1 //===- LowerGpuOpsToROCDLOps.cpp - MLIR GPU to ROCDL lowering passes ------===//
2 //
3 // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
4 // See https://llvm.org/LICENSE.txt for license information.
5 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
6 //
7 //===----------------------------------------------------------------------===//
8 //
9 // This file implements a pass to generate ROCDLIR operations for higher-level
10 // GPU operations.
11 //
12 //===----------------------------------------------------------------------===//
13
14 #include "mlir/Conversion/ControlFlowToLLVM/ControlFlowToLLVM.h"
15 #include "mlir/Conversion/GPUToROCDL/GPUToROCDLPass.h"
16
17 #include "mlir/Conversion/AMDGPUToROCDL/AMDGPUToROCDL.h"
18 #include "mlir/Conversion/ArithmeticToLLVM/ArithmeticToLLVM.h"
19 #include "mlir/Conversion/FuncToLLVM/ConvertFuncToLLVM.h"
20 #include "mlir/Conversion/LLVMCommon/ConversionTarget.h"
21 #include "mlir/Conversion/LLVMCommon/LoweringOptions.h"
22 #include "mlir/Conversion/LLVMCommon/Pattern.h"
23 #include "mlir/Conversion/LLVMCommon/TypeConverter.h"
24 #include "mlir/Conversion/MemRefToLLVM/MemRefToLLVM.h"
25 #include "mlir/Conversion/VectorToLLVM/ConvertVectorToLLVM.h"
26 #include "mlir/Dialect/Func/IR/FuncOps.h"
27 #include "mlir/Dialect/GPU/IR/GPUDialect.h"
28 #include "mlir/Dialect/GPU/Transforms/Passes.h"
29 #include "mlir/Dialect/LLVMIR/ROCDLDialect.h"
30 #include "mlir/Dialect/Math/IR/Math.h"
31 #include "mlir/Dialect/Vector/IR/VectorOps.h"
32 #include "mlir/Pass/Pass.h"
33 #include "mlir/Transforms/DialectConversion.h"
34 #include "mlir/Transforms/GreedyPatternRewriteDriver.h"
35 #include "llvm/Support/FormatVariadic.h"
36
37 #include "../GPUCommon/GPUOpsLowering.h"
38 #include "../GPUCommon/IndexIntrinsicsOpLowering.h"
39 #include "../GPUCommon/OpToFuncCallLowering.h"
40 #include "../PassDetail.h"
41
42 using namespace mlir;
43
44 namespace {
45
46 /// Import the GPU Ops to ROCDL Patterns.
47 #include "GPUToROCDL.cpp.inc"
48
49 // A pass that replaces all occurrences of GPU device operations with their
50 // corresponding ROCDL equivalent.
51 //
52 // This pass only handles device code and is not meant to be run on GPU host
53 // code.
54 struct LowerGpuOpsToROCDLOpsPass
55 : public ConvertGpuOpsToROCDLOpsBase<LowerGpuOpsToROCDLOpsPass> {
56 LowerGpuOpsToROCDLOpsPass() = default;
LowerGpuOpsToROCDLOpsPass__anon24995b700111::LowerGpuOpsToROCDLOpsPass57 LowerGpuOpsToROCDLOpsPass(const std::string &chipset, unsigned indexBitwidth,
58 gpu::amd::Runtime runtime) {
59 this->chipset = chipset;
60 this->indexBitwidth = indexBitwidth;
61 this->runtime = runtime;
62 }
63
runOnOperation__anon24995b700111::LowerGpuOpsToROCDLOpsPass64 void runOnOperation() override {
65 gpu::GPUModuleOp m = getOperation();
66 MLIRContext *ctx = m.getContext();
67
68 // Request C wrapper emission.
69 for (auto func : m.getOps<func::FuncOp>()) {
70 func->setAttr(LLVM::LLVMDialect::getEmitCWrapperAttrName(),
71 UnitAttr::get(ctx));
72 }
73
74 FailureOr<amdgpu::Chipset> maybeChipset = amdgpu::Chipset::parse(chipset);
75 if (failed(maybeChipset)) {
76 emitError(UnknownLoc::get(ctx), "Invalid chipset name: " + chipset);
77 return signalPassFailure();
78 }
79
80 /// Customize the bitwidth used for the device side index computations.
