| /* Copyright 2022 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_MLIR_HLO_TRANSFORMS_GPU_PASSES |
| #define TENSORFLOW_COMPILER_MLIR_HLO_TRANSFORMS_GPU_PASSES |
| |
| include "mlir/Pass/PassBase.td" |
| |
| def GpuFusionRewritePass : Pass<"gpu-fusion-rewrite", "ModuleOp"> { |
| let summary = "Pass to rewrite lmhlo.fusion ops to gpu.launch_func."; |
| let constructor = "createGpuFusionRewritePass()"; |
| } |
| |
| def GpuKernelToNVVMPass : Pass<"gpu-kernel-to-nvvm", "gpu::GPUModuleOp"> { |
| let summary = "Pass to transform a gpu module to nvvm."; |
| let dependentDialects = ["LLVM::LLVMDialect", "NVVM::NVVMDialect"]; |
| let constructor = "createGpuKernelToNvvmPass()"; |
| } |
| |
| def GpuKernelToROCDLPass : Pass<"gpu-kernel-to-rocdl", "gpu::GPUModuleOp"> { |
| let summary = "Pass to transform a gpu module to rocdl."; |
| let dependentDialects = ["LLVM::LLVMDialect", "ROCDL::ROCDLDialect"]; |
| let constructor = "createGpuKernelToRocdlPass()"; |
| } |
| |
| #endif // TENSORFLOW_COMPILER_MLIR_HLO_TRANSFORMS_GPU_PASSES |
