLOCK)));
|
brow5 = as_half8(vload4(0, (__local float *)(slm_brow0 + 5 * SLM_BLOCK)));
|
brow6 = as_half8(vload4(0, (__local float *)(slm_brow0 + 6 * SLM_BLOCK)));
|
brow7 = as_half8(vload4(0, (__local float *)(slm_brow0 + 7 * SLM_BLOCK)));
|
#define MM_DOT_PRODUCT( _row, _dot ) \
|
arow = as_half8(vload4(0, (__global float *)(src0_read + _row * K))); \
|
_dot = mad( (Dtype8)(arow.s0), (Dtype8)(brow0.s0, brow1.s0, brow2.s0, brow3.s0, brow4.s0, brow5.s0, brow6.s0, brow7.s0), _dot ); \
|
_dot = mad( (Dtype8)(arow.s1), (Dtype8)(brow0.s1, brow1.s1, brow2.s1, brow3.s1, brow4.s1, brow5.s1, brow6.s1, brow7.s1), _dot ); \
|
_dot = mad( (Dtype8)(arow.s2), (Dtype8)(brow0.s2, brow1.s2, brow2.s2, brow3.s2, brow4.s2, brow5.s2, brow6.s2, brow7.s2), _dot ); \
|
_dot = mad( (Dtype8)(arow.s3), (Dtype8)(brow0.s3, brow1.s3, brow2.s3, brow3.s3, brow4.s3, brow5.s3, brow6.s3, brow7.s3), _dot ); \
|
_dot = mad( (Dtype8)(arow.s4), (Dtype8)(brow0.s4, brow1.s4, brow2.s4, brow3.s4, brow4.s4, brow5.s4, brow6.s4, brow7.s4), _dot ); \
|
_dot = mad( (Dtype8)(arow.s5), (Dtype8)(brow0.s5, brow1.s5, brow2.s5, brow3.s5, brow4.s5, brow5.s5, brow6.s5, brow7.s5), _dot ); \
|
_dot = mad( (Dtype8)(arow.s6), (Dtype8)(brow0.s6, brow1.s6, brow2.s6, brow3.s6, brow4.s6, brow5.s6, brow6.s6, brow7.s6), _dot ); \
|
_dot = mad( (Dtype8)(arow.s7), (Dtype8)(brow0.s7, brow1.s7, brow2.s7, brow3.s7, brow4.s7, brow5.s7, brow6.s7, brow7.s7), _dot );
|
MM_DOT_PRODUCT( 0, dot00 );
|
MM_DOT_PRODUCT( 1, dot01 );
|
MM_DOT_PRODUCT( 2, dot02 );
|
MM_DOT_PRODUCT( 3, dot03 );
|
MM_DOT_PRODUCT( 4, dot04 );
|
MM_DOT_PRODUCT( 5, dot05 );
|
MM_DOT_PRODUCT( 6, dot06 );
|
MM_DOT_PRODUCT( 7, dot07 );
|
#undef MM_DOT_PRODUCT
|
src0_read += TILE_K;
|
slm_brow0 += TILE_K;
|
w += TILE_K;
|
}
|
src1_read0 += SLM_BLOCK;
|
}
|
if(w < K) {
|
Dtype8 arow;
|
#define READ_BROW(_brow, _row) \
|
_brow = as_half8(vload4(0, (__local float *)(slm_brow0 + _row * SLM_BLOCK))); \
|
_brow.s0 = (mad24(local_x, 8, w) < K) ? _brow.s0 : 0.0f; \
|
_brow.s1 = (mad24(local_x, 8, w + 1) < K) ? _brow.s1 : 0.0f; \
|
_brow.s2 = (mad24(local_x, 8, w + 2) < K) ? _brow.s2 : 0.0f; \
|
_brow.s3 = (mad24(local_x, 8, w + 3) < K) ? _brow.s3 : 0.0f; \
|
_brow.s4 = (mad24(local_x, 8, w + 4) < K) ? _brow.s4 : 0.0f; \
|
_brow.s5 = (mad24(local_x, 8, w + 5) < K) ? _brow.s5 : 0.0f; \
|
_brow.s6 = (mad24(local_x, 8, w + 6) < K) ? _brow.s6 : 0.0f; \
|
_brow.s7 = (mad24(local_x, 8, w + 7) < K) ? _brow.s7 : 0.0f;
|
READ_BROW(brow0, 0);
|
READ_BROW(brow1, 1);
|
READ_BROW(brow2, 2);
|
READ_BROW(brow3, 3);
|
READ_BROW(brow4, 4);
|
READ_BROW(brow5, 5);
|
READ_BROW(brow6, 6);
|
READ_BROW(brow7, 7);
|
#undef READ_BROW
|
#define MM_DOT_PRODUCT( _row, _dot ) \
|
arow = as_half8(vload4(0, (__global float *)(src0_read + _row * K))); \
|
arow.s0 = (mad24(local_x, 8, w) < K) ? arow.s0 : 0.0f; \
|
arow.s1 = (mad24(local_x, 8, w + 1) < K) ? arow.s1 : 0.0f; \
|
arow.s2 = (mad24(local_x, 8, w + 2) < K) ? arow.s2 : 0.0f; \
|
arow.s3 = (mad24(local_x, 8, w + 3) < K) ? arow.s3 : 0.0f; \
|
arow.s4 = (mad24(local_x, 8, w + 4) < K) ? arow.s4 : 0.0f; \
|
arow.s5 = (mad24(local_x, 8, w + 5) < K) ? arow.s5 : 0.0f; \
|
arow.s6 = (mad24(local_x, 8, w + 6) < K) ? arow.s6 : 0.0f; \
|
arow.s7 = (mad24(local_x, 8, w + 7) < K) ? arow.s7 : 0.0f; \
|
_dot = mad( (Dtype8)(arow.s0), (Dtype8)(brow0.s0, brow1.s0, brow2.s0, brow3.s0, brow4.s0, brow5.s0, brow6.s0, brow7.s0), _dot ); \
|
_dot = mad( (Dtype8)(arow.s1), (Dtype8)(brow0.s1, brow1.s1, brow2.s1, brow3.s1, brow4.s1, brow5.s1, brow6.s1, brow7.s1), _dot ); \
|
_dot = mad( (Dtype8)(arow.s2), (Dtype8)(brow0.s2, brow1.s2, brow2.s2, brow3.s2, brow4.s2, brow5.s2, brow6.s2, brow7.s2), _dot ); \
|
_dot = mad( (Dtype8)(arow.s3), (Dtype8)(brow0.s3, brow1.s3, brow2.s3, brow3.s3, brow4.s3, brow5.s3, brow6.s3, brow7.s3), _dot ); \
|
_dot = mad( (Dtype8)(arow.s4), (Dtype8)(brow0.s4, brow1.s4, brow2.s4, brow3.s4, brow4.s4, brow5.s4, brow6.s4, brow7.s4), _dot ); \
|
_dot = mad( (Dtype8)(arow.s5), (Dtype8)(brow0.s5, brow1.s5, brow2.s5, brow3.s5, brow4.s5, brow5.s5, brow6.s5, brow7.s5), _dot ); \
|
_dot = mad( (Dtype8)(arow.s6), (Dtype8)(brow0.s6, brow1.s6, brow2.s6, brow3.s6, brow4.s6, brow5.s6, brow6.s6, brow7.s6), _dot ); \
|
_dot = mad( (Dtype8)(arow.s7), (Dtype8)(brow0.s7, brow1.s7, brow2.s7, brow3.s7, brow4.s7, brow5.s7, brow6.s7, brow7.s7), _dot );
|
MM_DOT_PRODUCT( 0, dot00 );
|
MM_DOT_PRODUCT( 1, dot01 );
|
MM_DOT_PRODUCT( 2, dot02 );
|
MM_DOT_PRODUCT( 3, dot03 );
|
MM_DOT_PRODUCT( 4, dot04 );
|
MM_DOT_PRODUCT( 5, dot05 );
|
MM_DOT_PRODUCT( 6, dot06 );
|
MM_DOT_PRODUCT( 7, dot07 );
|
#undef MM_DOT_PRODUCT
|
}
|
#define REDUCE(_dot) \
|
_dot = as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 0)) + as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 1)) + as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 2)) + as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 3)) + \
|
as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 4)) + as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 5)) + as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 6)) + as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 7));
|
REDUCE(dot00);
|
REDUCE(dot01);
|
REDUCE(dot02);
|
REDUCE(dot03);
|
REDUCE(dot04);
|
REDUCE(dot05);
|
REDUCE(dot06);
|
REDUCE(dot07);
|
#undef REDUCE
|
Dtype output = 0.0f;
|
#define OUTPUT( _dot) \
|
output = (local_x == 0) ? _dot.s0 : output; \
|
output = (local_x == 1) ? _dot.s1 : output; \
|
output = (local_x == 2) ? _dot.s2 : output; \
|
output = (local_x == 3) ? _dot.s3 : output; \
|
output = (local_x == 4) ? _dot.s4 : output; \
|
output = (local_x == 5) ? _dot.s5 : output; \
|
output = (local_x == 6) ? _dot.s6 : output; \
|
output = (local_x == 7) ? _dot.s7 : output; \
|
dst_write0[0] = mad(output, alpha, beta * dst_write0[0]); \
|
dst_write0 += N;
|
if(global_x < N && global_y * 8 < M) {
|
OUTPUT(dot00);
|
if(mad24(global_y, 8, 1) < M) { OUTPUT(dot01); }
|
if(mad24(global_y, 8, 2) < M) { OUTPUT(dot02); }
|
if(mad24(global_y, 8, 3) < M) { OUTPUT(dot03); }
|
if(mad24(global_y, 8, 4) < M) { OUTPUT(dot04); }
|
if(mad24(global_y, 8, 5) < M) { OUTPUT(dot05); }
|
if(mad24(global_y, 8, 6) < M) { OUTPUT(dot06); }
|
if(mad24(global_y, 8, 7) < M) { OUTPUT(dot07); }
|
}
|
#undef OUTPUT
|
}
|
#else
|
__attribute__((reqd_work_group_size(8, LWG_HEIGHT, 1)))
|
__attribute__((intel_reqd_sub_group_size(8)))
|
__kernel void TEMPLATE(gemm_buffer_NT, Dtype)(
|
const __global Dtype *src0, int off0,
|
const __global Dtype *src1, int off1,
|
__global Dtype *dst, int offd,
|
int M,
|
int N,
|
int K,
|
KERNEL_ARG_DTYPE alpha_in,
|
KERNEL_ARG_DTYPE beta_in)
|
{
|
const Dtype alpha = (Dtype)alpha_in;
|
const Dtype beta = (Dtype)beta_in;
|
const int group_x = get_group_id(0);
|
const int group_y = get_group_id(1);
|
const int local_x = get_local_id(0);
|
const int local_y = get_local_id(1);
|
const int global_x = get_global_id(0);
|
const int global_y = get_global_id(1);
|
Dtype8 dot00 = 0.f;
|
Dtype8 dot01 = 0.f;
|
Dtype8 dot02 = 0.f;
|
Dtype8 dot03 = 0.f;
|
Dtype8 dot04 = 0.f;
|
Dtype8 dot05 = 0.f;
|
Dtype8 dot06 = 0.f;
|
Dtype8 dot07 = 0.f;
|
Dtype4 brow0;
|
Dtype4 brow1;
|
Dtype4 brow2;
|
Dtype4 brow3;
|
Dtype4 brow4;
|
Dtype4 brow5;
|
Dtype4 brow6;
|
Dtype4 brow7;
|
__global Dtype *dst_write0 = dst + local_x * VEC_SIZE + (group_x * TILE_N) + (group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M) * N + offd;
|
const __global Dtype *src0_read = src0 + local_x * (TILE_K / 8) + (group_y * LWG_HEIGHT * TILE_M + local_y * TILE_M) * K + off0;
|
const __global Dtype *src1_read0 = src1 + (group_x * TILE_N) * K + off1;
|
__local Dtype slm_brow[8 * SLM_BLOCK];
|
__local Dtype* slm_brow0;
|
int local_index = mad24(local_y, 8, local_x) * 4;
|
int w;
|
for(int b_tile = 0; b_tile < K; b_tile += SLM_BLOCK) {
|
barrier(CLK_LOCAL_MEM_FENCE);
|
vstore4(vload4(0, src1_read0 + mad24(0, K, local_index)), 0, slm_brow + mad24(0, SLM_BLOCK, local_index));
|
vstore4(vload4(0, src1_read0 + mad24(1, K, local_index)), 0, slm_brow + mad24(1, SLM_BLOCK, local_index));
|
vstore4(vload4(0, src1_read0 + mad24(2, K, local_index)), 0, slm_brow + mad24(2, SLM_BLOCK, local_index));
|
vstore4(vload4(0, src1_read0 + mad24(3, K, local_index)), 0, slm_brow + mad24(3, SLM_BLOCK, local_index));
|
vstore4(vload4(0, src1_read0 + mad24(4, K, local_index)), 0, slm_brow + mad24(4, SLM_BLOCK, local_index));
|
vstore4(vload4(0, src1_read0 + mad24(5, K, local_index)), 0, slm_brow + mad24(5, SLM_BLOCK, local_index));
|
vstore4(vload4(0, src1_read0 + mad24(6, K, local_index)), 0, slm_brow + mad24(6, SLM_BLOCK, local_index));
|
vstore4(vload4(0, src1_read0 + mad24(7, K, local_index)), 0, slm_brow + mad24(7, SLM_BLOCK, local_index));
|
barrier(CLK_LOCAL_MEM_FENCE);
|
slm_brow0 = slm_brow + local_x * (TILE_K / 8);
|
w = b_tile;
|
int end_w = min(b_tile + SLM_BLOCK, K);
|
while( w + TILE_K <= end_w ) {
|
Dtype4 arow;
|
brow0 = vload4(0, slm_brow0 + 0 * SLM_BLOCK);
|
brow1 = vload4(0, slm_brow0 + 1 * SLM_BLOCK);
|
brow2 = vload4(0, slm_brow0 + 2 * SLM_BLOCK);
|
brow3 = vload4(0, slm_brow0 + 3 * SLM_BLOCK);
|
brow4 = vload4(0, slm_brow0 + 4 * SLM_BLOCK);
|
brow5 = vload4(0, slm_brow0 + 5 * SLM_BLOCK);
|
brow6 = vload4(0, slm_brow0 + 6 * SLM_BLOCK);
|
brow7 = vload4(0, slm_brow0 + 7 * SLM_BLOCK);
|
#define MM_DOT_PRODUCT( _row, _dot ) \
|
arow = vload4(0, src0_read + _row * K); \
|
_dot = mad( (Dtype8)(arow.x), (Dtype8)(brow0.x, brow1.x, brow2.x, brow3.x, brow4.x, brow5.x, brow6.x, brow7.x), _dot ); \
|
_dot = mad( (Dtype8)(arow.y), (Dtype8)(brow0.y, brow1.y, brow2.y, brow3.y, brow4.y, brow5.y, brow6.y, brow7.y), _dot ); \
|
_dot = mad( (Dtype8)(arow.z), (Dtype8)(brow0.z, brow1.z, brow2.z, brow3.z, brow4.z, brow5.z, brow6.z, brow7.z), _dot ); \
|
_dot = mad( (Dtype8)(arow.w), (Dtype8)(brow0.w, brow1.w, brow2.w, brow3.w, brow4.w, brow5.w, brow6.w, brow7.w), _dot );
|
MM_DOT_PRODUCT( 0, dot00 );
|
MM_DOT_PRODUCT( 1, dot01 );
|
MM_DOT_PRODUCT( 2, dot02 );
|
MM_DOT_PRODUCT( 3, dot03 );
|
MM_DOT_PRODUCT( 4, dot04 );
|
MM_DOT_PRODUCT( 5, dot05 );
|
MM_DOT_PRODUCT( 6, dot06 );
|
MM_DOT_PRODUCT( 7, dot07 );
|
#undef MM_DOT_PRODUCT
|
src0_read += TILE_K;
|
slm_brow0 += TILE_K;
|
w += TILE_K;
|
}
|
src1_read0 += SLM_BLOCK;
|
}
|
if(w < K) {
|
Dtype4 arow;
|
#define READ_BROW(_brow, _row) \
|
_brow = vload4(0, slm_brow0 + _row * SLM_BLOCK); \
|
_brow.x = (mad24(local_x, 4, w) < K) ? _brow.x : 0.0f; \
|
_brow.y = (mad24(local_x, 4, w + 1) < K) ? _brow.y : 0.0f; \
|
_brow.z = (mad24(local_x, 4, w + 2) < K) ? _brow.z : 0.0f; \
|
_brow.w = (mad24(local_x, 4, w + 3) < K) ? _brow.w : 0.0f;
|
READ_BROW(brow0, 0);
|
READ_BROW(brow1, 1);
|
READ_BROW(brow2, 2);
|
READ_BROW(brow3, 3);
|
READ_BROW(brow4, 4);
|
READ_BROW(brow5, 5);
|
READ_BROW(brow6, 6);
|
READ_BROW(brow7, 7);
|
#undef READ_BROW
|
#define MM_DOT_PRODUCT( _row, _dot ) \
|
arow = vload4(0, src0_read + _row * K); \
|
arow.x = (mad24(local_x, 4, w) < K) ? arow.x : 0.0f; \
|
arow.y = (mad24(local_x, 4, w + 1) < K) ? arow.y : 0.0f; \
|
arow.z = (mad24(local_x, 4, w + 2) < K) ? arow.z : 0.0f; \
|
arow.w = (mad24(local_x, 4, w + 3) < K) ? arow.w : 0.0f; \
|
_dot = mad( (Dtype8)(arow.x), (Dtype8)(brow0.x, brow1.x, brow2.x, brow3.x, brow4.x, brow5.x, brow6.x, brow7.x), _dot ); \
|
_dot = mad( (Dtype8)(arow.y), (Dtype8)(brow0.y, brow1.y, brow2.y, brow3.y, brow4.y, brow5.y, brow6.y, brow7.y), _dot ); \
|
_dot = mad( (Dtype8)(arow.z), (Dtype8)(brow0.z, brow1.z, brow2.z, brow3.z, brow4.z, brow5.z, brow6.z, brow7.z), _dot ); \
|
_dot = mad( (Dtype8)(arow.w), (Dtype8)(brow0.w, brow1.w, brow2.w, brow3.w, brow4.w, brow5.w, brow6.w, brow7.w), _dot );
|
MM_DOT_PRODUCT( 0, dot00 );
|
MM_DOT_PRODUCT( 1, dot01 );
|
MM_DOT_PRODUCT( 2, dot02 );
|
MM_DOT_PRODUCT( 3, dot03 );
|
MM_DOT_PRODUCT( 4, dot04 );
|
MM_DOT_PRODUCT( 5, dot05 );
|
MM_DOT_PRODUCT( 6, dot06 );
|
MM_DOT_PRODUCT( 7, dot07 );
|
#undef MM_DOT_PRODUCT
|
}
|
#define REDUCE(_dot) \
|
_dot = as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 0)) + as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 1)) + as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 2)) + as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 3)) + \
|
as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 4)) + as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 5)) + as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 6)) + as_Dtype8(intel_sub_group_shuffle(SHUFFLE_TYPE8(_dot), 7));
|
REDUCE(dot00);
|
REDUCE(dot01);
|
REDUCE(dot02);
|
REDUCE(dot03);
|
REDUCE(dot04);
|
REDUCE(dot05);
|
REDUCE(dot06);
|
REDUCE(dot07);
|
#undef REDUCE
|
Dtype output = 0.0f;
|
#define OUTPUT( _dot) \
|
output = (local_x == 0) ? _dot.s0 : output; \
|
output = (local_x == 1) ? _dot.s1 : output; \
|
output = (local_x == 2) ? _dot.s2 : output; \
|
output = (local_x == 3) ? _dot.s3 : output; \
|
output = (local_x == 4) ? _dot.s4 : output; \
|
output = (local_x == 5) ? _dot.s5 : output; \
|
output = (local_x == 6) ? _dot.s6 : output; \
|
output = (local_x == 7) ? _dot.s7 : output; \
|
dst_write0[0] = mad(output, alpha, beta * dst_write0[0]); \
|
dst_write0 += N;
|
if(global_x < N && global_y * 8 < M) {
|
OUTPUT(dot00);
|
if(mad24(global_y, 8, 1) < M) { OUTPUT(dot01); }
|
if(mad24(global_y, 8, 2) < M) { OUTPUT(dot02); }
|
if(mad24(global_y, 8, 3) < M) { OUTPUT(dot03); }
|
if(mad24(global_y, 8, 4) < M) { OUTPUT(dot04); }
|
if(mad24(global_y, 8, 5) < M) { OUTPUT(dot05); }
|
if(mad24(global_y, 8, 6) < M) { OUTPUT(dot06); }
|
if(mad24(global_y, 8, 7) < M) { OUTPUT(dot07); }
|
}
|
#undef OUTPUT
|
}
|
#endif
|
#undef VEC_SIZE
