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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_PAD_INSERTION_H_
+#define TENSORFLOW_COMPILER_XLA_SERVICE_GPU_PAD_INSERTION_H_
+
+#include "tensorflow/compiler/xla/service/hlo_pass.h"
+
+namespace xla {
+namespace gpu {
+
+// An HLO pass that canonicalizes convolution instructions for GPU codegen. It
+// inserts Pad instructions before Convolution instructions with uncanonicalized
+// padding, so that they can be lowered to cuDNN convolution.
+class PadInsertion : public HloPass {
+ public:
+  PadInsertion() : HloPass("pad insertion") {}
+
+  StatusOr<bool> Run(HloModule* module) override;
+
+ private:
+  // Returns if any changes are made to the parent computation.
+  bool CanonicalizeForwardConvolution(HloInstruction* conv);
+  bool CanonicalizeBackwardFilterConvolution(HloInstruction* backward_conv);
+  bool CanonicalizeBackwardInputConvolution(HloInstruction* backward_conv);
+};
+
+}  // namespace gpu
+}  // namespace xla
+
+#endif  // TENSORFLOW_COMPILER_XLA_SERVICE_GPU_PAD_INSERTION_H_