llvm-project/mlir/lib/Conversion/GPUToROCDL/LowerGpuOpsToROCDLOps.cpp
Adrian Kuegel 07cc77187a Lower math.expm1 to intrinsics in the GPUToNVVM and GPUToROCDL conversions.
This adds the lowering for expm1 for GPU backends.

Differential Revision: https://reviews.llvm.org/D96756
2021-02-16 10:23:42 +01:00

151 lines
6.7 KiB
C++

//===- LowerGpuOpsToROCDLOps.cpp - MLIR GPU to ROCDL lowering passes ------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// This file implements a pass to generate ROCDLIR operations for higher-level
// GPU operations.
//
//===----------------------------------------------------------------------===//
#include "mlir/Conversion/GPUToROCDL/GPUToROCDLPass.h"
#include "mlir/Conversion/StandardToLLVM/ConvertStandardToLLVMPass.h"
#include "mlir/Conversion/VectorToLLVM/ConvertVectorToLLVM.h"
#include "mlir/Conversion/VectorToROCDL/VectorToROCDL.h"
#include "mlir/Dialect/GPU/GPUDialect.h"
#include "mlir/Dialect/GPU/Passes.h"
#include "mlir/Dialect/LLVMIR/ROCDLDialect.h"
#include "mlir/Dialect/Math/IR/Math.h"
#include "mlir/Dialect/Vector/VectorOps.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Transforms/DialectConversion.h"
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
#include "llvm/Support/FormatVariadic.h"
#include "../GPUCommon/GPUOpsLowering.h"
#include "../GPUCommon/IndexIntrinsicsOpLowering.h"
#include "../GPUCommon/OpToFuncCallLowering.h"
#include "../PassDetail.h"
using namespace mlir;
namespace {
/// Import the GPU Ops to ROCDL Patterns.
#include "GPUToROCDL.cpp.inc"
// A pass that replaces all occurrences of GPU device operations with their
// corresponding ROCDL equivalent.
//
// This pass only handles device code and is not meant to be run on GPU host
// code.
struct LowerGpuOpsToROCDLOpsPass
: public ConvertGpuOpsToROCDLOpsBase<LowerGpuOpsToROCDLOpsPass> {
LowerGpuOpsToROCDLOpsPass() = default;
LowerGpuOpsToROCDLOpsPass(unsigned indexBitwidth) {
this->indexBitwidth = indexBitwidth;
}
void runOnOperation() override {
gpu::GPUModuleOp m = getOperation();
/// Customize the bitwidth used for the device side index computations.
LowerToLLVMOptions options = {/*useBarePtrCallConv =*/false,
/*emitCWrappers =*/true,
/*indexBitwidth =*/indexBitwidth,
/*useAlignedAlloc =*/false};
LLVMTypeConverter converter(m.getContext(), options);
OwningRewritePatternList patterns, llvmPatterns;
populateGpuRewritePatterns(m.getContext(), patterns);
(void)applyPatternsAndFoldGreedily(m, std::move(patterns));
populateVectorToLLVMConversionPatterns(converter, llvmPatterns);
populateVectorToROCDLConversionPatterns(converter, llvmPatterns);
populateStdToLLVMConversionPatterns(converter, llvmPatterns);
populateGpuToROCDLConversionPatterns(converter, llvmPatterns);
LLVMConversionTarget target(getContext());
configureGpuToROCDLConversionLegality(target);
if (failed(applyPartialConversion(m, target, std::move(llvmPatterns))))
signalPassFailure();
}
};
} // anonymous namespace
void mlir::configureGpuToROCDLConversionLegality(ConversionTarget &target) {
target.addIllegalOp<FuncOp>();
target.addLegalDialect<::mlir::LLVM::LLVMDialect>();
