def _track_value(self, value, name):
"""Add a dependency on `value`."""
value = sticky_attribute_assignment(
checkpointable=self, value=value, name=name)
if isinstance(value, variables.Variable):
self._extra_variables.append(value)
if not isinstance(value, base.CheckpointableBase):
raise ValueError(
("Only checkpointable objects (such as Layers or Optimizers) may be "
"stored in a List object. Got %s, which does not inherit from "
"CheckpointableBase.") % (value,))
if (isinstance(value, CheckpointableDataStructure)
or layer_utils.is_layer(value)
or layer_utils.has_weights(value)):
# Check for object-identity rather than with __eq__ to avoid
# de-duplicating empty container types. Automatically generated list
# wrappers keep things like "[] == []" true, which means "[] in [[]]" is
# also true. This becomes not true once one of the lists is mutated.
if not any((layer is value for layer in self._layers)):
self._layers.append(value)
if hasattr(value, "_use_resource_variables"):
# In subclassed models, legacy layers (tf.layers) must always use
# resource variables.
value._use_resource_variables = True # pylint: disable=protected-access
return value
def _layers(self):
"""All Layers and Layer containers, including empty containers."""
# Filter objects on demand so that wrapper objects use values from the thing
# they're wrapping if out of sync.
collected = []
for obj in self._values:
if (isinstance(obj, CheckpointableDataStructure)
or layer_utils.is_layer(obj)
or layer_utils.has_weights(obj)):
collected.append(obj)
return collected
def _layers(self):
"""All Layers and Layer containers, including empty containers."""
# Filter objects on demand so that wrapper objects use values from the thing
# they're wrapping if out of sync.
collected = []
for obj in self._values:
if (isinstance(obj, CheckpointableDataStructure)
or layer_utils.is_layer(obj)
or layer_utils.has_weights(obj)):
collected.append(obj)
return collected
def _track_value(self, value, name):
"""Add a dependency on `value`."""
if isinstance(value, checkpointable_lib.CheckpointableBase):
self._track_checkpointable(value, name=name)
if isinstance(value, variables.Variable):
self._extra_variables.append(value)
else:
raise ValueError((
"Only checkpointable objects (such as Layers or Optimizers) may be "
"stored in a List object. Got %s, which does not inherit from "
"CheckpointableBase.") % (value, ))
if (isinstance(value, CheckpointableDataStructure)
or layer_utils.is_layer(value)):
if value not in self._layers:
self._layers.append(value)
if hasattr(value, "_use_resource_variables"):
# In subclassed models, legacy layers (tf.layers) must always use
# resource variables.
value._use_resource_variables = True # pylint: disable=protected-access
def _track_value(self, value, name):
"""Add a dependency on `value`."""
if isinstance(value, checkpointable_lib.CheckpointableBase):
self._track_checkpointable(value, name=name)
if isinstance(value, variables.Variable):
self._extra_variables.append(value)
else:
raise ValueError(
("Only checkpointable objects (such as Layers or Optimizers) may be "
"stored in a List object. Got %s, which does not inherit from "
"CheckpointableBase.") % (value,))
if (isinstance(value, CheckpointableDataStructure)
or layer_utils.is_layer(value)):
if value not in self._layers:
self._layers.append(value)
if hasattr(value, "_use_resource_variables"):
# In subclassed models, legacy layers (tf.layers) must always use
# resource variables.
value._use_resource_variables = True # pylint: disable=protected-access