Copyright 2017 The Android Open Source Project
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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This directory contains files for the Android MLTS (Machine Learning
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Test Suite). MLTS allows to evaluate NNAPI acceleration latency and accuracy
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on an Android device, using few selected ML models and datesets.
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Models and datasets used description and licensing can be found in
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platform/test/mlts/models/README.txt file.
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Usage:
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* Connect a target device to your workstation, make sure it's
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reachable through adb. Export target device ANDROID_SERIAL
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environment variable if more than one device is connected.
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* cd into android top-level source directory
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> source build/envsetup.sh
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> lunch aosp_arm-userdebug # Or aosp_arm64-userdebug if available.
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> ./test/mlts/benchmark/build_and_run_benchmark.sh
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* At the end of a benchmark run, its results will be
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presented as html page, passed to xdg-open.
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Changelog:
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v0.1, 2018-10-15. Initial release with MobileNet(u8/f32)/TTS/ASR models.
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