MLIR  20.0.0git
MathToROCDL.cpp
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1 //===-- MathToROCDL.cpp - conversion from Math to rocdl calls -------------===//
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 
18 #include "mlir/IR/BuiltinDialect.h"
19 #include "mlir/IR/PatternMatch.h"
20 #include "mlir/Pass/Pass.h"
22 
23 #include "../GPUCommon/GPUOpsLowering.h"
24 #include "../GPUCommon/IndexIntrinsicsOpLowering.h"
25 #include "../GPUCommon/OpToFuncCallLowering.h"
27 
28 namespace mlir {
29 #define GEN_PASS_DEF_CONVERTMATHTOROCDL
30 #include "mlir/Conversion/Passes.h.inc"
31 } // namespace mlir
32 
33 using namespace mlir;
34 
35 #define DEBUG_TYPE "math-to-rocdl"
36 #define DBGS() (llvm::dbgs() << "[" DEBUG_TYPE "]: ")
37 
38 template <typename OpTy>
39 static void populateOpPatterns(const LLVMTypeConverter &converter,
40  RewritePatternSet &patterns, StringRef f32Func,
41  StringRef f64Func, StringRef f16Func,
42  StringRef f32ApproxFunc = "") {
44  patterns.add<OpToFuncCallLowering<OpTy>>(converter, f32Func, f64Func,
45  f32ApproxFunc, f16Func);
46 }
47 
49  const LLVMTypeConverter &converter, RewritePatternSet &patterns) {
50  // Handled by mathToLLVM: math::AbsIOp
51  // Handled by mathToLLVM: math::AbsFOp
52  // Handled by mathToLLVM: math::CopySignOp
53  // Handled by mathToLLVM: math::CountLeadingZerosOp
54  // Handled by mathToLLVM: math::CountTrailingZerosOp
55  // Handled by mathToLLVM: math::CgPopOp
56  // Handled by mathToLLVM: math::ExpOp (32-bit only)
57  // Handled by mathToLLVM: math::FmaOp
58  // Handled by mathToLLVM: math::LogOp (32-bit only)
59  // FIXME: math::IPowIOp
60  // Handled by mathToLLVM: math::RoundEvenOp
61  // Handled by mathToLLVM: math::RoundOp
62  // Handled by mathToLLVM: math::SqrtOp
63  // Handled by mathToLLVM: math::TruncOp
64  populateOpPatterns<math::AcosOp>(converter, patterns, "__ocml_acos_f32",
65  "__ocml_acos_f64", "__ocml_acos_f16");
66  populateOpPatterns<math::AcoshOp>(converter, patterns, "__ocml_acosh_f32",
67  "__ocml_acosh_f64", "__ocml_acosh_f16");
68  populateOpPatterns<math::AsinOp>(converter, patterns, "__ocml_asin_f32",
69  "__ocml_asin_f64", "__ocml_asin_f16");
70  populateOpPatterns<math::AsinhOp>(converter, patterns, "__ocml_asinh_f32",
71  "__ocml_asinh_f64", "__ocml_asinh_f16");
72  populateOpPatterns<math::AtanOp>(converter, patterns, "__ocml_atan_f32",
73  "__ocml_atan_f64", "__ocml_atan_f16");
74  populateOpPatterns<math::AtanhOp>(converter, patterns, "__ocml_atanh_f32",
75  "__ocml_atanh_f64", "__ocml_atanh_f16");
76  populateOpPatterns<math::Atan2Op>(converter, patterns, "__ocml_atan2_f32",
77  "__ocml_atan2_f64", "__ocml_atan2_f16");
78  populateOpPatterns<math::CbrtOp>(converter, patterns, "__ocml_cbrt_f32",
79  "__ocml_cbrt_f64", "__ocml_cbrt_f16");
80  populateOpPatterns<math::CeilOp>(converter, patterns, "__ocml_ceil_f32",
81  "__ocml_ceil_f64", "__ocml_ceil_f16");
82  populateOpPatterns<math::CosOp>(converter, patterns, "__ocml_cos_f32",
83  "__ocml_cos_f64", "__ocml_cos_f16");
84  populateOpPatterns<math::CoshOp>(converter, patterns, "__ocml_cosh_f32",
85  "__ocml_cosh_f64", "__ocml_cosh_f16");
86  populateOpPatterns<math::SinhOp>(converter, patterns, "__ocml_sinh_f32",
87  "__ocml_sinh_f64", "__ocml_sinh_f16");
88  populateOpPatterns<math::ExpOp>(converter, patterns, "", "__ocml_exp_f64",
89  "__ocml_exp_f16");
90  populateOpPatterns<math::Exp2Op>(converter, patterns, "__ocml_exp2_f32",
91  "__ocml_exp2_f64", "__ocml_exp2_f16");
92  populateOpPatterns<math::ExpM1Op>(converter, patterns, "__ocml_expm1_f32",
93  "__ocml_expm1_f64", "__ocml_expm1_f16");
94  populateOpPatterns<math::FloorOp>(converter, patterns, "__ocml_floor_f32",
95  "__ocml_floor_f64", "__ocml_floor_f16");
96  populateOpPatterns<math::LogOp>(converter, patterns, "", "__ocml_log_f64",
