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This change adds initial support needed to generate OpenCL compliant SPIRV. If Kernel capability is declared then memory model becomes OpenCL. If Addresses capability is declared then addressing model becomes Physical64. Additionally for Kernel capability interface variable ABI attributes are not generated as entry point function is expected to have normal arguments. Differential Revision: https://reviews.llvm.org/D85196
343 lines
13 KiB
C++
343 lines
13 KiB
C++
//===- ConvertGPUToSPIRV.cpp - Convert GPU ops to SPIR-V dialect ----------===//
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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 the conversion patterns from GPU ops to SPIR-V dialect.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Conversion/GPUToSPIRV/ConvertGPUToSPIRV.h"
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#include "mlir/Dialect/GPU/GPUDialect.h"
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#include "mlir/Dialect/SPIRV/SPIRVDialect.h"
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#include "mlir/Dialect/SPIRV/SPIRVLowering.h"
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#include "mlir/Dialect/SPIRV/SPIRVOps.h"
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#include "mlir/Dialect/SPIRV/TargetAndABI.h"
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#include "mlir/IR/Module.h"
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using namespace mlir;
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namespace {
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/// Pattern lowering GPU block/thread size/id to loading SPIR-V invocation
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/// builtin variables.
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template <typename SourceOp, spirv::BuiltIn builtin>
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class LaunchConfigConversion : public SPIRVOpLowering<SourceOp> {
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public:
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using SPIRVOpLowering<SourceOp>::SPIRVOpLowering;
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LogicalResult
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matchAndRewrite(SourceOp op, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Pattern lowering subgoup size/id to loading SPIR-V invocation
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/// builtin variables.
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template <typename SourceOp, spirv::BuiltIn builtin>
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class SingleDimLaunchConfigConversion : public SPIRVOpLowering<SourceOp> {
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public:
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using SPIRVOpLowering<SourceOp>::SPIRVOpLowering;
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LogicalResult
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matchAndRewrite(SourceOp op, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// This is separate because in Vulkan workgroup size is exposed to shaders via
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/// a constant with WorkgroupSize decoration. So here we cannot generate a
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/// builtin variable; instead the information in the `spv.entry_point_abi`
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/// attribute on the surrounding FuncOp is used to replace the gpu::BlockDimOp.
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class WorkGroupSizeConversion : public SPIRVOpLowering<gpu::BlockDimOp> {
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public:
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using SPIRVOpLowering<gpu::BlockDimOp>::SPIRVOpLowering;
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LogicalResult
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matchAndRewrite(gpu::BlockDimOp op, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Pattern to convert a kernel function in GPU dialect within a spv.module.
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class GPUFuncOpConversion final : public SPIRVOpLowering<gpu::GPUFuncOp> {
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public:
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using SPIRVOpLowering<gpu::GPUFuncOp>::SPIRVOpLowering;
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LogicalResult
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matchAndRewrite(gpu::GPUFuncOp funcOp, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const override;
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private:
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SmallVector<int32_t, 3> workGroupSizeAsInt32;
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};
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/// Pattern to convert a gpu.module to a spv.module.
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class GPUModuleConversion final : public SPIRVOpLowering<gpu::GPUModuleOp> {
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public:
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using SPIRVOpLowering<gpu::GPUModuleOp>::SPIRVOpLowering;
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LogicalResult
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matchAndRewrite(gpu::GPUModuleOp moduleOp, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const override;
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};
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/// Pattern to convert a gpu.return into a SPIR-V return.
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// TODO: This can go to DRR when GPU return has operands.
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class GPUReturnOpConversion final : public SPIRVOpLowering<gpu::ReturnOp> {
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public:
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using SPIRVOpLowering<gpu::ReturnOp>::SPIRVOpLowering;
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LogicalResult
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matchAndRewrite(gpu::ReturnOp returnOp, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const override;
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};
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} // namespace
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//===----------------------------------------------------------------------===//
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// Builtins.
