| //===- LoopsToGPUPass.h - Pass converting loops to GPU kernels --*- C++ -*-===// |
| // |
| // Copyright 2019 The MLIR Authors. |
| // |
| // 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 MLIR_CONVERSION_LOOPSTOGPU_LOOPSTOGPUPASS_H_ |
| #define MLIR_CONVERSION_LOOPSTOGPU_LOOPSTOGPUPASS_H_ |
| |
| namespace mlir { |
| class FunctionPassBase; |
| |
| /// Create a pass that converts loop nests into GPU kernels. It considers |
| /// top-level affine.for and linalg.for operations as roots of loop nests and |
| /// converts them to the gpu.launch operations if possible. |
| /// |
| /// No check on the size of the block or grid, or on the validity of |
| /// parallelization is performed, it is under the responsibility of the caller |
| /// to strip-mine the loops and to perform the dependence analysis before |
| /// calling the conversion. |
| FunctionPassBase *createSimpleLoopsToGPUPass(unsigned numBlockDims, |
| unsigned numThreadDims); |
| } // namespace mlir |
| |
| #endif // MLIR_CONVERSION_LOOPSTOGPU_LOOPSTOGPUPASS_H_ |
