32389d0c2e
Also, it seems Khronos has changed html spec format so small adjustment to script was needed. Base op parsing is also probably broken. Differential Revision: https://reviews.llvm.org/D119678
123 lines
5.4 KiB
C++
123 lines
5.4 KiB
C++
//===- MathToSPIRV.cpp - Math to SPIR-V Patterns --------------------------===//
|
|
//
|
|
// 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 patterns to convert Math dialect to SPIR-V dialect.
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#include "../SPIRVCommon/Pattern.h"
|
|
#include "mlir/Dialect/Math/IR/Math.h"
|
|
#include "mlir/Dialect/SPIRV/IR/SPIRVDialect.h"
|
|
#include "mlir/Dialect/SPIRV/IR/SPIRVOps.h"
|
|
#include "mlir/Dialect/SPIRV/Transforms/SPIRVConversion.h"
|
|
#include "llvm/Support/Debug.h"
|
|
|
|
#define DEBUG_TYPE "math-to-spirv-pattern"
|
|
|
|
using namespace mlir;
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// Operation conversion
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
// Note that DRR cannot be used for the patterns in this file: we may need to
|
|
// convert type along the way, which requires ConversionPattern. DRR generates
|
|
// normal RewritePattern.
|
|
|
|
namespace {
|
|
/// Converts math.expm1 to SPIR-V ops.
|
|
///
|
|
/// SPIR-V does not have a direct operations for exp(x)-1. Explicitly lower to
|
|
/// these operations.
|
|
template <typename ExpOp>
|
|
class ExpM1OpPattern final : public OpConversionPattern<math::ExpM1Op> {
|
|
public:
|
|
using OpConversionPattern<math::ExpM1Op>::OpConversionPattern;
|
|
|
|
LogicalResult
|
|
matchAndRewrite(math::ExpM1Op operation, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const override {
|
|
assert(adaptor.getOperands().size() == 1);
|
|
Location loc = operation.getLoc();
|
|
auto type = this->getTypeConverter()->convertType(operation.getType());
|
|
auto exp = rewriter.create<ExpOp>(loc, type, adaptor.getOperand());
|
|
auto one = spirv::ConstantOp::getOne(type, loc, rewriter);
|
|
rewriter.replaceOpWithNewOp<spirv::FSubOp>(operation, exp, one);
|
|
return success();
|
|
}
|
|
};
|
|
|
|
/// Converts math.log1p to SPIR-V ops.
|
|
///
|
|
/// SPIR-V does not have a direct operations for log(1+x). Explicitly lower to
|
|
/// these operations.
|
|
template <typename LogOp>
|
|
class Log1pOpPattern final : public OpConversionPattern<math::Log1pOp> {
|
|
public:
|
|
using OpConversionPattern<math::Log1pOp>::OpConversionPattern;
|
|
|
|
LogicalResult
|
|
matchAndRewrite(math::Log1pOp operation, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const override {
|
|
assert(adaptor.getOperands().size() == 1);
|
|
Location loc = operation.getLoc();
|
|
auto type = this->getTypeConverter()->convertType(operation.getType());
|
|
auto one = spirv::ConstantOp::getOne(type, operation.getLoc(), rewriter);
|
|
auto onePlus =
|
|
rewriter.create<spirv::FAddOp>(loc, one, adaptor.getOperand());
|
|
rewriter.replaceOpWithNewOp<LogOp>(operation, type, onePlus);
|
|
return success();
|
|
}
|
|
};
|
|
} // namespace
|
|
|
|
//===----------------------------------------------------------------------===//
|
|
// Pattern population
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
namespace mlir {
|
|
void populateMathToSPIRVPatterns(SPIRVTypeConverter &typeConverter,
|
|
RewritePatternSet &patterns) {
|
|
|
|
// GLSL patterns
|
|
patterns
|
|
.add<Log1pOpPattern<spirv::GLSLLogOp>, ExpM1OpPattern<spirv::GLSLExpOp>,
|
|
spirv::ElementwiseOpPattern<math::AbsOp, spirv::GLSLFAbsOp>,
|
|
spirv::ElementwiseOpPattern<math::CeilOp, spirv::GLSLCeilOp>,
|
|
spirv::ElementwiseOpPattern<math::CosOp, spirv::GLSLCosOp>,
|
|
spirv::ElementwiseOpPattern<math::ExpOp, spirv::GLSLExpOp>,
|
|
spirv::ElementwiseOpPattern<math::FloorOp, spirv::GLSLFloorOp>,
|
|
spirv::ElementwiseOpPattern<math::FmaOp, spirv::GLSLFmaOp>,
|
|
spirv::ElementwiseOpPattern<math::LogOp, spirv::GLSLLogOp>,
|
|
spirv::ElementwiseOpPattern<math::PowFOp, spirv::GLSLPowOp>,
|
|
spirv::ElementwiseOpPattern<math::RsqrtOp, spirv::GLSLInverseSqrtOp>,
|
|
spirv::ElementwiseOpPattern<math::SinOp, spirv::GLSLSinOp>,
|
|
spirv::ElementwiseOpPattern<math::SqrtOp, spirv::GLSLSqrtOp>,
|
|
spirv::ElementwiseOpPattern<math::TanhOp, spirv::GLSLTanhOp>>(
|
|
typeConverter, patterns.getContext());
|
|
|
|
// OpenCL patterns
|
|
patterns.add<Log1pOpPattern<spirv::OCLLogOp>, ExpM1OpPattern<spirv::OCLExpOp>,
|
|
spirv::ElementwiseOpPattern<math::AbsOp, spirv::OCLFAbsOp>,
|
|
spirv::ElementwiseOpPattern<math::CeilOp, spirv::OCLCeilOp>,
|
|
spirv::ElementwiseOpPattern<math::CosOp, spirv::OCLCosOp>,
|
|
spirv::ElementwiseOpPattern<math::ErfOp, spirv::OCLErfOp>,
|
|
spirv::ElementwiseOpPattern<math::ExpOp, spirv::OCLExpOp>,
|
|
spirv::ElementwiseOpPattern<math::FloorOp, spirv::OCLFloorOp>,
|
|
spirv::ElementwiseOpPattern<math::FmaOp, spirv::OCLFmaOp>,
|
|
spirv::ElementwiseOpPattern<math::LogOp, spirv::OCLLogOp>,
|
|
spirv::ElementwiseOpPattern<math::PowFOp, spirv::OCLPowOp>,
|
|
spirv::ElementwiseOpPattern<math::RsqrtOp, spirv::OCLRsqrtOp>,
|
|
spirv::ElementwiseOpPattern<math::SinOp, spirv::OCLSinOp>,
|
|
spirv::ElementwiseOpPattern<math::SqrtOp, spirv::OCLSqrtOp>,
|
|
spirv::ElementwiseOpPattern<math::TanhOp, spirv::OCLTanhOp>>(
|
|
typeConverter, patterns.getContext());
|
|
}
|
|
|
|
} // namespace mlir
|