|
#undef LWG_HEIGHT
|
#undef TILE_M
|
#undef TILE_K
|
#undef TILE_N
|
#undef SLM_BLOCK
|
#define SLM_SIZE 64
|
void TEMPLATE(gemm_buffer_NT_M_2_edgerows,Dtype)(
|
const __global Dtype* srca_read0,
|
const __global Dtype* srca_read1,
|
const __global Dtype* srcb_read,
|
__local Dtype4* work0,
|
__local Dtype4* work1,
|
int N,
|
int K,
|
int x_gid,
|
int lid,
|
Dtype alpha,
|
Dtype beta,
|
__global Dtype* dstc0,
|
__global Dtype* dstc1)
|
{
|
__local Dtype* work_each0 = (__local Dtype*)work0;
|
__local Dtype* work_each1 = (__local Dtype*)work1;
|
int rows = N - x_gid * 4;
|
Dtype4 dot0[3] = {(Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.)};
|
Dtype4 dot1[3] = {(Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.)};
|
int i = lid;
|
while( i < K / 4) {
|
const Dtype4 b0 = {srca_read0[i*4], srca_read0[(i*4+1)], srca_read0[(i*4+2)], srca_read0[(i*4+3)]};
|
const Dtype4 b1 = {srca_read1[i*4], srca_read1[(i*4+1)], srca_read1[(i*4+2)], srca_read1[(i*4+3)]};
|
#pragma unroll
|
for(int j = 0; j < rows; ++j) {
|
dot0[j] += b0 * vload4(i, srcb_read + j * K);
|
dot1[j] += b1 * vload4(i, srcb_read + j * K);
|
}
|
i += get_local_size(0);
|
}
|
#pragma unroll
|
for(int j = 0; j < rows; ++j) {
|
work_each0[lid * 4 + j] = dot0[j].x + dot0[j].y + dot0[j].z + dot0[j].w;
|
work_each1[lid * 4 + j] = dot1[j].x + dot1[j].y + dot1[j].z + dot1[j].w;
|
}
|
if(i == K / 4) {
|
short tail_items = K % 4;
|
if(tail_items != 0) {
|
const __global Dtype *srcb_tail = srcb_read + i * 4;
|
const __global Dtype *srca_tail0 = srca_read0 + i * 4;
|
const __global Dtype *srca_tail1 = srca_read1 + i * 4;
|
#pragma unroll
|
for(short i = 0; i < tail_items; ++i) {
|
const Dtype at0 = srca_tail0[i];
|
const Dtype at1 = srca_tail1[i];
|
#pragma unroll
|
for(int j = 0; j < rows; ++j) {
|
work_each0[lid * 4 + j] += at0 * srcb_tail[i + j * K];
|
work_each1[lid * 4 + j] += at1 * srcb_tail[i + j * K];
|
}
|
}
|
}
|
}
|
for(int stride = get_local_size(0) >> 1; stride > 0 ; stride >>= 1) {
|
barrier(CLK_LOCAL_MEM_FENCE);
|
if(lid < stride) {
|
work0[lid] += work0[lid+stride];
|
work1[lid] += work1[lid+stride];
|
}
|
}
|
if(lid == 0) {
|
#pragma unroll
|
for(int j = 0; j < rows; ++j) {
|
dstc0[(x_gid * 4 + j)] = alpha * work_each0[j] + beta * dstc0[(x_gid * 4 + j)];
|
dstc1[(x_gid * 4 + j)] = alpha * work_each1[j] + beta * dstc1[(x_gid * 4 + j)];
|
}
|
}
|
}
|
__kernel void TEMPLATE(gemm_buffer_NT_M_2,Dtype)(
|
__global const Dtype * A,
|
int offA,
|
__global const Dtype * B,
|
int offB,
|
__global Dtype * C,
|
int offC,
|
int M,
|
int N,
|
int K,
|
KERNEL_ARG_DTYPE alpha_f,
|
KERNEL_ARG_DTYPE beta_f)
|
{
|
Dtype alpha = (Dtype)alpha_f;
|
Dtype beta = (Dtype)beta_f;
|
int x_gid = get_group_id(0);
|
int lid = get_local_id(0);
|
const __global Dtype *srca_read0 = A + offA;
|
const __global Dtype *srca_read1 = srca_read0 + K;
|
const __global Dtype *srcb_read = B + x_gid * 4 * K + offB;
|
__global Dtype4 *dstc0 = (__global Dtype4*)(C + offC);
|
__global Dtype4 *dstc1 = (__global Dtype4*)((__global Dtype*)(dstc0) + N);
|
__local Dtype4 work0[SLM_SIZE];
|
__local Dtype4 work1[SLM_SIZE];
|
__local Dtype* work_each0 = (__local Dtype*)work0;
|
__local Dtype* work_each1 = (__local Dtype*)work1;
|
if(x_gid == N / 4) {
|
TEMPLATE(gemm_buffer_NT_M_2_edgerows,Dtype) \
|
(srca_read0, srca_read1, srcb_read, work0, work1, N, K, x_gid, lid, alpha, beta, (__global Dtype*)dstc0, (__global Dtype*)dstc1);
|
} else {
|
Dtype4 dot0[4] = {(Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.)};
|
Dtype4 dot1[4] = {(Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.)};
|
int i = lid;
|
while( i < K / 4) {
|
const Dtype4 b0 = vload4(i, srca_read0);
|
const Dtype4 b1 = vload4(i, srca_read1);
|
#pragma unroll
|
for(int j = 0; j < 4; ++j) {
|
Dtype4 a = vload4(i, srcb_read + j * K);
|
dot0[j] += b0 * a;
|
dot1[j] += b1 * a;
|
}
|
i += get_local_size(0);
|
}
|
#pragma unroll
|
for(int j = 0; j < 4; ++j) {
|
work_each0[lid * 4 + j] = dot0[j].x + dot0[j].y + dot0[j].z + dot0[j].w;
|
work_each1[lid * 4 + j] = dot1[j].x + dot1[j].y + dot1[j].z + dot1[j].w;
|
}
|
if(i == K / 4) {
|
short tail_items = K % 4;
|
if(tail_items != 0) {
|
const __global Dtype *srcb_tail = srcb_read + i * 4;
|
const __global Dtype *srca_tail0 = srca_read0 + i * 4;
|
const __global Dtype *srca_tail1 = srca_read1 + i * 4;
|
#pragma unroll
|
for(short i = 0; i < tail_items; ++i) {
|
const Dtype at0 = srca_tail0[i];
|
const Dtype at1 = srca_tail1[i];
|
#pragma unroll
|
for(int j = 0; j < 4; ++j) {
|
work_each0[lid * 4 + j] += at0 * srcb_tail[i + j * K];
|
work_each1[lid * 4 + j] += at1 * srcb_tail[i + j * K];
|
}
|
}
|
}
|
}
|
for(int stride = get_local_size(0) >> 1; stride > 0 ; stride >>= 1) {
|
barrier(CLK_LOCAL_MEM_FENCE);
|
if(lid < stride) {
|
work0[lid] += work0[lid+stride];
|
work1[lid] += work1[lid+stride];
|
}
|
}
|
if(lid == 0) {
|
dstc0[x_gid] = alpha * work0[0] + beta * dstc0[x_gid];
|
dstc1[x_gid] = alpha * work1[0] + beta * dstc1[x_gid];
|
}
|
}
|
}
|
#undef SLM_SIZE
|
#define SLM_SIZE 32
|
void TEMPLATE(gemm_buffer_NT_M_4_edgerows,Dtype)(
|
const __global Dtype* srca_read0,
|
const __global Dtype* srca_read1,
|
const __global Dtype* srca_read2,
|
const __global Dtype* srca_read3,
|
const __global Dtype* srcb_read,
|
__local Dtype4* work0,
|
__local Dtype4* work1,
|
__local Dtype4* work2,
|
__local Dtype4* work3,
|
int N,
|
int K,
|
int x_gid,
|
int lid,
|
Dtype alpha,
|
Dtype beta,
|
__global Dtype* dstc0,
|
__global Dtype* dstc1,
|
__global Dtype* dstc2,
|
__global Dtype* dstc3)
|
{
|
__local Dtype* work_each0 = (__local Dtype*)(work0 + lid);
|
__local Dtype* work_each1 = (__local Dtype*)(work1 + lid);
|
__local Dtype* work_each2 = (__local Dtype*)(work2 + lid);
|
__local Dtype* work_each3 = (__local Dtype*)(work3 + lid);
|
int rows = N - x_gid * 4;
|
Dtype4 dot0[3] = {(Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.)};
|
Dtype4 dot1[3] = {(Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.)};
|
Dtype4 dot2[3] = {(Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.)};
|
Dtype4 dot3[3] = {(Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.)};
|
int i = lid;
|
while( i < K / 4) {
|
const Dtype4 a0 = {srca_read0[i*4], srca_read0[(i*4+1)], srca_read0[(i*4+2)], srca_read0[(i*4+3)]};
|
const Dtype4 a1 = {srca_read1[i*4], srca_read1[(i*4+1)], srca_read1[(i*4+2)], srca_read1[(i*4+3)]};
|
const Dtype4 a2 = {srca_read2[i*4], srca_read2[(i*4+1)], srca_read2[(i*4+2)], srca_read2[(i*4+3)]};
|
const Dtype4 a3 = {srca_read3[i*4], srca_read3[(i*4+1)], srca_read3[(i*4+2)], srca_read3[(i*4+3)]};
|
#pragma unrol
|
for(int j = 0; j < rows; ++j) {
|
dot0[j] += a0 * vload4(i, srcb_read + j * K);
|
dot1[j] += a1 * vload4(i, srcb_read + j * K);
|
dot2[j] += a2 * vload4(i, srcb_read + j * K);
|
dot3[j] += a3 * vload4(i, srcb_read + j * K);
|
}
|
i += get_local_size(0);
|
}
|
#pragma unroll
|
for(int j = 0; j < rows; ++j) {
|
work_each0[j] = dot0[j].x + dot0[j].y + dot0[j].z + dot0[j].w;
|
work_each1[j] = dot1[j].x + dot1[j].y + dot1[j].z + dot1[j].w;
|
work_each2[j] = dot2[j].x + dot2[j].y + dot2[j].z + dot2[j].w;
|
work_each3[j] = dot3[j].x + dot3[j].y + dot3[j].z + dot3[j].w;
|
}
|
if(i == K / 4) {
|
short tail_items = K % 4;
|
if(tail_items != 0) {
|
const __global Dtype *srcb_tail = srcb_read + i * 4;
|
const __global Dtype *srca_tail0 = srca_read0 + i * 4;
|
const __global Dtype *srca_tail1 = srca_read1 + i * 4;
|
const __global Dtype *srca_tail2 = srca_read2 + i * 4;
|
const __global Dtype *srca_tail3 = srca_read3 + i * 4;
|
#pragma unroll
|
for(short i = 0; i < tail_items; ++i) {
|
const Dtype at0 = srca_tail0[i];
|
const Dtype at1 = srca_tail1[i];
|
const Dtype at2 = srca_tail2[i];
|
const Dtype at3 = srca_tail3[i];
|
#pragma unroll
|
for(int j = 0; j < rows; ++j) {
|
work_each0[j] += at0 * srcb_tail[i + j * K];
|
work_each1[j] += at1 * srcb_tail[i + j * K];
|
work_each2[j] += at2 * srcb_tail[i + j * K];
|
work_each3[j] += at3 * srcb_tail[i + j * K];
|
}
|
}
|
}
|
}
|
for(int stride = get_local_size(0) >> 1; stride > 0 ; stride >>= 1) {
|
barrier(CLK_LOCAL_MEM_FENCE);
|
if(lid < stride) {
|
work0[lid] += work0[lid+stride];
|
work1[lid] += work1[lid+stride];
|
work2[lid] += work2[lid+stride];
|
work3[lid] += work3[lid+stride];
|
}
|
}
|
if(lid == 0) {
|
#pragma unroll
|
for(int j = 0; j < rows; ++j) {
|
dstc0[(x_gid * 4 + j)] = alpha * work_each0[j] + beta * dstc0[(x_gid * 4 + j)];
|
dstc1[(x_gid * 4 + j)] = alpha * work_each1[j] + beta * dstc1[(x_gid * 4 + j)];
|
dstc2[(x_gid * 4 + j)] = alpha * work_each2[j] + beta * dstc2[(x_gid * 4 + j)];
|
dstc3[(x_gid * 4 + j)] = alpha * work_each3[j] + beta * dstc3[(x_gid * 4 + j)];
|
}
|
}
|
}
|
__kernel void TEMPLATE(gemm_buffer_NT_M_4,Dtype)(
|
__global const Dtype * A,
|
int offA,
|
__global const Dtype * B,
|
int offB,
|
__global Dtype * C,
|
int offC,
|
int M,
|
int N,
|
int K,
|
KERNEL_ARG_DTYPE alpha_f,
|
KERNEL_ARG_DTYPE beta_f)
|
{
|
Dtype alpha = (Dtype)alpha_f;
|
Dtype beta = (Dtype)beta_f;
|
int x_gid = get_group_id(0);
|
int lid = get_local_id(0);
|
int lsize = get_local_size(0);
|
const __global Dtype *srca_read0 = A + offA;
|
const __global Dtype *srca_read1 = srca_read0 + K;
|
const __global Dtype *srca_read2 = srca_read1 + K;
|
const __global Dtype *srca_read3 = srca_read2 + K;
|
const __global Dtype *srcb_read = B + x_gid * 4 * K + offB;
|
__global Dtype4 *dstc0 = (__global Dtype4*)(C + offC);
|
__global Dtype4 *dstc1 = (__global Dtype4*)((__global Dtype*)(dstc0) + N);
|
__global Dtype4 *dstc2 = (__global Dtype4*)((__global Dtype*)(dstc1) + N);
|
__global Dtype4 *dstc3 = (__global Dtype4*)((__global Dtype*)(dstc2) + N);
|
__local Dtype4 work0[SLM_SIZE];
|
__local Dtype4 work1[SLM_SIZE];
|
__local Dtype4 work2[SLM_SIZE];
|
__local Dtype4 work3[SLM_SIZE];
|
__local Dtype* work_each0 = (__local Dtype*)(work0 + lid);
|
__local Dtype* work_each1 = (__local Dtype*)(work1 + lid);
|
__local Dtype* work_each2 = (__local Dtype*)(work2 + lid);
|
__local Dtype* work_each3 = (__local Dtype*)(work3 + lid);
|
if(x_gid == N / 4) {
|
TEMPLATE(gemm_buffer_NT_M_4_edgerows,Dtype) \
|
(srca_read0, srca_read1, srca_read2, srca_read3, srcb_read, \
|
work0, work1, work2, work3, N, K, x_gid, lid, alpha, beta, \
|
(__global Dtype*)dstc0, (__global Dtype*)dstc1, (__global Dtype*)dstc2, (__global Dtype*)dstc3);
|
} else {
|
Dtype4 dot0[4] = {(Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.)};
|
Dtype4 dot1[4] = {(Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.)};
|
Dtype4 dot2[4] = {(Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.)};
|
Dtype4 dot3[4] = {(Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.), (Dtype4)(0.)};
|
int kid = lid;
|
while( kid < K / 4) {
|
const Dtype4 b0 = vload4(kid, srca_read0);
|
const Dtype4 b1 = vload4(kid, srca_read1);
|
const Dtype4 b2 = vload4(kid, srca_read2);
|
const Dtype4 b3 = vload4(kid, srca_read3);
|
#pragma unroll
|
for(int j = 0; j < 4; ++j) {
|
Dtype4 a = vload4(kid, srcb_read + j * K);
|
dot0[j] += b0 * a;
|
dot1[j] += b1 * a;
|
dot2[j] += b2 * a;
|
dot3[j] += b3 * a;
|
}
|
kid += lsize;
|
}
|
#pragma unroll
|
for(int j = 0; j < 4; ++j) {
|
work_each0[j] = dot0[j].x + dot0[j].y + dot0[j].z + dot0[j].w;
|
work_each1[j] = dot1[j].x + dot1[j].y + dot1[j].z + dot1[j].w;
|
work_each2[j] = dot2[j].x + dot2[j].y + dot2[j].z + dot2[j].w;
|
work_each3[j] = dot3[j].x + dot3[j].y + dot3[j].z + dot3[j].w;
|
}
|
if(kid == (K >> 2)) {
|
short tail_items = K % 4;
|
if(tail_items != 0) {
|
int offset = kid << 2;
|
const __global Dtype *srcb_tail = srcb_read + offset;
|
const __global Dtype *srca_tail0 = srca_read0 + offset;
|
const __global Dtype *srca_tail1 = srca_read1 + offset;
|
const __global Dtype *srca_tail2 = srca_read2 + offset;
|
const __global Dtype *srca_tail3 = srca_read3 + offset;
|
#pragma unroll
|
for(short i = 0; i < tail_items; ++i) {
|
const Dtype at0 = srca_tail0[i];
|
const Dtype at1 = srca_tail1[i];
|
const Dtype at2 = srca_tail2[i];
|
const Dtype at3 = srca_tail3[i];
|
#pragma unroll
|
for(int j = 0; j < 4; ++j) {
|
work_each0[j] += at0 * srcb_tail[i + j * K];
|
work_each1[j] += at1 * srcb_tail[i + j * K];
|
work_each2[j] += at2 * srcb_tail[i + j * K];
|
work_each3[j] += at3 * srcb_tail[i + j * K];
|
}
|
}
|
}
|
}
|
for(int stride = get_local_size(0) >> 1; stride > 0 ; stride >>= 1) {
|
barrier(CLK_LOCAL_MEM_FENCE);
|
if(lid < stride) {
|
work0[lid] += work0[lid+stride];
|
work1[lid] += work1[lid+stride];
|
work2[lid] += work2[lid+stride];
|
work3[lid] += work3[lid+stride];
|
}
|
}
|
if(lid == 0) {
|
dstc0[x_gid] = alpha * work0[0] + beta * dstc0[x_gid];
|
dstc1[x_gid] = alpha * work1[0] + beta * dstc1[x_gid];
|
dstc2[x_gid] = alpha * work2[0] + beta * dstc2[x_gid];
|
dstc3[x_gid] = alpha * work3[0] + beta * dstc3[x_gid];
|
}
|
}
|
}
|
#undef SLM_SIZE
|
#define SLM_SIZE 16
|
__kernel void TEMPLATE(gemm_buffer_NT_M_8,Dtype)(
|
__global const Dtype * A,
|
int offA,
|
__global const Dtype * B,
|
int offB,
|
__global Dtype * C,
|
int offC,
|
int M,
|
int N,
|
int K,
|
KERNEL_ARG_DTYPE alpha_f,
|
KERNEL_ARG_DTYPE beta_f)
|
{
|
Dtype alpha = (Dtype)alpha_f;
|
Dtype beta = (Dtype)beta_f;
|
int x_gid = get_group_id(0);
|
int lid = get_local_id(0);
|
int lsize = get_local_size(0);
|
const __global Dtype *srca_read0 = A + offA;
|
const __global Dtype *srca_read1 = srca_read0 + K;
|
const __global Dtype *srca_read2 = srca_read1 + K;
|
const __global Dtype *srca_read3 = srca_read2 + K;
|
const __global Dtype *srca_read4 = srca_read3 + K;
|
const __global Dtype *srca_read5 = srca_read4 + K;
|