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//===----------------------------------------------------------------------===//
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static Optional<int32_t> getLaunchConfigIndex(Operation *op) {
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auto dimAttr = op->getAttrOfType<StringAttr>("dimension");
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if (!dimAttr) {
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return {};
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}
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if (dimAttr.getValue() == "x") {
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return 0;
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} else if (dimAttr.getValue() == "y") {
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return 1;
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} else if (dimAttr.getValue() == "z") {
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return 2;
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}
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return {};
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}
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template <typename SourceOp, spirv::BuiltIn builtin>
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LogicalResult LaunchConfigConversion<SourceOp, builtin>::matchAndRewrite(
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SourceOp op, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const {
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auto index = getLaunchConfigIndex(op);
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if (!index)
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return failure();
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// SPIR-V invocation builtin variables are a vector of type <3xi32>
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auto spirvBuiltin = spirv::getBuiltinVariableValue(op, builtin, rewriter);
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rewriter.replaceOpWithNewOp<spirv::CompositeExtractOp>(
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op, rewriter.getIntegerType(32), spirvBuiltin,
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rewriter.getI32ArrayAttr({index.getValue()}));
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return success();
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}
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template <typename SourceOp, spirv::BuiltIn builtin>
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LogicalResult
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SingleDimLaunchConfigConversion<SourceOp, builtin>::matchAndRewrite(
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SourceOp op, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const {
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auto spirvBuiltin = spirv::getBuiltinVariableValue(op, builtin, rewriter);
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rewriter.replaceOp(op, spirvBuiltin);
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return success();
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}
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LogicalResult WorkGroupSizeConversion::matchAndRewrite(
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gpu::BlockDimOp op, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const {
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auto index = getLaunchConfigIndex(op);
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if (!index)
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return failure();
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auto workGroupSizeAttr = spirv::lookupLocalWorkGroupSize(op);
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auto val = workGroupSizeAttr.getValue<int32_t>(index.getValue());
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auto convertedType = typeConverter.convertType(op.getResult().getType());
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if (!convertedType)
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return failure();
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rewriter.replaceOpWithNewOp<spirv::ConstantOp>(
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op, convertedType, IntegerAttr::get(convertedType, val));
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return success();
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}
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//===----------------------------------------------------------------------===//
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// GPUFuncOp
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//===----------------------------------------------------------------------===//
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// Legalizes a GPU function as an entry SPIR-V function.
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static spirv::FuncOp
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lowerAsEntryFunction(gpu::GPUFuncOp funcOp, SPIRVTypeConverter &typeConverter,
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ConversionPatternRewriter &rewriter,
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spirv::EntryPointABIAttr entryPointInfo,
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ArrayRef<spirv::InterfaceVarABIAttr> argABIInfo) {
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auto fnType = funcOp.getType();
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if (fnType.getNumResults()) {
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funcOp.emitError("SPIR-V lowering only supports entry functions"
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"with no return values right now");
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return nullptr;
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}
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if (!argABIInfo.empty() && fnType.getNumInputs() != argABIInfo.size()) {
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funcOp.emitError(
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"lowering as entry functions requires ABI info for all arguments "
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"or none of them");
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return nullptr;
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}
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// Update the signature to valid SPIR-V types and add the ABI
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// attributes. These will be "materialized" by using the
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// LowerABIAttributesPass.
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TypeConverter::SignatureConversion signatureConverter(fnType.getNumInputs());
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{
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for (auto argType : enumerate(funcOp.getType().getInputs())) {
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auto convertedType = typeConverter.convertType(argType.value());
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signatureConverter.addInputs(argType.index(), convertedType);
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}
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}
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auto newFuncOp = rewriter.create<spirv::FuncOp>(
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funcOp.getLoc(), funcOp.getName(),
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rewriter.getFunctionType(signatureConverter.getConvertedTypes(),
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llvm::None));
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for (const auto &namedAttr : funcOp.getAttrs()) {
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if (namedAttr.first == impl::getTypeAttrName() ||
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namedAttr.first == SymbolTable::getSymbolAttrName())
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continue;
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newFuncOp.setAttr(namedAttr.first, namedAttr.second);
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}
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rewriter.inlineRegionBefore(funcOp.getBody(), newFuncOp.getBody(),
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newFuncOp.end());
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if (failed(rewriter.convertRegionTypes(&newFuncOp.getBody(), typeConverter,
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&signatureConverter)))
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return nullptr;
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rewriter.eraseOp(funcOp);
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spirv::setABIAttrs(newFuncOp, entryPointInfo, argABIInfo);
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return newFuncOp;
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}
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/// Populates `argABI` with spv.interface_var_abi attributes for lowering
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/// gpu.func to spv.func if no arguments have the attributes set
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/// already. Returns failure if any argument has the ABI attribute set already.
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static LogicalResult
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getDefaultABIAttrs(MLIRContext *context, gpu::GPUFuncOp funcOp,
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SmallVectorImpl<spirv::InterfaceVarABIAttr> &argABI) {
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spirv::TargetEnvAttr targetEnv = spirv::lookupTargetEnvOrDefault(funcOp);
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if (!spirv::needsInterfaceVarABIAttrs(targetEnv))
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return success();
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for (auto argIndex : llvm::seq<unsigned>(0, funcOp.getNumArguments())) {
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if (funcOp.getArgAttrOfType<spirv::InterfaceVarABIAttr>(
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argIndex, spirv::getInterfaceVarABIAttrName()))
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return failure();
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// Vulkan's interface variable requirements needs scalars to be wrapped in a
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// struct. The struct held in storage buffer.
