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TosaToLinalg.cpp
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TosaToLinalg.cpp
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//===- TosaToLinalg.cpp - Lowering Tosa to Linalg Dialect -----------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
//
// These rewriters lower from the Tosa to the Linalg dialect.
//
//===----------------------------------------------------------------------===//
#include "mlir/Conversion/TosaToLinalg/TosaToLinalg.h"
#include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
#include "mlir/Dialect/Linalg/IR/Linalg.h"
#include "mlir/Dialect/Math/IR/Math.h"
#include "mlir/Dialect/SCF/IR/SCF.h"
#include "mlir/Dialect/Tensor/IR/Tensor.h"
#include "mlir/Dialect/Tensor/Utils/Utils.h"
#include "mlir/Dialect/Tosa/IR/TosaOps.h"
#include "mlir/Dialect/Tosa/Utils/CoversionUtils.h"
#include "mlir/Dialect/Utils/ReshapeOpsUtils.h"
#include "mlir/IR/Matchers.h"
#include "mlir/IR/PatternMatch.h"
#include "mlir/Transforms/DialectConversion.h"
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
#include <numeric>
using namespace mlir;
using namespace mlir::tosa;
template <typename T>
static arith::ConstantOp
createConstFromIntAttribute(Operation *op, const std::string &attrName,
Type requiredAttrType, OpBuilder &rewriter) {
auto castedN = static_cast<T>(
op->getAttr(attrName).cast<IntegerAttr>().getValue().getSExtValue());
return rewriter.create<arith::ConstantOp>(
op->getLoc(), IntegerAttr::get(requiredAttrType, castedN));
}
static Value
createLinalgBodyCalculationForElementwiseOp(Operation *op, ValueRange args,
ArrayRef<Type> resultTypes,
PatternRewriter &rewriter) {
Location loc = op->getLoc();
auto elementTy =
op->getOperand(0).getType().cast<ShapedType>().getElementType();
// tosa::AbsOp
if (isa<tosa::AbsOp>(op) && elementTy.isa<FloatType>())
return rewriter.create<math::AbsOp>(loc, resultTypes, args);
if (isa<tosa::AbsOp>(op) && elementTy.isa<IntegerType>()) {
auto zero = rewriter.create<arith::ConstantOp>(
loc, rewriter.getZeroAttr(elementTy));
auto cmp = rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::sgt,
args[0], zero);
auto neg = rewriter.create<arith::SubIOp>(loc, zero, args[0]);
return rewriter.create<arith::SelectOp>(loc, cmp, args[0], neg);
}
// tosa::AddOp
if (isa<tosa::AddOp>(op) && elementTy.isa<FloatType>())
return rewriter.create<arith::AddFOp>(loc, resultTypes, args);
if (isa<tosa::AddOp>(op) && elementTy.isa<IntegerType>())
return rewriter.create<arith::AddIOp>(loc, resultTypes, args);
// tosa::SubOp
if (isa<tosa::SubOp>(op) && elementTy.isa<FloatType>())
return rewriter.create<arith::SubFOp>(loc, resultTypes, args);
if (isa<tosa::SubOp>(op) && elementTy.isa<IntegerType>())
return rewriter.create<arith::SubIOp>(loc, resultTypes, args);
// tosa::MulOp
if (isa<tosa::MulOp>(op) && elementTy.isa<FloatType>()) {
if (dyn_cast<tosa::MulOp>(op).shift() != 0) {
(void)rewriter.notifyMatchFailure(op,
"Cannot have shift value for float");
return nullptr;
}
return rewriter.create<arith::MulFOp>(loc, resultTypes, args);
}
// tosa::DivOp
if (isa<tosa::DivOp>(op) && elementTy.isa<IntegerType>())
return rewriter.create<arith::DivSIOp>(loc, resultTypes, args);
// tosa::ReciprocalOp
if (isa<tosa::ReciprocalOp>(op) && elementTy.isa<FloatType>()) {
auto one =
rewriter.create<arith::ConstantOp>(loc, FloatAttr::get(elementTy, 1));
