1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146
|
//===-- MathToROCDL.cpp - conversion from Math to rocdl calls -------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
#include "mlir/Conversion/MathToROCDL/MathToROCDL.h"
#include "mlir/Conversion/LLVMCommon/LoweringOptions.h"
#include "mlir/Conversion/LLVMCommon/TypeConverter.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"
#include "mlir/Dialect/LLVMIR/LLVMDialect.h"
#include "mlir/Dialect/LLVMIR/ROCDLDialect.h"
#include "mlir/Dialect/Math/IR/Math.h"
#include "mlir/Dialect/Utils/IndexingUtils.h"
#include "mlir/Dialect/Vector/IR/VectorOps.h"
#include "mlir/IR/BuiltinDialect.h"
#include "mlir/IR/PatternMatch.h"
#include "mlir/Pass/Pass.h"
#include "mlir/Transforms/DialectConversion.h"
#include "../GPUCommon/GPUOpsLowering.h"
#include "../GPUCommon/IndexIntrinsicsOpLowering.h"
#include "../GPUCommon/OpToFuncCallLowering.h"
#include "mlir/Conversion/GPUCommon/GPUCommonPass.h"
namespace mlir {
#define GEN_PASS_DEF_CONVERTMATHTOROCDL
#include "mlir/Conversion/Passes.h.inc"
} // namespace mlir
using namespace mlir;
#define DEBUG_TYPE "math-to-rocdl"
#define DBGS() (llvm::dbgs() << "[" DEBUG_TYPE "]: ")
template <typename OpTy>
static void populateOpPatterns(LLVMTypeConverter &converter,
RewritePatternSet &patterns, StringRef f32Func,
StringRef f64Func) {
patterns.add<ScalarizeVectorOpLowering<OpTy>>(converter);
patterns.add<OpToFuncCallLowering<OpTy>>(converter, f32Func, f64Func);
}
void mlir::populateMathToROCDLConversionPatterns(LLVMTypeConverter &converter,
RewritePatternSet &patterns) {
// Handled by mathToLLVM: math::AbsIOp
// Handled by mathToLLVM: math::CopySignOp
// Handled by mathToLLVM: math::CountLeadingZerosOp
// Handled by mathToLLVM: math::CountTrailingZerosOp
// Handled by mathToLLVM: math::CgPopOp
// Handled by mathToLLVM: math::FmaOp
// FIXME: math::IPowIOp
// FIXME: math::FPowIOp
// Handled by mathToLLVM: math::RoundEvenOp
// Handled by mathToLLVM: math::RoundOp
// Handled by mathToLLVM: math::TruncOp
populateOpPatterns<math::AbsFOp>(converter, patterns, "__ocml_fabs_f32",
"__ocml_fabs_f64");
populateOpPatterns<math::AcosOp>(converter, patterns, "__ocml_acos_f32",
"__ocml_acos_f64");
populateOpPatterns<math::AcoshOp>(converter, patterns, "__ocml_acosh_f32",
"__ocml_acosh_f64");
populateOpPatterns<math::AsinOp>(converter, patterns, "__ocml_asin_f32",
"__ocml_asin_f64");
populateOpPatterns<math::AsinhOp>(converter, patterns, "__ocml_asinh_f32",
"__ocml_asinh_f64");
populateOpPatterns<math::AtanOp>(converter, patterns, "__ocml_atan_f32",
"__ocml_atan_f64");
populateOpPatterns<math::AtanhOp>(converter, patterns, "__ocml_atanh_f32",
"__ocml_atanh_f64");
populateOpPatterns<math::Atan2Op>(converter, patterns, "__ocml_atan2_f32",
"__ocml_atan2_f64");
populateOpPatterns<math::CbrtOp>(converter, patterns, "__ocml_cbrt_f32",
"__ocml_cbrt_f64");
