Updated the README files concerning testing. (#1344)

tensorflow_addons/activations/README.md

@@ -13,10 +13,10 @@ must:
 
 #### Testing Requirements
  * Simple unittests that demonstrate the layer is behaving as expected.
- * When applicable, run all unittests with TensorFlow's
-   `@run_in_graph_and_eager_modes` (for test method)
-   or `run_all_in_graph_and_eager_modes` (for TestCase subclass)
-   decorator.
+ * To run your `tf.functions` in eager mode and graph mode in the tests, 
+   you can use the `@pytest.mark.usefixtures("maybe_run_functions_eagerly")` 
+   decorator. This will run the tests twice, once normally, and once
+   with `tf.config.experimental_run_functions_eagerly(True)`. 
  * Add a `py_test` to this sub-package's BUILD file.
  * Add activation name to [activations_test.py](https://github.com/tensorflow/addons/tree/master/tensorflow_addons/activations/activations_test.py) to test serialization.
 

tensorflow_addons/callbacks/README.md

@@ -13,10 +13,10 @@ must:
 
 #### Testing Requirements
  * Simple unittests that demonstrate the callback is behaving as expected.
- * When applicable, run all unittests with TensorFlow's
-   `@run_in_graph_and_eager_modes` (for test method)
-   or `run_all_in_graph_and_eager_modes` (for TestCase subclass)
-   decorator.
+ * To run your `tf.functions` in eager mode and graph mode in the tests, 
+   you can use the `@pytest.mark.usefixtures("maybe_run_functions_eagerly")` 
+   decorator. This will run the tests twice, once normally, and once
+   with `tf.config.experimental_run_functions_eagerly(True)`.
  * Add a `py_test` to this sub-package's BUILD file.
 
 #### Documentation Requirements

tensorflow_addons/image/README.md

@@ -16,10 +16,10 @@ must:
 #### Testing Requirements
  * Simple unittests that demonstrate the image op is behaving as
     expected.
- * When applicable, run all unittests with TensorFlow's
-   `@run_in_graph_and_eager_modes` (for test method)
-   or `run_all_in_graph_and_eager_modes` (for TestCase subclass)
-   decorator.
+ * To run your `tf.functions` in eager mode and graph mode in the tests, 
+   you can use the `@pytest.mark.usefixtures("maybe_run_functions_eagerly")` 
+   decorator. This will run the tests twice, once normally, and once
+   with `tf.config.experimental_run_functions_eagerly(True)`.
  * Add a `py_test` to this sub-package's BUILD file.
 
 #### Documentation Requirements

tensorflow_addons/layers/README.md

@@ -13,10 +13,10 @@ must:
 
 #### Testing Requirements
  * Simple unittests that demonstrate the layer is behaving as expected.
- * When applicable, run all unittests with TensorFlow's
-   `@run_in_graph_and_eager_modes` (for test method)
-   or `run_all_in_graph_and_eager_modes` (for TestCase subclass)
-   decorator.
+ * To run your `tf.functions` in eager mode and graph mode in the tests, 
+   you can use the `@pytest.mark.usefixtures("maybe_run_functions_eagerly")` 
+   decorator. This will run the tests twice, once normally, and once
+   with `tf.config.experimental_run_functions_eagerly(True)`.
  * Run `layer_test` on the layer.
  * Add a `py_test` to this sub-package's BUILD file.
 

tensorflow_addons/losses/README.md

@@ -14,10 +14,10 @@ must:
 #### Testing Requirements
  * Simple unittests that demonstrate the loss is behaving as expected on
  some set of known inputs and outputs.
- * When applicable, run all tests with TensorFlow's
-   `@run_in_graph_and_eager_modes` (for test method)
-   or `run_all_in_graph_and_eager_modes` (for TestCase subclass)
-   decorator.
+ * To run your `tf.functions` in eager mode and graph mode in the tests, 
+   you can use the `@pytest.mark.usefixtures("maybe_run_functions_eagerly")` 
+   decorator. This will run the tests twice, once normally, and once
+   with `tf.config.experimental_run_functions_eagerly(True)`.
  * Add a `py_test` to this sub-package's BUILD file.
 
