def test_soft_matching(self):
@def_function.function(
input_signature=[tensor_spec.TensorSpec([None], dtypes.int32)])
def func(x):
return 2 * x
root = tracking.Checkpointable()
root.f = func
self.assertAllEqual([2], root.f(constant_op.constant([1])).numpy())
self.assertAllEqual([2, 4], root.f(constant_op.constant([1, 2])).numpy())
self.assertEqual(
1, len(function_serialization.list_all_concrete_functions(root.f)))
imported = self.cycle(root)
with self.assertRaises(AssertionError):
# We cannot call the function with a constant of shape ().
self.assertEqual(7, imported.f(constant_op.constant(2)).numpy())
# TODO(vbardiovsky): When classes are revived with input_signatures, we
# should also check that the calls below are not generating any more
# concrete functions.
self.assertAllEqual([2, 4, 6, 8],
imported.f(constant_op.constant([1, 2, 3, 4])).numpy())
self.assertAllEqual([2, 4, 6],
imported.f(constant_op.constant([1, 2, 3])).numpy())
def __init__(self, root):
checkpointable_objects, node_ids, slot_variables = util.find_objects(
root)
self.nodes = checkpointable_objects
self.node_ids = node_ids
self.slot_variables = slot_variables
self.polymorphic_functions = util.ObjectIdentityDictionary()
# Also add polymorphic functions as nodes.
for obj in self.nodes:
self.polymorphic_functions[obj] = self._list_polymorphic_functions(
obj)
for function in self.polymorphic_functions[obj].values():
if function not in self.node_ids:
self.node_ids[function] = len(self.nodes)
self.nodes.append(function)
# Force listing the concrete functions for the side effects:
# - populate the cache for polymorphic functions that have an
# input_signature and have not been called.
# - force side effects of creation of concrete functions, e.g. create
# variables on first run.
function_serialization.list_all_concrete_functions(function)
def _fill_meta_graph_def(meta_graph_def, obj, signature_functions,
object_saver):
"""Generates a MetaGraph which calls `signature_functions`.
Args:
meta_graph_def: The MetaGraphDef proto to fill.
obj: The checkpointable object being exported.
signature_functions: A dictionary mapping signature keys to concrete
functions containing signatures to add to the MetaGraph.
object_saver: A CheckpointableSaver to add to the MetaGraph.
Returns:
An _AssetInfo, which contains information to help creating the SavedModel.
"""
signatures = {}
# List objects from the eager context to make sure Optimizers give us the
# right Graph-dependent variables.
accessible_objects = util.list_objects(obj)
resource_initializer_functions = _trace_resource_initializers(
accessible_objects)
exported_graph = ops.Graph()
resource_initializer_ops = []
with exported_graph.as_default():
object_map, resource_map, asset_info = _map_resources(
accessible_objects)
for resource_initializer_function in resource_initializer_functions:
asset_dependencies = []
for capture in resource_initializer_function.graph.external_captures:
asset_initializer = asset_info.asset_initializers_by_resource.get(
capture, None)
if asset_initializer is not None:
asset_dependencies.append(asset_initializer)
with ops.control_dependencies(asset_dependencies):
resource_initializer_ops.append(
_call_function_with_mapped_captures(
resource_initializer_function, [], resource_map))
with ops.control_dependencies(resource_initializer_ops):
init_op = control_flow_ops.no_op()
# Add the same op to the main_op collection and to the init_op
# signature. The collection is for compatibility with older loader APIs;
# only one will be executed.
meta_graph_def.collection_def[
constants.MAIN_OP_KEY].node_list.value.append(init_op.name)
meta_graph_def.signature_def[constants.INIT_OP_SIGNATURE_KEY].CopyFrom(
signature_def_utils.op_signature_def(
init_op, constants.INIT_OP_SIGNATURE_KEY))
# Saving an object-based checkpoint again gathers variables. We need to do the
# gathering from the eager context so Optimizers save the right set of
# variables, but want any operations associated with the save/restore to be in
# the exported graph (thus the `to_graph` argument).
saver = object_saver.freeze(object_map=object_map, to_graph=exported_graph)
# We must resolve the concrete function to add to MetaGraph while in eager
# mode.
concrete_functions = []
for accessible_object in accessible_objects:
for function in function_serialization.list_all_polymorphic_functions(
accessible_object).values():
concrete_functions.extend(
function_serialization.list_all_concrete_functions(function))
with exported_graph.as_default():
signatures = _generate_signatures(signature_functions, resource_map)
for concrete_function in concrete_functions:
concrete_function.add_to_graph()
saver_def = saver.to_proto()
meta_graph_def.saver_def.CopyFrom(saver_def)
graph_def = exported_graph.as_graph_def(add_shapes=True)
# Clean reference cycles so repeated export()s don't make work for the garbage
# collector.
ops.dismantle_graph(exported_graph)
meta_graph_def.graph_def.CopyFrom(graph_def)
meta_graph_def.meta_info_def.tags.append(tag_constants.SERVING)
meta_graph_def.asset_file_def.extend(asset_info.asset_defs)
for signature_key, signature in signatures.items():
meta_graph_def.signature_def[signature_key].CopyFrom(signature)
meta_graph.strip_graph_default_valued_attrs(meta_graph_def)
return asset_info