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Optional<spirv::StorageClass> sc;
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if (funcOp.getArgument(argIndex).getType().isIntOrIndexOrFloat())
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sc = spirv::StorageClass::StorageBuffer;
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argABI.push_back(spirv::getInterfaceVarABIAttr(0, argIndex, sc, context));
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}
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return success();
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}
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LogicalResult GPUFuncOpConversion::matchAndRewrite(
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gpu::GPUFuncOp funcOp, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const {
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if (!gpu::GPUDialect::isKernel(funcOp))
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return failure();
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SmallVector<spirv::InterfaceVarABIAttr, 4> argABI;
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if (failed(getDefaultABIAttrs(rewriter.getContext(), funcOp, argABI))) {
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argABI.clear();
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for (auto argIndex : llvm::seq<unsigned>(0, funcOp.getNumArguments())) {
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// If the ABI is already specified, use it.
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auto abiAttr = funcOp.getArgAttrOfType<spirv::InterfaceVarABIAttr>(
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argIndex, spirv::getInterfaceVarABIAttrName());
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if (!abiAttr) {
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funcOp.emitRemark(
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"match failure: missing 'spv.interface_var_abi' attribute at "
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"argument ")
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<< argIndex;
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return failure();
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}
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argABI.push_back(abiAttr);
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}
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}
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auto entryPointAttr = spirv::lookupEntryPointABI(funcOp);
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if (!entryPointAttr) {
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funcOp.emitRemark("match failure: missing 'spv.entry_point_abi' attribute");
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return failure();
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}
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spirv::FuncOp newFuncOp = lowerAsEntryFunction(
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funcOp, typeConverter, rewriter, entryPointAttr, argABI);
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if (!newFuncOp)
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return failure();
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newFuncOp.removeAttr(Identifier::get(gpu::GPUDialect::getKernelFuncAttrName(),
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rewriter.getContext()));
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return success();
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}
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//===----------------------------------------------------------------------===//
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// ModuleOp with gpu.module.
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//===----------------------------------------------------------------------===//
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LogicalResult GPUModuleConversion::matchAndRewrite(
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gpu::GPUModuleOp moduleOp, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const {
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spirv::TargetEnvAttr targetEnv = spirv::lookupTargetEnvOrDefault(moduleOp);
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spirv::AddressingModel addressingModel = spirv::getAddressingModel(targetEnv);
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FailureOr<spirv::MemoryModel> memoryModel = spirv::getMemoryModel(targetEnv);
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if (failed(memoryModel))
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return moduleOp.emitRemark("match failure: could not selected memory model "
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"based on 'spv.target_env'");
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auto spvModule = rewriter.create<spirv::ModuleOp>(
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moduleOp.getLoc(), addressingModel, memoryModel.getValue());
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// Move the region from the module op into the SPIR-V module.
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Region &spvModuleRegion = spvModule.body();
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rewriter.inlineRegionBefore(moduleOp.body(), spvModuleRegion,
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spvModuleRegion.begin());
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// The spv.module build method adds a block with a terminator. Remove that
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// block. The terminator of the module op in the remaining block will be
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// legalized later.
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rewriter.eraseBlock(&spvModuleRegion.back());
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rewriter.eraseOp(moduleOp);
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return success();
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}
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//===----------------------------------------------------------------------===//
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// GPU return inside kernel functions to SPIR-V return.
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//===----------------------------------------------------------------------===//
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LogicalResult GPUReturnOpConversion::matchAndRewrite(
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gpu::ReturnOp returnOp, ArrayRef<Value> operands,
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ConversionPatternRewriter &rewriter) const {
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if (!operands.empty())
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return failure();
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rewriter.replaceOpWithNewOp<spirv::ReturnOp>(returnOp);
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return success();
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}
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//===----------------------------------------------------------------------===//
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// GPU To SPIRV Patterns.
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//===----------------------------------------------------------------------===//
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namespace {
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#include "GPUToSPIRV.cpp.inc"
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}
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void mlir::populateGPUToSPIRVPatterns(MLIRContext *context,
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SPIRVTypeConverter &typeConverter,
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OwningRewritePatternList &patterns) {
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populateWithGenerated(context, &patterns);
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patterns.insert<
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GPUFuncOpConversion, GPUModuleConversion, GPUReturnOpConversion,
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LaunchConfigConversion<gpu::BlockIdOp, spirv::BuiltIn::WorkgroupId>,
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LaunchConfigConversion<gpu::GridDimOp, spirv::BuiltIn::NumWorkgroups>,
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LaunchConfigConversion<gpu::ThreadIdOp,
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spirv::BuiltIn::LocalInvocationId>,
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SingleDimLaunchConfigConversion<gpu::SubgroupIdOp,
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spirv::BuiltIn::SubgroupId>,
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SingleDimLaunchConfigConversion<gpu::NumSubgroupsOp,
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spirv::BuiltIn::NumSubgroups>,
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SingleDimLaunchConfigConversion<gpu::SubgroupSizeOp,
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spirv::BuiltIn::SubgroupSize>,
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WorkGroupSizeConversion>(context, typeConverter);
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}
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