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authorGravatar Peter Hawkins <phawkins@google.com>2017-01-09 12:04:37 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-01-09 12:26:35 -0800
commit1e67c90e2caceeff82d09793d1ef5fa0300d219b (patch)
tree6567ea8b0fa01fcfcd608b7e4c636865d33c7032 /tensorflow/compiler/xla/protobuf_util.h
parent7ad7e4dfae4344d6b955b5eb61dc4b6bb792f1b3 (diff)
Initial open-source release of XLA: Accelerated Linear Algebra.
XLA is a compiler-based linear algebra execution engine that targets CPUs, GPUs and custom accelerators. XLA is still experimental; we are releasing it early to get the community involved. Change: 143990941
Diffstat (limited to 'tensorflow/compiler/xla/protobuf_util.h')
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diff --git a/tensorflow/compiler/xla/protobuf_util.h b/tensorflow/compiler/xla/protobuf_util.h
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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.
+==============================================================================*/
+
+#ifndef TENSORFLOW_COMPILER_XLA_PROTOBUF_UTIL_H_
+#define TENSORFLOW_COMPILER_XLA_PROTOBUF_UTIL_H_
+
+#include "tensorflow/core/platform/protobuf.h"
+
+namespace xla {
+namespace protobuf_util {
+
+// Returns true if m1 is equal to m2.
+//
+// WARNING: We use protocol buffer serialization and then check for
+// equality of the serialized representation, which may miss some
+// cases of equality. However, for the purposes of the XLA code
+// base, this form of equality checking is sufficient.
+extern bool ProtobufEquals(const tensorflow::protobuf::Message& m1,
+ const tensorflow::protobuf::Message& m2);
+} // namespace protobuf_util
+} // namespace xla
+
+#endif // TENSORFLOW_COMPILER_XLA_PROTOBUF_UTIL_H_