Merge pull request tensorflow#52264 from bhack:patch-17

PiperOrigin-RevId: 401516209
Change-Id: If9436b5304d1b6232b776dcf0ed2812168ac309d

CONTRIBUTING.md

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