target.addLegalDialect<ROCDL::ROCDLDialect>();
target.addIllegalDialect<gpu::GPUDialect>();
target.addIllegalOp<LLVM::CosOp, LLVM::ExpOp, LLVM::FAbsOp, LLVM::FCeilOp,
LLVM::FFloorOp, LLVM::LogOp, LLVM::Log10Op, LLVM::Log2Op,
LLVM::PowOp, LLVM::SinOp, LLVM::SqrtOp>();
// TODO: Remove once we support replacing non-root ops.
target.addLegalOp<gpu::YieldOp, gpu::GPUModuleOp, gpu::ModuleEndOp>();
}
void mlir::populateGpuToROCDLConversionPatterns(
LLVMTypeConverter &converter, OwningRewritePatternList &patterns) {
populateWithGenerated(converter.getDialect()->getContext(), patterns);
patterns.insert<
GPUIndexIntrinsicOpLowering<gpu::ThreadIdOp, ROCDL::ThreadIdXOp,
ROCDL::ThreadIdYOp, ROCDL::ThreadIdZOp>,
GPUIndexIntrinsicOpLowering<gpu::BlockDimOp, ROCDL::BlockDimXOp,
ROCDL::BlockDimYOp, ROCDL::BlockDimZOp>,
GPUIndexIntrinsicOpLowering<gpu::BlockIdOp, ROCDL::BlockIdXOp,
ROCDL::BlockIdYOp, ROCDL::BlockIdZOp>,
GPUIndexIntrinsicOpLowering<gpu::GridDimOp, ROCDL::GridDimXOp,
ROCDL::GridDimYOp, ROCDL::GridDimZOp>,
GPUReturnOpLowering>(converter);
patterns.insert<GPUFuncOpLowering>(
converter, /*allocaAddrSpace=*/5,
Identifier::get(ROCDL::ROCDLDialect::getKernelFuncAttrName(),
&converter.getContext()));
patterns.insert<OpToFuncCallLowering<AbsFOp>>(converter, "__ocml_fabs_f32",
"__ocml_fabs_f64");
patterns.insert<OpToFuncCallLowering<math::AtanOp>>(
converter, "__ocml_atan_f32", "__ocml_atan_f64");
patterns.insert<OpToFuncCallLowering<math::Atan2Op>>(
converter, "__ocml_atan2_f32", "__ocml_atan2_f64");
patterns.insert<OpToFuncCallLowering<CeilFOp>>(converter, "__ocml_ceil_f32",
"__ocml_ceil_f64");
patterns.insert<OpToFuncCallLowering<math::CosOp>>(
converter, "__ocml_cos_f32", "__ocml_cos_f64");
patterns.insert<OpToFuncCallLowering<math::ExpOp>>(
converter, "__ocml_exp_f32", "__ocml_exp_f64");
patterns.insert<OpToFuncCallLowering<math::ExpM1Op>>(
converter, "__ocml_expm1_f32", "__ocml_expm1_f64");
patterns.insert<OpToFuncCallLowering<FloorFOp>>(converter, "__ocml_floor_f32",
"__ocml_floor_f64");
patterns.insert<OpToFuncCallLowering<math::LogOp>>(
converter, "__ocml_log_f32", "__ocml_log_f64");
patterns.insert<OpToFuncCallLowering<math::Log10Op>>(
converter, "__ocml_log10_f32", "__ocml_log10_f64");
patterns.insert<OpToFuncCallLowering<math::Log1pOp>>(
converter, "__ocml_log1p_f32", "__ocml_log1p_f64");
patterns.insert<OpToFuncCallLowering<math::Log2Op>>(
converter, "__ocml_log2_f32", "__ocml_log2_f64");
patterns.insert<OpToFuncCallLowering<math::PowFOp>>(
converter, "__ocml_pow_f32", "__ocml_pow_f64");
patterns.insert<OpToFuncCallLowering<math::RsqrtOp>>(
converter, "__ocml_rsqrt_f32", "__ocml_rsqrt_f64");
patterns.insert<OpToFuncCallLowering<math::SinOp>>(
converter, "__ocml_sin_f32", "__ocml_sin_f64");
patterns.insert<OpToFuncCallLowering<math::SqrtOp>>(
converter, "__ocml_sqrt_f32", "__ocml_sqrt_f64");
patterns.insert<OpToFuncCallLowering<math::TanhOp>>(
converter, "__ocml_tanh_f32", "__ocml_tanh_f64");
}
std::unique_ptr<OperationPass<gpu::GPUModuleOp>>
mlir::createLowerGpuOpsToROCDLOpsPass(unsigned indexBitwidth) {
return std::make_unique<LowerGpuOpsToROCDLOpsPass>(indexBitwidth);
}