Add support for autocast keyword argument in Layer.add_weight.

This feature was already supported with the `experimental_autocast` argument. This change simply adds an alias for the same argument to have the same API in Keras 2 and Keras 3.

PiperOrigin-RevId: 662965658

Author: hertschuh

Diff for: tf_keras/engine/base_layer.py

@@ -578,7 +578,8 @@ def add_weight(
             Accepted values are constants defined in the class
             `tf.VariableAggregation`.
           **kwargs: Additional keyword arguments. Accepted values are `getter`,
-            `collections`, `experimental_autocast` and `caching_device`.
+            `collections`, `autocast`, `experimental_autocast` and
+            `caching_device`.
 
         Returns:
           The variable created.
@@ -594,6 +595,7 @@ def add_weight(
         # Validate optional keyword arguments.
         for kwarg in kwargs:
             if kwarg not in [
+                "autocast",
                 "collections",
                 "experimental_autocast",
                 "caching_device",
@@ -603,9 +605,13 @@ def add_weight(
             ]:
                 raise TypeError("Unknown keyword argument:", kwarg)
         collections_arg = kwargs.pop("collections", None)
-        # 'experimental_autocast' can be set to False by the caller to indicate
-        # an AutoCastVariable should never be created.
-        autocast = kwargs.pop("experimental_autocast", True)
+        # 'autocast' or 'experimental_autocast' can be set to False by the
+        # caller to indicate an AutoCastVariable should never be created.
+        autocast = kwargs.pop("autocast", None)
+        if autocast is None:
+            autocast = kwargs.pop("experimental_autocast", None)
+            if autocast is None:
+                autocast = True
         # See the docstring for tf.Variable about the details for
         # caching_device.
         caching_device = kwargs.pop("caching_device", None)

Diff for: tf_keras/engine/base_layer_v1.py

@@ -352,7 +352,8 @@ def add_weight(
             Accepted values are constants defined in the class
             `tf.VariableAggregation`.
           **kwargs: Additional keyword arguments. Accepted values are `getter`,
-            `collections`, `experimental_autocast` and `caching_device`.
+            `collections`, `autocast`, `experimental_autocast` and
+            `caching_device`.
 
         Returns:
           The created variable. Usually either a `Variable` or
@@ -371,6 +372,7 @@ def add_weight(
         # Validate optional keyword arguments.
         for kwarg in kwargs:
             if kwarg not in [
+                "autocast",
                 "getter",
                 "collections",
                 "experimental_autocast",
@@ -380,9 +382,13 @@ def add_weight(
         has_custom_getter = "getter" in kwargs
         getter = kwargs.pop("getter", base_layer_utils.make_variable)
         collections_arg = kwargs.pop("collections", None)
-        # 'experimental_autocast' can be set to False by the caller to indicate
-        # an AutoCastVariable should never be created.
-        autocast = kwargs.pop("experimental_autocast", True)
+        # 'autocast' or 'experimental_autocast' can be set to False by the
+        # caller to indicate an AutoCastVariable should never be created.
+        autocast = kwargs.pop("autocast", None)
+        if autocast is None:
+            autocast = kwargs.pop("experimental_autocast", None)
+            if autocast is None:
+                autocast = True
         # See the docstring for tf.Variable about the details for
         # caching_device.
         caching_device = kwargs.pop("caching_device", None)

Diff for: tf_keras/mixed_precision/test_util.py

@@ -214,7 +214,7 @@ def build(self, _):
             (),
             initializer="ones",
             dtype=dtype,
-            experimental_autocast=False,
+            autocast=False,
             regularizer=self._regularizer,
         )
         self.built = True