populateOpPatterns<math::CeilOp>(converter, patterns, "__ocml_ceil_f32",
"__ocml_ceil_f64");
populateOpPatterns<math::CosOp>(converter, patterns, "__ocml_cos_f32",
"__ocml_cos_f64");
populateOpPatterns<math::CoshOp>(converter, patterns, "__ocml_cosh_f32",
"__ocml_cosh_f64");
populateOpPatterns<math::SinhOp>(converter, patterns, "__ocml_sinh_f32",
"__ocml_sinh_f64");
populateOpPatterns<math::ExpOp>(converter, patterns, "__ocml_exp_f32",
"__ocml_exp_f64");
populateOpPatterns<math::Exp2Op>(converter, patterns, "__ocml_exp2_f32",
"__ocml_exp2_f64");
populateOpPatterns<math::ExpM1Op>(converter, patterns, "__ocml_expm1_f32",
"__ocml_expm1_f64");
populateOpPatterns<math::FloorOp>(converter, patterns, "__ocml_floor_f32",
"__ocml_floor_f64");
populateOpPatterns<math::LogOp>(converter, patterns, "__ocml_log_f32",
"__ocml_log_f64");
populateOpPatterns<math::Log10Op>(converter, patterns, "__ocml_log10_f32",
"__ocml_log10_f64");
populateOpPatterns<math::Log1pOp>(converter, patterns, "__ocml_log1p_f32",
"__ocml_log1p_f64");
populateOpPatterns<math::Log2Op>(converter, patterns, "__ocml_log2_f32",
"__ocml_log2_f64");
populateOpPatterns<math::PowFOp>(converter, patterns, "__ocml_pow_f32",
"__ocml_pow_f64");
populateOpPatterns<math::RsqrtOp>(converter, patterns, "__ocml_rsqrt_f32",
"__ocml_rsqrt_f64");
populateOpPatterns<math::SinOp>(converter, patterns, "__ocml_sin_f32",
"__ocml_sin_f64");
populateOpPatterns<math::SqrtOp>(converter, patterns, "__ocml_sqrt_f32",
"__ocml_sqrt_f64");
populateOpPatterns<math::TanhOp>(converter, patterns, "__ocml_tanh_f32",
"__ocml_tanh_f64");
populateOpPatterns<math::TanOp>(converter, patterns, "__ocml_tan_f32",
"__ocml_tan_f64");
populateOpPatterns<math::ErfOp>(converter, patterns, "__ocml_erf_f32",
"__ocml_erf_f64");
// Single arith pattern that needs a ROCDL call, probably not
// worth creating a separate pass for it.
populateOpPatterns<arith::RemFOp>(converter, patterns, "__ocml_fmod_f32",
"__ocml_fmod_f64");
}
namespace {
struct ConvertMathToROCDLPass
: public impl::ConvertMathToROCDLBase<ConvertMathToROCDLPass> {
ConvertMathToROCDLPass() = default;
void runOnOperation() override;
};
} // namespace
void ConvertMathToROCDLPass::runOnOperation() {
auto m = getOperation();
MLIRContext *ctx = m.getContext();
RewritePatternSet patterns(&getContext());
LowerToLLVMOptions options(ctx, DataLayout(m));
LLVMTypeConverter converter(ctx, options);
populateMathToROCDLConversionPatterns(converter, patterns);
ConversionTarget target(getContext());
target.addLegalDialect<BuiltinDialect, func::FuncDialect,
vector::VectorDialect, LLVM::LLVMDialect>();
target.addIllegalOp<LLVM::CosOp, LLVM::ExpOp, LLVM::Exp2Op, LLVM::FAbsOp,
LLVM::FCeilOp, LLVM::FFloorOp, LLVM::FRemOp, LLVM::LogOp,
LLVM::Log10Op, LLVM::Log2Op, LLVM::PowOp, LLVM::SinOp,
LLVM::SqrtOp>();
if (failed(applyPartialConversion(m, target, std::move(patterns))))
signalPassFailure();
}
|