Description

# tensorflowjs: The Python Package for TensorFlow.js The **tensorflowjs** pip package contains libraries and tools for [TensorFlow.js](https://js.tensorflow.org). Use following command to install the library with support of interactive CLI: ```bash pip install tensorflowjs[wizard] ``` Then, run the following to see a list of CLI options ```bash tensorflowjs_converter --help ``` or, use the wizard ```bash tensorflowjs_wizard ``` Alternatively, run the converter via its Bazel target. This must be run from withing the tfjs repo: ```bash yarn bazel run //tfjs-converter/python/tensorflowjs/converters:converter -- --help ``` ## Development The python tests are run with Bazel. ```bash yarn bazel test //tfjs-converter/python/... ``` Alternatively, run `yarn run-python-tests` to run the above command. To debug a specific test case, use the `--test_filter` option. For example, ```bash yarn bazel test //tfjs-converter/python/tensorflowjs/converters:tf_saved_model_conversion_v2_test --test_filter=ConvertTest.test_convert_saved_model_v1 ``` Interactive debugging with breakpoints is supported by `debugpy` in VSCode. To enable debugging, put this code at the top of the test file you want to debug. ```python import debugpy debugpy.listen(('localhost', 5724)) print("Waiting for debugger to connect. See tfjs-converter python README") debugpy.wait_for_client() ``` You may also need to add the following dependency to the test target in the Bazel `BUILD` file if it's not already present. ```starlark "//tfjs-converter/python/tensorflowjs:expect_debugpy_installed" ``` Then, run the test with `bazel run --config=debugpy` and connect the VSCode debugger by selecting the `Python: Attach (Converter)` option.