/
computation_serialization.py
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/
computation_serialization.py
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# Copyright 2018, The TensorFlow Federated Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Utilities for serializing and deserializing TFF computations."""
from tensorflow_federated.proto.v0 import computation_pb2 as pb
from tensorflow_federated.python.common_libs import py_typecheck
from tensorflow_federated.python.core.impl.computation import computation_base
from tensorflow_federated.python.core.impl.computation import computation_impl
from tensorflow_federated.python.core.impl.context_stack import context_stack_impl
def serialize_computation(
computation: computation_base.Computation,
) -> pb.Computation:
"""Serializes 'tff.Computation' as a pb.Computation.
Note: Currently only serialization for computation_impl.ConcreteComputation is
implemented.
Args:
computation: An instance of `tff.Computation`.
Returns:
The corresponding instance of `pb.Computation`.
Raises:
TypeError: If the argument is of the wrong type.
NotImplementedError: for computation variants for which serialization is not
implemented.
"""
py_typecheck.check_type(computation, computation_base.Computation)
if isinstance(computation, computation_impl.ConcreteComputation):
computation_proto = pb.Computation()
computation_proto.CopyFrom(
computation_impl.ConcreteComputation.get_proto(computation)
)
return computation_proto
else:
raise NotImplementedError(
'Serialization of type {} is not currentlyimplemented yet.'.format(
type(computation)
)
)
def deserialize_computation(
computation_proto: pb.Computation,
) -> computation_base.Computation:
"""Deserializes 'tff.Computation' as a pb.Computation.
Args:
computation_proto: An instance of `pb.Computation`.
Returns:
The corresponding instance of `tff.Computation`.
Raises:
TypeError: If the argument is of the wrong type.
"""
py_typecheck.check_type(computation_proto, pb.Computation)
return computation_impl.ConcreteComputation(
computation_proto, context_stack_impl.context_stack
)