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diff --git a/tensorflow/compiler/xla/legacy_flags/cpu_runtime_flags.h b/tensorflow/compiler/xla/legacy_flags/cpu_runtime_flags.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_LEGACY_FLAGS_CPU_RUNTIME_FLAGS_H_
+#define TENSORFLOW_COMPILER_XLA_LEGACY_FLAGS_CPU_RUNTIME_FLAGS_H_
+
+// Legacy flags for the XLA's cpu_runtime module.
+
+#include <vector>
+
+#include "tensorflow/core/platform/types.h"
+#include "tensorflow/core/util/command_line_flags.h"
+
+namespace xla {
+namespace legacy_flags {
+
+// Append to *flag_list flag definitions associated with XLA's cpu_runtime
+// module.
+void AppendCpuRuntimeFlags(std::vector<tensorflow::Flag>* flag_list);
+
+// The values of flags associated with XLA's cpu_runtime module.
+typedef struct {
+  // Use Eigen for matrix multiply on the CPU platform. This is a useful hack
+  // for performance comparisons against XLA's implementation.
+  bool xla_cpu_use_eigen;
+  // When generating calls to Eigen for matmul and conv, should single or
+  // multi-threaded eigen be used?  Only used when --xla_cpu_use_eigen is true.
+  bool xla_cpu_multi_thread_eigen;
+} CpuRuntimeFlags;
+
+// Return a pointer to the CpuRuntimeFlags struct;
+// repeated calls return the same pointer.
+// This should be called only after Flags::Parse() has returned.
+CpuRuntimeFlags* GetCpuRuntimeFlags();
+
+}  // namespace legacy_flags
+}  // namespace xla
+
+#endif  // TENSORFLOW_COMPILER_XLA_LEGACY_FLAGS_CPU_RUNTIME_FLAGS_H_