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 #include "tensorflow/compiler/mlir/lite/experimental/tac/transforms/device_transform_gpu.h" 17 18 #include <memory> 19 #include <utility> 20 21 #include "llvm/ADT/ArrayRef.h" 22 #include "llvm/ADT/SmallVector.h" 23 #include "llvm/Support/Casting.h" 24 #include "llvm/Support/raw_ostream.h" 25 #include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project 26 #include "mlir/IR/Attributes.h" // from @llvm-project 27 #include "mlir/IR/Builders.h" // from @llvm-project 28 #include "mlir/IR/BuiltinOps.h" // from @llvm-project 29 #include "mlir/IR/BuiltinTypes.h" // from @llvm-project 30 #include "mlir/IR/Value.h" // from @llvm-project 31 #include "mlir/Pass/Pass.h" // from @llvm-project 32 #include "mlir/Pass/PassRegistry.h" // from @llvm-project 33 #include "mlir/Support/LLVM.h" // from @llvm-project 34 #include "mlir/Support/LogicalResult.h" // from @llvm-project 35 #include "mlir/Transforms/GreedyPatternRewriteDriver.h" // from @llvm-project 36 #include "tensorflow/compiler/mlir/lite/experimental/tac/common/targets.h" 37 #include "tensorflow/compiler/mlir/lite/experimental/tac/hardwares/gpu_hardware.h" 38 #include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h" 39 #include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h" 40 41 namespace mlir { 42 namespace TFL { 43 namespace tac { 44 namespace { 45 46 struct DeviceTransformGPUPass 47 : public mlir::PassWrapper<DeviceTransformGPUPass, 48 OperationPass<func::FuncOp>> { MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_IDmlir::TFL::tac::__anon107daea10111::DeviceTransformGPUPass49 MLIR_DEFINE_EXPLICIT_INTERNAL_INLINE_TYPE_ID(DeviceTransformGPUPass) 50 51 llvm::StringRef getArgument() const final { 52 return "tfl-device-transform-gpu"; 53 } getDescriptionmlir::TFL::tac::__anon107daea10111::DeviceTransformGPUPass54 llvm::StringRef getDescription() const final { 55 return "Suitable transformation for gpu only."; 56 } getDependentDialectsmlir::TFL::tac::__anon107daea10111::DeviceTransformGPUPass57 void getDependentDialects(DialectRegistry& registry) const override { 58 registry.insert<TF::TensorFlowDialect>(); 59 } 60 void runOnOperation() override; 61 }; 62 runOnOperation()63void DeviceTransformGPUPass::runOnOperation() { 64 auto func = getOperation(); 65 auto* ctx = &getContext(); 66 RewritePatternSet patterns = GetHardwareRewritePatternsGPU(ctx); 67 (void)applyPatternsAndFoldGreedily(func, std::move(patterns)); 68 } 69 70 } // namespace 71 GetHardwareRewritePatternsGPU(MLIRContext * context)72RewritePatternSet GetHardwareRewritePatternsGPU(MLIRContext* context) { 73 GpuHardware gpu_hardware; 74 return gpu_hardware.GetTransformations(context); 75 } 76 CreateDeviceTransformGPUPass()77std::unique_ptr<OperationPass<func::FuncOp>> CreateDeviceTransformGPUPass() { 78 return std::make_unique<DeviceTransformGPUPass>(); 79 } 80 81 static PassRegistration<DeviceTransformGPUPass> pass; 82 83 } // namespace tac 84 } // namespace TFL 85 } // namespace mlir 86