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e78ea03b24
With the introduction of the Loop dialect, uses of the `linalg.for` operation can now be subsumed 1-to-1 by `loop.for`. This CL performs the replacement and tests are updated accordingly. PiperOrigin-RevId: 258322565
79 lines
3.1 KiB
C++
79 lines
3.1 KiB
C++
//===- LoopsToGPUPass.cpp - Convert a loop nest to a GPU kernel -----------===//
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//
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// Copyright 2019 The MLIR Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// =============================================================================
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#include "mlir/Conversion/LoopsToGPU/LoopsToGPUPass.h"
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#include "mlir/AffineOps/AffineOps.h"
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#include "mlir/Conversion/LoopsToGPU/LoopsToGPU.h"
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#include "mlir/Dialect/LoopOps/LoopOps.h"
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#include "mlir/Pass/Pass.h"
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#include "llvm/Support/CommandLine.h"
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#define PASS_NAME "convert-loops-to-gpu"
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using namespace mlir;
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using namespace mlir::loop;
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static llvm::cl::OptionCategory clOptionsCategory(PASS_NAME " options");
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static llvm::cl::opt<unsigned>
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clNumBlockDims("gpu-block-dims",
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llvm::cl::desc("Number of GPU block dimensions for mapping"),
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llvm::cl::cat(clOptionsCategory), llvm::cl::init(1u));
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static llvm::cl::opt<unsigned> clNumThreadDims(
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"gpu-thread-dims",
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llvm::cl::desc("Number of GPU thread dimensions for mapping"),
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llvm::cl::cat(clOptionsCategory), llvm::cl::init(1u));
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namespace {
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// A pass that traverses top-level loops in the function and converts them to
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// GPU launch operations. Nested launches are not allowed, so this does not
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// walk the function recursively to avoid considering nested loops.
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struct ForLoopMapper : public FunctionPass<ForLoopMapper> {
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ForLoopMapper(unsigned numBlockDims, unsigned numThreadDims)
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: numBlockDims(numBlockDims), numThreadDims(numThreadDims) {}
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void runOnFunction() override {
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for (Block &block : getFunction())
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for (Operation &op : llvm::make_early_inc_range(block)) {
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if (auto forOp = dyn_cast<AffineForOp>(&op)) {
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if (failed(convertAffineLoopNestToGPULaunch(forOp, numBlockDims,
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numThreadDims)))
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signalPassFailure();
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} else if (auto forOp = dyn_cast<ForOp>(&op)) {
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if (failed(convertLoopNestToGPULaunch(forOp, numBlockDims,
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numThreadDims)))
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signalPassFailure();
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}
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}
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}
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unsigned numBlockDims;
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unsigned numThreadDims;
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};
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} // namespace
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FunctionPassBase *mlir::createSimpleLoopsToGPUPass(unsigned numBlockDims,
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unsigned numThreadDims) {
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return new ForLoopMapper(numBlockDims, numThreadDims);
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}
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static PassRegistration<ForLoopMapper>
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registration(PASS_NAME, "Convert top-level loops to GPU kernels", [] {
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return new ForLoopMapper(clNumBlockDims.getValue(),
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clNumThreadDims.getValue());
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});
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