63 lines
2.0 KiB
Markdown
63 lines
2.0 KiB
Markdown
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<!--ts-->
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* [Using Bazel](#using-bazel)
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* [Manual Setup Illustration](#manual-setup-illustration)
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<!-- Added by: advaitjain, at: Fri Oct 29 11:57:14 AM PDT 2021 -->
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<!--te-->
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Writing and using Python scripts from the TFLM repository is currently in the
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prototyping stage. As such, the instructions below are somewhat sparse and
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subject to change.
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* [TensorFlow Python style guide](https://www.tensorflow.org/community/contribute/code_style#python_style)
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# Using Bazel
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We use Bazel as our default build system for Python and the continuous
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integration infrastrucutre only runs the Python unit tests via Bazel.
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When using Bazel with Python, all the environment setup is handled as part of the
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build.
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Some example commands:
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```sh
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bazel test tensorflow/lite/tools:flatbuffer_utils_test
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bazel build tensorflow/lite/tools:visualize
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bazel-bin/tensorflow/lite/tools/visualize tensorflow/lite/micro/models/person_detect.tflite tensorflow/lite/micro/models/person_detect.tflite.html
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```
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# Manual Setup Illustration
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For advanced users that would like to use the Python code in the TFLM repository
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independent of bazel, here is one approach.
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Please note that this setup is unsupported and will need users to debug various
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issues on their own. It is described here for illustrative purposes only.
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```sh
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# The cloned tflite-micro folder needs to be renamed to tflite_micro
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mv tflite-micro tflite_micro
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# To set up a specific Python version, make sure `python` is pointed to the
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# desired version. For example, call `python3.11 -m venv tflite_micro/venv`.
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python -m venv tflite_micro/venv
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echo "export PYTHONPATH=\${PYTHONPATH}:${PWD}" >> tflite_micro/venv/bin/activate
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cd tflite_micro
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source venv/bin/activate
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pip install --upgrade pip
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pip install -r third_party/python_requirements.txt
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# (Optional)
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pip install ipython
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```
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Run some tests and binaries:
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```sh
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python tensorflow/lite/tools/flatbuffer_utils_test.py
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python tensorflow/lite/tools/visualize.py tensorflow/lite/micro/models/person_detect.tflite tensorflow/lite/micro/models/person_detect.tflite.html
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```
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