Rename mlir::applyPatternsGreedily -> applyPatternsAndFoldGreedily. The new name is a more accurate description of the method - it performs both, application of the specified patterns and folding of all ops in the op's region irrespective of whether any patterns have been supplied. Differential Revision: https://reviews.llvm.org/D77478
37 lines
1.2 KiB
C++
37 lines
1.2 KiB
C++
//===- TestAllReduceLowering.cpp - Test gpu.all_reduce lowering -----------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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//
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// This file contains test passes for lowering the gpu.all_reduce op.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Dialect/GPU/Passes.h"
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#include "mlir/IR/PatternMatch.h"
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#include "mlir/Pass/Pass.h"
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using namespace mlir;
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namespace {
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struct TestAllReduceLoweringPass
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: public PassWrapper<TestAllReduceLoweringPass, OperationPass<ModuleOp>> {
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void runOnOperation() override {
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OwningRewritePatternList patterns;
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populateGpuRewritePatterns(&getContext(), patterns);
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applyPatternsAndFoldGreedily(getOperation(), patterns);
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}
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};
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} // namespace
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namespace mlir {
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void registerTestAllReduceLoweringPass() {
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PassRegistration<TestAllReduceLoweringPass> pass(
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"test-all-reduce-lowering",
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"Lowers gpu.all-reduce ops within the GPU dialect.");
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}
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} // namespace mlir
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