Merge pull request tensorflow#52546 from bhack:patch-19

PiperOrigin-RevId: 404902493
Change-Id: I19ac0d99c513cd90582d7d5322b3e3bd0370394d

CONTRIBUTING.md

@@ -185,6 +185,10 @@ There are two ways to run TensorFlow unit tests.
     Once you have the packages installed, you can run a specific unit test in
     bazel by doing as follows:
 
+    ```bash
+    export flags="--config=opt -k"
+    ```
+
     If the tests are to be run on GPU, add CUDA paths to LD_LIBRARY_PATH and add
     the `cuda` option flag
 
@@ -212,15 +216,15 @@ There are two ways to run TensorFlow unit tests.
     (Requires `python>=3.7`)
 
     ```bash
-    bazel test //tensorflow/python/saved_model:load_test --test_arg=-- --test_arg=-k=*LoadTest.test_capture_variables*
+    bazel test ${flags} //tensorflow/python/saved_model:load_test --test_filter=*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
+    **Note:** You can add `--test_sharding_strategy=disabled` to the `flags` to
+    disable 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.

tensorflow/workspace2.bzl

@@ -497,8 +497,8 @@ def _tf_repositories():
 
     tf_http_archive(
         name = "absl_py",
-        sha256 = "0d37dc61cf29b04e42ed13b5fe3f578c05a1d07c75e5d7df826f0c2dc8dd2f53",
-        strip_prefix = "abseil-py-pypi-v0.14.1",
+        sha256 = "0be59b82d65dfa1f995365dcfea2cc57989297b065fda696ef13f30fcc6c8e5b",
+        strip_prefix = "abseil-py-pypi-v0.15.0",
         system_build_file = "//third_party/systemlibs:absl_py.BUILD",
         system_link_files = {
             "//third_party/systemlibs:absl_py.absl.BUILD": "absl/BUILD",
@@ -507,8 +507,8 @@ def _tf_repositories():
             "//third_party/systemlibs:absl_py.absl.logging.BUILD": "absl/logging/BUILD",
         },
         urls = [
-            "https://storage.googleapis.com/mirror.tensorflow.org/github.com/abseil/abseil-py/archive/pypi-v0.14.1.tar.gz",
-            "https://github.com/abseil/abseil-py/archive/pypi-v0.14.1.tar.gz",
+            "https://storage.googleapis.com/mirror.tensorflow.org/github.com/abseil/abseil-py/archive/pypi-v0.15.0.tar.gz",
+            "https://github.com/abseil/abseil-py/archive/pypi-v0.15.0.tar.gz",
         ],
     )