/*
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* Copyright (C) 2018 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "utils/tflite-model-executor.h"
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#include "utils/base/logging.h"
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#include "tensorflow/lite/kernels/register.h"
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// Forward declaration of custom TensorFlow Lite ops for registration.
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namespace tflite {
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namespace ops {
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namespace builtin {
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TfLiteRegistration* Register_ADD();
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TfLiteRegistration* Register_CONCATENATION();
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TfLiteRegistration* Register_CONV_2D();
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TfLiteRegistration* Register_FULLY_CONNECTED();
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TfLiteRegistration* Register_L2_NORMALIZATION();
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TfLiteRegistration* Register_MUL();
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TfLiteRegistration* Register_RESHAPE();
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TfLiteRegistration* Register_SOFTMAX();
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TfLiteRegistration* Register_GATHER();
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TfLiteRegistration* Register_TRANSPOSE();
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TfLiteRegistration* Register_SUB();
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TfLiteRegistration* Register_DIV();
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TfLiteRegistration* Register_STRIDED_SLICE();
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TfLiteRegistration* Register_EXP();
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TfLiteRegistration* Register_TOPK_V2();
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TfLiteRegistration* Register_SPLIT();
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TfLiteRegistration* Register_CAST();
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TfLiteRegistration* Register_MAXIMUM();
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TfLiteRegistration* Register_MINIMUM();
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TfLiteRegistration* Register_NEG();
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TfLiteRegistration* Register_SLICE();
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TfLiteRegistration* Register_LOG();
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TfLiteRegistration* Register_SUM();
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TfLiteRegistration* Register_PACK();
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TfLiteRegistration* Register_DEQUANTIZE();
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TfLiteRegistration* Register_MEAN();
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} // namespace builtin
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} // namespace ops
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} // namespace tflite
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#ifdef TC3_WITH_ACTIONS_OPS
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#include "utils/tflite/dist_diversification.h"
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#include "utils/tflite/text_encoder.h"
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#include "utils/tflite/token_encoder.h"
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void RegisterSelectedOps(tflite::MutableOpResolver* resolver) {
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resolver->AddBuiltin(tflite::BuiltinOperator_ADD,
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tflite::ops::builtin::Register_ADD(),
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/*min_version=*/1,
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/*max_version=*/2);
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resolver->AddBuiltin(tflite::BuiltinOperator_CONCATENATION,
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tflite::ops::builtin::Register_CONCATENATION(),
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/*min_version=*/1,
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/*max_version=*/2);
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resolver->AddBuiltin(tflite::BuiltinOperator_CONV_2D,
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tflite::ops::builtin::Register_CONV_2D(),
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/*min_version=*/1,
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/*max_version=*/3);
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resolver->AddBuiltin(tflite::BuiltinOperator_FULLY_CONNECTED,
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tflite::ops::builtin::Register_FULLY_CONNECTED(),
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/*min_version=*/1,
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/*max_version=*/4);
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resolver->AddBuiltin(tflite::BuiltinOperator_L2_NORMALIZATION,
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tflite::ops::builtin::Register_L2_NORMALIZATION(),
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/*min_version=*/1,
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/*max_version=*/2);
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resolver->AddBuiltin(tflite::BuiltinOperator_MUL,
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tflite::ops::builtin::Register_MUL());
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resolver->AddBuiltin(tflite::BuiltinOperator_RESHAPE,
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tflite::ops::builtin::Register_RESHAPE());
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resolver->AddBuiltin(tflite::BuiltinOperator_SOFTMAX,
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tflite::ops::builtin::Register_SOFTMAX(),
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/*min_version=*/1,
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/*max_version=*/2);
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resolver->AddBuiltin(tflite::BuiltinOperator_GATHER,
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tflite::ops::builtin::Register_GATHER(),
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/*min_version=*/1,
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/*max_version=*/2);
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resolver->AddBuiltin(tflite::BuiltinOperator_TRANSPOSE,
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tflite::ops::builtin::Register_TRANSPOSE(),
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/*min_version=*/1,
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/*max_version=*/2);
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resolver->AddBuiltin(tflite::BuiltinOperator_SUB,
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tflite::ops::builtin::Register_SUB(),
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/*min_version=*/1,
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/*max_version=*/2);
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resolver->AddBuiltin(tflite::BuiltinOperator_DIV,
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tflite::ops::builtin::Register_DIV());
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resolver->AddBuiltin(tflite::BuiltinOperator_STRIDED_SLICE,
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tflite::ops::builtin::Register_STRIDED_SLICE(),
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/*min_version=*/1,
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/*max_version=*/2);
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resolver->AddBuiltin(tflite::BuiltinOperator_EXP,
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tflite::ops::builtin::Register_EXP());
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resolver->AddBuiltin(tflite::BuiltinOperator_TOPK_V2,
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tflite::ops::builtin::Register_TOPK_V2(),
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/*min_version=*/1,
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/*max_version=*/2);
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resolver->AddBuiltin(tflite::BuiltinOperator_SPLIT,
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tflite::ops::builtin::Register_SPLIT(),
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/*min_version=*/1,
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/*max_version=*/3);
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resolver->AddBuiltin(tflite::BuiltinOperator_CAST,
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tflite::ops::builtin::Register_CAST());
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resolver->AddBuiltin(tflite::BuiltinOperator_MAXIMUM,
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tflite::ops::builtin::Register_MAXIMUM(),
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/*min_version=*/1,
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/*max_version=*/2);
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resolver->AddBuiltin(tflite::BuiltinOperator_MINIMUM,
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tflite::ops::builtin::Register_MINIMUM(),
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/*min_version=*/1,
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/*max_version=*/2);
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resolver->AddBuiltin(tflite::BuiltinOperator_NEG,
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tflite::ops::builtin::Register_NEG());
