xref: /llvm-project/mlir/lib/Conversion/GPUToROCDL/LowerGpuOpsToROCDLOps.cpp (revision 99ef9eebad51fbb5f73ffe747a529ea189f336b7)
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/GPUToROCDL/GPUToROCDLPass.h"
15 
16 #include "mlir/Conversion/ArithmeticToLLVM/ArithmeticToLLVM.h"
17 #include "mlir/Conversion/LLVMCommon/ConversionTarget.h"
18 #include "mlir/Conversion/LLVMCommon/LoweringOptions.h"
19 #include "mlir/Conversion/LLVMCommon/TypeConverter.h"
20 #include "mlir/Conversion/MemRefToLLVM/MemRefToLLVM.h"
21 #include "mlir/Conversion/StandardToLLVM/ConvertStandardToLLVM.h"
22 #include "mlir/Conversion/VectorToLLVM/ConvertVectorToLLVM.h"
23 #include "mlir/Conversion/VectorToROCDL/VectorToROCDL.h"
24 #include "mlir/Dialect/GPU/GPUDialect.h"
25 #include "mlir/Dialect/GPU/Passes.h"
26 #include "mlir/Dialect/LLVMIR/ROCDLDialect.h"
27 #include "mlir/Dialect/Math/IR/Math.h"
28 #include "mlir/Dialect/Vector/IR/VectorOps.h"
29 #include "mlir/Pass/Pass.h"
30 #include "mlir/Transforms/DialectConversion.h"
31 #include "mlir/Transforms/GreedyPatternRewriteDriver.h"
32 #include "llvm/Support/FormatVariadic.h"
33 
34 #include "../GPUCommon/GPUOpsLowering.h"
35 #include "../GPUCommon/IndexIntrinsicsOpLowering.h"
36 #include "../GPUCommon/OpToFuncCallLowering.h"
37 #include "../PassDetail.h"
38 
39 using namespace mlir;
40 
41 namespace {
42 
43 /// Import the GPU Ops to ROCDL Patterns.
44 #include "GPUToROCDL.cpp.inc"
45 
46 // A pass that replaces all occurrences of GPU device operations with their
47 // corresponding ROCDL equivalent.
48 //
49 // This pass only handles device code and is not meant to be run on GPU host
50 // code.
51 struct LowerGpuOpsToROCDLOpsPass
52     : public ConvertGpuOpsToROCDLOpsBase<LowerGpuOpsToROCDLOpsPass> {
53   LowerGpuOpsToROCDLOpsPass() = default;
54   LowerGpuOpsToROCDLOpsPass(unsigned indexBitwidth, gpu::amd::Runtime runtime) {
55     this->indexBitwidth = indexBitwidth;
56     this->runtime = runtime;
57   }
58 
59   void runOnOperation() override {
60     gpu::GPUModuleOp m = getOperation();
61 
62     /// Customize the bitwidth used for the device side index computations.
63     LowerToLLVMOptions options(
64         m.getContext(),
65         DataLayout(cast<DataLayoutOpInterface>(m.getOperation())));
66     options.emitCWrappers = true;
67     if (indexBitwidth != kDeriveIndexBitwidthFromDataLayout)
68       options.overrideIndexBitwidth(indexBitwidth);
69     LLVMTypeConverter converter(m.getContext(), options);
70 
71     RewritePatternSet patterns(m.getContext());
72     RewritePatternSet llvmPatterns(m.getContext());
73 
74     populateGpuRewritePatterns(patterns);
75     (void)applyPatternsAndFoldGreedily(m, std::move(patterns));
76 
77     mlir::arith::populateArithmeticToLLVMConversionPatterns(converter,
78                                                             llvmPatterns);
79     populateVectorToLLVMConversionPatterns(converter, llvmPatterns);
80     populateVectorToROCDLConversionPatterns(converter, llvmPatterns);
81     populateStdToLLVMConversionPatterns(converter, llvmPatterns);
82     populateMemRefToLLVMConversionPatterns(converter, llvmPatterns);
83     populateGpuToROCDLConversionPatterns(converter, llvmPatterns, runtime);
84     LLVMConversionTarget target(getContext());
85     configureGpuToROCDLConversionLegality(target);
86     if (failed(applyPartialConversion(m, target, std::move(llvmPatterns))))
87       signalPassFailure();
88   }
89 };
90 
91 } // namespace
92 
93 void mlir::configureGpuToROCDLConversionLegality(ConversionTarget &target) {
94   target.addIllegalOp<FuncOp>();
95   target.addLegalDialect<::mlir::LLVM::LLVMDialect>();
96   target.addLegalDialect<ROCDL::ROCDLDialect>();
97   target.addIllegalDialect<gpu::GPUDialect>();
98   target.addIllegalOp<LLVM::CosOp, LLVM::ExpOp, LLVM::Exp2Op, LLVM::FAbsOp,
99                       LLVM::FCeilOp, LLVM::FFloorOp, LLVM::LogOp, LLVM::Log10Op,
100                       LLVM::Log2Op, LLVM::PowOp, LLVM::SinOp, LLVM::SqrtOp>();
101 
102   // TODO: Remove once we support replacing non-root ops.