return rewriter.create<arith::DivFOp>(loc, resultTypes, one, args[0]);
}
if (isa<tosa::MulOp>(op) && elementTy.isa<IntegerType>()) {
Value a = args[0];
Value b = args[1];
auto shift =
op->getAttr("shift").cast<IntegerAttr>().getValue().getSExtValue();
if (shift > 0) {
auto shiftConst =
rewriter.create<arith::ConstantIntOp>(loc, shift, /*bitwidth=*/8);
if (!a.getType().isInteger(32))
a = rewriter.create<arith::ExtSIOp>(loc, rewriter.getI32Type(), a);
if (!b.getType().isInteger(32))
b = rewriter.create<arith::ExtSIOp>(loc, rewriter.getI32Type(), b);
auto result = rewriter.create<tosa::ApplyScaleOp>(
loc, rewriter.getI32Type(), a, b, shiftConst,
rewriter.getBoolAttr(false));
if (elementTy.isInteger(32))
return result;
return rewriter.create<arith::TruncIOp>(loc, elementTy, result);
}
int aWidth = a.getType().getIntOrFloatBitWidth();
int bWidth = b.getType().getIntOrFloatBitWidth();
int cWidth = resultTypes[0].getIntOrFloatBitWidth();
if (aWidth < cWidth)
a = rewriter.create<arith::ExtSIOp>(loc, resultTypes[0], a);
if (bWidth < cWidth)
b = rewriter.create<arith::ExtSIOp>(loc, resultTypes[0], b);
return rewriter.create<arith::MulIOp>(loc, resultTypes, a, b);
}
// tosa::NegateOp
if (isa<tosa::NegateOp>(op) && elementTy.isa<FloatType>())
return rewriter.create<arith::NegFOp>(loc, resultTypes, args);
if (isa<tosa::NegateOp>(op) && elementTy.isa<IntegerType>() &&
!cast<tosa::NegateOp>(op).quantization_info()) {
auto constant =
rewriter.create<arith::ConstantOp>(loc, IntegerAttr::get(elementTy, 0));
return rewriter.create<arith::SubIOp>(loc, resultTypes, constant, args[0]);
}
if (isa<tosa::NegateOp>(op) && elementTy.isa<IntegerType>() &&
cast<tosa::NegateOp>(op).quantization_info()) {
auto quantizationInfo = cast<tosa::NegateOp>(op).quantization_info();
int32_t inputBitWidth = elementTy.getIntOrFloatBitWidth();
int64_t inZp = quantizationInfo.getValue().getInputZp();
int64_t outZp = quantizationInfo.getValue().getOutputZp();
// Compute the maximum value that can occur in the intermediate buffer.
int64_t zpAdd = inZp + outZp;
int64_t maxValue = APInt::getSignedMaxValue(inputBitWidth).getSExtValue() +
std::abs(zpAdd) + 1;
// Convert that maximum value into the maximum bitwidth needed to represent
// it. We assume 48-bit numbers may be supported further in the pipeline.
int intermediateBitWidth = 64;
if (maxValue <= APInt::getSignedMaxValue(16).getSExtValue()) {
intermediateBitWidth = 16;
} else if (maxValue <= APInt::getSignedMaxValue(32).getSExtValue()) {
intermediateBitWidth = 32;
} else if (maxValue <= APInt::getSignedMaxValue(48).getSExtValue()) {
intermediateBitWidth = 48;
}
Type intermediateType = rewriter.getIntegerType(intermediateBitWidth);
Value zpAddValue = rewriter.create<arith::ConstantOp>(
loc, rewriter.getIntegerAttr(intermediateType, zpAdd));
// The negation can be applied by doing:
// outputValue = inZp + outZp - inputValue
auto ext = rewriter.create<arith::ExtSIOp>(loc, intermediateType, args[0]);
auto sub = rewriter.create<arith::SubIOp>(loc, zpAddValue, ext);
// Clamp to the negation range.
auto min = rewriter.create<arith::ConstantIntOp>(
loc, APInt::getSignedMinValue(inputBitWidth).getSExtValue(),
intermediateType);
auto max = rewriter.create<arith::ConstantIntOp>(
loc, APInt::getSignedMaxValue(inputBitWidth).getSExtValue(),
intermediateType);
auto clamp = clampHelper<arith::CmpIOp>(
loc, sub, min, max, arith::CmpIPredicate::slt, rewriter);
// Truncate to the final value.
