44 lines
1.8 KiB
Python
44 lines
1.8 KiB
Python
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# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# =============================================================================
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"""Provides a proper python API for the symbols exported through swig."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from tensorflow.core.framework import graph_pb2
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from tensorflow.python import pywrap_tensorflow as tf_opt
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from tensorflow.python.framework import errors
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from tensorflow.python.grappler import cluster as gcluster
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def OptimizeGraph(rewriter_config,
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metagraph,
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verbose=True,
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graph_id=b'graph_to_optimize',
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cluster=None):
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"""Optimize the provided metagraph."""
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with errors.raise_exception_on_not_ok_status() as status:
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if cluster is None:
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cluster = gcluster.Cluster()
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ret_from_swig = tf_opt.TF_OptimizeGraph(cluster.tf_cluster,
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rewriter_config.SerializeToString(),
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metagraph.SerializeToString(),
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verbose, graph_id, status)
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if ret_from_swig is None:
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return None
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out_graph = graph_pb2.GraphDef().FromString(ret_from_swig)
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return out_graph
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