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Add an experimental pipeline for conv vector distribution. (#16789)
It excludes the tiling from first level of tiling; promotes images, and tiles the filter.
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compiler/src/iree/compiler/Codegen/LLVMGPU/LLVMGPUPromoteConvImgAndTileFilter.cpp
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| Original file line number | Diff line number | Diff line change |
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| // Copyright 2024 The IREE Authors | ||
| // | ||
| // Licensed under the Apache License v2.0 with LLVM Exceptions. | ||
| // See https://llvm.org/LICENSE.txt for license information. | ||
| // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception | ||
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| #include "iree/compiler/Codegen/LLVMGPU/PassDetail.h" | ||
| #include "iree/compiler/Codegen/LLVMGPU/Passes.h" | ||
| #include "mlir/Dialect/Linalg/IR/Linalg.h" | ||
| #include "mlir/Dialect/Linalg/Transforms/Transforms.h" | ||
| #include "mlir/Dialect/MemRef/Transforms/Transforms.h" | ||
| #include "mlir/IR/PatternMatch.h" | ||
| #include "mlir/Transforms/GreedyPatternRewriteDriver.h" | ||
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| #define DEBUG_TYPE "iree-llvmgpu-promote-conv-img" | ||
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| namespace mlir::iree_compiler { | ||
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| namespace { | ||
| struct LLVMGPUPromoteConvImgAndTileFilterPass | ||
| : public LLVMGPUPromoteConvImgAndTileFilterBase< | ||
| LLVMGPUPromoteConvImgAndTileFilterPass> { | ||
| void getDependentDialects(DialectRegistry ®istry) const override {} | ||
| void runOnOperation() override { | ||
| MLIRContext *ctx = &getContext(); | ||
| auto funcOp = getOperation(); | ||
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| linalg::LinalgOp conv; | ||
| auto found = funcOp->walk([&](linalg::Conv2DNhwcHwcfOp op) { | ||
| if (conv) { | ||
| return WalkResult::interrupt(); | ||
| } | ||
| conv = op; | ||
| return WalkResult::advance(); | ||
| }); | ||
| if (found.wasInterrupted()) { | ||
| LLVM_DEBUG(llvm::dbgs() << "skip, expect a single conv\n"); | ||
| return; | ||
| } | ||
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| LLVM_DEBUG(llvm::dbgs() << "candidate: " << conv << "\n"); | ||
| IRRewriter rewriter(ctx); | ||
| SmallVector<int64_t> paddingDims = {0, 1, 2, 3}; | ||
| SmallVector<bool> packPaddings = {1, 0, 0}; | ||
| SmallVector<int64_t> padToMultipleOf(paddingDims.size(), 1); | ||
| SmallVector<Attribute> paddingValueAttributes; | ||
| for (auto &operand : conv->getOpOperands()) { | ||
| auto elemType = getElementTypeOrSelf(operand.get().getType()); | ||
| paddingValueAttributes.push_back(rewriter.getZeroAttr(elemType)); | ||
| } | ||
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| auto options = | ||
| linalg::LinalgPaddingOptions() | ||
| .setPaddingDimensions(paddingDims) | ||
| .setPaddingValues(paddingValueAttributes) | ||
| .setPadToMultipleOf(padToMultipleOf) | ||
| .setPackPaddings(packPaddings) | ||
| .setCopyBackOp(linalg::LinalgPaddingOptions::CopyBackOp::None); | ||
| linalg::LinalgOp paddedOp; | ||
| SmallVector<Value> replacements; | ||
| SmallVector<tensor::PadOp> newPadOps; | ||
| if (failed(rewriteAsPaddedOp(rewriter, conv, options, paddedOp, | ||
| replacements, newPadOps))) { | ||
| LLVM_DEBUG(llvm::dbgs() << "failed to pad op " << conv << "\n"); | ||
| return signalPassFailure(); | ||
| } | ||
| rewriter.replaceOp(conv, replacements); | ||
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| // tile filter | ||
| { | ||
| funcOp->walk([&](linalg::Conv2DNhwcHwcfOp op) { conv = op; }); | ||
| FailureOr<IREE::Codegen::LoweringConfigAttr> loweringConfig = | ||
| getLoweringConfig(conv); | ||
| if (failed(loweringConfig)) { | ||
| LLVM_DEBUG(llvm::dbgs() | ||
| << "skip tiling because there are no lowering_config\n"); | ||
| return; | ||
| } | ||
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| IRRewriter rewriter(ctx); | ||
| SmallVector<OpFoldResult> tileSizes = llvm::map_to_vector( | ||
| loweringConfig->getTileSizeVals(1), [&](int64_t val) -> OpFoldResult { | ||
| return rewriter.getIndexAttr(val); | ||
| }); | ||
| auto options = scf::SCFTilingOptions().setTileSizes(tileSizes); | ||
| FailureOr<scf::SCFTilingResult> tilingResult = scf::tileUsingSCF( | ||
| rewriter, cast<TilingInterface>(conv.getOperation()), options); | ||
| if (failed(tilingResult)) | ||
| return signalPassFailure(); | ||
| rewriter.replaceOp(conv, tilingResult->replacements); | ||
| } | ||
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| // Canonicalize tiled ops. | ||
| { | ||
| RewritePatternSet patterns(ctx); | ||
| linalg::populateLinalgTilingCanonicalizationPatterns(patterns); | ||
| memref::populateResolveRankedShapedTypeResultDimsPatterns(patterns); | ||
| ctx->getOrLoadDialect<tensor::TensorDialect>() | ||
| ->getCanonicalizationPatterns(patterns); | ||
| if (failed(applyPatternsAndFoldGreedily(funcOp, std::move(patterns)))) { | ||
| return signalPassFailure(); | ||
| } | ||
| } | ||
| } | ||
| }; | ||
| } // namespace | ||
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| std::unique_ptr<InterfacePass<mlir::FunctionOpInterface>> | ||
| createLLVMGPUPromoteConvImgAndTileFilterPass() { | ||
| return std::make_unique<LLVMGPUPromoteConvImgAndTileFilterPass>(); | ||
| } | ||
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| } // namespace mlir::iree_compiler |
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