Normally tensors will be stored in buffers before converting to SPIR-V, given that is how a large amount of data is sent to the GPU. However, SPIR-V supports converting from tensors directly too. This is for the cases where the tensor just contains a small amount of elements and it makes sense to directly inline them as a small data array in the shader. To handle this, internally the conversion might create new local variables. SPIR-V consumers in GPU drivers may or may not optimize that away. So this has implications over register pressure. Therefore, a threshold is used to control when the patterns should kick in. Reviewed By: ThomasRaoux Differential Revision: https://reviews.llvm.org/D98052
52 lines
1.9 KiB
C++
52 lines
1.9 KiB
C++
//===- StandardToSPIRVPass.cpp - Standard 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 standard dialect to SPIR-V dialect.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Conversion/StandardToSPIRV/StandardToSPIRVPass.h"
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#include "../PassDetail.h"
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#include "mlir/Conversion/StandardToSPIRV/StandardToSPIRV.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 Standard operations into the SPIR-V dialect.
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class ConvertStandardToSPIRVPass
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: public ConvertStandardToSPIRVBase<ConvertStandardToSPIRVPass> {
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void runOnOperation() override;
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};
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} // namespace
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void ConvertStandardToSPIRVPass::runOnOperation() {
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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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spirv::SPIRVConversionTarget::get(targetAttr);
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SPIRVTypeConverter typeConverter(targetAttr);
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OwningRewritePatternList patterns;
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populateStandardToSPIRVPatterns(context, typeConverter, patterns);
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populateTensorToSPIRVPatterns(context, typeConverter,
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/*byteCountThreshold=*/64, patterns);
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populateBuiltinFuncToSPIRVPatterns(context, 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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std::unique_ptr<OperationPass<ModuleOp>>
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mlir::createConvertStandardToSPIRVPass() {
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return std::make_unique<ConvertStandardToSPIRVPass>();
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}
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