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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_TRANSPOSE_FOLDING_H_
+#define TENSORFLOW_COMPILER_XLA_SERVICE_TRANSPOSE_FOLDING_H_
+
+#include "tensorflow/compiler/xla/service/hlo_module.h"
+#include "tensorflow/compiler/xla/service/hlo_pass.h"
+
+namespace xla {
+
+// HLO pass that folds transpose operators into Dot operators, where the Dot
+// operator is implemented by a GEMM kernel that can transpose its inputs.
+class TransposeFolding : public HloPass {
+ public:
+  // IsTransposableGemmFn should return true iff the instruction argument is
+  // implemented as a GEMM kernel that supports transposing its arguments.
+  typedef std::function<bool(const HloInstruction&)> IsTransposableGemmFn;
+  explicit TransposeFolding(IsTransposableGemmFn is_transposable_gemm);
+
+  StatusOr<bool> Run(HloModule* module) override;
+
+ private:
+  IsTransposableGemmFn is_transposable_gemm_;
+};
+
+}  // namespace xla
+
+#endif  // TENSORFLOW_COMPILER_XLA_SERVICE_TRANSPOSE_FOLDING_H_