81 LowerToLLVMOptions options(
82 ctx, DataLayout(cast<DataLayoutOpInterface>(m.getOperation())));
83 if (indexBitwidth != kDeriveIndexBitwidthFromDataLayout)
84 options.overrideIndexBitwidth(indexBitwidth);
85 LLVMTypeConverter converter(ctx, options);
86
87 RewritePatternSet patterns(ctx);
88 RewritePatternSet llvmPatterns(ctx);
89
90 populateGpuRewritePatterns(patterns);
91 (void)applyPatternsAndFoldGreedily(m, std::move(patterns));
92
93 mlir::arith::populateArithmeticToLLVMConversionPatterns(converter,
94 llvmPatterns);
95 populateAMDGPUToROCDLConversionPatterns(converter, llvmPatterns,
96 *maybeChipset);
97 populateVectorToLLVMConversionPatterns(converter, llvmPatterns);
98 cf::populateControlFlowToLLVMConversionPatterns(converter, llvmPatterns);
99 populateFuncToLLVMConversionPatterns(converter, llvmPatterns);
100 populateMemRefToLLVMConversionPatterns(converter, llvmPatterns);
101 populateGpuToROCDLConversionPatterns(converter, llvmPatterns, runtime);
102 LLVMConversionTarget target(getContext());
103 configureGpuToROCDLConversionLegality(target);
104 if (failed(applyPartialConversion(m, target, std::move(llvmPatterns))))
105 signalPassFailure();
106 }
107 };
108
109 } // namespace
110
configureGpuToROCDLConversionLegality(ConversionTarget & target)111 void mlir::configureGpuToROCDLConversionLegality(ConversionTarget &target) {
112 target.addIllegalOp<func::FuncOp>();
113 target.addLegalDialect<::mlir::LLVM::LLVMDialect>();
114 target.addLegalDialect<ROCDL::ROCDLDialect>();
115 target.addIllegalDialect<gpu::GPUDialect>();
116 target.addIllegalOp<LLVM::CosOp, LLVM::ExpOp, LLVM::Exp2Op, LLVM::FAbsOp,
117 LLVM::FCeilOp, LLVM::FFloorOp, LLVM::LogOp, LLVM::Log10Op,
118 LLVM::Log2Op, LLVM::PowOp, LLVM::SinOp, LLVM::SqrtOp>();
119
120 // TODO: Remove once we support replacing non-root ops.
121 target.addLegalOp<gpu::YieldOp, gpu::GPUModuleOp, gpu::ModuleEndOp>();
122 }
123
populateGpuToROCDLConversionPatterns(LLVMTypeConverter & converter,RewritePatternSet & patterns,mlir::gpu::amd::Runtime runtime)124 void mlir::populateGpuToROCDLConversionPatterns(
125 LLVMTypeConverter &converter, RewritePatternSet &patterns,
126 mlir::gpu::amd::Runtime runtime) {
127 using mlir::gpu::amd::Runtime;
128
129 populateWithGenerated(patterns);
130 patterns
131 .add<GPUIndexIntrinsicOpLowering<gpu::ThreadIdOp, ROCDL::ThreadIdXOp,
132 ROCDL::ThreadIdYOp, ROCDL::ThreadIdZOp>,
133 GPUIndexIntrinsicOpLowering<gpu::BlockDimOp, ROCDL::BlockDimXOp,
134 ROCDL::BlockDimYOp, ROCDL::BlockDimZOp>,
135 GPUIndexIntrinsicOpLowering<gpu::BlockIdOp, ROCDL::BlockIdXOp,
136 ROCDL::BlockIdYOp, ROCDL::BlockIdZOp>,
137 GPUIndexIntrinsicOpLowering<gpu::GridDimOp, ROCDL::GridDimXOp,
138 ROCDL::GridDimYOp, ROCDL::GridDimZOp>,
139 GPUReturnOpLowering>(converter);
140 patterns.add<GPUFuncOpLowering>(
