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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_SERVICE_GPU_LAYOUT_ASSIGNMENT_H_
+#define TENSORFLOW_COMPILER_XLA_SERVICE_GPU_LAYOUT_ASSIGNMENT_H_
+
+#include "tensorflow/compiler/xla/service/computation_layout.h"
+#include "tensorflow/compiler/xla/service/layout_assignment.h"
+#include "tensorflow/core/lib/core/status.h"
+
+namespace xla {
+namespace gpu {
+
+// GPU-specific layout assignment pass which preassigns layouts to satisfy
+// layout constraints for operands and results of library calls.
+class GpuLayoutAssignment : public LayoutAssignment {
+ public:
+ explicit GpuLayoutAssignment(ComputationLayout* entry_computation_layout)
+ : LayoutAssignment(entry_computation_layout) {}
+ ~GpuLayoutAssignment() override {}
+
+ protected:
+ Status AddBackendConstraints(LayoutConstraints* constraints) override;
+};
+
+} // namespace gpu
+} // namespace xla
+
+#endif // TENSORFLOW_COMPILER_XLA_SERVICE_GPU_LAYOUT_ASSIGNMENT_H_