3ba66435d9
StandardToSPIRV currently contains an assortment of patterns converting from different dialects to SPIRV. This commit splits up StandardToSPIRV into separate conversions for each of the dialects involved (some of which already exist). Differential Revision: https://reviews.llvm.org/D120767
56 lines
2.1 KiB
C++
56 lines
2.1 KiB
C++
//===- TensorToSPIRVPass.cpp - Tensor to SPIR-V Passes ----------------===//
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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 implements a pass to convert Tensor dialect to SPIR-V dialect.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Conversion/TensorToSPIRV/TensorToSPIRVPass.h"
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#include "../PassDetail.h"
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#include "mlir/Conversion/ArithmeticToSPIRV/ArithmeticToSPIRV.h"
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#include "mlir/Conversion/FuncToSPIRV/FuncToSPIRV.h"
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#include "mlir/Conversion/TensorToSPIRV/TensorToSPIRV.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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using namespace mlir;
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namespace {
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/// A pass converting MLIR Tensor operations into the SPIR-V dialect.
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class ConvertTensorToSPIRVPass
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: public ConvertTensorToSPIRVBase<ConvertTensorToSPIRVPass> {
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void runOnOperation() override {
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MLIRContext *context = &getContext();
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ModuleOp module = getOperation();
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auto targetAttr = spirv::lookupTargetEnvOrDefault(module);
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std::unique_ptr<ConversionTarget> target =
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SPIRVConversionTarget::get(targetAttr);
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SPIRVTypeConverter::Options options;
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options.emulateNon32BitScalarTypes = this->emulateNon32BitScalarTypes;
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SPIRVTypeConverter typeConverter(targetAttr, options);
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RewritePatternSet patterns(context);
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arith::populateArithmeticToSPIRVPatterns(typeConverter, patterns);
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populateFuncToSPIRVPatterns(typeConverter, patterns);
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populateTensorToSPIRVPatterns(typeConverter, /*byteCountThreshold=*/64,
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patterns);
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populateBuiltinFuncToSPIRVPatterns(typeConverter, patterns);
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if (failed(applyPartialConversion(module, *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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std::unique_ptr<OperationPass<ModuleOp>>
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mlir::createConvertTensorToSPIRVPass() {
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return std::make_unique<ConvertTensorToSPIRVPass>();
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}
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