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/* Copyright 2015 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.
==============================================================================*/
#ifndef TENSORFLOW_GRAPH_EQUAL_GRAPH_DEF_H_
#define TENSORFLOW_GRAPH_EQUAL_GRAPH_DEF_H_
#include "tensorflow/core/framework/graph_def_util.h"
#include "tensorflow/core/platform/protobuf.h"
#include "tensorflow/core/platform/types.h"
namespace tensorflow {
class GraphDef;
class NodeDef;
struct EqualGraphDefOptions {
// Should internal attributes (attribute names that start with '_') be
// ignored?
bool ignore_internal_attrs = true;
};
// Determines if actual and expected are equal, ignoring versions and ordering
// of nodes, attrs, and control inputs. If the GraphDefs are different and
// diff != nullptr, *diff is set to an explanation of the difference. Note that
// we use node names to match up nodes between the graphs, and so the naming of
// nodes must be consistent.
bool EqualGraphDef(const GraphDef& actual, const GraphDef& expected,
string* diff, const EqualGraphDefOptions& options = {});
// Returns a hash of `gdef` that is consistent with EqualGraphDef. In other
// words, if two graph defs compare equal according to EqualGraphDef,
// GraphDefHash will return the same value for both of them when called
// with the same `options` that was used in the call to EqualGraphDef.
// Similarly to protobuf deterministic serialization, hash value is
// guaranteed to be stable only for a given binary. In particular, one should
// probably not persist the returned value.
uint64 GraphDefHash(const GraphDef& gdef,
const EqualGraphDefOptions& options = {});
// Determines if actual and expected are equal, ignoring: ordering of
// attrs, internal attributes (if set in `options`), and control inputs.
//
// If the NodeDefs are different and
// diff != nullptr, *diff is set to an explanation of the difference.
bool EqualNodeDef(const NodeDef& actual, const NodeDef& expected, string* diff,
const EqualGraphDefOptions& options = {});
// Returns a hash of `ndef` that is consistent with EqualNodeDef. In other
// words, if two node defs compare equal according to EqualNodeDef, NodeDefHash
// will return the same value for both of them when called with the same
// `options` that was used in the call to EqualNodeDef.
// Similarly to protobuf deterministic serialization, hash value is
// guaranteed to be stable only for a given binary. In particular, one should
// probably not persist the returned value.
uint64 NodeDefHash(const NodeDef& ndef,
const EqualGraphDefOptions& options = {});
// Determines if actual and expected are equal, ignoring ordering. If they're
// different and diff != nullptr, *diff is set to an explanation of the
// difference.
bool EqualRepeatedNodeDef(const protobuf::RepeatedPtrField<NodeDef>& actual,
const protobuf::RepeatedPtrField<NodeDef>& expected,
string* diff,
const EqualGraphDefOptions& options = {});
// Returns a hash of `ndefs` that is consistent with EqualRepeatedNodeDef.
// In other words, if two ndefs compare equal according to
// EqualRepeatedNodeDef, RepeatedNodeDefHash will return the same value for
// both of them when called with the same `options` that was used in
// the call to EqualRepeatedNodeDef.
// Similarly to protobuf deterministic serialization, hash value is
// guaranteed to be stable only for a given binary. In particular, one should
// probably not persist the returned value.
uint64 RepeatedNodeDefHash(const protobuf::RepeatedPtrField<NodeDef>& ndefs,
const EqualGraphDefOptions& options = {});
#define TF_EXPECT_GRAPH_EQ(expected, actual) \
do { \
string diff; \
EXPECT_TRUE(EqualGraphDef(actual, expected, &diff)) \
<< diff << "\nExpected:\n" \
<< SummarizeGraphDef(expected) << "\nActual:\n" \
<< SummarizeGraphDef(actual); \
} while (false)
} // namespace tensorflow
#endif // TENSORFLOW_GRAPH_EQUAL_GRAPH_DEF_H_
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