97  "__ocml_log_f16");
98  populateOpPatterns<math::Log10Op>(converter, patterns, "__ocml_log10_f32",
99  "__ocml_log10_f64", "__ocml_log10_f16");
100  populateOpPatterns<math::Log1pOp>(converter, patterns, "__ocml_log1p_f32",
101  "__ocml_log1p_f64", "__ocml_log1p_f16");
102  populateOpPatterns<math::Log2Op>(converter, patterns, "__ocml_log2_f32",
103  "__ocml_log2_f64", "__ocml_log2_f16");
104  populateOpPatterns<math::PowFOp>(converter, patterns, "__ocml_pow_f32",
105  "__ocml_pow_f64", "__ocml_pow_f16");
106  populateOpPatterns<math::RsqrtOp>(converter, patterns, "__ocml_rsqrt_f32",
107  "__ocml_rsqrt_f64", "__ocml_rsqrt_f16");
108  populateOpPatterns<math::SinOp>(converter, patterns, "__ocml_sin_f32",
109  "__ocml_sin_f64", "__ocml_sin_f16");
110  populateOpPatterns<math::TanhOp>(converter, patterns, "__ocml_tanh_f32",
111  "__ocml_tanh_f64", "__ocml_tanh_f16");
112  populateOpPatterns<math::TanOp>(converter, patterns, "__ocml_tan_f32",
113  "__ocml_tan_f64", "__ocml_tan_f16");
114  populateOpPatterns<math::ErfOp>(converter, patterns, "__ocml_erf_f32",
115  "__ocml_erf_f64", "__ocml_erf_f16");
116  populateOpPatterns<math::FPowIOp>(converter, patterns, "__ocml_pown_f32",
117  "__ocml_pown_f64", "__ocml_pown_f16");
118  // Single arith pattern that needs a ROCDL call, probably not
119  // worth creating a separate pass for it.
120  populateOpPatterns<arith::RemFOp>(converter, patterns, "__ocml_fmod_f32",
121  "__ocml_fmod_f64", "__ocml_fmod_f16");
122 }
123 
124 namespace {
125 struct ConvertMathToROCDLPass
126  : public impl::ConvertMathToROCDLBase<ConvertMathToROCDLPass> {
127  ConvertMathToROCDLPass() = default;
128  void runOnOperation() override;
129 };
130 } // namespace
131 
132 void ConvertMathToROCDLPass::runOnOperation() {
133  auto m = getOperation();
134  MLIRContext *ctx = m.getContext();
135 
138  LLVMTypeConverter converter(ctx, options);
140  ConversionTarget target(getContext());
141  target.addLegalDialect<BuiltinDialect, func::FuncDialect,
142  vector::VectorDialect, LLVM::LLVMDialect>();
143  target.addIllegalOp<LLVM::CosOp, LLVM::ExpOp, LLVM::Exp2Op, LLVM::FAbsOp,
144  LLVM::FCeilOp, LLVM::FFloorOp, LLVM::FRemOp, LLVM::LogOp,
145  LLVM::Log10Op, LLVM::Log2Op, LLVM::PowOp, LLVM::SinOp,
146  LLVM::SqrtOp>();
147  if (failed(applyPartialConversion(m, target, std::move(patterns))))
148  signalPassFailure();
149 }
static MLIRContext * getContext(OpFoldResult val)
static void populateOpPatterns(const LLVMTypeConverter &converter, RewritePatternSet &patterns, StringRef f32Func, StringRef f64Func, StringRef f16Func, StringRef f32ApproxFunc="")
Definition: MathToROCDL.cpp:39
static llvm::ManagedStatic< PassManagerOptions > options
This class describes a specific conversion target.
The main mechanism for performing data layout queries.
Conversion from types to the LLVM IR dialect.
Definition: TypeConverter.h:35
Options to control the LLVM lowering.
MLIRContext is the top-level object for a collection of MLIR operations.
Definition: MLIRContext.h:60
Include the generated interface declarations.
const FrozenRewritePatternSet & patterns
LogicalResult applyPartialConversion(ArrayRef< Operation * > ops, const ConversionTarget &target, const FrozenRewritePatternSet &patterns, ConversionConfig config=ConversionConfig())
Below we define several entry points for operation conversion.
void populateMathToROCDLConversionPatterns(const LLVMTypeConverter &converter, RewritePatternSet &patterns)
Populate the given list with patterns that convert from Math to ROCDL calls.
Definition: MathToROCDL.cpp:48
Rewriting that replace SourceOp with a CallOp to f32Func or f64Func or f32ApproxFunc or f16Func depen...
Rewriting that unrolls SourceOp to scalars if it's operating on vectors.