 #### Documentation Requirements

tensorflow_addons/metrics/README.md

@@ -13,10 +13,10 @@ must:
 
 #### Testing Requirements
  * Simple unittests that demonstrate the metric is behaving as expected.
- * When applicable, run all unittests with TensorFlow's
-   `@run_in_graph_and_eager_modes` (for test method)
-   or `run_all_in_graph_and_eager_modes` (for TestCase subclass)
-   decorator.
+ * To run your `tf.functions` in eager mode and graph mode in the tests, 
+   you can use the `@pytest.mark.usefixtures("maybe_run_functions_eagerly")` 
+   decorator. This will run the tests twice, once normally, and once
+   with `tf.config.experimental_run_functions_eagerly(True)`.
  * Add a `py_test` to this sub-package's BUILD file.
 
 #### Documentation Requirements

tensorflow_addons/optimizers/README.md

@@ -12,10 +12,10 @@ must:
  * Add the addon to the `py_library` in this sub-package's BUILD file.
 
 #### Testing Requirements
- * When applicable, run all tests with TensorFlow's
-   `@run_in_graph_and_eager_modes` (for test method)
-   or `run_all_in_graph_and_eager_modes` (for TestCase subclass)
-   decorator.
+ * To run your `tf.functions` in eager mode and graph mode in the tests, 
+   you can use the `@pytest.mark.usefixtures("maybe_run_functions_eagerly")` 
+   decorator. This will run the tests twice, once normally, and once
+   with `tf.config.experimental_run_functions_eagerly(True)`.
  * Add a `py_test` to this sub-package's BUILD file.
 
 #### Documentation Requirements

tensorflow_addons/rnn/README.md

@@ -18,10 +18,10 @@ In order to conform with the current API standard, all cells must:
  * Add the addon to the `py_library` in this sub-package's BUILD file.
 
 #### Testing Requirements
- * When applicable, run all tests with TensorFlow's
-   `@run_in_graph_and_eager_modes` (for test method)
-   or `@run_all_in_graph_and_eager_modes` (for TestCase subclass)
-   decorator.
+ * To run your `tf.functions` in eager mode and graph mode in the tests, 
+   you can use the `@pytest.mark.usefixtures("maybe_run_functions_eagerly")` 
+   decorator. This will run the tests twice, once normally, and once
+   with `tf.config.experimental_run_functions_eagerly(True)`.
  * Add a `py_test` to this sub-package's BUILD file.
 
 #### Documentation Requirements

tensorflow_addons/seq2seq/README.md

@@ -14,9 +14,10 @@ In order to conform with the current API standard, all objects must:
 #### Testing Requirements
  * Simple unittests that demonstrate the class is behaving as expected on
    some set of known inputs and outputs.
- * When applicable, run all tests with TensorFlow's
-   `@run_in_graph_and_eager_modes` (for test method)
-   or `run_all_in_graph_and_eager_modes` (for TestCase subclass) decorator.
+ * To run your `tf.functions` in eager mode and graph mode in the tests, 
+   you can use the `@pytest.mark.usefixtures("maybe_run_functions_eagerly")` 
+   decorator. This will run the tests twice, once normally, and once
+   with `tf.config.experimental_run_functions_eagerly(True)`.
  * Add a `py_test` to this sub-package's BUILD file.
 
 ## Sample code and Migration guide from TF 1.X

tensorflow_addons/text/README.md

@@ -15,10 +15,10 @@ must:
 #### Testing Requirements
  * Simple unittests that demonstrate the text op is behaving as
     expected.
- * When applicable, run all unittests with TensorFlow's
-   `@run_in_graph_and_eager_modes` (for test method)
-   or `run_all_in_graph_and_eager_modes` (for TestCase subclass)
-   decorator.
+ * To run your `tf.functions` in eager mode and graph mode in the tests, 
+   you can use the `@pytest.mark.usefixtures("maybe_run_functions_eagerly")` 
+   decorator. This will run the tests twice, once normally, and once
+   with `tf.config.experimental_run_functions_eagerly(True)`.
  * Add a `py_test` to this sub-package's BUILD file.
 
 #### Documentation Requirements