103   target.addLegalOp<gpu::YieldOp, gpu::GPUModuleOp, gpu::ModuleEndOp>();
104 }
105 
106 void mlir::populateGpuToROCDLConversionPatterns(
107     LLVMTypeConverter &converter, RewritePatternSet &patterns,
108     mlir::gpu::amd::Runtime runtime) {
109   using mlir::gpu::amd::Runtime;
110 
111   populateWithGenerated(patterns);
112   patterns
113       .add<GPUIndexIntrinsicOpLowering<gpu::ThreadIdOp, ROCDL::ThreadIdXOp,
114                                        ROCDL::ThreadIdYOp, ROCDL::ThreadIdZOp>,
115            GPUIndexIntrinsicOpLowering<gpu::BlockDimOp, ROCDL::BlockDimXOp,
116                                        ROCDL::BlockDimYOp, ROCDL::BlockDimZOp>,
117            GPUIndexIntrinsicOpLowering<gpu::BlockIdOp, ROCDL::BlockIdXOp,
118                                        ROCDL::BlockIdYOp, ROCDL::BlockIdZOp>,
119            GPUIndexIntrinsicOpLowering<gpu::GridDimOp, ROCDL::GridDimXOp,
120                                        ROCDL::GridDimYOp, ROCDL::GridDimZOp>,
121            GPUReturnOpLowering>(converter);
122   patterns.add<GPUFuncOpLowering>(
123       converter, /*allocaAddrSpace=*/5,
124       StringAttr::get(&converter.getContext(),
125                       ROCDL::ROCDLDialect::getKernelFuncAttrName()));
126   if (Runtime::HIP == runtime) {
127     patterns.add<GPUPrintfOpToHIPLowering>(converter);
128   } else if (Runtime::OpenCL == runtime) {
129     // Use address space = 4 to match the OpenCL definition of printf()
130     patterns.add<GPUPrintfOpToLLVMCallLowering>(converter, /*addressSpace=*/4);
131   }
132 
133   patterns.add<OpToFuncCallLowering<math::AbsOp>>(converter, "__ocml_fabs_f32",
134                                                   "__ocml_fabs_f64");
135   patterns.add<OpToFuncCallLowering<math::AtanOp>>(converter, "__ocml_atan_f32",
136                                                    "__ocml_atan_f64");
137   patterns.add<OpToFuncCallLowering<math::Atan2Op>>(
138       converter, "__ocml_atan2_f32", "__ocml_atan2_f64");
139   patterns.add<OpToFuncCallLowering<math::CeilOp>>(converter, "__ocml_ceil_f32",
140                                                    "__ocml_ceil_f64");
141   patterns.add<OpToFuncCallLowering<math::CosOp>>(converter, "__ocml_cos_f32",
142                                                   "__ocml_cos_f64");
143   patterns.add<OpToFuncCallLowering<math::ExpOp>>(converter, "__ocml_exp_f32",
144                                                   "__ocml_exp_f64");
145   patterns.add<OpToFuncCallLowering<math::Exp2Op>>(converter, "__ocml_exp2_f32",
146                                                    "__ocml_exp2_f64");
147   patterns.add<OpToFuncCallLowering<math::ExpM1Op>>(
148       converter, "__ocml_expm1_f32", "__ocml_expm1_f64");
149   patterns.add<OpToFuncCallLowering<math::FloorOp>>(
150       converter, "__ocml_floor_f32", "__ocml_floor_f64");
151   patterns.add<OpToFuncCallLowering<math::LogOp>>(converter, "__ocml_log_f32",
152                                                   "__ocml_log_f64");
153   patterns.add<OpToFuncCallLowering<math::Log10Op>>(
154       converter, "__ocml_log10_f32", "__ocml_log10_f64");
155   patterns.add<OpToFuncCallLowering<math::Log1pOp>>(
156       converter, "__ocml_log1p_f32", "__ocml_log1p_f64");
157   patterns.add<OpToFuncCallLowering<math::Log2Op>>(converter, "__ocml_log2_f32",
158                                                    "__ocml_log2_f64");
159   patterns.add<OpToFuncCallLowering<math::PowFOp>>(converter, "__ocml_pow_f32",
160                                                    "__ocml_pow_f64");
161   patterns.add<OpToFuncCallLowering<math::RsqrtOp>>(
162       converter, "__ocml_rsqrt_f32", "__ocml_rsqrt_f64");
163   patterns.add<OpToFuncCallLowering<math::SinOp>>(converter, "__ocml_sin_f32",
164                                                   "__ocml_sin_f64");
165   patterns.add<OpToFuncCallLowering<math::SqrtOp>>(converter, "__ocml_sqrt_f32",
166                                                    "__ocml_sqrt_f64");
167   patterns.add<OpToFuncCallLowering<math::TanhOp>>(converter, "__ocml_tanh_f32",
168                                                    "__ocml_tanh_f64");
169 }
170 
171 std::unique_ptr<OperationPass<gpu::GPUModuleOp>>
172 mlir::createLowerGpuOpsToROCDLOpsPass(unsigned indexBitwidth,
173                                       gpu::amd::Runtime runtime) {
174   return std::make_unique<LowerGpuOpsToROCDLOpsPass>(indexBitwidth, runtime);
175 }
176