const __global Dtype *srca_read6 = srca_read5 + K;
|
const __global Dtype *srca_read7 = srca_read6 + K;
|
const __global Dtype *srcb_read = B + x_gid * K + offB;
|
__global Dtype *dstc0 = C + offC;
|
__global Dtype *dstc1 = dstc0 + N;
|
__global Dtype *dstc2 = dstc1 + N;
|
__global Dtype *dstc3 = dstc2 + N;
|
__global Dtype *dstc4 = dstc3 + N;
|
__global Dtype *dstc5 = dstc4 + N;
|
__global Dtype *dstc6 = dstc5 + N;
|
__global Dtype *dstc7 = dstc6 + N;
|
__local Dtype work0[SLM_SIZE];
|
__local Dtype work1[SLM_SIZE];
|
__local Dtype work2[SLM_SIZE];
|
__local Dtype work3[SLM_SIZE];
|
__local Dtype work4[SLM_SIZE];
|
__local Dtype work5[SLM_SIZE];
|
__local Dtype work6[SLM_SIZE];
|
__local Dtype work7[SLM_SIZE];
|
Dtype4 dot0 = (Dtype4)(0.);
|
Dtype4 dot1 = (Dtype4)(0.);
|
Dtype4 dot2 = (Dtype4)(0.);
|
Dtype4 dot3 = (Dtype4)(0.);
|
Dtype4 dot4 = (Dtype4)(0.);
|
Dtype4 dot5 = (Dtype4)(0.);
|
Dtype4 dot6 = (Dtype4)(0.);
|
Dtype4 dot7 = (Dtype4)(0.);
|
int kid = lid;
|
while( kid < K / 4) {
|
const Dtype4 a0 = vload4(kid, srca_read0);
|
const Dtype4 a1 = vload4(kid, srca_read1);
|
const Dtype4 a2 = vload4(kid, srca_read2);
|
const Dtype4 a3 = vload4(kid, srca_read3);
|
const Dtype4 a4 = vload4(kid, srca_read4);
|
const Dtype4 a5 = vload4(kid, srca_read5);
|
const Dtype4 a6 = vload4(kid, srca_read6);
|
const Dtype4 a7 = vload4(kid, srca_read7);
|
Dtype4 b = vload4(kid, srcb_read);
|
dot0 += a0 * b;
|
dot1 += a1 * b;
|
dot2 += a2 * b;
|
dot3 += a3 * b;
|
dot4 += a4 * b;
|
dot5 += a5 * b;
|
dot6 += a6 * b;
|
dot7 += a7 * b;
|
kid += lsize;
|
}
|
work0[lid] = dot0.x + dot0.y + dot0.z + dot0.w;
|
work1[lid] = dot1.x + dot1.y + dot1.z + dot1.w;
|
work2[lid] = dot2.x + dot2.y + dot2.z + dot2.w;
|
work3[lid] = dot3.x + dot3.y + dot3.z + dot3.w;
|
work4[lid] = dot4.x + dot4.y + dot4.z + dot4.w;
|
work5[lid] = dot5.x + dot5.y + dot5.z + dot5.w;
|
work6[lid] = dot6.x + dot6.y + dot6.z + dot6.w;
|
work7[lid] = dot7.x + dot7.y + dot7.z + dot7.w;
|
if(kid == (K >> 2)) {
|
short tail_items = K % 4;
|
if(tail_items != 0) {
|
int offset = kid << 2;
|
const __global Dtype *srcb_tail = srcb_read + offset;
|
const __global Dtype *srca_tail0 = srca_read0 + offset;
|
const __global Dtype *srca_tail1 = srca_read1 + offset;
|
const __global Dtype *srca_tail2 = srca_read2 + offset;
|
const __global Dtype *srca_tail3 = srca_read3 + offset;
|
const __global Dtype *srca_tail4 = srca_read4 + offset;
|
const __global Dtype *srca_tail5 = srca_read5 + offset;
|
const __global Dtype *srca_tail6 = srca_read6 + offset;
|
const __global Dtype *srca_tail7 = srca_read7 + offset;
|
#pragma unroll
|
for(short item = 0; item < tail_items; ++item) {
|
work0[lid] += srca_tail0[item] * srcb_tail[item];
|
work1[lid] += srca_tail1[item] * srcb_tail[item];
|
work2[lid] += srca_tail2[item] * srcb_tail[item];
|
work3[lid] += srca_tail3[item] * srcb_tail[item];
|
work4[lid] += srca_tail4[item] * srcb_tail[item];
|
work5[lid] += srca_tail5[item] * srcb_tail[item];
|
work6[lid] += srca_tail6[item] * srcb_tail[item];
|
work7[lid] += srca_tail7[item] * srcb_tail[item];
|
}
|
}
|
}
|
for(int stride = get_local_size(0) >> 1; stride > 0 ; stride >>= 1) {
|
barrier(CLK_LOCAL_MEM_FENCE);
|
if(lid < stride) {
|
work0[lid] += work0[lid+stride];
|
work1[lid] += work1[lid+stride];
|
work2[lid] += work2[lid+stride];
|
work3[lid] += work3[lid+stride];
|
work4[lid] += work4[lid+stride];
|
work5[lid] += work5[lid+stride];
|
work6[lid] += work6[lid+stride];
|
work7[lid] += work7[lid+stride];
|
}
|
}
|
if(lid == 0) {
|
dstc0[x_gid] = alpha * work0[0] + beta * dstc0[x_gid];
|
dstc1[x_gid] = alpha * work1[0] + beta * dstc1[x_gid];
|
dstc2[x_gid] = alpha * work2[0] + beta * dstc2[x_gid];
|
dstc3[x_gid] = alpha * work3[0] + beta * dstc3[x_gid];
|
dstc4[x_gid] = alpha * work4[0] + beta * dstc4[x_gid];
|
dstc5[x_gid] = alpha * work5[0] + beta * dstc5[x_gid];
|
dstc6[x_gid] = alpha * work6[0] + beta * dstc6[x_gid];
|
dstc7[x_gid] = alpha * work7[0] + beta * dstc7[x_gid];
|
}
|
}
|
#undef SLM_SIZE
|
#undef VEC_SIZE
|
#undef LWG_HEIGHT
|
#undef TILE_M
|
#undef TILE_K
|
#undef TILE_N
|
#undef SIMD_SIZE_GEMM
|
#undef SHUFFLE_TYPE2
|
#undef SHUFFLE_TYPE8
|
5fcebbc17832052ee05b9f42c245eb08 eltwise #if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
__kernel void op_sum4(__global const Dtype * A,
|
__global const Dtype * B,
|
unsigned int A_col_size,
|
const float coeff1,
|
const float coeff2,
|
__global Dtype * C)
|
{
|
unsigned int row_gid = get_group_id(0);
|
unsigned int lid = get_local_id(0);
|
const __global Dtype *src0_read = A + row_gid * 4 * A_col_size;
|
const __global Dtype *src1_read = B + row_gid * 4 * A_col_size;
|
__global Dtype *dst0_read = C + row_gid * 4 * A_col_size;
|
Dtype4 a0, a1, a2, a3;
|
Dtype4 dot0, dot1, dot2, dot3;
|
unsigned int i = lid;
|
while( i < A_col_size / 4)
|
{
|
const Dtype4 b0 = vload4(i, src1_read);
|
const Dtype4 b1 = vload4(i, src1_read + A_col_size);
|
const Dtype4 b2 = vload4(i, src1_read + 2 * A_col_size);
|
const Dtype4 b3 = vload4(i, src1_read + 3 * A_col_size);
|
#if LOOP == 0
|
a0 = vload4(i, src0_read);
|
a1 = vload4(i, src0_read + A_col_size);
|
a2 = vload4(i, src0_read + 2 * A_col_size);
|
a3 = vload4(i, src0_read + 3 * A_col_size);
|
dot0 = a0 * (Dtype4)coeff1 + b0 * (Dtype4)coeff2;
|
dot1 = a1 * (Dtype4)coeff1 + b1 * (Dtype4)coeff2;
|
dot2 = a2 * (Dtype4)coeff1 + b2 * (Dtype4)coeff2;
|
dot3 = a3 * (Dtype4)coeff1 + b3 * (Dtype4)coeff2;
|
#else
|
a0 = vload4(i, dst0_read);
|
a1 = vload4(i, dst0_read + A_col_size);
|
a2 = vload4(i, dst0_read + 2 * A_col_size);
|
a3 = vload4(i, dst0_read + 3 * A_col_size);
|
dot0 = a0 + b0 * (Dtype4)coeff2;
|
dot1 = a1 + b1 * (Dtype4)coeff2;
|
dot2 = a2 + b2 * (Dtype4)coeff2;
|
dot3 = a3 + b3 * (Dtype4)coeff2;
|
#endif
|
vstore4(dot0, i, dst0_read);
|
vstore4(dot1, i, dst0_read + A_col_size);
|
vstore4(dot2, i, dst0_read + 2 * A_col_size);
|
vstore4(dot3, i, dst0_read + 3 * A_col_size);
|
i += get_local_size(0);
|
}
|
}
|
c01078058d3ab56727d0b26c2965434e dummy __kernel void dummy_kernel()
|
{
|
}
|
697bd1a0f09685d066b8946e159d42bc detection_output #define Dtype float
|
#define Dtype4 float4
|
__kernel void DecodeBBoxesCORNER(const int nthreads,
|
__global const Dtype* loc_data,
|
__global const Dtype* prior_data,
|
const int variance_encoded_in_target,
|
const int num_priors,
|
const int share_location,
|
const int num_loc_classes,
|
const int background_label_id,
|
const int clip_bbox,
|
const int locPredTransposed,
|
__global Dtype* bbox_data)
|
{
|
for (int index = get_global_id(0); index < nthreads; index += get_global_size(0))
|
{
|
Dtype bbox_xmin, bbox_ymin, bbox_xmax, bbox_ymax;
|
const int i = index % 4;
|
const int p = ((index / 4 / num_loc_classes) % num_priors) * 4;
|
const int c = (index / 4) % num_loc_classes;
|
int label = share_location ? -1 : c;
|
if (label == background_label_id)
|
return;
|
Dtype4 loc_vec = vload4(0, loc_data + index - i);
|
Dtype4 bbox_vec, prior_variance;
|
if (variance_encoded_in_target)
|
{
|
bbox_vec = loc_vec;
|
} else {
|
const int start_index = num_priors * 4 + p;
|
prior_variance = vload4(0, prior_data + start_index);
|
bbox_vec = loc_vec * prior_variance;
|
}
|
if (locPredTransposed)
|
{
|
bbox_ymin = bbox_vec.x;
|
bbox_xmin = bbox_vec.y;
|
bbox_ymax = bbox_vec.z;
|
bbox_xmax = bbox_vec.w;
|
} else {
|
bbox_xmin = bbox_vec.x;
|
bbox_ymin = bbox_vec.y;
|
bbox_xmax = bbox_vec.z;
|
bbox_ymax = bbox_vec.w;
|
}
|
Dtype4 prior_vec = vload4(0, prior_data + p);
|
Dtype val;
|
switch (i)
|
{
|
case 0:
|
val = prior_vec.x + bbox_xmin;
|
break;
|
case 1:
|
val = prior_vec.y + bbox_ymin;
|
break;
|
case 2:
|
val = prior_vec.z + bbox_xmax;
|
break;
|
case 3:
|
val = prior_vec.w + bbox_ymax;
|
break;
|
}
|
if (clip_bbox)
|
val = max(min(val, (Dtype)1.), (Dtype)0.);
|
bbox_data[index] = val;
|
}
|
}
|
__kernel void DecodeBBoxesCENTER_SIZE(const int nthreads,
|
__global const Dtype* loc_data,
|
__global const Dtype* prior_data,
|
const int variance_encoded_in_target,
|
const int num_priors,
|
const int share_location,
|
const int num_loc_classes,
|
const int background_label_id,
|
const int clip_bbox,
|
const int locPredTransposed,
|
__global Dtype* bbox_data)
|
{
|
for (int index = get_global_id(0); index < nthreads; index += get_global_size(0))
|
{
|
Dtype bbox_xmin, bbox_ymin, bbox_xmax, bbox_ymax;
|
const int i = index % 4;
|
const int p = ((index / 4 / num_loc_classes) % num_priors) * 4;
|
const int c = (index / 4) % num_loc_classes;
|
int label = share_location ? -1 : c;
|
if (label == background_label_id)
|
return;
|
Dtype4 loc_vec = vload4(0, loc_data + index - i);
|
Dtype4 bbox_vec, prior_variance;
|
if (variance_encoded_in_target)
|
{
|
bbox_vec = loc_vec;
|
} else {
|
const int start_index = num_priors * 4 + p;
|
prior_variance = vload4(0, prior_data + start_index);
|
bbox_vec = loc_vec * prior_variance;
|
}
|
if (locPredTransposed)
|
{
|
bbox_ymin = bbox_vec.x;
|
bbox_xmin = bbox_vec.y;
|
bbox_ymax = bbox_vec.z;
|
bbox_xmax = bbox_vec.w;
|
} else {
|
bbox_xmin = bbox_vec.x;
|
bbox_ymin = bbox_vec.y;
|
bbox_xmax = bbox_vec.z;
|
bbox_ymax = bbox_vec.w;
|
}
|
Dtype4 prior_vec = vload4(0, prior_data + p);
|
Dtype prior_width = prior_vec.z - prior_vec.x;
|
Dtype prior_height = prior_vec.w - prior_vec.y;
|
Dtype prior_center_x = (prior_vec.x + prior_vec.z) * .5;
|
Dtype prior_center_y = (prior_vec.y + prior_vec.w) * .5;
|
Dtype decode_bbox_center_x, decode_bbox_center_y;
|
Dtype decode_bbox_width, decode_bbox_height;
|
decode_bbox_center_x = bbox_xmin * prior_width + prior_center_x;
|
decode_bbox_center_y = bbox_ymin * prior_height + prior_center_y;
|
decode_bbox_width = exp(bbox_xmax) * prior_width;
|
decode_bbox_height = exp(bbox_ymax) * prior_height;
|
Dtype val;
|
switch (i)
|
{
|
case 0:
|
val = decode_bbox_center_x - decode_bbox_width * .5;
|
break;
|
case 1:
|
val = decode_bbox_center_y - decode_bbox_height * .5;
|
break;
|
case 2:
|
val = decode_bbox_center_x + decode_bbox_width * .5;
|
break;
|
case 3:
|
val = decode_bbox_center_y + decode_bbox_height * .5;
|
break;
|
}
|
if (clip_bbox)
|
val = max(min(val, (Dtype)1.), (Dtype)0.);
|
bbox_data[index] = val;
|
}
|
}
|
0817e73f5a1af5ed94be692d3f7a2ee3 conv_spatial_helper #define CONCAT(A,B) A##_##B
|
#define TEMPLATE(name,type) CONCAT(name,type)
|
#define Dtype float
|
__kernel void TEMPLATE(copyWeightsSwizzled, Dtype)
|
(__global Dtype* weightIn,
|
__global Dtype* weightOut,
|
const int kernel_w,
|
const int kernel_h,
|
const int channels,
|
const int outputs,
|
const int swizzleFactor) {
|
unsigned int sX = get_global_id(0);
|
int outputSublayer = channels / swizzleFactor;
|
int outputSublayerIndex = channels % swizzleFactor;
|
int filter = sX / (kernel_w*kernel_h*channels);
|
int kernel_X = sX % kernel_w;
|
int kernel_Y = (sX / kernel_w) % kernel_h;
|
int kernel_C = (sX / (kernel_w * kernel_h)) % channels;
|
int FP = filter / swizzleFactor;
|
int F1 = filter % swizzleFactor;
|
weightOut[FP*(kernel_w*kernel_h*channels*swizzleFactor) + kernel_C*(kernel_w*kernel_h*swizzleFactor) + kernel_Y*(kernel_w*swizzleFactor) + kernel_X*swizzleFactor + F1]
|
= weightIn[filter*(kernel_w*kernel_h*channels) + kernel_C*(kernel_w*kernel_h) + kernel_Y*kernel_w + kernel_X];
|
}
|
c67391f875fb5136ef861527e047e7fb conv_layer_spatial #if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
#define KERNEL_ARG_DTYPE float
|
#define TYPE_FLOAT 1
|
#define TYPE_HALF 2
|
#if defined(FUSED_CONV_RELU)
|
#define ACTIVATION_RELU_FUNCTION(x, c) ((Dtype)(x) > 0 ? (Dtype)(x) : ((Dtype)(x) * (negative_slope)))
|
#define FUSED_ARG KERNEL_ARG_DTYPE negative_slope,
|
#elif defined(FUSED_CONV_PRELU)
|
#define ACTIVATION_RELU_FUNCTION(x, c) ((Dtype)(x) > 0 ? (Dtype)(x) : ((Dtype)(x) * (negative_slope[c])))
|
#define FUSED_ARG __global const KERNEL_ARG_DTYPE* negative_slope,
|
#elif defined(FUSED_CONV_POWER)
|
#define ACTIVATION_RELU_FUNCTION(x, c) pow(x, (Dtype)power)
|
#define FUSED_ARG KERNEL_ARG_DTYPE power,
|
#elif defined(FUSED_CONV_TANH)
|
#define ACTIVATION_RELU_FUNCTION(x, c) tanh(x)
|
#define FUSED_ARG
|
#elif defined(FUSED_CONV_RELU6)
|
#define ACTIVATION_RELU_FUNCTION(x, c) (clamp((Dtype)(x), (Dtype)min_value, (Dtype)max_value))
|
#define FUSED_ARG KERNEL_ARG_DTYPE min_value, KERNEL_ARG_DTYPE max_value,
|
#else
|
#define ACTIVATION_RELU_FUNCTION(x, c) (x)
|
#define FUSED_ARG
|
#endif
|
#ifdef FUSED_CONV_ELTWISE
|
#define ACTIVATION_FUNCTION(_dst_, _offset_, _data_, _channel_) do { \
|
const Dtype _x_ = eltwise_data[(_offset_)] + (_data_); \
|
(_dst_)[(_offset_)] = ACTIVATION_RELU_FUNCTION(_x_, _channel_); \
|
} while(0)
|
#define ELTWISE_DATA_ARG __global Dtype* eltwise_data,
|
#else
|
#define ACTIVATION_FUNCTION(_dst_, _offset_, _data_, _channel_) do { \
|
const Dtype _x_ = (_data_); \
|
(_dst_)[(_offset_)] = ACTIVATION_RELU_FUNCTION(_x_, _channel_); \
|
} while(0)
|
#define ELTWISE_DATA_ARG
|
#endif
|
#if APPLY_BIAS
|
#define BIAS_KERNEL_ARG __global Dtype * biases_base,
|
#else
|
#define BIAS_KERNEL_ARG
|
#endif
|
#define __CAT(x, y) x##y
|
#define CAT(x, y) __CAT(x, y)
|
#define LOOP0(VAR, STMT)
|
#define LOOP1(VAR, STMT) (STMT); (VAR)++;
|
