67d0d7ac0a
The patch introduces the required changes to update the pass declarations and definitions to use the new autogenerated files and allow dropping the old infrastructure. Reviewed By: mehdi_amini, rriddle Differential Review: https://reviews.llvm.org/D132838
60 lines
2.2 KiB
C++
60 lines
2.2 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 "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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namespace mlir {
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#define GEN_PASS_DEF_CONVERTTENSORTOSPIRV
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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 converting MLIR Tensor operations into the SPIR-V dialect.
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class ConvertTensorToSPIRVPass
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: public impl::ConvertTensorToSPIRVBase<ConvertTensorToSPIRVPass> {
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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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auto 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::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(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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std::unique_ptr<OperationPass<>> mlir::createConvertTensorToSPIRVPass() {
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return std::make_unique<ConvertTensorToSPIRVPass>();
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}
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