return rewriter.create<arith::TruncIOp>(loc, elementTy, clamp);
}
// tosa::BitwiseAndOp
if (isa<tosa::BitwiseAndOp>(op) && elementTy.isa<IntegerType>())
return rewriter.create<arith::AndIOp>(loc, resultTypes, args);
// tosa::BitwiseOrOp
if (isa<tosa::BitwiseOrOp>(op) && elementTy.isa<IntegerType>())
return rewriter.create<arith::OrIOp>(loc, resultTypes, args);
// tosa::BitwiseNotOp
if (isa<tosa::BitwiseNotOp>(op) && elementTy.isa<IntegerType>()) {
auto allOnesAttr = rewriter.getIntegerAttr(
elementTy, APInt::getAllOnes(elementTy.getIntOrFloatBitWidth()));
auto allOnes = rewriter.create<arith::ConstantOp>(loc, allOnesAttr);
return rewriter.create<arith::XOrIOp>(loc, resultTypes, args[0], allOnes);
}
// tosa::BitwiseXOrOp
if (isa<tosa::BitwiseXorOp>(op) && elementTy.isa<IntegerType>())
return rewriter.create<arith::XOrIOp>(loc, resultTypes, args);
// tosa::LogicalLeftShiftOp
if (isa<tosa::LogicalLeftShiftOp>(op) && elementTy.isa<IntegerType>())
return rewriter.create<arith::ShLIOp>(loc, resultTypes, args);
// tosa::LogicalRightShiftOp
if (isa<tosa::LogicalRightShiftOp>(op) && elementTy.isa<IntegerType>())
return rewriter.create<arith::ShRUIOp>(loc, resultTypes, args);
// tosa::ArithmeticRightShiftOp
if (isa<tosa::ArithmeticRightShiftOp>(op) && elementTy.isa<IntegerType>()) {
auto result = rewriter.create<arith::ShRSIOp>(loc, resultTypes, args);
auto round = op->getAttr("round").cast<BoolAttr>().getValue();
if (!round) {
return result;
}
Type i1Ty = IntegerType::get(rewriter.getContext(), /*width=*/1);
auto one =
rewriter.create<arith::ConstantOp>(loc, IntegerAttr::get(elementTy, 1));
auto zero =
rewriter.create<arith::ConstantOp>(loc, IntegerAttr::get(elementTy, 0));
auto i1one =
rewriter.create<arith::ConstantOp>(loc, IntegerAttr::get(i1Ty, 1));
// Checking that input2 != 0
auto shiftValueGreaterThanZero = rewriter.create<arith::CmpIOp>(
loc, arith::CmpIPredicate::sgt, args[1], zero);
// Checking for the last bit of input1 to be 1
auto subtract =
rewriter.create<arith::SubIOp>(loc, resultTypes, args[1], one);
auto shifted =
rewriter.create<arith::ShRSIOp>(loc, resultTypes, args[0], subtract)
->getResults();
auto truncated =
rewriter.create<arith::TruncIOp>(loc, i1Ty, shifted, mlir::None);
auto isInputOdd =
rewriter.create<arith::AndIOp>(loc, i1Ty, truncated, i1one);
auto shouldRound = rewriter.create<arith::AndIOp>(
loc, i1Ty, shiftValueGreaterThanZero, isInputOdd);
auto extended =
rewriter.create<arith::ExtUIOp>(loc, resultTypes, shouldRound);
return rewriter.create<arith::AddIOp>(loc, resultTypes, result, extended);
}
// tosa::ClzOp
if (isa<tosa::ClzOp>(op) && elementTy.isa<IntegerType>()) {
return rewriter.create<math::CountLeadingZerosOp>(loc, elementTy, args[0]);
}
// tosa::LogicalAnd
if (isa<tosa::LogicalAndOp>(op) && elementTy.isInteger(1))
return rewriter.create<arith::AndIOp>(loc, resultTypes, args);
// tosa::LogicalNot
if (isa<tosa::LogicalNotOp>(op) && elementTy.isInteger(1)) {
auto one = rewriter.create<arith::ConstantOp>(
loc, rewriter.getIntegerAttr(elementTy, 1));
return rewriter.create<arith::XOrIOp>(loc, resultTypes, args[0], one);
}
// tosa::LogicalOr
if (isa<tosa::LogicalOrOp>(op) && elementTy.isInteger(1))
return rewriter.create<arith::OrIOp>(loc, resultTypes, args);
// tosa::LogicalXor
if (isa<tosa::LogicalXorOp>(op) && elementTy.isInteger(1))
