-
Notifications
You must be signed in to change notification settings - Fork 608
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Jerry Wu
committed
Aug 9, 2023
1 parent
a0aebfc
commit d6b0730
Showing
5 changed files
with
160 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
147 changes: 147 additions & 0 deletions
147
compiler/src/iree/compiler/Codegen/LLVMCPU/LLVMCPUDecomposeBatchMmt4d.cpp
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,147 @@ | ||
// Copyright 2023 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 | ||
|
||
#include "iree/compiler/Codegen/LLVMCPU/PassDetail.h" | ||
#include "iree/compiler/Codegen/LLVMCPU/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/Dialect/SCF/Transforms/TileUsingInterface.h" | ||
#include "mlir/Transforms/GreedyPatternRewriteDriver.h" | ||
|
||
#define DEBUG_TYPE "iree-llvmcpu-decompose-batch-mmt4d" | ||
|
||
namespace mlir { | ||
namespace iree_compiler { | ||
|
||
namespace { | ||
struct LLVMCPUDecomposeBatchMmt4dPass | ||
: public LLVMCPUDecomposeBatchMmt4dBase<LLVMCPUDecomposeBatchMmt4dPass> { | ||
void runOnOperation() override; | ||
}; | ||
} // namespace | ||
|
||
void LLVMCPUDecomposeBatchMmt4dPass::runOnOperation() { | ||
MLIRContext *ctx = &getContext(); | ||
auto funcOp = getOperation(); | ||
|
||
{ | ||
auto tileAndFuseOptions = scf::SCFTileAndFuseOptions().setTilingOptions( | ||
scf::SCFTilingOptions().setTileSizes({1})); | ||
IRRewriter rewriter(ctx); | ||
funcOp->walk([&](linalg::BatchMmt4DOp op) { | ||
FailureOr<scf::SCFTileAndFuseResult> tileAndFuseResult = | ||
scf::tileConsumerAndFuseProducerGreedilyUsingSCFForOp( | ||
rewriter, cast<TilingInterface>(op.getOperation()), | ||
tileAndFuseOptions); | ||
if (failed(tileAndFuseResult)) { | ||
return signalPassFailure(); | ||
} | ||
|
||
SmallVector<Value> replacements; | ||
replacements.resize(op->getNumResults()); | ||
for (const auto &[index, result] : llvm::enumerate(op->getResults())) { | ||
replacements[index] = tileAndFuseResult->replacements[result]; | ||
} | ||
op->replaceAllUsesWith(replacements); | ||
}); | ||
|
||
// LLVM_DEBUG({ | ||
llvm::dbgs() << "--- After applying tiling that makes batch dim be 1" | ||
" ---\n"; | ||
funcOp.print(llvm::dbgs(), OpPrintingFlags().useLocalScope()); | ||
llvm::dbgs() << "\n\n"; | ||
// }); | ||
} | ||
|
||
// 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(); | ||
} | ||
} | ||
|
||
{ | ||
funcOp->walk([&](linalg::BatchMmt4DOp op) { | ||
IRRewriter rewriter(ctx); | ||
OpBuilder::InsertionGuard g(rewriter); | ||
rewriter.setInsertionPoint(op); | ||
auto loc = op.getLoc(); | ||
|
||
auto lhs = op.getDpsInputOperand(0)->get(); | ||
auto rhs = op.getDpsInputOperand(1)->get(); | ||
auto out = op.getDpsInitOperand(0)->get(); | ||
|
||
auto lhsType = lhs.getType().cast<RankedTensorType>(); | ||
auto reducedLhsType = RankedTensorType::Builder(lhsType).dropDim(0); | ||
auto reducedLhs = tensor::createCanonicalRankReducingExtractSliceOp( | ||
rewriter, loc, lhs, reducedLhsType); | ||
|
||
auto rhsType = rhs.getType().cast<RankedTensorType>(); | ||
auto reducedRhsType = RankedTensorType::Builder(rhsType).dropDim(0); | ||
auto reducedRhs = tensor::createCanonicalRankReducingExtractSliceOp( | ||
rewriter, loc, rhs, reducedRhsType); | ||
|
||
auto outType = out.getType().cast<RankedTensorType>(); | ||
auto reducedOutType = RankedTensorType::Builder(outType).dropDim(0); | ||
|
||
Value originalOut = out; | ||
Value reducedOut; | ||
if (auto oldFillOp = out.getDefiningOp<linalg::FillOp>()) { | ||
originalOut = oldFillOp.output(); | ||
auto newInit = tensor::createCanonicalRankReducingExtractSliceOp( | ||
rewriter, loc, originalOut, reducedOutType); | ||
reducedOut = | ||
rewriter | ||
.create<linalg::FillOp>(loc, ValueRange{oldFillOp.value()}, | ||
ValueRange{newInit}) | ||
.result(); | ||
} else { | ||
reducedOut = tensor::createCanonicalRankReducingExtractSliceOp( | ||
rewriter, loc, out, reducedOutType); | ||
originalOut = out; | ||
} | ||
|
||
auto mmt4DOp = rewriter.create<linalg::Mmt4DOp>( | ||
loc, reducedOut.getType(), ValueRange{reducedLhs, reducedRhs}, | ||
ValueRange{reducedOut}); | ||
|
||
auto insertSliceOp = tensor::createCanonicalRankReducingInsertSliceOp( | ||
rewriter, loc, mmt4DOp.getResult(0), originalOut); | ||
rewriter.replaceOp(op, insertSliceOp); | ||
}); | ||
|
||
// LLVM_DEBUG({ | ||
llvm::dbgs() << "--- After converting batch_mmt4d into mmt4d ---\n"; | ||
funcOp.print(llvm::dbgs(), OpPrintingFlags().useLocalScope()); | ||
llvm::dbgs() << "\n\n"; | ||
// }); | ||
} | ||
|
||
// Canonicalize extract and insert slice ops. | ||
{ | ||
RewritePatternSet patterns(ctx); | ||
tensor::populateMergeConsecutiveInsertExtractSlicePatterns(patterns); | ||
tensor::InsertSliceOp::getCanonicalizationPatterns(patterns, ctx); | ||
tensor::ExtractSliceOp::getCanonicalizationPatterns(patterns, ctx); | ||
if (failed(applyPatternsAndFoldGreedily(funcOp, std::move(patterns)))) { | ||
return signalPassFailure(); | ||
} | ||
} | ||
} | ||
|
||
std::unique_ptr<OperationPass<func::FuncOp>> | ||
createLLVMCPUDecomposeBatchMmt4dPass() { | ||
return std::make_unique<LLVMCPUDecomposeBatchMmt4dPass>(); | ||
} | ||
|
||
} // namespace iree_compiler | ||
} // namespace mlir |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters