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//===- 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 "mlir/IR/BuiltinTypes.h"
#include "mlir/IR/TypeUtilities.h"
#include "mlir/Transforms/DialectConversion.h"
#include "llvm/Support/Debug.h"
#define DEBUG_TYPE "math-to-spirv-pattern"
using namespace mlir;
//===----------------------------------------------------------------------===//
// Utility functions
//===----------------------------------------------------------------------===//
/// Creates a 32-bit scalar/vector integer constant. Returns nullptr if the
/// given type is not a 32-bit scalar/vector type.
static Value getScalarOrVectorI32Constant(Type type, int value,
OpBuilder &builder, Location loc) {
if (auto vectorType = type.dyn_cast<VectorType>()) {
if (!vectorType.getElementType().isInteger(32))
return nullptr;
SmallVector<int> values(vectorType.getNumElements(), value);
return builder.create<spirv::ConstantOp>(loc, type,
builder.getI32VectorAttr(values));
}
if (type.isInteger(32))
return builder.create<spirv::ConstantOp>(loc, type,
builder.getI32IntegerAttr(value));
return nullptr;
}
//===----------------------------------------------------------------------===//
// 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.copysign to SPIR-V ops.
class CopySignPattern final : public OpConversionPattern<math::CopySignOp> {
using OpConversionPattern::OpConversionPattern;
LogicalResult
matchAndRewrite(math::CopySignOp copySignOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override {
auto type = getTypeConverter()->convertType(copySignOp.getType());
if (!type)
return failure();
FloatType floatType;
if (auto scalarType = copySignOp.getType().dyn_cast<FloatType>()) {
floatType = scalarType;
} else if (auto vectorType = copySignOp.getType().dyn_cast<VectorType>()) {
floatType = vectorType.getElementType().cast<FloatType>();
} else {
return failure();
}
Location loc = copySignOp.getLoc();
int bitwidth = floatType.getWidth();
Type intType = rewriter.getIntegerType(bitwidth);
uint64_t intValue = uint64_t(1) << (bitwidth - 1);
Value signMask = rewriter.create<spirv::ConstantOp>(
loc, intType, rewriter.getIntegerAttr(intType, intValue));
Value valueMask = rewriter.create<spirv::ConstantOp>(
loc, intType, rewriter.getIntegerAttr(intType, intValue - 1u));
if (auto vectorType = copySignOp.getType().dyn_cast<VectorType>()) {
assert(vectorType.getRank() == 1);
int count = vectorType.getNumElements();
intType = VectorType::get(count, intType);
SmallVector<Value> signSplat(count, signMask);
signMask =
rewriter.create<spirv::CompositeConstructOp>(loc, intType, signSplat);
SmallVector<Value> valueSplat(count, valueMask);
valueMask = rewriter.create<spirv::CompositeConstructOp>(loc, intType,
valueSplat);
}
Value lhsCast =
rewriter.create<spirv::BitcastOp>(loc, intType, adaptor.getLhs());
Value rhsCast =
rewriter.create<spirv::BitcastOp>(loc, intType, adaptor.getRhs());
Value value = rewriter.create<spirv::BitwiseAndOp>(
loc, intType, ValueRange{lhsCast, valueMask});
Value sign = rewriter.create<spirv::BitwiseAndOp>(
loc, intType, ValueRange{rhsCast, signMask});
Value result = rewriter.create<spirv::BitwiseOrOp>(loc, intType,
ValueRange{value, sign});
rewriter.replaceOpWithNewOp<spirv::BitcastOp>(copySignOp, type, result);
return success();
}
};
/// Converts math.ctlz to SPIR-V ops.
///
/// SPIR-V does not have a direct operations for counting leading zeros. If
/// Shader capability is supported, we can leverage GL FindUMsb to calculate
/// it.
class CountLeadingZerosPattern final
: public OpConversionPattern<math::CountLeadingZerosOp> {
using OpConversionPattern::OpConversionPattern;
LogicalResult
matchAndRewrite(math::CountLeadingZerosOp countOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override {
auto type = getTypeConverter()->convertType(countOp.getType());
if (!type)
return failure();
// We can only support 32-bit integer types for now.
unsigned bitwidth = 0;
if (type.isa<IntegerType>())
bitwidth = type.getIntOrFloatBitWidth();
if (auto vectorType = type.dyn_cast<VectorType>())
bitwidth = vectorType.getElementTypeBitWidth();
if (bitwidth != 32)
return failure();
Location loc = countOp.getLoc();
Value input = adaptor.getOperand();
Value val1 = getScalarOrVectorI32Constant(type, 1, rewriter, loc);
Value val31 = getScalarOrVectorI32Constant(type, 31, rewriter, loc);
Value val32 = getScalarOrVectorI32Constant(type, 32, rewriter, loc);
Value msb = rewriter.create<spirv::GLFindUMsbOp>(loc, input);
// We need to subtract from 31 given that the index returned by GLSL
// FindUMsb is counted from the least significant bit. Theoretically this
// also gives the correct result even if the integer has all zero bits, in
// which case GL FindUMsb would return -1.
Value subMsb = rewriter.create<spirv::ISubOp>(loc, val31, msb);
// However, certain Vulkan implementations have driver bugs for the corner
// case where the input is zero. And.. it can be smart to optimize a select
// only involving the corner case. So separately compute the result when the
// input is either zero or one.
Value subInput = rewriter.create<spirv::ISubOp>(loc, val32, input);
Value cmp = rewriter.create<spirv::ULessThanEqualOp>(loc, input, val1);
rewriter.replaceOpWithNewOp<spirv::SelectOp>(countOp, cmp, subInput,
subMsb);
return success();
}
};
/// 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>
struct ExpM1OpPattern final : public OpConversionPattern<math::ExpM1Op> {
using OpConversionPattern::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>
struct Log1pOpPattern final : public OpConversionPattern<math::Log1pOp> {
using OpConversionPattern::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();
}
};
/// Converts math.powf to SPIRV-Ops.
struct PowFOpPattern final : public OpConversionPattern<math::PowFOp> {
using OpConversionPattern::OpConversionPattern;
LogicalResult
matchAndRewrite(math::PowFOp powfOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override {
auto dstType = getTypeConverter()->convertType(powfOp.getType());
if (!dstType)
return failure();
// Per GL Pow extended instruction spec:
// "Result is undefined if x < 0. Result is undefined if x = 0 and y <= 0."
Location loc = powfOp.getLoc();
Value zero =
spirv::ConstantOp::getZero(adaptor.getLhs().getType(), loc, rewriter);
Value lessThan =
rewriter.create<spirv::FOrdLessThanOp>(loc, adaptor.getLhs(), zero);
Value abs = rewriter.create<spirv::GLFAbsOp>(loc, adaptor.getLhs());
Value pow = rewriter.create<spirv::GLPowOp>(loc, abs, adaptor.getRhs());
Value negate = rewriter.create<spirv::FNegateOp>(loc, pow);
rewriter.replaceOpWithNewOp<spirv::SelectOp>(powfOp, lessThan, negate, pow);
return success();
}
};
/// Converts math.round to GLSL SPIRV extended ops.