#define LOOP2(VAR, STMT) LOOP1(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP3(VAR, STMT) LOOP2(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP4(VAR, STMT) LOOP3(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP5(VAR, STMT) LOOP4(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP6(VAR, STMT) LOOP5(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP7(VAR, STMT) LOOP6(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP8(VAR, STMT) LOOP7(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP9(VAR, STMT) LOOP8(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP10(VAR, STMT) LOOP9(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP11(VAR, STMT) LOOP10(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP12(VAR, STMT) LOOP11(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP13(VAR, STMT) LOOP12(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP14(VAR, STMT) LOOP13(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP15(VAR, STMT) LOOP14(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP16(VAR, STMT) LOOP15(VAR, STMT); (STMT); (VAR)++;
|
#define LOOP(N, VAR, STMT) CAT(LOOP, N)((VAR), (STMT))
|
#if defined(convolve_simd) || defined(Conv_Interleaved)
|
#if TYPE == TYPE_HALF
|
#define INT_TYPE ushort
|
#define INT_TYPE2 ushort2
|
#define INT_TYPE4 ushort4
|
#define INT_TYPE8 ushort8
|
#define SUB_GROUP_BLOCK_READ2 intel_sub_group_block_read_us2
|
#define SUB_GROUP_BLOCK_READ4 intel_sub_group_block_read_us4
|
#define SUB_GROUP_BLOCK_READ8 intel_sub_group_block_read_us8
|
#define SUB_GROUP_BLOCK_READ intel_sub_group_block_read_us
|
#else
|
#define INT_TYPE uint
|
#define INT_TYPE2 uint2
|
#define INT_TYPE4 uint4
|
#define INT_TYPE8 uint8
|
#define SUB_GROUP_BLOCK_READ2 intel_sub_group_block_read2
|
#define SUB_GROUP_BLOCK_READ4 intel_sub_group_block_read4
|
#define SUB_GROUP_BLOCK_READ8 intel_sub_group_block_read8
|
#define SUB_GROUP_BLOCK_READ intel_sub_group_block_read
|
#endif
|
#endif
|
#ifdef KERNEL_BASIC
|
__kernel void ConvolveBasic(
|
ELTWISE_DATA_ARG
|
FUSED_ARG
|
__global Dtype* image_data,
|
int image_offset,
|
__global Dtype* kernel_data,
|
int kernel_offset,
|
__global Dtype* bias,
|
const int bias_offset,
|
__global Dtype* convolved_image_base,
|
const int convolved_image_base_offset,
|
const int convolved_image_offset,
|
const ushort input_width,
|
const ushort input_height,
|
const ushort output_width,
|
const ushort output_height,
|
const ushort pad_w,
|
const ushort pad_h
|
)
|
{
|
__global Dtype* convolved_image = convolved_image_base + convolved_image_base_offset;
|
const int outputX = get_global_id(0);
|
const int outputY = get_global_id(1);
|
const int kernelNum = get_global_id(2) * ZPAR;
|
if (outputX < output_width && outputY < output_height)
|
{
|
Dtype sum[ZPAR];
|
for (int kern = 0; kern < ZPAR; kern++)
|
{
|
sum[kern] = 0.0f;
|
}
|
const int org_y = outputY * STRIDE_Y - pad_h;
|
const int org_x = outputX * STRIDE_X - pad_w;
|
const int currentKernelOffset = kernel_offset + kernelNum*KERNEL_HEIGHT*KERNEL_WIDTH*CHANNELS;
|
#if APPLY_BIAS
|
const int biasIndex = bias_offset + kernelNum;
|
#endif
|
const int local_image_offset = org_y * input_width + org_x;
|
const int imageSize = input_width * input_height;
|
__global Dtype* image_dataPtr = (image_data + (image_offset + local_image_offset));
|
__global Dtype* kernel_dataPtr = (kernel_data + (currentKernelOffset));
|
for (int c = 0; c < CHANNELS; c++)
|
{
|
for (int y = 0; y < KERNEL_HEIGHT; y++)
|
{
|
for (int x = 0; x < KERNEL_WIDTH; x++)
|
{
|
int y_ = org_y + y * DILATION_Y;
|
int x_ = org_x + x * DILATION_X;
|
if (!(y_ >= 0 && y_ < input_height && x_ >= 0 && x_ < input_width))
|
{
|
continue;
|
}
|
for (int kern = 0; kern < ZPAR; kern++)
|
{
|
sum[kern] += image_dataPtr[x * DILATION_X] * kernel_dataPtr[kern*KERNEL_HEIGHT*KERNEL_WIDTH*CHANNELS + x];
|
}
|
}
|
image_dataPtr += input_width * DILATION_Y;
|
kernel_dataPtr += KERNEL_WIDTH;
|
}
|
image_dataPtr += imageSize - input_width*KERNEL_HEIGHT*DILATION_Y;
|
}
|
for (int kern = 0; kern < ZPAR; kern++)
|
{
|
if (kernelNum + kern < OUTPUT_Z)
|
{
|
int offset = convolved_image_offset + (kernelNum+kern)*output_height*output_width + outputY*output_width + outputX;
|
#if APPLY_BIAS
|
ACTIVATION_FUNCTION(convolved_image, offset, sum[kern] + bias[biasIndex + kern], biasIndex + kern);
|
#else
|
ACTIVATION_FUNCTION(convolved_image, offset, sum[kern], biasIndex + kern);
|
#endif
|
}
|
}
|
}
|
}
|
#elif defined KERNEL_IDLF
|
__attribute__((reqd_work_group_size(1, 1, SIMD_SIZE)))
|
__attribute__((intel_reqd_sub_group_size(SIMD_SIZE)))
|
__kernel void
|
convolve_simd(
|
ELTWISE_DATA_ARG
|
FUSED_ARG
|
__global Dtype* inputs,
|
__global Dtype* weights,
|
BIAS_KERNEL_ARG
|
__global Dtype* outputs_base,
|
const int outputs_offset,
|
const ushort input_width,
|
const ushort input_height,
|
const ushort output_width,
|
const ushort output_height)
|
{
|
__global Dtype* outputs = outputs_base + outputs_offset;
|
unsigned int oc = get_global_id(0) * OUT_BLOCK_WIDTH;
|
unsigned int or = get_global_id(1) * OUT_BLOCK_HEIGHT;
|
unsigned int fm = get_global_id(2);
|
unsigned int fmg = get_group_id(2);
|
unsigned int lid = get_local_id(2);
|
Dtype out[OUT_BLOCK_WIDTH * OUT_BLOCK_HEIGHT] = { 0.0f };
|
unsigned int weight_addr = (fmg % FILTERS_IN_GROUP) *
|
INPUT_DEPTH * KERNEL_WIDTH * KERNEL_HEIGHT * SIMD_SIZE + lid;
|
unsigned int num_in_batch = fm / ALIGNED_NUM_FILTERS;
|
unsigned int input_batch_offset = num_in_batch * INPUT_PITCH * TOTAL_INPUT_DEPTH_SIZE;
|
int curr_y = or * STRIDE_Y;
|
int curr_x = oc * STRIDE_X + lid;
|
int in_addr = input_batch_offset
|
+ (curr_y - INPUT_PAD_H) * INPUT_WIDTH
|
+ curr_x - INPUT_PAD_W;
|
const int in_limit = (get_global_size(2) / ALIGNED_NUM_FILTERS) * TOTAL_INPUT_DEPTH_SIZE * INPUT_PITCH - 1;
|
Dtype in_buf[INVEC_SIZE];
|
for(int kd = 0; kd < INPUT_DEPTH; kd++)
|
{
|
#if INPUT_PAD_W != 0 || INPUT_PAD_H != 0 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
|
const bool cx_out_of_range = !(curr_x >= INPUT_PAD_W && curr_x < INPUT_WIDTH + INPUT_PAD_W);
|
int in_offset = in_addr;
|
__attribute__((opencl_unroll_hint(INVEC_SIZE)))
|
for (int reg = 0; reg < INVEC_SIZE; reg++, in_offset += INPUT_WIDTH)
|
{
|
Dtype input = inputs[clamp(in_offset, 0, in_limit)];
|
int cy = curr_y + reg;
|
in_buf[reg] = (cx_out_of_range || cy < INPUT_PAD_H || cy >= INPUT_HEIGHT + INPUT_PAD_H) ? 0 : input;
|
}
|
#else
|
int in_offset = in_addr;
|
__attribute__((opencl_unroll_hint(INVEC_SIZE)))
|
for (int reg = 0; reg < INVEC_SIZE; reg++, in_offset += INPUT_WIDTH)
|
{
|
in_buf[reg] = inputs[min(in_offset, in_limit)];
|
}
|
#endif
|
in_addr += INPUT_PITCH;
|
#define BLOCK_IN(n, c) intel_sub_group_shuffle(in_buf[n], (c))
|
int kr = 0;
|
LOOP(KERNEL_HEIGHT, kr,
|
{
|
int kc = 0;
|
LOOP(KERNEL_WIDTH, kc,
|
{
|
Dtype weight_value = weights[weight_addr];
|
weight_addr += SIMD_SIZE;
|
for (int br=0; br < OUT_BLOCK_HEIGHT; br++)
|
{
|
for(int bc=0; bc < OUT_BLOCK_WIDTH; bc++)
|
{
|
Dtype input = BLOCK_IN((br * STRIDE_Y + kr * DILATION_Y), bc * STRIDE_X + kc * DILATION_X);
|
out[br * OUT_BLOCK_WIDTH + bc] = mad(weight_value, input, out[br * OUT_BLOCK_WIDTH + bc]);
|
}
|
}
|
});
|
});
|
}
|
fm = fm % ALIGNED_NUM_FILTERS;
|
#if LEFT_FILTERS > 0
|
if (fm < NUM_FILTERS)
|
#endif
|
{
|
unsigned int out_addr = (num_in_batch * TOTAL_OUTPUT_DEPTH + fm) * OUTPUT_PITCH;
|
out_addr += or * output_width + oc;
|
#if APPLY_BIAS
|
Dtype bias = biases_base[fm];
|
#else
|
Dtype bias = 0;
|
#endif
|
for(unsigned int r = 0; r < OUT_BLOCK_HEIGHT; r++)
|
{
|
if (r + or >= output_height) break;
|
for(unsigned int c = 0; c < OUT_BLOCK_WIDTH; c++)
|
{
|
if (c + oc >= output_width) break;
|
ACTIVATION_FUNCTION(outputs, out_addr + r * output_width + c, bias + out[r * OUT_BLOCK_WIDTH + c], fm);
|
}
|
}
|
}
|
}
|
#elif defined KERNEL_GEMM_LIKE
|
#if APPLY_BIAS
|
#define SUBGROUP_GET_BIAS(k, i) intel_sub_group_shuffle(bias[k], i)
|
#else
|
#define SUBGROUP_GET_BIAS(k, i) ((Dtype)0)
|
#endif
|
#ifdef Conv_Interleaved
|
typedef struct float1 { float s0; } float1;
|
typedef struct float5 { float s0; float s1; float s2; float s3; float s4; } float5;
|
typedef struct float6 { float s0; float s1; float s2; float s3; float s4; float s5; } float6;
|
typedef struct float7 { float s0; float s1; float s2; float s3; float s4; float s5; float s6; } float7;
|
typedef struct float9 { float s0; float s1; float s2; float s3; float s4; float s5; float s6; float s7; float s8; } float9;
|
typedef struct float10 { float s0; float s1; float s2; float s3; float s4; float s5;
|
float s6; float s7; float s8; float s9;} float10;
|
typedef struct float11 { float s0; float s1; float s2; float s3; float s4; float s5;
|
float s6; float s7; float s8; float s9; float sa;} float11;
|
typedef struct float12 { float s0; float s1; float s2; float s3; float s4; float s5;
|
float s6; float s7; float s8; float s9; float sa; float sb; } float12;
|
typedef struct float13 { float s0; float s1; float s2; float s3; float s4; float s5;
|
float s6; float s7; float s8; float s9; float sa; float sb; float sc;} float13;
|
typedef struct float14 { float s0; float s1; float s2; float s3; float s4; float s5;
|
float s6; float s7; float s8; float s9; float sa; float sb; float sc; float sd; } float14;
|
typedef struct float15 { float s0; float s1; float s2; float s3; float s4; float s5;
|
float s6; float s7; float s8; float s9; float sa; float sb; float sc; float sd; float se; } float15;
|
typedef struct float0 { float s0; } float0;
|
typedef struct half1 { half s0; } half1;
|
typedef struct half5 { half s0; half s1; half s2; half s3; half s4; } half5;
|
typedef struct half6 { half s0; half s1; half s2; half s3; half s4; half s5; } half6;
|
typedef struct half7 { half s0; half s1; half s2; half s3; half s4; half s5; half s6; } half7;
|
typedef struct half9 { half s0; half s1; half s2; half s3; half s4; half s5; half s6; half s7; half s8; } half9;
|
typedef struct half10 { half s0; half s1; half s2; half s3; half s4; half s5;
|
half s6; half s7; half s8; half s9; } half10;
|
typedef struct half11 { half s0; half s1; half s2; half s3; half s4; half s5;
|
half s6; half s7; half s8; half s9; half sa; } half11;
|
typedef struct half12 { half s0; half s1; half s2; half s3; half s4; half s5;
|
half s6; half s7; half s8; half s9; half sa; half sb; } half12;
|
typedef struct half13 { half s0; half s1; half s2; half s3; half s4; half s5;
|
half s6; half s7; half s8; half s9; half sa; half sb; half sc; } half13;
|
typedef struct half14 { half s0; half s1; half s2; half s3; half s4; half s5;
|
half s6; half s7; half s8; half s9; half sa; half sb; half sc; half sd; } half14;
|
typedef struct half15 { half s0; half s1; half s2; half s3; half s4; half s5;
|
half s6; half s7; half s8; half s9; half sa; half sb; half sc; half sd; half se; } half15;
|
typedef struct half0 { half s0; } half0;
|
#define OUT_PITCH_X output_width
|
#define ROW_PITCH input_width
|
#define GEMM_LIKE_KERNEL_ARGS \
|
ELTWISE_DATA_ARG \
|
FUSED_ARG \
|
const __global Dtype *src0, \
|
const __global Dtype *src1, \
|
BIAS_KERNEL_ARG \
|
__global Dtype *dst_base, \
|
const int dst_offset, \
|
const ushort input_width, \
|
const ushort input_height, \
|
const ushort output_width, \
|
const ushort output_height, \
|
const int out_pitch_y, \
|
const int out_pitch_z, \
|
const int aligned_input_size, \
|
const int slice_pitch
|
#endif
|
#ifdef GEMM_LIKE_CONV_32_1
|
#define TILE_M 1
|
#define TILE_K KERNEL_WIDTH
|
#define TILE_N 32
|
__attribute__((intel_reqd_sub_group_size(8)))
|
__kernel void Conv_Interleaved(GEMM_LIKE_KERNEL_ARGS)
|
{
|
__global Dtype *dst = dst_base + dst_offset;
|
const int group_x = get_group_id(0);
|
const int group_y = get_group_id(1);
|
const int global_x = get_global_id(0);
|
const int global_y = get_global_id(1);
|
const int global_z = get_global_id(2);
|
int interleaved_y;
|
int kernel_y;
|
int kernel_idx;
|
#define DOT_PRODUCT_8( _result, _rowA, colB ) \
|
{ \
|
_result.s0 = mad( _rowA, sub_group_broadcast( colB, 0 ), _result.s0 ); \
|
_result.s1 = mad( _rowA, sub_group_broadcast( colB, 1 ), _result.s1 ); \
|
_result.s2 = mad( _rowA, sub_group_broadcast( colB, 2 ), _result.s2 ); \
|
_result.s3 = mad( _rowA, sub_group_broadcast( colB, 3 ), _result.s3 ); \
|
_result.s4 = mad( _rowA, sub_group_broadcast( colB, 4 ), _result.s4 ); \
|
_result.s5 = mad( _rowA, sub_group_broadcast( colB, 5 ), _result.s5 ); \
|
_result.s6 = mad( _rowA, sub_group_broadcast( colB, 6 ), _result.s6 ); \
|
_result.s7 = mad( _rowA, sub_group_broadcast( colB, 7 ), _result.s7 ); \
|
}
|
typedef CAT( Dtype, KERNEL_WIDTH ) Dtype_t;
|
if( TILE_N_LAST == 0 || global_x < WIDTH1 / TILE_N )
|
{
|
Dtype8 blockC00 = 0.f;
|
Dtype8 blockC10 = 0.f;
|
Dtype8 blockC20 = 0.f;
|
Dtype8 blockC30 = 0.f;
|
int curr_x = ( global_y % output_width ) * STRIDE_X;
|
int curr_y = ( global_y / output_width ) * STRIDE_Y;
|
#if INPUT_PAD_H != 0 || INPUT_PAD_W != 0 || DILATION_X != 1 || DILATION_Y != 1 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
|
int saved_y = curr_y;
|
#endif
|
const __global Dtype *src0_read = src0
|
+ aligned_input_size * global_z
|
+ (curr_y - INPUT_PAD_H) * ROW_PITCH
|
+ (curr_x - INPUT_PAD_W);
|
const __global Dtype *src1_read = src1 + ( global_x * TILE_N * 2);
|
int patch_depth = 0;
|
do
|
{
|
int patch_row = 0;
|
#if INPUT_PAD_H != 0 || INPUT_PAD_W != 0 || DILATION_X != 1 || DILATION_Y != 1 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
|
curr_y = saved_y;
|
#endif
|
do
|
{
|
const bool kernel_width_is_odd = KERNEL_WIDTH % 2 == 1;
|
#if INPUT_PAD_W == 0 && INPUT_PAD_H == 0 && DILATION_X == 1 && DILATION_Y == 1 && INPUT_PAD_BOTTOM == 0 && INPUT_PAD_RIGHT == 0
|
#if KERNEL_WIDTH == 3
|
Dtype_t blockA00 = vload3(0, src0_read);
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
#else
|
Dtype_t blockA00 = ( (const __global Dtype_t*)src0_read )[ 0 ];
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
#endif
|
#else
