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# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# 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.
# =============================================================================
"""Provides a proper python API for the symbols exported through swig."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.core.framework import graph_pb2
from tensorflow.python import pywrap_tensorflow as tf_opt
from tensorflow.python.framework import errors
from tensorflow.python.grappler import cluster as gcluster
def OptimizeGraph(rewriter_config,
metagraph,
verbose=True,
graph_id=b'graph_to_optimize',
cluster=None):
"""Optimize the provided metagraph."""
with errors.raise_exception_on_not_ok_status() as status:
if cluster is None:
cluster = gcluster.Cluster()
ret_from_swig = tf_opt.TF_OptimizeGraph(cluster.tf_cluster,
rewriter_config.SerializeToString(),
metagraph.SerializeToString(),
verbose, graph_id, status)
if ret_from_swig is None:
return None
out_graph = graph_pb2.GraphDef().FromString(ret_from_swig)
return out_graph
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