1 /* Copyright 2021 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 // This file implements logic for lowering LHLO GPU dialect to TFRT CUDA 17 // dialect. 18 19 #include "tensorflow/compiler/mlir/tfrt/transforms/lmhlo_to_gpu/lmhlo_to_gpu_binary.h" 20 21 #include <memory> 22 #include <utility> 23 24 #include "mlir/IR/BuiltinOps.h" 25 #include "mlir/IR/MLIRContext.h" 26 #include "mlir/IR/PatternMatch.h" 27 #include "mlir/Pass/Pass.h" 28 #include "mlir/Transforms/GreedyPatternRewriteDriver.h" 29 #include "tensorflow/compiler/xla/service/gpu/ir_emitter_unnested.h" 30 31 namespace tensorflow { 32 33 void populateKernelOpsPattern(mlir::RewritePatternSet&, GpuBinaryOptions); 34 35 namespace { 36 37 #define GEN_PASS_CLASSES 38 #include "tensorflow/compiler/mlir/tfrt/transforms/lmhlo_to_gpu/gpu_passes.h.inc" 39 40 struct ConvertLmhloToGpuBinaryPass 41 : public ConvertLmhloToGpuBinaryPassBase<ConvertLmhloToGpuBinaryPass> { 42 public: ConvertLmhloToGpuBinaryPasstensorflow::__anon9201607e0111::ConvertLmhloToGpuBinaryPass43 explicit ConvertLmhloToGpuBinaryPass(GpuBinaryOptions options) 44 : options(options) {} 45 46 private: runOnOperationtensorflow::__anon9201607e0111::ConvertLmhloToGpuBinaryPass47 void runOnOperation() override { 48 mlir::RewritePatternSet patterns(&getContext()); 49 populateKernelOpsPattern(patterns, options); 50 if (failed(applyOpPatternsAndFold(getOperation(), std::move(patterns)))) 51 return signalPassFailure(); 52 } 53 getDependentDialectstensorflow::__anon9201607e0111::ConvertLmhloToGpuBinaryPass54 void getDependentDialects(mlir::DialectRegistry& registry) const override { 55 xla::gpu::IrEmitterUnnested::GetDependentDialects(registry); 56 } 57 58 GpuBinaryOptions options; 59 }; 60 61 } // namespace 62 createConvertLmhloToGpuBinaryPass(GpuBinaryOptions options)63std::unique_ptr<mlir::Pass> createConvertLmhloToGpuBinaryPass( 64 GpuBinaryOptions options) { 65 return std::make_unique<ConvertLmhloToGpuBinaryPass>(options); 66 } 67 registerConvertLmhloToGpuBinaryPass()68void registerConvertLmhloToGpuBinaryPass() { 69 ::mlir::registerPass([] { return createConvertLmhloToGpuBinaryPass(); }); 70 } 71 72 } // namespace tensorflow 73