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Merge pull request #52264 from bhack:patch-17
PiperOrigin-RevId: 401516209 Change-Id: If9436b5304d1b6232b776dcf0ed2812168ac309d
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@ -206,6 +206,23 @@ There are two ways to run TensorFlow unit tests.
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bazel test ${flags} tensorflow/python/kernel_tests:softmax_op_test
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```
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For a single/parametrized test e.g. `test_capture_variables` in
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`tensorflow/python/saved_model/load_test.py`:
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(Requires `python>=3.7`)
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```bash
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bazel test //tensorflow/python/saved_model:load_test --test_arg=-- --test_arg=-k=*LoadTest.test_capture_variables*
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```
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**Note:** You can add `--test_sharding_strategy=disabled` to disables the
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sharding so that all the test outputs are in one file. However, it may slow
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down the tests for not running in parallel and may cause the test to timeout
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but it could be useful when you need to execute a single test or more in
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general your filtered/selected tests have a very low execution time and the
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sharding
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[could create an overhead on the test esecution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).
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2. Using [Docker](https://www.docker.com) and TensorFlow's CI scripts.
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```bash
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