internal change.

PiperOrigin-RevId: 422665603

official/projects/movinet/modeling/movinet_model.py

@@ -88,14 +88,13 @@ class MovinetClassifier(tf.keras.Model):
     # Move backbone after super() call so Keras is happy
     self._backbone = backbone
 
-  def _build_network(
+  def _build_backbone(
       self,
       backbone: tf.keras.Model,
       input_specs: Mapping[str, tf.keras.layers.InputSpec],
       state_specs: Optional[Mapping[str, tf.keras.layers.InputSpec]] = None,
-  ) -> Tuple[Mapping[str, tf.keras.Input], Union[Tuple[Mapping[  # pytype: disable=invalid-annotation  # typed-keras
-      str, tf.Tensor], Mapping[str, tf.Tensor]], Mapping[str, tf.Tensor]]]:
-    """Builds the model network.
+  ) -> Tuple[Mapping[str, Any], Any, Any]:
+    """Builds the backbone network and gets states and endpoints.
 
     Args:
       backbone: the model backbone.
@@ -104,9 +103,9 @@ class MovinetClassifier(tf.keras.Model):
         layer, will overwrite the contents of the buffer(s).
 
     Returns:
-      Inputs and outputs as a tuple. Inputs are expected to be a dict with
-      base input and states. Outputs are expected to be a dict of endpoints
-      and (optionally) output states.
+      inputs: a dict of input specs.
+      endpoints: a dict of model endpoints.
+      states: a dict of model states.
     """
     state_specs = state_specs if state_specs is not None else {}
 
@@ -145,7 +144,30 @@ class MovinetClassifier(tf.keras.Model):
                 mismatched_shapes))
     else:
       endpoints, states = backbone(inputs)
+    return inputs, endpoints, states
 
+  def _build_network(
+      self,
+      backbone: tf.keras.Model,
+      input_specs: Mapping[str, tf.keras.layers.InputSpec],
+      state_specs: Optional[Mapping[str, tf.keras.layers.InputSpec]] = None,
+  ) -> Tuple[Mapping[str, tf.keras.Input], Union[Tuple[Mapping[  # pytype: disable=invalid-annotation  # typed-keras
+      str, tf.Tensor], Mapping[str, tf.Tensor]], Mapping[str, tf.Tensor]]]:
+    """Builds the model network.
+
+    Args:
+      backbone: the model backbone.
+      input_specs: the model input spec to use.
+      state_specs: a dict of states such that, if any of the keys match for a
+        layer, will overwrite the contents of the buffer(s).
+
+    Returns:
+      Inputs and outputs as a tuple. Inputs are expected to be a dict with
+      base input and states. Outputs are expected to be a dict of endpoints
+      and (optionally) output states.
+    """
+    inputs, endpoints, states = self._build_backbone(
+        backbone=backbone, input_specs=input_specs, state_specs=state_specs)
     x = endpoints['head']
 
     x = movinet_layers.ClassifierHead(

official/projects/movinet/train.py

@@ -46,7 +46,8 @@ from official.modeling import performance
 # Import movinet libraries to register the backbone and model into tf.vision
 # model garden factory.
 # pylint: disable=unused-import
-# the followings are the necessary imports.
+from official.projects.movinet.google.configs import movinet_google
+from official.projects.movinet.google.modeling import movinet_model_google
 from official.projects.movinet.modeling import movinet
 from official.projects.movinet.modeling import movinet_model
 # pylint: enable=unused-import