|
Dtype_t blockA00;
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
int pos = 0;
|
LOOP(KERNEL_WIDTH, pos,
|
{
|
if (curr_y >= INPUT_PAD_H &&
|
curr_y < input_height + INPUT_PAD_H &&
|
curr_x + pos * DILATION_X >= INPUT_PAD_W &&
|
curr_x + pos * DILATION_X < input_width + INPUT_PAD_W)
|
pblockA00[pos] = src0_read[pos * DILATION_X];
|
else
|
pblockA00[pos] = 0;
|
})
|
curr_y += DILATION_Y;
|
#endif
|
src0_read += (ROW_PITCH * DILATION_Y);
|
Dtype blockB00[KERNEL_WIDTH*4];
|
Dtype8* p8BlockB00 = (Dtype8*)blockB00;
|
Dtype4* p4BlockB00 = (Dtype4*)blockB00;
|
Dtype* pBlockB00 = (Dtype* )blockB00;
|
interleaved_y = 0;
|
LOOP(KERNEL_WIDTH_DIV2, interleaved_y,
|
{
|
p8BlockB00[interleaved_y] = as_Dtype8( SUB_GROUP_BLOCK_READ8( (const __global INT_TYPE *)src1_read ) );
|
src1_read += WIDTH1 * 2;
|
} )
|
if ( kernel_width_is_odd )
|
{
|
p4BlockB00[KERNEL_WIDTH - 1] = as_Dtype4( SUB_GROUP_BLOCK_READ4( (const __global INT_TYPE *)src1_read ) );
|
src1_read += WIDTH1 * 2;
|
}
|
kernel_idx = 0;
|
interleaved_y = 0;
|
LOOP(KERNEL_WIDTH_DIV2, interleaved_y,
|
{
|
kernel_y = interleaved_y * 2;
|
DOT_PRODUCT_8( blockC00, pblockA00[kernel_y ], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC00, pblockA00[kernel_y + 1], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC10, pblockA00[kernel_y ], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC10, pblockA00[kernel_y + 1], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC20, pblockA00[kernel_y ], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC20, pblockA00[kernel_y + 1], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC30, pblockA00[kernel_y ], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC30, pblockA00[kernel_y + 1], pBlockB00[kernel_idx] ); kernel_idx++;
|
} )
|
kernel_y = interleaved_y * 2;
|
if ( kernel_width_is_odd )
|
{
|
DOT_PRODUCT_8( blockC00, pblockA00[kernel_y], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC10, pblockA00[kernel_y], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC20, pblockA00[kernel_y], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC30, pblockA00[kernel_y], pBlockB00[kernel_idx] ); kernel_idx++;
|
}
|
}
|
while( ++patch_row < KERNEL_HEIGHT );
|
src0_read += slice_pitch - ( KERNEL_HEIGHT * ROW_PITCH * DILATION_Y);
|
}
|
while ( ++patch_depth < INPUT_DEPTH );
|
int out_offset = global_z * out_pitch_z
|
+ ( group_x * TILE_N ) * out_pitch_y
|
+ ( ( global_y * TILE_M ) / output_width + OUT_PADDING_HEIGHT) * OUT_PITCH_X
|
+ ( ( global_y * TILE_M ) % output_width ) + OUT_PADDING_LEFT;
|
__global Dtype *out = dst + out_offset;
|
#if APPLY_BIAS
|
Dtype bias[4];
|
Dtype4 *bias_vec;
|
bias_vec = (Dtype4*)bias;
|
*bias_vec = as_Dtype4(SUB_GROUP_BLOCK_READ4((__global INT_TYPE *)biases_base + group_x * TILE_N));
|
if (group_x > 0xFFFFFFFEul) {
|
dst[0] = bias[0] + bias[1] + bias[2] + bias[3];
|
}
|
#else
|
const Dtype bias[4] = {0, 0, 0, 0};
|
#endif
|
if (global_y * TILE_M < output_width * output_height )
|
{
|
for (int i = 0; i < 8; i++)
|
{
|
ACTIVATION_FUNCTION(dst, out_offset + ( 0 + i ) * out_pitch_y, blockC00[i] + SUBGROUP_GET_BIAS(0, i), group_x * TILE_N + i);
|
ACTIVATION_FUNCTION(dst, out_offset + ( 8 + i ) * out_pitch_y, blockC10[i] + SUBGROUP_GET_BIAS(1, i), group_x * TILE_N + 8 + i);
|
ACTIVATION_FUNCTION(dst, out_offset + ( 16 + i ) * out_pitch_y, blockC20[i] + SUBGROUP_GET_BIAS(2, i), group_x * TILE_N + 16 + i);
|
ACTIVATION_FUNCTION(dst, out_offset + ( 24 + i ) * out_pitch_y, blockC30[i] + SUBGROUP_GET_BIAS(3, i), group_x * TILE_N + 24 + i);
|
}
|
}
|
}
|
#if TILE_N_LAST > 0
|
else
|
{
|
int i = 0;
|
Dtype8 blockC[TILE_N_LAST_DIV8];
|
LOOP(TILE_N_LAST_DIV8, i,
|
{
|
blockC[i] = 0.f;
|
} )
|
int curr_x = ( global_y % output_width ) * STRIDE_X;
|
int curr_y = ( global_y / output_width ) * STRIDE_Y;
|
#if INPUT_PAD_H != 0 || INPUT_PAD_W != 0 || DILATION_X != 1 || DILATION_Y != 1 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
|
int saved_y = curr_y;
|
#endif
|
const __global Dtype *src0_read = src0
|
+ aligned_input_size * global_z
|
+ (curr_y - INPUT_PAD_H) * ROW_PITCH
|
+ (curr_x - INPUT_PAD_W);
|
const __global Dtype *src1_read = src1 + ( global_x * TILE_N * 2);
|
int patch_depth = 0;
|
do
|
{
|
int patch_row = 0;
|
#if INPUT_PAD_H != 0 || INPUT_PAD_W != 0 || DILATION_X != 1 || DILATION_Y != 1 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
|
curr_y = saved_y;
|
#endif
|
do
|
{
|
const bool kernel_width_is_odd = KERNEL_WIDTH % 2 == 1;
|
#if INPUT_PAD_W == 0 && INPUT_PAD_H == 0 && DILATION_X == 1 && DILATION_Y == 1 && INPUT_PAD_BOTTOM == 0 && INPUT_PAD_RIGHT == 0
|
Dtype_t blockA00 = ( (const __global Dtype_t*)src0_read )[ 0 ];
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
#else
|
Dtype_t blockA00;
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
int pos = 0;
|
LOOP(KERNEL_WIDTH, pos,
|
{
|
if (curr_y >= INPUT_PAD_H &&
|
curr_y < input_height + INPUT_PAD_H &&
|
curr_x + pos * DILATION_X >= INPUT_PAD_W &&
|
curr_x + pos * DILATION_X < input_width + INPUT_PAD_W)
|
pblockA00[pos] = src0_read[pos * DILATION_X];
|
else
|
pblockA00[pos] = 0;
|
})
|
curr_y += DILATION_Y;
|
#endif
|
src0_read += (ROW_PITCH * DILATION_Y);
|
Dtype blockB[KERNEL_WIDTH * TILE_N_LAST_DIV8];
|
interleaved_y = 0;
|
LOOP(KERNEL_WIDTH_DIV2, interleaved_y,
|
{
|
#if TILE_N_LAST_DIV8 == 1
|
Dtype2* p2BlockB = (Dtype2* )blockB;
|
p2BlockB[interleaved_y] = as_Dtype2( SUB_GROUP_BLOCK_READ2( (const __global INT_TYPE*)src1_read ) );
|
#elif TILE_N_LAST_DIV8 == 2
|
Dtype4* p4BlockB = (Dtype4* )blockB;
|
p4BlockB[interleaved_y] = as_Dtype4( SUB_GROUP_BLOCK_READ4( (const __global INT_TYPE*)src1_read ) );
|
#elif TILE_N_LAST_DIV8 == 3
|
Dtype6* p6BlockB = (Dtype6* )blockB;
|
(*((Dtype8*)(&p6BlockB[interleaved_y]))).s0123 = as_Dtype4( SUB_GROUP_BLOCK_READ4( (const __global INT_TYPE*)src1_read ) );
|
(*((Dtype8*)(&p6BlockB[interleaved_y]))).s45 = as_Dtype2( SUB_GROUP_BLOCK_READ2( (const __global INT_TYPE*)(src1_read + 4 * 8) ) );
|
#endif
|
src1_read += WIDTH1 * 2;
|
} )
|
if ( kernel_width_is_odd )
|
{
|
#if TILE_N_LAST_DIV8 == 1
|
Dtype* pBlockB = (Dtype* )blockB;
|
pBlockB[KERNEL_WIDTH - 1] = as_Dtype( SUB_GROUP_BLOCK_READ( (const __global INT_TYPE*)src1_read ) );
|
#elif TILE_N_LAST_DIV8 == 2
|
Dtype2* p2BlockB = (Dtype2* )blockB;
|
p2BlockB[KERNEL_WIDTH - 1] = as_Dtype2( SUB_GROUP_BLOCK_READ2( (const __global INT_TYPE*)src1_read ) );
|
#elif TILE_N_LAST_DIV8 == 3
|
Dtype3* p3BlockB = (Dtype3* )blockB;
|
p3BlockB[KERNEL_WIDTH - 1].s01 = as_Dtype2( SUB_GROUP_BLOCK_READ2( (const __global INT_TYPE*)src1_read ) );
|
p3BlockB[KERNEL_WIDTH - 1].s2 = as_Dtype( SUB_GROUP_BLOCK_READ( (const __global INT_TYPE*) (src1_read + 2 * 8) ) );
|
#endif
|
src1_read += WIDTH1 * 2;
|
}
|
Dtype* pBlockB = (Dtype*)blockB;
|
kernel_idx = 0;
|
interleaved_y = 0;
|
LOOP(KERNEL_WIDTH_DIV2, interleaved_y,
|
{
|
kernel_y = interleaved_y * 2;
|
DOT_PRODUCT_8( blockC[0], pblockA00[kernel_y ], pBlockB[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC[0], pblockA00[kernel_y + 1], pBlockB[kernel_idx] ); kernel_idx++;
|
#if TILE_N_LAST_DIV8 >= 2
|
DOT_PRODUCT_8( blockC[1], pblockA00[kernel_y ], pBlockB[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC[1], pblockA00[kernel_y + 1], pBlockB[kernel_idx] ); kernel_idx++;
|
#if TILE_N_LAST_DIV8 >= 3
|
DOT_PRODUCT_8( blockC[2], pblockA00[kernel_y ], pBlockB[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC[2], pblockA00[kernel_y + 1], pBlockB[kernel_idx] ); kernel_idx++;
|
#endif
|
#endif
|
} )
|
kernel_y = interleaved_y * 2;
|
if ( kernel_width_is_odd )
|
{
|
DOT_PRODUCT_8( blockC[0], pblockA00[kernel_y], pBlockB[kernel_idx] ); kernel_idx++;
|
#if TILE_N_LAST_DIV8 >= 2
|
DOT_PRODUCT_8( blockC[1], pblockA00[kernel_y], pBlockB[kernel_idx] ); kernel_idx++;
|
#if TILE_N_LAST_DIV8 >= 3
|
DOT_PRODUCT_8( blockC[2], pblockA00[kernel_y], pBlockB[kernel_idx] ); kernel_idx++;
|
#endif
|
#endif
|
}
|
}
|
while( ++patch_row < KERNEL_HEIGHT );
|
src0_read += slice_pitch - ( KERNEL_HEIGHT * ROW_PITCH * DILATION_Y );
|
}
|
while ( ++patch_depth < INPUT_DEPTH );
|
int out_offset = global_z * out_pitch_z
|
+ ( group_x * TILE_N ) * out_pitch_y
|
+ ( ( global_y * TILE_M ) / output_width + OUT_PADDING_HEIGHT) * OUT_PITCH_X
|
+ ( ( global_y * TILE_M ) % output_width ) + OUT_PADDING_LEFT;
|
__global Dtype *out = dst + out_offset;
|
#if APPLY_BIAS
|
Dtype bias[4];
|
Dtype4 *bias_vec;
|
bias_vec = (Dtype4*)bias;
|
*bias_vec = as_Dtype4(SUB_GROUP_BLOCK_READ4((__global INT_TYPE *)biases_base + group_x * TILE_N));
|
if (group_x > 0xFFFFFFFEul) {
|
dst[0] = bias[0] + bias[1] + bias[2] + bias[3];
|
}
|
#else
|
const Dtype bias[4] = {0, 0, 0, 0};
|
#endif
|
if (global_y * TILE_M < output_width * output_height )
|
{
|
for (int i = 0; i < 8; i++)
|
{
|
if ( TILE_N_LAST_DIV8 > 0 )
|
{
|
ACTIVATION_FUNCTION(dst, out_offset + ( 0+i) * out_pitch_y, blockC[0][i] + SUBGROUP_GET_BIAS(0, i), group_x * TILE_N + i);
|
}
|
if ( TILE_N_LAST_DIV8 > 1 )
|
{
|
ACTIVATION_FUNCTION(dst, out_offset + ( 8+i) * out_pitch_y, blockC[1][i] + SUBGROUP_GET_BIAS(1, i), group_x * TILE_N + i + 8);
|
}
|
if ( TILE_N_LAST_DIV8 > 2 )
|
{
|
ACTIVATION_FUNCTION(dst, out_offset + (16+i) * out_pitch_y, blockC[2][i] + SUBGROUP_GET_BIAS(2, i), group_x * TILE_N + i + 16);
|
}
|
if ( TILE_N_LAST_DIV8 > 3 )
|
{
|
ACTIVATION_FUNCTION(dst, out_offset + (24+i) * out_pitch_y, blockC[3][i] + SUBGROUP_GET_BIAS(3, i), group_x * TILE_N + i + 24);
|
}
|
}
|
}
|
}
|
#endif
|
}
|
#endif
|
#ifdef GEMM_LIKE_CONV_32_2
|
#define TILE_M 2
|
#define TILE_K KERNEL_WIDTH
|
#define TILE_N 32
|
__attribute__((intel_reqd_sub_group_size(8)))
|
__kernel void Conv_Interleaved(GEMM_LIKE_KERNEL_ARGS)
|
{
|
__global Dtype *dst = dst_base + dst_offset;
|
const int group_x = get_group_id(0);
|
const int group_y = get_group_id(1);
|
const int global_x = get_global_id(0);
|
const int global_y = get_global_id(1);
|
const int global_z = get_global_id(2);
|
int interleaved_y;
|
int kernel_y;
|
int kernel_idx;
|
#define DOT_PRODUCT_8( _result, _rowA, colB ) \
|
{ \
|
_result.s0 = mad( _rowA, sub_group_broadcast( colB, 0 ), _result.s0 ); \
|
_result.s1 = mad( _rowA, sub_group_broadcast( colB, 1 ), _result.s1 ); \
|
_result.s2 = mad( _rowA, sub_group_broadcast( colB, 2 ), _result.s2 ); \
|
_result.s3 = mad( _rowA, sub_group_broadcast( colB, 3 ), _result.s3 ); \
|
_result.s4 = mad( _rowA, sub_group_broadcast( colB, 4 ), _result.s4 ); \
|
_result.s5 = mad( _rowA, sub_group_broadcast( colB, 5 ), _result.s5 ); \
|
_result.s6 = mad( _rowA, sub_group_broadcast( colB, 6 ), _result.s6 ); \
|
_result.s7 = mad( _rowA, sub_group_broadcast( colB, 7 ), _result.s7 ); \
|
}
|
typedef CAT( Dtype, KERNEL_WIDTH ) Dtype_t;
|
if( TILE_N_LAST == 0 || global_x < WIDTH1 / TILE_N )
|
{
|
Dtype8 blockC00 = 0.f;
|
Dtype8 blockC10 = 0.f;
|
Dtype8 blockC20 = 0.f;
|
Dtype8 blockC30 = 0.f;
|
Dtype8 blockC01 = 0.f;
|
Dtype8 blockC11 = 0.f;
|
Dtype8 blockC21 = 0.f;
|
Dtype8 blockC31 = 0.f;
|
int curr_x0 = ( ( global_y * TILE_M + 0 ) % output_width ) * STRIDE_X;
|
int curr_x1 = ( ( global_y * TILE_M + 1 ) % output_width ) * STRIDE_X;
|
int curr_y0 = ( ( global_y * TILE_M + 0 ) / output_width ) * STRIDE_Y;
|
int curr_y1 = ( ( global_y * TILE_M + 1 ) / output_width ) * STRIDE_Y;
|
#if INPUT_PAD_H != 0 || INPUT_PAD_W != 0 || DILATION_X != 1 || DILATION_Y != 1 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
|
int saved_y0 = curr_y0;
|
int saved_y1 = curr_y1;
|
#endif
|
const __global Dtype *src0_read0 = src0
|
+ aligned_input_size * global_z
|
+ (curr_y0 - INPUT_PAD_H) * ROW_PITCH
|
+ curr_x0 - INPUT_PAD_W;
|
const __global Dtype *src0_read1 = src0
|
+ aligned_input_size * global_z
|
+ (curr_y1 - INPUT_PAD_H) * ROW_PITCH
|
+ curr_x1 - INPUT_PAD_W;
|
const __global Dtype *src1_read = src1 + ( global_x * TILE_N * 2);
|
int patch_depth = 0;
|
do
|
{
|
int patch_row = 0;
|
do
|
{
|
const bool kernel_width_is_odd = KERNEL_WIDTH % 2 == 1;
|
#if INPUT_PAD_H == 0 && INPUT_PAD_W == 0 && DILATION_X == 1 && DILATION_Y == 1 && INPUT_PAD_BOTTOM == 0 && INPUT_PAD_RIGHT == 0
|
#if KERNEL_WIDTH == 3
|
Dtype_t blockA00 = vload3(0, src0_read0); src0_read0 += ROW_PITCH;
|
Dtype_t blockA01 = vload3(0, src0_read1); src0_read1 += ROW_PITCH;
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
Dtype* pblockA01 = (Dtype*)(&blockA01);
|
#else
|
Dtype_t blockA00 = { (Dtype)0.f };
|
Dtype_t blockA01 = { (Dtype)0.f };
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
Dtype* pblockA01 = (Dtype*)(&blockA01);
|
int pos = 0;
|
LOOP(KERNEL_WIDTH, pos,
|
{
|
if (curr_x0 + pos < input_width)
|
pblockA00[pos] = src0_read0[pos];
|
if (curr_x1 + pos < input_width)
|
pblockA01[pos] = src0_read1[pos];
|
})
|
src0_read0 += ROW_PITCH;
|
src0_read1 += ROW_PITCH;
|
#endif
|
#else
|
Dtype_t blockA00;
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
int pos = 0;
|
LOOP(KERNEL_WIDTH, pos,
|
{
|
if (curr_y0 >= INPUT_PAD_H &&
|
curr_y0 < input_height + INPUT_PAD_H &&
|
curr_x0 + pos * DILATION_X >= INPUT_PAD_W &&
|
curr_x0 + pos * DILATION_X < input_width + INPUT_PAD_W)
|
pblockA00[pos] = src0_read0[pos * DILATION_X];
|
else
|
pblockA00[pos] = 0;
|
})
|
curr_y0 += DILATION_Y;
|
Dtype_t blockA01;
|
Dtype* pblockA01 = (Dtype*)(&blockA01);
|
pos = 0;
|
LOOP(KERNEL_WIDTH, pos,
|
{
|
if (curr_y1 >= INPUT_PAD_H &&
|
curr_y1 < input_height + INPUT_PAD_H &&
|
curr_x1 + pos * DILATION_X >= INPUT_PAD_W &&
|
curr_x1 + pos * DILATION_X < input_width + INPUT_PAD_W)
|
pblockA01[pos] = src0_read1[pos * DILATION_X];
|
else
|
pblockA01[pos] = 0;
|
})
|
curr_y1 += DILATION_Y;
|
