1 /* Copyright 2018 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 #ifndef TENSORFLOW_COMPILER_XLA_SERVICE_GPU_GPU_CONV_REWRITER_H_ 17 #define TENSORFLOW_COMPILER_XLA_SERVICE_GPU_GPU_CONV_REWRITER_H_ 18 19 #include "tensorflow/compiler/xla/service/hlo_module.h" 20 #include "tensorflow/compiler/xla/service/hlo_pass_interface.h" 21 22 namespace xla { 23 namespace gpu { 24 25 // Rewrites plain convolutions, backwards-filter convolutions, and 26 // backwards-input convolutions into CustomCall HLOs that call into 27 // Cudnn/Miopen. 28 // For integer convolution, it requires the following pattern: 29 // conv<InputT=int32, ResultT=int32>( 30 // convert<int32>(int8_x), convert<int32>(int8_y)) 31 // We transform it to: 32 // custom_call<int32>(int8_x, int8_y, target=cudnnForwardConvolution) 33 // Note that this pattern is necessary but not sufficient to map convolutions 34 // to CuDNN. More patterns will be matched in cudnn_fused_conv_rewriter. 35 36 class GpuConvRewriter : public HloModulePass { 37 public: name()38 absl::string_view name() const override { return "gpu-conv-rewriter"; } 39 40 StatusOr<bool> Run(HloModule* module) override; 41 }; 42 43 } // namespace gpu 44 } // namespace xla 45 46 #endif // TENSORFLOW_COMPILER_XLA_SERVICE_GPU_GPU_CONV_REWRITER_H_ 47