6867e49fc8
### Description This PR implements a minimal version of function signature conversion to unroll vectors into 1D and with a size supported by SPIR-V (2, 3 or 4 depending on the original dimension). This PR also includes new unit tests that only check for function signature conversion. ### Future Plans - Check for capabilities that support vectors of size 8 or 16. - Set up `OneToNTypeConversion` and `DialectConversion` to replace the current implementation that uses `GreedyPatternRewriteDriver`. - Introduce other vector unrolling patterns to cancel out the `vector.insert_strided_slice` and `vector.extract_strided_slice` ops and fully legalize the vector types in the function body. - Handle `func::CallOp` and declarations. - Restructure the code in `SPIRVConversion.cpp`. - Create test passes for testing sets of patterns in isolation. - Optimize the way original shape is splitted into target shapes, e.g. `vector<5xi32>` can be splitted into `vector<4xi32>` and `vector<1xi32>`. --------- Co-authored-by: Jakub Kuderski <kubakuderski@gmail.com>
82 lines
3.2 KiB
C++
82 lines
3.2 KiB
C++
//===- ConvertToSPIRVPass.cpp - MLIR SPIR-V Conversion --------------------===//
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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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#include "mlir/Conversion/ConvertToSPIRV/ConvertToSPIRVPass.h"
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#include "mlir/Conversion/ArithToSPIRV/ArithToSPIRV.h"
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#include "mlir/Conversion/FuncToSPIRV/FuncToSPIRV.h"
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#include "mlir/Conversion/IndexToSPIRV/IndexToSPIRV.h"
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#include "mlir/Conversion/SCFToSPIRV/SCFToSPIRV.h"
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#include "mlir/Conversion/UBToSPIRV/UBToSPIRV.h"
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#include "mlir/Conversion/VectorToSPIRV/VectorToSPIRV.h"
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#include "mlir/Dialect/Arith/Transforms/Passes.h"
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#include "mlir/Dialect/SPIRV/IR/SPIRVAttributes.h"
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#include "mlir/Dialect/SPIRV/IR/SPIRVDialect.h"
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#include "mlir/Dialect/SPIRV/Transforms/SPIRVConversion.h"
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#include "mlir/Dialect/Vector/Transforms/VectorRewritePatterns.h"
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#include "mlir/IR/PatternMatch.h"
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#include "mlir/Pass/Pass.h"
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#include "mlir/Rewrite/FrozenRewritePatternSet.h"
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#include "mlir/Transforms/DialectConversion.h"
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#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
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#include <memory>
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#define DEBUG_TYPE "convert-to-spirv"
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namespace mlir {
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#define GEN_PASS_DEF_CONVERTTOSPIRVPASS
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#include "mlir/Conversion/Passes.h.inc"
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} // namespace mlir
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using namespace mlir;
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namespace {
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/// A pass to perform the SPIR-V conversion.
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struct ConvertToSPIRVPass final
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: impl::ConvertToSPIRVPassBase<ConvertToSPIRVPass> {
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using ConvertToSPIRVPassBase::ConvertToSPIRVPassBase;
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void runOnOperation() override {
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MLIRContext *context = &getContext();
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Operation *op = getOperation();
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if (runSignatureConversion) {
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// Unroll vectors in function signatures to native vector size.
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RewritePatternSet patterns(context);
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populateFuncOpVectorRewritePatterns(patterns);
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populateReturnOpVectorRewritePatterns(patterns);
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GreedyRewriteConfig config;
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config.strictMode = GreedyRewriteStrictness::ExistingOps;
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if (failed(applyPatternsAndFoldGreedily(op, std::move(patterns), config)))
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return signalPassFailure();
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}
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spirv::TargetEnvAttr targetAttr = spirv::lookupTargetEnvOrDefault(op);
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std::unique_ptr<ConversionTarget> target =
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SPIRVConversionTarget::get(targetAttr);
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SPIRVTypeConverter typeConverter(targetAttr);
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RewritePatternSet patterns(context);
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ScfToSPIRVContext scfToSPIRVContext;
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// Populate patterns for each dialect.
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arith::populateCeilFloorDivExpandOpsPatterns(patterns);
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arith::populateArithToSPIRVPatterns(typeConverter, patterns);
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populateBuiltinFuncToSPIRVPatterns(typeConverter, patterns);
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populateFuncToSPIRVPatterns(typeConverter, patterns);
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index::populateIndexToSPIRVPatterns(typeConverter, patterns);
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populateVectorToSPIRVPatterns(typeConverter, patterns);
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populateSCFToSPIRVPatterns(typeConverter, scfToSPIRVContext, patterns);
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ub::populateUBToSPIRVConversionPatterns(typeConverter, patterns);
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if (failed(applyPartialConversion(op, *target, std::move(patterns))))
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return signalPassFailure();
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}
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};
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} // namespace
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