src0_read0 += (ROW_PITCH * DILATION_Y);
|
src0_read1 += (ROW_PITCH * DILATION_Y);
|
#endif
|
Dtype blockB00[KERNEL_WIDTH*4];
|
Dtype8* p8BlockB00 = (Dtype8*)blockB00;
|
Dtype4* p4BlockB00 = (Dtype4*)blockB00;
|
Dtype* pBlockB00 = (Dtype* )blockB00;
|
interleaved_y = 0;
|
LOOP(KERNEL_WIDTH_DIV2, interleaved_y,
|
{
|
p8BlockB00[interleaved_y] = as_Dtype8( SUB_GROUP_BLOCK_READ8( (const __global INT_TYPE*)src1_read ) );
|
src1_read += WIDTH1 * 2;
|
} )
|
if ( kernel_width_is_odd )
|
{
|
p4BlockB00[KERNEL_WIDTH - 1] = as_Dtype4( SUB_GROUP_BLOCK_READ4( (const __global INT_TYPE*)src1_read ) );
|
src1_read += WIDTH1 * 2;
|
}
|
kernel_idx = 0;
|
interleaved_y = 0;
|
LOOP(KERNEL_WIDTH_DIV2, interleaved_y,
|
{
|
kernel_y = interleaved_y * 2;
|
DOT_PRODUCT_8( blockC00, pblockA00[kernel_y ], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_8( blockC01, pblockA01[kernel_y ], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC00, pblockA00[kernel_y + 1], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_8( blockC01, pblockA01[kernel_y + 1], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC10, pblockA00[kernel_y ], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_8( blockC11, pblockA01[kernel_y ], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC10, pblockA00[kernel_y + 1], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_8( blockC11, pblockA01[kernel_y + 1], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC20, pblockA00[kernel_y ], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_8( blockC21, pblockA01[kernel_y ], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC20, pblockA00[kernel_y + 1], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_8( blockC21, pblockA01[kernel_y + 1], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC30, pblockA00[kernel_y ], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_8( blockC31, pblockA01[kernel_y ], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC30, pblockA00[kernel_y + 1], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_8( blockC31, pblockA01[kernel_y + 1], pBlockB00[kernel_idx] ); kernel_idx++;
|
} )
|
if ( kernel_width_is_odd )
|
{
|
kernel_y = interleaved_y * 2;
|
DOT_PRODUCT_8( blockC00, pblockA00[kernel_y], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_8( blockC01, pblockA01[kernel_y], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC10, pblockA00[kernel_y], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_8( blockC11, pblockA01[kernel_y], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC20, pblockA00[kernel_y], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_8( blockC21, pblockA01[kernel_y], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC30, pblockA00[kernel_y], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_8( blockC31, pblockA01[kernel_y], pBlockB00[kernel_idx] ); kernel_idx++;
|
}
|
}
|
while( ++patch_row < KERNEL_HEIGHT );
|
#if INPUT_PAD_W != 0 || INPUT_PAD_H != 0 || DILATION_X != 1 || DILATION_Y != 1 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
|
curr_y0 = saved_y0;
|
curr_y1 = saved_y1;
|
#endif
|
src0_read0 += slice_pitch - ( KERNEL_HEIGHT * ROW_PITCH * DILATION_Y );
|
src0_read1 += slice_pitch - ( KERNEL_HEIGHT * ROW_PITCH * DILATION_Y );
|
}
|
while ( ++patch_depth < INPUT_DEPTH );
|
int out0_offset = global_z * out_pitch_z
|
+ ( group_x * TILE_N ) * out_pitch_y
|
+ ( ( global_y * TILE_M + 0 ) / output_width + OUT_PADDING_HEIGHT ) * OUT_PITCH_X
|
+ ( ( global_y * TILE_M + 0 ) % output_width ) + OUT_PADDING_LEFT;
|
int out1_offset = global_z * out_pitch_z
|
+ ( group_x * TILE_N ) * out_pitch_y
|
+ ( ( global_y * TILE_M + 1 ) / output_width + OUT_PADDING_HEIGHT ) * OUT_PITCH_X
|
+ ( ( global_y * TILE_M + 1 ) % output_width ) + OUT_PADDING_LEFT;
|
#if APPLY_BIAS
|
Dtype bias[4];
|
Dtype4 *bias_vec;
|
bias_vec = (Dtype4*)bias;
|
*bias_vec = as_Dtype4(SUB_GROUP_BLOCK_READ4((__global INT_TYPE *)biases_base + group_x * TILE_N));
|
if (group_x > 0xFFFFFFFEul) {
|
dst[0] = bias[0] + bias[1] + bias[2] + bias[3];
|
}
|
#else
|
const Dtype bias[4] = {0, 0, 0, 0};
|
#endif
|
if( global_y * TILE_M < output_width * output_height )
|
{
|
for( int i = 0; i < 8; i++ )
|
{
|
ACTIVATION_FUNCTION(dst, out0_offset + ( 0+i) * out_pitch_y, blockC00[i] + SUBGROUP_GET_BIAS(0, i), group_x * TILE_N + i);
|
ACTIVATION_FUNCTION(dst, out0_offset + ( 8+i) * out_pitch_y, blockC10[i] + SUBGROUP_GET_BIAS(1, i), group_x * TILE_N + i + 8);
|
ACTIVATION_FUNCTION(dst, out0_offset + (16+i) * out_pitch_y, blockC20[i] + SUBGROUP_GET_BIAS(2, i), group_x * TILE_N + i + 16);
|
ACTIVATION_FUNCTION(dst, out0_offset + (24+i) * out_pitch_y, blockC30[i] + SUBGROUP_GET_BIAS(3, i), group_x * TILE_N + i + 24);
|
}
|
}
|
if( global_y * TILE_M + 1 < output_width * output_height )
|
{
|
for( int i = 0; i < 8; i++ )
|
{
|
ACTIVATION_FUNCTION(dst, out1_offset + ( 0+i) * out_pitch_y, blockC01[i] + SUBGROUP_GET_BIAS(0, i), group_x * TILE_N + i);
|
ACTIVATION_FUNCTION(dst, out1_offset + ( 8+i) * out_pitch_y, blockC11[i] + SUBGROUP_GET_BIAS(1, i), group_x * TILE_N + i + 8);
|
ACTIVATION_FUNCTION(dst, out1_offset + (16+i) * out_pitch_y, blockC21[i] + SUBGROUP_GET_BIAS(2, i), group_x * TILE_N + i + 16);
|
ACTIVATION_FUNCTION(dst, out1_offset + (24+i) * out_pitch_y, blockC31[i] + SUBGROUP_GET_BIAS(3, i), group_x * TILE_N + i + 24);
|
}
|
}
|
}
|
#if TILE_N_LAST > 0
|
else
|
{
|
int i = 0;
|
Dtype8 blockC0[TILE_N_LAST_DIV8];
|
Dtype8 blockC1[TILE_N_LAST_DIV8];
|
LOOP(TILE_N_LAST_DIV8, i,
|
{
|
blockC0[i] = 0.f;
|
blockC1[i] = 0.f;
|
} )
|
int curr_x0 = ( ( global_y * TILE_M + 0 ) % output_width ) * STRIDE_X;
|
int curr_x1 = ( ( global_y * TILE_M + 1 ) % output_width ) * STRIDE_X;
|
int curr_y0 = ( ( global_y * TILE_M + 0 ) / output_width ) * STRIDE_Y;
|
int curr_y1 = ( ( global_y * TILE_M + 1 ) / output_width ) * STRIDE_Y;
|
#if INPUT_PAD_H != 0 || INPUT_PAD_W != 0 || DILATION_X != 1 || DILATION_Y != 1 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
|
int saved_y0 = curr_y0;
|
int saved_y1 = curr_y1;
|
#endif
|
const __global Dtype *src0_read0 = src0
|
+ aligned_input_size * global_z
|
+ (curr_y0 - INPUT_PAD_H) * ROW_PITCH
|
+ curr_x0 - INPUT_PAD_W;
|
const __global Dtype *src0_read1 = src0
|
+ aligned_input_size * global_z
|
+ (curr_y1 - INPUT_PAD_H) * ROW_PITCH
|
+ curr_x1 - INPUT_PAD_W;
|
const __global Dtype *src1_read = src1 + ( global_x * TILE_N * 2);
|
int patch_depth = 0;
|
do
|
{
|
int patch_row = 0;
|
do
|
{
|
const bool kernel_width_is_odd = KERNEL_WIDTH % 2 == 1;
|
#if INPUT_PAD_H == 0 && INPUT_PAD_W == 0 && DILATION_X == 1 && DILATION_Y == 1 && INPUT_PAD_BOTTOM == 0 && INPUT_PAD_RIGHT == 0
|
Dtype_t blockA00 = ( (const __global Dtype_t*)src0_read0 )[ 0 ]; src0_read0 += ROW_PITCH;
|
Dtype_t blockA01 = ( (const __global Dtype_t*)src0_read1 )[ 0 ]; src0_read1 += ROW_PITCH;
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
Dtype* pblockA01 = (Dtype*)(&blockA01);
|
#else
|
Dtype_t blockA00;
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
int pos = 0;
|
LOOP(KERNEL_WIDTH, pos,
|
{
|
if (curr_y0 >= INPUT_PAD_H &&
|
curr_y0 < input_height + INPUT_PAD_H &&
|
curr_x0 + pos * DILATION_X >= INPUT_PAD_W &&
|
curr_x0 + pos * DILATION_X < input_width + INPUT_PAD_W)
|
pblockA00[pos] = src0_read0[pos * DILATION_X];
|
else
|
pblockA00[pos] = 0;
|
})
|
curr_y0 += DILATION_Y;
|
Dtype_t blockA01;
|
Dtype* pblockA01 = (Dtype*)(&blockA01);
|
pos = 0;
|
LOOP(KERNEL_WIDTH, pos,
|
{
|
if (curr_y1 >= INPUT_PAD_H &&
|
curr_y1 < input_height + INPUT_PAD_H &&
|
curr_x1 + pos * DILATION_X >= INPUT_PAD_W &&
|
curr_x1 + pos * DILATION_X < input_width + INPUT_PAD_W)
|
pblockA01[pos] = src0_read1[pos * DILATION_X];
|
else
|
pblockA01[pos] = 0;
|
})
|
curr_y1 += DILATION_Y;
|
src0_read0 += (ROW_PITCH * DILATION_Y);
|
src0_read1 += (ROW_PITCH * DILATION_Y);
|
#endif
|
Dtype blockB[KERNEL_WIDTH * TILE_N_LAST_DIV8];
|
interleaved_y = 0;
|
LOOP(KERNEL_WIDTH_DIV2, interleaved_y,
|
{
|
#if TILE_N_LAST_DIV8 == 1
|
Dtype2* p2BlockB = (Dtype2* )blockB;
|
p2BlockB[interleaved_y] = as_Dtype2( SUB_GROUP_BLOCK_READ2( (const __global INT_TYPE*)src1_read ) );
|
#elif TILE_N_LAST_DIV8 == 2
|
Dtype4* p4BlockB = (Dtype4* )blockB;
|
p4BlockB[interleaved_y] = as_Dtype4( SUB_GROUP_BLOCK_READ4( (const __global INT_TYPE*)src1_read ) );
|
#elif TILE_N_LAST_DIV8 == 3
|
Dtype6* p6BlockB = (Dtype6* )blockB;
|
(*((Dtype8*)(&p6BlockB[interleaved_y]))).s0123 = as_Dtype4( SUB_GROUP_BLOCK_READ4( (const __global INT_TYPE*)src1_read ) );
|
(*((Dtype8*)(&p6BlockB[interleaved_y]))).s45 = as_Dtype2( SUB_GROUP_BLOCK_READ2( (const __global INT_TYPE*)(src1_read + 4 * 8) ) );
|
#endif
|
src1_read += WIDTH1 * 2;
|
} )
|
if ( kernel_width_is_odd )
|
{
|
#if TILE_N_LAST_DIV8 == 1
|
Dtype* pBlockB = (Dtype* )blockB;
|
pBlockB[KERNEL_WIDTH - 1] = as_Dtype( SUB_GROUP_BLOCK_READ( (const __global INT_TYPE*)src1_read ) );
|
#elif TILE_N_LAST_DIV8 == 2
|
Dtype2* p2BlockB = (Dtype2* )blockB;
|
p2BlockB[KERNEL_WIDTH - 1] = as_Dtype2( SUB_GROUP_BLOCK_READ2( (const __global INT_TYPE*)src1_read ) );
|
#elif TILE_N_LAST_DIV8 == 3
|
Dtype3* p3BlockB = (Dtype3* )blockB;
|
p3BlockB[KERNEL_WIDTH - 1].s01 = as_Dtype2( SUB_GROUP_BLOCK_READ2( (const __global INT_TYPE*)src1_read ) );
|
p3BlockB[KERNEL_WIDTH - 1].s2 = as_Dtype( SUB_GROUP_BLOCK_READ( (const __global INT_TYPE*) (src1_read + 8) ) );
|
#endif
|
src1_read += WIDTH1 * 2;
|
}
|
Dtype* pBlockB = (Dtype*)blockB;
|
kernel_idx = 0;
|
interleaved_y = 0;
|
LOOP(KERNEL_WIDTH_DIV2, interleaved_y,
|
{
|
kernel_y = interleaved_y * 2;
|
DOT_PRODUCT_8( blockC0[0], pblockA00[kernel_y ], pBlockB[kernel_idx] );
|
DOT_PRODUCT_8( blockC1[0], pblockA01[kernel_y ], pBlockB[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC0[0], pblockA00[kernel_y + 1], pBlockB[kernel_idx] );
|
DOT_PRODUCT_8( blockC1[0], pblockA01[kernel_y + 1], pBlockB[kernel_idx] ); kernel_idx++;
|
#if TILE_N_LAST_DIV8 >= 2
|
DOT_PRODUCT_8( blockC0[1], pblockA00[kernel_y ], pBlockB[kernel_idx] );
|
DOT_PRODUCT_8( blockC1[1], pblockA01[kernel_y ], pBlockB[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC0[1], pblockA00[kernel_y + 1], pBlockB[kernel_idx] );
|
DOT_PRODUCT_8( blockC1[1], pblockA01[kernel_y + 1], pBlockB[kernel_idx] ); kernel_idx++;
|
#if TILE_N_LAST_DIV8 >= 3
|
DOT_PRODUCT_8( blockC0[2], pblockA00[kernel_y ], pBlockB[kernel_idx] );
|
DOT_PRODUCT_8( blockC1[2], pblockA01[kernel_y ], pBlockB[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_8( blockC0[2], pblockA00[kernel_y + 1], pBlockB[kernel_idx] );
|
DOT_PRODUCT_8( blockC1[2], pblockA01[kernel_y + 1], pBlockB[kernel_idx] ); kernel_idx++;
|
#endif
|
#endif
|
} )
|
kernel_y = interleaved_y * 2;
|
if ( kernel_width_is_odd )
|
{
|
DOT_PRODUCT_8( blockC0[0], pblockA00[kernel_y], pBlockB[kernel_idx] );
|
DOT_PRODUCT_8( blockC1[0], pblockA01[kernel_y], pBlockB[kernel_idx] ); kernel_idx++;
|
#if TILE_N_LAST_DIV8 >= 2
|
DOT_PRODUCT_8( blockC0[1], pblockA00[kernel_y], pBlockB[kernel_idx] );
|
DOT_PRODUCT_8( blockC1[1], pblockA01[kernel_y], pBlockB[kernel_idx] ); kernel_idx++;
|
#if TILE_N_LAST_DIV8 >= 3
|
DOT_PRODUCT_8( blockC0[2], pblockA00[kernel_y], pBlockB[kernel_idx] );
|
DOT_PRODUCT_8( blockC1[2], pblockA01[kernel_y], pBlockB[kernel_idx] ); kernel_idx++;
|
#endif
|
#endif
|
}
|
}
|
while( ++patch_row < KERNEL_HEIGHT );
|
#if INPUT_PAD_W != 0 || INPUT_PAD_H != 0 || DILATION_X != 1 || DILATION_Y != 1 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
|
curr_y0 = saved_y0;
|
curr_y1 = saved_y1;
|
#endif
|
src0_read0 += slice_pitch - ( KERNEL_HEIGHT * ROW_PITCH * DILATION_Y );
|
src0_read1 += slice_pitch - ( KERNEL_HEIGHT * ROW_PITCH * DILATION_Y );
|
}
|
while ( ++patch_depth < INPUT_DEPTH );
|
int out0_offset = global_z * out_pitch_z
|
+ ( group_x * TILE_N ) * out_pitch_y
|
+ ( ( global_y * TILE_M + 0 ) / output_width + OUT_PADDING_HEIGHT ) * OUT_PITCH_X
|
+ ( ( global_y * TILE_M + 0 ) % output_width ) + OUT_PADDING_LEFT;
|
int out1_offset = global_z * out_pitch_z
|
+ ( group_x * TILE_N ) * out_pitch_y
|
+ ( ( global_y * TILE_M + 1 ) / output_width + OUT_PADDING_HEIGHT ) * OUT_PITCH_X
|
+ ( ( global_y * TILE_M + 1 ) % output_width ) + OUT_PADDING_LEFT;
|
__global Dtype *out1 = dst + out1_offset;
|
#if APPLY_BIAS
|
Dtype bias[4];
|
Dtype4 *bias_vec;
|
bias_vec = (Dtype4*)bias;
|
*bias_vec = as_Dtype4(SUB_GROUP_BLOCK_READ4((__global INT_TYPE *)biases_base + group_x * TILE_N));
|
if (group_x > 0xFFFFFFFEul) {
|
dst[0] = bias[0] + bias[1] + bias[2] + bias[3];
|
}
|
#else
|
const Dtype bias[4] = {0, 0, 0, 0};
|
#endif
|
if( global_y * TILE_M < output_width * output_height )
|
{
|
for( int i = 0; i < 8; i++ )
|
{
|
if ( TILE_N_LAST_DIV8 > 0 )
|
{
|
ACTIVATION_FUNCTION(dst, out0_offset + ( 0+i) * out_pitch_y, blockC0[0][i] + SUBGROUP_GET_BIAS(0, i), group_x * TILE_N + i);
|
}
|
if ( TILE_N_LAST_DIV8 > 1 )
|
{
|
ACTIVATION_FUNCTION(dst, out0_offset + ( 8+i) * out_pitch_y, blockC0[1][i] + SUBGROUP_GET_BIAS(1, i), group_x * TILE_N + i + 8);
|
}
|
if ( TILE_N_LAST_DIV8 > 2 )
|
{
|
ACTIVATION_FUNCTION(dst, out0_offset + (16+i) * out_pitch_y, blockC0[2][i] + SUBGROUP_GET_BIAS(2, i), group_x * TILE_N + i + 16);
|
}
|
if ( TILE_N_LAST_DIV8 > 3 )
|
{
|
ACTIVATION_FUNCTION(dst, out0_offset + (24+i) * out_pitch_y, blockC0[3][i] + SUBGROUP_GET_BIAS(3, i), group_x * TILE_N + i + 24);
|
}
|
}
|
}
|
if( global_y * TILE_M + 1 < output_width * output_height )
|
{
|
for( int i = 0; i < 8; i++ )
|
{
|
if ( TILE_N_LAST_DIV8 > 0 )
|
{
|
ACTIVATION_FUNCTION(dst, out1_offset + ( 0+i) * out_pitch_y, blockC1[0][i] + SUBGROUP_GET_BIAS(0, i), group_x * TILE_N + i);
|
}
|
