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Support (non-full) uint8 quantized networks. Inputs and outputs are still required to be `float`. The (de)quantization is done internally by wasi-nn. Example generated from `quantized_model.py`:  Visualization with [netron](https://netron.app/).
42 lines
956 B
Bash
Executable File
42 lines
956 B
Bash
Executable File
#!/bin/sh
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# Copyright (C) 2019 Intel Corporation. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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CURR_PATH=$(cd $(dirname $0) && pwd -P)
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# WASM application that uses WASI-NN
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/opt/wasi-sdk/bin/clang \
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-Wl,--allow-undefined \
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-Wl,--strip-all,--no-entry \
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--sysroot=/opt/wasi-sdk/share/wasi-sysroot \
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-I../include -I../src/utils \
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-o test_tensorflow.wasm \
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test_tensorflow.c utils.c
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# TFLite models to use in the tests
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cd ${CURR_PATH}/models
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python3 average.py
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python3 max.py
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python3 mult_dimension.py
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python3 mult_outputs.py
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python3 sum.py
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# Specific tests for TPU
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cd ${CURR_PATH}
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/opt/wasi-sdk/bin/clang \
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-Wl,--allow-undefined \
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-Wl,--strip-all,--no-entry \
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--sysroot=/opt/wasi-sdk/share/wasi-sysroot \
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-I../include -I../src/utils \
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-o test_tensorflow_quantized.wasm \
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test_tensorflow_quantized.c utils.c
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cd ${CURR_PATH}/models
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python3 quantized.py
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cd ${CURR_PATH}
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