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resolver->AddBuiltin(tflite::BuiltinOperator_SLICE,
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tflite::ops::builtin::Register_SLICE(),
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/*min_version=*/1,
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/*max_version=*/2);
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resolver->AddBuiltin(tflite::BuiltinOperator_LOG,
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tflite::ops::builtin::Register_LOG());
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resolver->AddBuiltin(tflite::BuiltinOperator_SUM,
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tflite::ops::builtin::Register_SUM());
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resolver->AddBuiltin(tflite::BuiltinOperator_PACK,
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tflite::ops::builtin::Register_PACK(),
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/*min_version=*/1,
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/*max_version=*/2);
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resolver->AddBuiltin(tflite::BuiltinOperator_DEQUANTIZE,
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tflite::ops::builtin::Register_DEQUANTIZE(),
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/*min_version=*/1,
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/*max_version=*/2);
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resolver->AddBuiltin(tflite::BuiltinOperator_MEAN,
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tflite::ops::builtin::Register_MEAN());
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}
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#else
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void RegisterSelectedOps(tflite::MutableOpResolver* resolver) {
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resolver->AddBuiltin(tflite::BuiltinOperator_FULLY_CONNECTED,
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tflite::ops::builtin::Register_FULLY_CONNECTED());
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}
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#endif // TC3_WITH_ACTIONS_OPS
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namespace libtextclassifier3 {
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inline std::unique_ptr<tflite::OpResolver> BuildOpResolver() {
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#ifdef TC3_USE_SELECTIVE_REGISTRATION
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std::unique_ptr<tflite::MutableOpResolver> resolver(
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new tflite::MutableOpResolver);
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RegisterSelectedOps(resolver.get());
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#else
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std::unique_ptr<tflite::ops::builtin::BuiltinOpResolver> resolver(
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new tflite::ops::builtin::BuiltinOpResolver);
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#endif
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#ifdef TC3_WITH_ACTIONS_OPS
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resolver->AddCustom("DistanceDiversification",
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tflite::ops::custom::Register_DISTANCE_DIVERSIFICATION());
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resolver->AddCustom("TextEncoder",
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tflite::ops::custom::Register_TEXT_ENCODER());
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resolver->AddCustom("TokenEncoder",
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tflite::ops::custom::Register_TOKEN_ENCODER());
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#endif // TC3_WITH_ACTIONS_OPS
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return std::unique_ptr<tflite::OpResolver>(std::move(resolver));
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}
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std::unique_ptr<const tflite::FlatBufferModel> TfLiteModelFromModelSpec(
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const tflite::Model* model_spec) {
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std::unique_ptr<const tflite::FlatBufferModel> model(
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tflite::FlatBufferModel::BuildFromModel(model_spec));
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if (!model || !model->initialized()) {
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TC3_LOG(ERROR) << "Could not build TFLite model from a model spec.";
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return nullptr;
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}
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return model;
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}
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std::unique_ptr<const tflite::FlatBufferModel> TfLiteModelFromBuffer(
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const flatbuffers::Vector<uint8_t>* model_spec_buffer) {
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const tflite::Model* model =
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flatbuffers::GetRoot<tflite::Model>(model_spec_buffer->data());
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flatbuffers::Verifier verifier(model_spec_buffer->data(),
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model_spec_buffer->Length());
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if (!model->Verify(verifier)) {
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return nullptr;
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}
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return TfLiteModelFromModelSpec(model);
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}
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TfLiteModelExecutor::TfLiteModelExecutor(
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std::unique_ptr<const tflite::FlatBufferModel> model)
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: model_(std::move(model)), resolver_(BuildOpResolver()) {}
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std::unique_ptr<tflite::Interpreter> TfLiteModelExecutor::CreateInterpreter()
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const {
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std::unique_ptr<tflite::Interpreter> interpreter;
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tflite::InterpreterBuilder(*model_, *resolver_)(&interpreter);
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return interpreter;
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}
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template <>
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void TfLiteModelExecutor::SetInput(const int input_index,
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const std::vector<std::string>& input_data,
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tflite::Interpreter* interpreter) const {
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tflite::DynamicBuffer buf;
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for (const std::string& s : input_data) {
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buf.AddString(s.data(), s.length());
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}
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buf.WriteToTensorAsVector(
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interpreter->tensor(interpreter->inputs()[input_index]));
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}
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template <>
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std::vector<tflite::StringRef> TfLiteModelExecutor::Output(
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const int output_index, const tflite::Interpreter* interpreter) const {
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const TfLiteTensor* output_tensor =
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interpreter->tensor(interpreter->outputs()[output_index]);
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const int num_strings = tflite::GetStringCount(output_tensor);
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std::vector<tflite::StringRef> output(num_strings);
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for (int i = 0; i < num_strings; i++) {
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output[i] = tflite::GetString(output_tensor, i);
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}
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return output;
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}
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template <>
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std::vector<std::string> TfLiteModelExecutor::Output(
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const int output_index, const tflite::Interpreter* interpreter) const {
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std::vector<std::string> output;
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for (const tflite::StringRef& s :
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Output<tflite::StringRef>(output_index, interpreter)) {
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output.push_back(std::string(s.str, s.len));
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}
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return output;
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}
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} // namespace libtextclassifier3
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