if ( TILE_N_LAST_DIV8 > 1 )
|
{
|
ACTIVATION_FUNCTION(dst, out1_offset + ( 8+i) * out_pitch_y, blockC1[1][i] + SUBGROUP_GET_BIAS(1, i), group_x * TILE_N + i + 8);
|
}
|
if ( TILE_N_LAST_DIV8 > 2 )
|
{
|
ACTIVATION_FUNCTION(dst, out1_offset + (16+i) * out_pitch_y, blockC1[2][i] + SUBGROUP_GET_BIAS(2, i), group_x * TILE_N + i + 16);
|
}
|
if ( TILE_N_LAST_DIV8 > 3 )
|
{
|
ACTIVATION_FUNCTION(dst, out1_offset + (24+i) * out_pitch_y, blockC1[3][i] + SUBGROUP_GET_BIAS(3, i), group_x * TILE_N + i + 24);
|
}
|
}
|
}
|
}
|
#endif
|
}
|
#endif
|
#if defined(GEMM_LIKE_CONV_32_2_SIMD16) || defined(GEMM_LIKE_CONV_32_1_SIMD16)
|
#define INTERLEAVED_SIMD16_OUTPUT(_out_, _offset_, _m_) do {\
|
if (global_y * TILE_M < output_width * output_height ) \
|
{ \
|
if ( ( OUT_DEPTH % TILE_N ) == 0 ) {\
|
for (int i = 0; i < 16; i++) \
|
{ \
|
ACTIVATION_FUNCTION(_out_, _offset_ + ( 0+i) * out_pitch_y, blockC0 ##_m_ [i] + SUBGROUP_GET_BIAS(0, i), group_x * TILE_N + i); \
|
ACTIVATION_FUNCTION(_out_, _offset_ + (16+i) * out_pitch_y, blockC1 ##_m_ [i] + SUBGROUP_GET_BIAS(1, i), group_x * TILE_N + i + 16); \
|
} \
|
} \
|
else if( ( OUT_DEPTH % 16 ) == 0 ) { \
|
if ( ( global_x + 1 ) < get_global_size(0) ) { \
|
for ( int i = 0; i < 16; i++ ) \
|
{ \
|
ACTIVATION_FUNCTION(_out_, _offset_ + ( 0+i) * out_pitch_y, blockC0 ##_m_ [i] + SUBGROUP_GET_BIAS(0, i), group_x * TILE_N + i); \
|
ACTIVATION_FUNCTION(_out_, _offset_ + (16+i) * out_pitch_y, blockC1 ##_m_ [i] + SUBGROUP_GET_BIAS(1, i), group_x * TILE_N + i + 16); \
|
} \
|
} \
|
else { \
|
for (int i = 0; i < 16; i++) \
|
{ \
|
ACTIVATION_FUNCTION(_out_, _offset_ + ( 0+i) * out_pitch_y, blockC0 ##_m_ [i] + SUBGROUP_GET_BIAS(0, i), group_x * TILE_N + i); \
|
} \
|
} \
|
} \
|
else { \
|
if ( ( global_x + 1 ) < get_global_size(0) ) \
|
{ \
|
for ( int i = 0; i < 16; i++ ) \
|
{ \
|
ACTIVATION_FUNCTION(_out_, _offset_ + ( 0+i) * out_pitch_y, blockC0 ##_m_[i] + SUBGROUP_GET_BIAS(0, i), group_x * TILE_N + i); \
|
ACTIVATION_FUNCTION(_out_, _offset_ + (16+i) * out_pitch_y, blockC1 ##_m_[i] + SUBGROUP_GET_BIAS(1, i), group_x * TILE_N + i + 16); \
|
} \
|
} \
|
else { \
|
if ( (OUT_DEPTH % TILE_N) > 16 ) { \
|
for (int i = 0; i < 16 ; i++) \
|
{ \
|
ACTIVATION_FUNCTION(_out_, _offset_ + ( 0+i) * out_pitch_y, blockC0 ##_m_[i] + SUBGROUP_GET_BIAS(0, i), group_x * TILE_N + i); \
|
} \
|
for (int i = 0; i < OUT_DEPTH % 16 ; i++) \
|
{ \
|
ACTIVATION_FUNCTION(_out_, _offset_ + (16+i) * out_pitch_y, blockC1 ##_m_[i] + SUBGROUP_GET_BIAS(1, i), group_x * TILE_N + i + 16); \
|
} \
|
} \
|
else { \
|
for (int i = 0; i < OUT_DEPTH % 16 ; i++) \
|
{ \
|
ACTIVATION_FUNCTION(_out_, _offset_ + ( 0+i) * out_pitch_y, blockC0 ##_m_[i] + SUBGROUP_GET_BIAS(0, i), group_x * TILE_N + i); \
|
} \
|
} \
|
} \
|
} \
|
} \
|
}while(0)
|
#endif
|
#ifdef GEMM_LIKE_CONV_32_1_SIMD16
|
#define TILE_M 1
|
#define TILE_K KERNEL_WIDTH
|
#define TILE_N 32
|
__attribute__((intel_reqd_sub_group_size(16)))
|
__kernel void Conv_Interleaved(GEMM_LIKE_KERNEL_ARGS)
|
{
|
__global Dtype *dst = dst_base + dst_offset;
|
const int group_x = get_group_id(0);
|
const int group_y = get_group_id(1);
|
const int global_x = get_global_id(0);
|
const int global_y = get_global_id(1);
|
const int global_z = get_global_id(2);
|
int interleaved_y;
|
int kernel_y;
|
int kernel_idx;
|
Dtype16 blockC00 = 0.f;
|
Dtype16 blockC10 = 0.f;
|
int curr_x = ( global_y % output_width ) * STRIDE_X;
|
int curr_y = ( global_y / output_width ) * STRIDE_Y;
|
#if INPUT_PAD_H != 0 || INPUT_PAD_W != 0 || DILATION_X != 1 || DILATION_Y != 1 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
|
int saved_y = curr_y;
|
#endif
|
const __global Dtype *src0_read = src0
|
+ aligned_input_size * global_z
|
+ (curr_y - INPUT_PAD_H) * ROW_PITCH
|
+ curr_x - INPUT_PAD_W;
|
const __global Dtype *src0_read_orig = src0_read;
|
const __global Dtype *src1_read = src1 + ( global_x * TILE_N * 2 );
|
#define DOT_PRODUCT_16( _result, _rowA, colB ) \
|
{ \
|
_result.s0 = mad( _rowA, sub_group_broadcast( colB, 0 ), _result.s0 ); \
|
_result.s1 = mad( _rowA, sub_group_broadcast( colB, 1 ), _result.s1 ); \
|
_result.s2 = mad( _rowA, sub_group_broadcast( colB, 2 ), _result.s2 ); \
|
_result.s3 = mad( _rowA, sub_group_broadcast( colB, 3 ), _result.s3 ); \
|
_result.s4 = mad( _rowA, sub_group_broadcast( colB, 4 ), _result.s4 ); \
|
_result.s5 = mad( _rowA, sub_group_broadcast( colB, 5 ), _result.s5 ); \
|
_result.s6 = mad( _rowA, sub_group_broadcast( colB, 6 ), _result.s6 ); \
|
_result.s7 = mad( _rowA, sub_group_broadcast( colB, 7 ), _result.s7 ); \
|
_result.s8 = mad( _rowA, sub_group_broadcast( colB, 8 ), _result.s8 ); \
|
_result.s9 = mad( _rowA, sub_group_broadcast( colB, 9 ), _result.s9 ); \
|
_result.sa = mad( _rowA, sub_group_broadcast( colB, 10 ), _result.sa ); \
|
_result.sb = mad( _rowA, sub_group_broadcast( colB, 11 ), _result.sb ); \
|
_result.sc = mad( _rowA, sub_group_broadcast( colB, 12 ), _result.sc ); \
|
_result.sd = mad( _rowA, sub_group_broadcast( colB, 13 ), _result.sd ); \
|
_result.se = mad( _rowA, sub_group_broadcast( colB, 14 ), _result.se ); \
|
_result.sf = mad( _rowA, sub_group_broadcast( colB, 15 ), _result.sf ); \
|
}
|
typedef CAT( Dtype, KERNEL_WIDTH ) Dtype_t;
|
int patch_depth = 0;
|
__attribute__((opencl_unroll_hint(1)))
|
do
|
{
|
int patch_row = 0;
|
#if INPUT_PAD_H != 0 || INPUT_PAD_W != 0 || DILATION_X != 1 || DILATION_Y != 1 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
|
curr_y = saved_y;
|
#endif
|
__attribute__((opencl_unroll_hint(1)))
|
do
|
{
|
const bool kernel_width_is_odd = KERNEL_WIDTH % 2 == 1;
|
#if INPUT_PAD_W == 0 && INPUT_PAD_H == 0 && DILATION_X == 1 && DILATION_Y == 1 && INPUT_PAD_BOTTOM == 0 && INPUT_PAD_RIGHT == 0
|
#if KERNEL_WIDTH == 3
|
Dtype_t blockA00 = vload3(0, src0_read);
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
#else
|
Dtype_t blockA00 = ( (const __global Dtype_t*)src0_read )[ 0 ];
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
#endif
|
#else
|
Dtype_t blockA00;
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
int pos = 0;
|
LOOP(KERNEL_WIDTH, pos,
|
{
|
if (curr_y >= INPUT_PAD_H &&
|
curr_y < input_height + INPUT_PAD_H &&
|
curr_x + pos * DILATION_X >= INPUT_PAD_W &&
|
curr_x + pos * DILATION_X < input_width + INPUT_PAD_W)
|
pblockA00[pos] = src0_read[pos * DILATION_X];
|
else
|
pblockA00[pos] = 0;
|
})
|
curr_y += DILATION_Y;
|
#endif
|
src0_read += ROW_PITCH * DILATION_Y;
|
INT_TYPE blockB00[KERNEL_WIDTH * 2];
|
INT_TYPE4* p4BlockB00 = (INT_TYPE4*)blockB00;
|
INT_TYPE2* p2BlockB00 = (INT_TYPE2*)blockB00;
|
Dtype* pBlockB00 = (Dtype*)blockB00;
|
interleaved_y = 0;
|
LOOP(KERNEL_WIDTH_DIV2, interleaved_y,
|
{
|
p4BlockB00[interleaved_y] = SUB_GROUP_BLOCK_READ4( (const __global INT_TYPE*)src1_read );
|
src1_read += WIDTH1 * 2;
|
} )
|
if ( kernel_width_is_odd )
|
{
|
p2BlockB00[KERNEL_WIDTH - 1] = SUB_GROUP_BLOCK_READ2( (const __global INT_TYPE*)src1_read );
|
src1_read += WIDTH1 * 2;
|
}
|
kernel_idx = 0;
|
interleaved_y = 0;
|
LOOP(KERNEL_WIDTH_DIV2, interleaved_y,
|
{
|
kernel_y = interleaved_y * 2;
|
DOT_PRODUCT_16( blockC00, pblockA00[kernel_y ], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_16( blockC00, pblockA00[kernel_y + 1], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_16( blockC10, pblockA00[kernel_y ], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_16( blockC10, pblockA00[kernel_y + 1], pBlockB00[kernel_idx] ); kernel_idx++;
|
} )
|
if ( kernel_width_is_odd )
|
{
|
kernel_y = interleaved_y * 2;
|
DOT_PRODUCT_16( blockC00, pblockA00[kernel_y], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_16( blockC10, pblockA00[kernel_y], pBlockB00[kernel_idx] ); kernel_idx++;
|
}
|
}
|
while( ++patch_row < KERNEL_HEIGHT );
|
src0_read += slice_pitch - ( KERNEL_HEIGHT * ROW_PITCH * DILATION_Y );
|
}
|
while ( ++patch_depth < INPUT_DEPTH );
|
int out_offset = global_z * out_pitch_z
|
+ ( group_x * TILE_N ) * out_pitch_y
|
+ ( ( global_y * TILE_M ) / output_width + OUT_PADDING_HEIGHT) * OUT_PITCH_X
|
+ ( ( global_y * TILE_M ) % output_width ) + OUT_PADDING_LEFT;
|
__global Dtype *out = dst + out_offset;
|
#if APPLY_BIAS
|
Dtype bias[2];
|
Dtype2 *bias_vec;
|
bias_vec = (Dtype2*)bias;
|
*bias_vec = as_Dtype2(SUB_GROUP_BLOCK_READ2((__global INT_TYPE *)biases_base + group_x * TILE_N));
|
if (group_x > 0xFFFFFFFEul) {
|
dst[0] = bias[0] + bias[1];
|
}
|
#else
|
const Dtype bias[2] = {0, 0};
|
#endif
|
INTERLEAVED_SIMD16_OUTPUT(dst, out_offset, 0);
|
}
|
#endif
|
#ifdef GEMM_LIKE_CONV_32_2_SIMD16
|
#define TILE_M 2
|
#define TILE_K KERNEL_WIDTH
|
#define TILE_N 32
|
__attribute__((intel_reqd_sub_group_size(16)))
|
__kernel void Conv_Interleaved(GEMM_LIKE_KERNEL_ARGS)
|
{
|
__global Dtype *dst = dst_base + dst_offset;
|
const int group_x = get_group_id(0);
|
const int group_y = get_group_id(1);
|
const int global_x = get_global_id(0);
|
const int global_y = get_global_id(1);
|
const int global_z = get_global_id(2);
|
int interleaved_y;
|
int kernel_y;
|
int kernel_idx;
|
#define DOT_PRODUCT_16( _result, _rowA, colB ) \
|
{ \
|
_result.s0 = mad( _rowA, sub_group_broadcast( colB, 0 ), _result.s0 ); \
|
_result.s1 = mad( _rowA, sub_group_broadcast( colB, 1 ), _result.s1 ); \
|
_result.s2 = mad( _rowA, sub_group_broadcast( colB, 2 ), _result.s2 ); \
|
_result.s3 = mad( _rowA, sub_group_broadcast( colB, 3 ), _result.s3 ); \
|
_result.s4 = mad( _rowA, sub_group_broadcast( colB, 4 ), _result.s4 ); \
|
_result.s5 = mad( _rowA, sub_group_broadcast( colB, 5 ), _result.s5 ); \
|
_result.s6 = mad( _rowA, sub_group_broadcast( colB, 6 ), _result.s6 ); \
|
_result.s7 = mad( _rowA, sub_group_broadcast( colB, 7 ), _result.s7 ); \
|
_result.s8 = mad( _rowA, sub_group_broadcast( colB, 8 ), _result.s8 ); \
|
_result.s9 = mad( _rowA, sub_group_broadcast( colB, 9 ), _result.s9 ); \
|
_result.sa = mad( _rowA, sub_group_broadcast( colB, 10 ), _result.sa ); \
|
_result.sb = mad( _rowA, sub_group_broadcast( colB, 11 ), _result.sb ); \
|
_result.sc = mad( _rowA, sub_group_broadcast( colB, 12 ), _result.sc ); \
|
_result.sd = mad( _rowA, sub_group_broadcast( colB, 13 ), _result.sd ); \
|
_result.se = mad( _rowA, sub_group_broadcast( colB, 14 ), _result.se ); \
|
_result.sf = mad( _rowA, sub_group_broadcast( colB, 15 ), _result.sf ); \
|
}
|
typedef CAT( Dtype, KERNEL_WIDTH ) Dtype_t;
|
{
|
Dtype16 blockC00 = 0.f;
|
Dtype16 blockC10 = 0.f;
|
Dtype16 blockC01 = 0.f;
|
Dtype16 blockC11 = 0.f;
|
int curr_x0 = ( ( global_y * TILE_M + 0 ) % output_width ) * STRIDE_X;
|
int curr_x1 = ( ( global_y * TILE_M + 1 ) % output_width ) * STRIDE_X;
|
int curr_y0 = ( ( global_y * TILE_M + 0 ) / output_width ) * STRIDE_Y;
|
int curr_y1 = ( ( global_y * TILE_M + 1 ) / output_width ) * STRIDE_Y;
|
#if INPUT_PAD_H != 0 || INPUT_PAD_W != 0 || DILATION_X != 1 || DILATION_Y != 1 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
|
int saved_y0 = curr_y0;
|
int saved_y1 = curr_y1;
|
#endif
|
const __global Dtype *src0_read0 = src0
|
+ aligned_input_size * global_z
|
+ (curr_y0 - INPUT_PAD_H) * ROW_PITCH
|
+ curr_x0 - INPUT_PAD_W;
|
const __global Dtype *src0_read1 = src0
|
+ aligned_input_size * global_z
|
+ (curr_y1 - INPUT_PAD_H) * ROW_PITCH
|
+ curr_x1 - INPUT_PAD_W;
|
const __global Dtype *src1_read = src1 + ( global_x * TILE_N * 2);
|
int patch_depth = 0;
|
do
|
{
|
int patch_row = 0;
|
do
|
{
|
const bool kernel_width_is_odd = KERNEL_WIDTH % 2 == 1;
|
#if INPUT_PAD_H == 0 && INPUT_PAD_W == 0 && DILATION_X == 1 && DILATION_Y == 1 && INPUT_PAD_BOTTOM == 0 && INPUT_PAD_RIGHT == 0
|
Dtype_t blockA00 = ( (const __global Dtype_t*)src0_read0 )[ 0 ]; src0_read0 += ROW_PITCH;
|
Dtype_t blockA01 = ( (const __global Dtype_t*)src0_read1 )[ 0 ]; src0_read1 += ROW_PITCH;
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
Dtype* pblockA01 = (Dtype*)(&blockA01);
|
#else
|
Dtype_t blockA00;
|
Dtype* pblockA00 = (Dtype*)(&blockA00);
|
int pos = 0;
|
LOOP(KERNEL_WIDTH, pos,
|
{
|
if (curr_y0 >= INPUT_PAD_H &&
|
curr_y0 < input_height + INPUT_PAD_H &&
|
curr_x0 + pos * DILATION_X >= INPUT_PAD_W &&
|
curr_x0 + pos * DILATION_X < input_width + INPUT_PAD_W)
|
pblockA00[pos] = src0_read0[pos * DILATION_X];
|
else
|
pblockA00[pos] = 0;
|
})
|
curr_y0 += DILATION_Y;
|
Dtype_t blockA01;
|
Dtype* pblockA01 = (Dtype*)(&blockA01);
|
pos = 0;
|
LOOP(KERNEL_WIDTH, pos,
|
{
|
if (curr_y1 >= INPUT_PAD_H &&
|
curr_y1 < input_height + INPUT_PAD_H &&
|
curr_x1 + pos * DILATION_X >= INPUT_PAD_W &&
|
curr_x1 + pos * DILATION_X < input_width + INPUT_PAD_W)
|
pblockA01[pos] = src0_read1[pos * DILATION_X];
|
else
|
pblockA01[pos] = 0;
|
})
|
curr_y1 += DILATION_Y;
|
src0_read0 += (ROW_PITCH * DILATION_Y);
|
src0_read1 += (ROW_PITCH * DILATION_Y);
|
#endif
|
Dtype blockB00[KERNEL_WIDTH*2];
|
Dtype4* p4BlockB00 = (Dtype4*)blockB00;
|
Dtype2* p2BlockB00 = (Dtype2*)blockB00;
|
Dtype* pBlockB00 = (Dtype* )blockB00;
|
interleaved_y = 0;
|
LOOP(KERNEL_WIDTH_DIV2, interleaved_y,
|
{
|
p4BlockB00[interleaved_y] = as_Dtype4( SUB_GROUP_BLOCK_READ4( (const __global INT_TYPE*)src1_read ) );
|
src1_read += WIDTH1 * 2;
|
} )
|
if ( kernel_width_is_odd )
|
{
|
p2BlockB00[KERNEL_WIDTH - 1] = as_Dtype2( SUB_GROUP_BLOCK_READ2( (const __global INT_TYPE*)src1_read ) );
|
src1_read += WIDTH1 * 2;
|
}
|
kernel_idx = 0;
|
interleaved_y = 0;
|
LOOP(KERNEL_WIDTH_DIV2, interleaved_y,
|
{
|
kernel_y = interleaved_y * 2;
|
