| /* 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_interface.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 HloModulePass { |
| public: |
| absl::string_view name() const override { return "pad insertion"; } |
| |
| StatusOr<bool> Run(HloModule* module) override; |
| |
| private: |
| StatusOr<bool> RunOnComputation(HloComputation* computation); |
| // 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_ |