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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_LEGACY_FLAGS_LAYOUT_UTIL_FLAGS_H_
+#define TENSORFLOW_COMPILER_XLA_LEGACY_FLAGS_LAYOUT_UTIL_FLAGS_H_
+
+// Legacy flags for the XLA's layout_util module.
+
+#include <vector>
+
+#include "tensorflow/core/platform/types.h"
+#include "tensorflow/core/util/command_line_flags.h"
+
+namespace xla {
+namespace legacy_flags {
+
+// The default layout for all newly created shapes. Specified by the flag
+// --xla_default_layout.
+struct DefaultLayout {
+ enum class DimensionOrder {
+ kRandom,
+ kMinorToMajor,
+ kMajorToMinor,
+ };
+
+ DimensionOrder dimension_order;
+ size_t seed;
+};
+
+// Append to *flag_list the flag definitions associated with XLA's layout_util
+// module.
+void AppendLayoutUtilFlags(std::vector<tensorflow::Flag>* flag_list);
+
+// The values of flags associated with XLA's layout_util module.
+typedef struct {
+ // Default layout for Shapes in XLA. Valid values are: 'minor2major',
+ // 'major2minor', 'random', 'random:<seed>'. For debugging purposes. If no
+ // seed (or 0) is given, a seed from random_device is used.
+ DefaultLayout xla_default_layout;
+} LayoutUtilFlags;
+
+// Return a pointer to the LayoutFlags struct;
+// repeated calls return the same pointer.
+// This should be called only after Flags::Parse() has returned.
+LayoutUtilFlags* GetLayoutUtilFlags();
+
+} // namespace legacy_flags
+} // namespace xla
+
+#endif // TENSORFLOW_COMPILER_XLA_LEGACY_FLAGS_LAYOUT_UTIL_FLAGS_H_