DOT_PRODUCT_16( blockC00, pblockA00[kernel_y ], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_16( blockC01, pblockA01[kernel_y ], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_16( blockC00, pblockA00[kernel_y + 1], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_16( blockC01, pblockA01[kernel_y + 1], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_16( blockC10, pblockA00[kernel_y ], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_16( blockC11, pblockA01[kernel_y ], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_16( blockC10, pblockA00[kernel_y + 1], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_16( blockC11, pblockA01[kernel_y + 1], pBlockB00[kernel_idx] ); kernel_idx++;
|
} )
|
if ( kernel_width_is_odd )
|
{
|
kernel_y = interleaved_y * 2;
|
DOT_PRODUCT_16( blockC00, pblockA00[kernel_y], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_16( blockC01, pblockA01[kernel_y], pBlockB00[kernel_idx] ); kernel_idx++;
|
DOT_PRODUCT_16( blockC10, pblockA00[kernel_y], pBlockB00[kernel_idx] );
|
DOT_PRODUCT_16( blockC11, pblockA01[kernel_y], pBlockB00[kernel_idx] ); kernel_idx++;
|
}
|
}
|
while( ++patch_row < KERNEL_HEIGHT );
|
#if INPUT_PAD_W != 0 || INPUT_PAD_H != 0 || DILATION_X != 1 || DILATION_Y != 1 || INPUT_PAD_BOTTOM != 0 || INPUT_PAD_RIGHT != 0
|
curr_y0 = saved_y0;
|
curr_y1 = saved_y1;
|
#endif
|
src0_read0 += slice_pitch - ( KERNEL_HEIGHT * ROW_PITCH * DILATION_Y);
|
src0_read1 += slice_pitch - ( KERNEL_HEIGHT * ROW_PITCH * DILATION_Y);
|
}
|
while ( ++patch_depth < INPUT_DEPTH );
|
int out0_offset = global_z * out_pitch_z
|
+ ( group_x * TILE_N ) * out_pitch_y
|
+ ( ( global_y * TILE_M + 0 ) / output_width + OUT_PADDING_HEIGHT ) * OUT_PITCH_X
|
+ ( ( global_y * TILE_M + 0 ) % output_width ) + OUT_PADDING_LEFT;
|
int out1_offset = global_z * out_pitch_z
|
+ ( group_x * TILE_N ) * out_pitch_y
|
+ ( ( global_y * TILE_M + 1 ) / output_width + OUT_PADDING_HEIGHT ) * OUT_PITCH_X
|
+ ( ( global_y * TILE_M + 1 ) % output_width ) + OUT_PADDING_LEFT;
|
#if APPLY_BIAS
|
Dtype bias[2];
|
Dtype2 *bias_vec;
|
bias_vec = (Dtype2*)bias;
|
*bias_vec = as_Dtype2(SUB_GROUP_BLOCK_READ2((__global INT_TYPE *)biases_base + group_x * TILE_N));
|
if (group_x > 0xFFFFFFFEul) {
|
dst[0] = bias[0] + bias[1];
|
}
|
#else
|
const Dtype bias[2] = {0, 0};
|
#endif
|
INTERLEAVED_SIMD16_OUTPUT(dst, out0_offset, 0);
|
INTERLEAVED_SIMD16_OUTPUT(dst, out1_offset, 1);
|
}
|
}
|
#endif
|
#elif defined KERNEL_DWCONV
|
__kernel void DWCONV(
|
ELTWISE_DATA_ARG
|
FUSED_ARG
|
__global Dtype* image_data,
|
__global Dtype* kernel_data,
|
BIAS_KERNEL_ARG
|
__global Dtype* convolved_image_base,
|
const int convolved_image_offset,
|
const ushort input_width,
|
const ushort input_height,
|
const ushort output_width,
|
const ushort output_height) {
|
__global Dtype* convolved_image = convolved_image_base + convolved_image_offset;
|
const int outputX = get_global_id(0);
|
const int outputY = get_global_id(1);
|
const int outputZ = get_global_id(2);
|
if(outputX < output_width && outputY < output_height)
|
{
|
Dtype sum = 0.;
|
const int org_y = outputY * STRIDE_Y - INPUT_PAD_H;
|
const int org_x = outputX * STRIDE_X - INPUT_PAD_W;
|
const int currentKernelOffset = KERNEL_SIZE*(outputZ%CHANNELS);
|
const int biasIndex=outputZ%CHANNELS;
|
const int local_image_offset = org_y*input_width + org_x;
|
const int imageSize = input_width*input_height;
|
__global Dtype* image_dataPtrFloat = (image_data + (imageSize*outputZ + local_image_offset));
|
__global Dtype* kernel_dataPtrFloat = (kernel_data + (currentKernelOffset));
|
for(int y = 0; y < KERNEL_H; y++)
|
{
|
for(int x = 0; x < KERNEL_W; x++)
|
{
|
if(!(org_y + y * DILATION_Y >= 0 && org_y + y * DILATION_Y < input_height && org_x + x * DILATION_X >= 0 && org_x + x * DILATION_X < input_width))
|
{
|
continue;
|
}
|
sum += image_dataPtrFloat[x * DILATION_X] * kernel_dataPtrFloat[x];
|
}
|
image_dataPtrFloat += input_width * DILATION_Y;
|
kernel_dataPtrFloat += KERNEL_W;
|
}
|
#if APPLY_BIAS
|
int offset = outputZ*output_height*output_width + outputY*output_width + outputX;
|
ACTIVATION_FUNCTION(convolved_image, offset, sum + biases_base[biasIndex], biasIndex);
|
#else
|
int offset = outputZ*output_height*output_width + outputY*output_width + outputX;
|
ACTIVATION_FUNCTION(convolved_image, offset, sum, biasIndex);
|
#endif
|
}
|
}
|
#endif
|
c39864180b35a590272f5ada2b9b3744 concat #if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
#define CONCAT(A,B) A##_##B
|
#define TEMPLATE(name,type) CONCAT(name,type)
|
__kernel void TEMPLATE(concat, Dtype)(const int nthreads,
|
__global const Dtype* in_data,
|
const int num_concats,
|
const int concat_size,
|
const int top_concat_axis,
|
const int bottom_concat_axis,
|
const int offset_concat_axis,
|
__global Dtype* out_data)
|
{
|
for (int index = get_global_id(0); index < nthreads; index += get_global_size(0))
|
{
|
const int total_concat_size = concat_size * bottom_concat_axis;
|
const int concat_num = index / total_concat_size;
|
const int concat_index = index % total_concat_size;
|
const int top_index = concat_index +
|
(concat_num * top_concat_axis + offset_concat_axis) * concat_size;
|
out_data[top_index] = in_data[index];
|
}
|
}
|
504946fb5e8e715dcede68425e93486a col2im __kernel void col2im(const int n, __global const T* data_col,
|
const int data_col_offset,
|
const int channels,
|
const int height, const int width,
|
const int height_col, const int width_col,
|
const int coeff_h, const int coeff_w,
|
__global const T* biasvec,
|
const int bias_offset,
|
__global T* data_im,
|
const int data_im_offset)
|
{
|
data_col = data_col + data_col_offset;
|
biasvec = biasvec + bias_offset;
|
data_im = data_im + data_im_offset;
|
int index = get_global_id(0);
|
if(index < n)
|
{
|
T val = 0.f;
|
int w = index % width + PAD_W;
|
int h = (index / width) % height + PAD_H;
|
int c = index / (width * height);
|
int h_col_start = (h < KERNEL_H) ? 0 : (h - KERNEL_H) / STRIDE_H + 1;
|
int h_col_end = min(h / STRIDE_H + 1, height_col);
|
int plane_size_col = height_col * width_col;
|
int offset = (c * KERNEL_H * KERNEL_W + h * KERNEL_W + w) * plane_size_col;
|
int w_col_start = (w < KERNEL_W) ? 0 : (w - KERNEL_W) / STRIDE_W + 1;
|
int w_col_end = min(w / STRIDE_W + 1, width_col);
|
for (int h_col = h_col_start; h_col < h_col_end; ++h_col)
|
for (int w_col = w_col_start; w_col < w_col_end; ++w_col)
|
val += data_col[offset + h_col * coeff_h + w_col * coeff_w];
|
data_im[index] = val + biasvec[c];
|
}
|
}
|
ce817c6699c25771483253b686f98562 batchnorm #if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
#if NUM == 8
|
#define load(src, index) vload8(0, src + index)
|
#define store(vec, dst, index) vstore8(vec, 0, dst + index)
|
#define float_type float8
|
#define convert_f convert_float8
|
#define BATCH_NORM batch_norm8
|
#elif NUM == 4
|
#define load(src, index) vload4(0, src + index)
|
#define store(vec, dst, index) vstore4(vec, 0, dst + index)
|
#define float_type float4
|
#define convert_f convert_float4
|
#define BATCH_NORM batch_norm4
|
#elif NUM == 1
|
#define load(src, index) src[index]
|
#define store(vec, dst, index) dst[index] = vec
|
#define float_type float
|
#define convert_f convert_float
|
#define BATCH_NORM batch_norm1
|
#endif
|
__kernel void BATCH_NORM(__global const Dtype* src,
|
const int rows,
|
const int cols,
|
const int channels,
|
__global const float* weight,
|
__global const float* bias,
|
__global Dtype* dst)
|
{
|
int x = get_global_id(0);
|
int y = get_global_id(1) * NUM;
|
int index = x * cols + y;
|
if (x >= rows || y >= cols)
|
return;
|
float w = weight[x % channels];
|
float b = bias[x % channels];
|
float_type src_vec = convert_f(load(src, index));
|
float_type dst_vec = src_vec * w + (float_type)b;
|
store(convert_T(dst_vec), dst, index);
|
}
|
c84913b518980a1dc7a4f1f41f7f95fc activations #define CONCAT(A,B) A##_##B
|
#define TEMPLATE(name,type) CONCAT(name,type)
|
#define KERNEL_ARG_DTYPE float
|
#if defined(cl_khr_fp16)
|
#pragma OPENCL EXTENSION cl_khr_fp16 : enable
|
#endif
|
__kernel void ReLUForward(const int count, __global const T* in, __global T* out
|
#ifndef RELU_NO_SLOPE
|
, KERNEL_ARG_DTYPE negative_slope
|
#endif
|
) {
|
int index = get_global_id(0);
|
if(index < count)
|
#ifndef RELU_NO_SLOPE
|
out[index] = in[index] > 0 ? in[index] : in[index] * negative_slope;
|
#else
|
out[index] = in[index] > 0 ? in[index] : 0;
|
#endif
|
}
|
__kernel void ReLU6Forward(const int count, __global const T* in, __global T* out,
|
const KERNEL_ARG_DTYPE minValue, const KERNEL_ARG_DTYPE maxValue)
|
{
|
int index = get_global_id(0);
|
if(index < count)
|
{
|
T x = in[index];
|
out[index] = clamp(x, convert_T(minValue), convert_T(maxValue));
|
}
|
}
|
__kernel void PReLUForward(const int count, const int channels, const int plane_size,
|
__global const T* in, __global T* out,
|
__global const KERNEL_ARG_DTYPE* slope_data)
|
{
|
int index = get_global_id(0);
|
int c = (index / plane_size) % channels;
|
if(index < count)
|
out[index] = in[index] > 0 ? in[index] : in[index] * slope_data[c];
|
}
|
__kernel void TanHForward(const int count, __global T* in, __global T* out) {
|
int index = get_global_id(0);
|
if(index < count)
|
out[index] = tanh(in[index]);
|
}
|
__kernel void SigmoidForward(const int count, __global const T* in, __global T* out) {
|
int index = get_global_id(0);
|
if(index < count)
|
out[index] = 1.0f / (1.0f + exp(-in[index]));
|
}
|
__kernel void BNLLForward(const int n, __global const T* in, __global T* out) {
|
int index = get_global_id(0);
|
if (index < n) {
|
out[index] = in[index] > 0 ? in[index] + log(1.0f + exp(-in[index])) : log(1.0f + exp(in[index]));
|
}
|
}
|
__kernel void AbsValForward(const int n, __global const T* in, __global T* out) {
|
int index = get_global_id(0);
|
if (index < n)
|
out[index] = fabs(in[index]);
|
}
|
__kernel void PowForward(const int n, __global const T* in, __global T* out,
|
const KERNEL_ARG_DTYPE power,
|
const KERNEL_ARG_DTYPE scale,
|
const KERNEL_ARG_DTYPE shift)
|
{
|
int index = get_global_id(0);
|
if (index < n)
|
out[index] = pow(shift + scale * in[index], power);
|
}
|
__kernel void ELUForward(const int n, __global const T* in, __global T* out)
|
{
|
int index = get_global_id(0);
|
if (index < n)
|
{
|
T src = in[index];
|
out[index] = (src >= 0.f) ? src : exp(src) - 1;
|
}
|
}
|
aae9434d712db041be7dbc1952fe129d GCC: (Linaro GCC 6.3-2017.05) 6.3.1 20170404 ñÿ
|
|
" " $ $ & & ( ( * * , , . . 0 0 2 2 4 4 6 6 8 7 , ( @ ( ` ( ~ ( ( ¿ ( ß ( ÿ . ( ' * ( K ( g $ ( ( § ( Ã ( â " ( ( ( ) ( I
|
( g 0 ( 4 ( ¼ 2 ( ç ( ( % ( G & ( opencl_kernels_dnn.cpp $d _ZN2cv3ocl3dnn19softmax_loss_oclsrcE _ZN2cv3ocl3dnn14softmax_oclsrcE _ZN2cv3ocl3dnn12slice_oclsrcE _ZN2cv3ocl3dnn13region_oclsrcE _ZN2cv3ocl3dnn16prior_box_oclsrcE _ZN2cv3ocl3dnn14pooling_oclsrcE _ZN2cv3ocl3dnn14permute_oclsrcE _ZN2cv3ocl3dnn22ocl4dnn_pooling_oclsrcE _ZN2cv3ocl3dnn18ocl4dnn_lrn_oclsrcE _ZN2cv3ocl3dnn10mvn_oclsrcE _ZN2cv3ocl3dnn17matvec_mul_oclsrcE _ZN2cv3ocl3dnn11math_oclsrcE _ZN2cv3ocl3dnn10lrn_oclsrcE _ZN2cv3ocl3dnn13im2col_oclsrcE _ZN2cv3ocl3dnn17gemm_image_oclsrcE _ZN2cv3ocl3dnn18gemm_buffer_oclsrcE _ZN2cv3ocl3dnn14eltwise_oclsrcE _ZN2cv3ocl3dnn12dummy_oclsrcE _ZN2cv3ocl3dnn23detection_output_oclsrcE _ZN2cv3ocl3dnn26conv_spatial_helper_oclsrcE _ZN2cv3ocl3dnn25conv_layer_spatial_oclsrcE _ZN2cv3ocl3dnn13concat_oclsrcE _ZN2cv3ocl3dnn13col2im_oclsrcE _ZN2cv3ocl3dnn16batchnorm_oclsrcE _ZN2cv3ocl3dnn18activations_oclsrcE 7 7 7 ¨ 7 7 7 pZ 7 xZ 7 hu 7 7 X 7 ` 7 x 7 7 Xâ 7 `â 7 â 7 7 7 7 Ð# 7 7 xÙ 7 Ù 7 Þ 7 7 (Ö 7 0Ö 7 PÙ 7 7 À 7 È 7 ° 7 7 ø# 7 $ 7 h* 7 7 Û 7 Û 7 0â 7 7 B 7 (B 7 xD 7 7 ø1 7 2 7 øA 7 7 ð 7 ø 7 ` 7 7 HÞ 7 XÞ 7 ã 7 7 * 7 * 7 Ð1 7 7 Ø 7 è 7 * 7 7 u 7 u 7 0 7 7 8ã 7 Hã 7 pì 7 7 (* 7 8* 7 pÛ 7 7 S 7 S 7 HZ 7 7 7 7 È 7 7 D 7 °D 7 àR 7 7 °â 7 Èâ 7 xñ 7 7 ¨õ 7 Àõ 7 Ö 7 7 ñ 7 ¸ñ 7 õ .symtab .strtab .shstrtab .text .data .bss .rela.data.rel.local._ZN2cv3ocl3dnn10lrn_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn10mvn_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn11math_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn12dummy_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn12slice_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn13col2im_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn13concat_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn13im2col_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn13region_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn14eltwise_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn14permute_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn14pooling_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn14softmax_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn16batchnorm_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn16prior_box_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn17gemm_image_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn17matvec_mul_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn18activations_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn18gemm_buffer_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn18ocl4dnn_lrn_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn19softmax_loss_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn22ocl4dnn_pooling_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn23detection_output_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn25conv_layer_spatial_oclsrcE .rela.data.rel.local._ZN2cv3ocl3dnn26conv_spatial_helper_oclsrcE .rodata.str1.8 .comment .note.GNU-stack @ ! @ ' @ 1 @ ( , @ 8ü ` : b h ( ] @ ü ` : ( @ øü ` : Å ¸ ( À @ Xý ` :
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