141 converter, /*allocaAddrSpace=*/5,
142 StringAttr::get(&converter.getContext(),
143 ROCDL::ROCDLDialect::getKernelFuncAttrName()));
144 if (Runtime::HIP == runtime) {
145 patterns.add<GPUPrintfOpToHIPLowering>(converter);
146 } else if (Runtime::OpenCL == runtime) {
147 // Use address space = 4 to match the OpenCL definition of printf()
148 patterns.add<GPUPrintfOpToLLVMCallLowering>(converter, /*addressSpace=*/4);
149 }
150
151 patterns.add<OpToFuncCallLowering<math::AbsOp>>(converter, "__ocml_fabs_f32",
152 "__ocml_fabs_f64");
153 patterns.add<OpToFuncCallLowering<math::AtanOp>>(converter, "__ocml_atan_f32",
154 "__ocml_atan_f64");
155 patterns.add<OpToFuncCallLowering<math::Atan2Op>>(
156 converter, "__ocml_atan2_f32", "__ocml_atan2_f64");
157 patterns.add<OpToFuncCallLowering<math::CeilOp>>(converter, "__ocml_ceil_f32",
158 "__ocml_ceil_f64");
159 patterns.add<OpToFuncCallLowering<math::CosOp>>(converter, "__ocml_cos_f32",
160 "__ocml_cos_f64");
161 patterns.add<OpToFuncCallLowering<math::ExpOp>>(converter, "__ocml_exp_f32",
162 "__ocml_exp_f64");
163 patterns.add<OpToFuncCallLowering<math::Exp2Op>>(converter, "__ocml_exp2_f32",
164 "__ocml_exp2_f64");
165 patterns.add<OpToFuncCallLowering<math::ExpM1Op>>(
166 converter, "__ocml_expm1_f32", "__ocml_expm1_f64");
167 patterns.add<OpToFuncCallLowering<math::FloorOp>>(
168 converter, "__ocml_floor_f32", "__ocml_floor_f64");
169 patterns.add<OpToFuncCallLowering<math::LogOp>>(converter, "__ocml_log_f32",
170 "__ocml_log_f64");
171 patterns.add<OpToFuncCallLowering<math::Log10Op>>(
172 converter, "__ocml_log10_f32", "__ocml_log10_f64");
173 patterns.add<OpToFuncCallLowering<math::Log1pOp>>(
174 converter, "__ocml_log1p_f32", "__ocml_log1p_f64");
175 patterns.add<OpToFuncCallLowering<math::Log2Op>>(converter, "__ocml_log2_f32",
176 "__ocml_log2_f64");
177 patterns.add<OpToFuncCallLowering<math::PowFOp>>(converter, "__ocml_pow_f32",
178 "__ocml_pow_f64");
179 patterns.add<OpToFuncCallLowering<math::RsqrtOp>>(
180 converter, "__ocml_rsqrt_f32", "__ocml_rsqrt_f64");
181 patterns.add<OpToFuncCallLowering<math::SinOp>>(converter, "__ocml_sin_f32",
182 "__ocml_sin_f64");
183 patterns.add<OpToFuncCallLowering<math::SqrtOp>>(converter, "__ocml_sqrt_f32",
184 "__ocml_sqrt_f64");
185 patterns.add<OpToFuncCallLowering<math::TanhOp>>(converter, "__ocml_tanh_f32",
186 "__ocml_tanh_f64");
187 }
188
189 std::unique_ptr<OperationPass<gpu::GPUModuleOp>>
createLowerGpuOpsToROCDLOpsPass(const std::string & chipset,unsigned indexBitwidth,gpu::amd::Runtime runtime)190 mlir::createLowerGpuOpsToROCDLOpsPass(const std::string &chipset,
191 unsigned indexBitwidth,
192 gpu::amd::Runtime runtime) {
193 return std::make_unique<LowerGpuOpsToROCDLOpsPass>(chipset, indexBitwidth,
194 runtime);
195 }
196