struct RoundOpPattern final : public OpConversionPattern<math::RoundOp> {
using OpConversionPattern::OpConversionPattern;
LogicalResult
matchAndRewrite(math::RoundOp roundOp, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const override {
Location loc = roundOp.getLoc();
auto operand = roundOp.getOperand();
auto ty = operand.getType();
auto ety = getElementTypeOrSelf(ty);
auto zero = spirv::ConstantOp::getZero(ty, loc, rewriter);
auto one = spirv::ConstantOp::getOne(ty, loc, rewriter);
Value half;
if (VectorType vty = ty.dyn_cast<VectorType>()) {
half = rewriter.create<spirv::ConstantOp>(
loc, vty,
DenseElementsAttr::get(vty,
rewriter.getFloatAttr(ety, 0.5).getValue()));
} else {
half = rewriter.create<spirv::ConstantOp>(
loc, ty, rewriter.getFloatAttr(ety, 0.5));
}
auto abs = rewriter.create<spirv::GLFAbsOp>(loc, operand);
auto floor = rewriter.create<spirv::GLFloorOp>(loc, abs);
auto sub = rewriter.create<spirv::FSubOp>(loc, abs, floor);
auto greater =
rewriter.create<spirv::FOrdGreaterThanEqualOp>(loc, sub, half);
auto select = rewriter.create<spirv::SelectOp>(loc, greater, one, zero);
auto add = rewriter.create<spirv::FAddOp>(loc, floor, select);
rewriter.replaceOpWithNewOp<math::CopySignOp>(roundOp, add, operand);
return success();
}
};
} // namespace
//===----------------------------------------------------------------------===//
// Pattern population
//===----------------------------------------------------------------------===//
namespace mlir {
void populateMathToSPIRVPatterns(SPIRVTypeConverter &typeConverter,
RewritePatternSet &patterns) {
// Core patterns
patterns.add<CopySignPattern>(typeConverter, patterns.getContext());
// GLSL patterns
patterns
.add<CountLeadingZerosPattern, Log1pOpPattern<spirv::GLLogOp>,
ExpM1OpPattern<spirv::GLExpOp>, PowFOpPattern, RoundOpPattern,
spirv::ElementwiseOpPattern<math::AbsOp, spirv::GLFAbsOp>,
spirv::ElementwiseOpPattern<math::CeilOp, spirv::GLCeilOp>,
spirv::ElementwiseOpPattern<math::CosOp, spirv::GLCosOp>,
spirv::ElementwiseOpPattern<math::ExpOp, spirv::GLExpOp>,
spirv::ElementwiseOpPattern<math::FloorOp, spirv::GLFloorOp>,
spirv::ElementwiseOpPattern<math::FmaOp, spirv::GLFmaOp>,
spirv::ElementwiseOpPattern<math::LogOp, spirv::GLLogOp>,
spirv::ElementwiseOpPattern<math::RsqrtOp, spirv::GLInverseSqrtOp>,
spirv::ElementwiseOpPattern<math::SinOp, spirv::GLSinOp>,
spirv::ElementwiseOpPattern<math::SqrtOp, spirv::GLSqrtOp>,
spirv::ElementwiseOpPattern<math::TanhOp, spirv::GLTanhOp>>(
typeConverter, patterns.getContext());
// OpenCL patterns
patterns.add<Log1pOpPattern<spirv::CLLogOp>, ExpM1OpPattern<spirv::CLExpOp>,
spirv::ElementwiseOpPattern<math::AbsOp, spirv::CLFAbsOp>,
spirv::ElementwiseOpPattern<math::CeilOp, spirv::CLCeilOp>,
spirv::ElementwiseOpPattern<math::CosOp, spirv::CLCosOp>,
spirv::ElementwiseOpPattern<math::ErfOp, spirv::CLErfOp>,
spirv::ElementwiseOpPattern<math::ExpOp, spirv::CLExpOp>,
spirv::ElementwiseOpPattern<math::FloorOp, spirv::CLFloorOp>,
spirv::ElementwiseOpPattern<math::FmaOp, spirv::CLFmaOp>,
spirv::ElementwiseOpPattern<math::LogOp, spirv::CLLogOp>,
spirv::ElementwiseOpPattern<math::PowFOp, spirv::CLPowOp>,
spirv::ElementwiseOpPattern<math::RoundOp, spirv::CLRoundOp>,
spirv::ElementwiseOpPattern<math::RsqrtOp, spirv::CLRsqrtOp>,
spirv::ElementwiseOpPattern<math::SinOp, spirv::CLSinOp>,
spirv::ElementwiseOpPattern<math::SqrtOp, spirv::CLSqrtOp>,
spirv::ElementwiseOpPattern<math::TanhOp, spirv::CLTanhOp>>(
typeConverter, patterns.getContext());
}
} // namespace mlir
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