return rewriter.create<arith::XOrIOp>(loc, resultTypes, args);
// tosa::PowOp
if (isa<tosa::PowOp>(op) && elementTy.isa<FloatType>())
return rewriter.create<mlir::math::PowFOp>(loc, resultTypes, args);
// tosa::RsqrtOp
if (isa<tosa::RsqrtOp>(op) && elementTy.isa<FloatType>())
return rewriter.create<mlir::math::RsqrtOp>(loc, resultTypes, args);
// tosa::LogOp
if (isa<tosa::LogOp>(op) && elementTy.isa<FloatType>())
return rewriter.create<mlir::math::LogOp>(loc, resultTypes, args);
// tosa::ExpOp
if (isa<tosa::ExpOp>(op) && elementTy.isa<FloatType>())
return rewriter.create<mlir::math::ExpOp>(loc, resultTypes, args);
// tosa::TanhOp
if (isa<tosa::TanhOp>(op) && elementTy.isa<FloatType>())
return rewriter.create<mlir::math::TanhOp>(loc, resultTypes, args);
// tosa::GreaterOp
if (isa<tosa::GreaterOp>(op) && elementTy.isa<FloatType>())
return rewriter.create<arith::CmpFOp>(loc, arith::CmpFPredicate::OGT,
args[0], args[1]);
if (isa<tosa::GreaterOp>(op) && elementTy.isSignlessInteger())
return rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::sgt,
args[0], args[1]);
// tosa::GreaterEqualOp
if (isa<tosa::GreaterEqualOp>(op) && elementTy.isa<FloatType>())
return rewriter.create<arith::CmpFOp>(loc, arith::CmpFPredicate::OGE,
args[0], args[1]);
if (isa<tosa::GreaterEqualOp>(op) && elementTy.isSignlessInteger())
return rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::sge,
args[0], args[1]);
// tosa::EqualOp
if (isa<tosa::EqualOp>(op) && elementTy.isa<FloatType>())
return rewriter.create<arith::CmpFOp>(loc, arith::CmpFPredicate::OEQ,
args[0], args[1]);
if (isa<tosa::EqualOp>(op) && elementTy.isSignlessInteger())
return rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::eq,
args[0], args[1]);
// tosa::SelectOp
if (isa<tosa::SelectOp>(op)) {
elementTy = op->getOperand(1).getType().cast<ShapedType>().getElementType();
if (elementTy.isa<FloatType>() || elementTy.isa<IntegerType>())
return rewriter.create<arith::SelectOp>(loc, args[0], args[1], args[2]);
}
// tosa::MaximumOp
if (isa<tosa::MaximumOp>(op) && elementTy.isa<FloatType>()) {
auto predicate = rewriter.create<arith::CmpFOp>(
loc, arith::CmpFPredicate::OGT, args[0], args[1]);
return rewriter.create<arith::SelectOp>(loc, predicate, args[0], args[1]);
}
if (isa<tosa::MaximumOp>(op) && elementTy.isSignlessInteger()) {
auto predicate = rewriter.create<arith::CmpIOp>(
loc, arith::CmpIPredicate::sgt, args[0], args[1]);
return rewriter.create<arith::SelectOp>(loc, predicate, args[0], args[1]);
}
// tosa::MinimumOp
if (isa<tosa::MinimumOp>(op) && elementTy.isa<FloatType>()) {
auto predicate = rewriter.create<arith::CmpFOp>(
loc, arith::CmpFPredicate::OLT, args[0], args[1]);
return rewriter.create<arith::SelectOp>(loc, predicate, args[0], args[1]);
}
if (isa<tosa::MinimumOp>(op) && elementTy.isSignlessInteger()) {
auto predicate = rewriter.create<arith::CmpIOp>(
loc, arith::CmpIPredicate::slt, args[0], args[1]);
return rewriter.create<arith::SelectOp>(loc, predicate, args[0], args[1]);
}
// tosa::CeilOp
if (isa<tosa::CeilOp>(op) && elementTy.isa<FloatType>())
return rewriter.create<math::CeilOp>(loc, resultTypes, args);
// tosa::FloorOp
if (isa<tosa::FloorOp>(op) && elementTy.isa<FloatType>())
return rewriter.create<math::FloorOp>(loc, resultTypes, args);
// tosa::ClampOp
if (isa<tosa::ClampOp>(op) && elementTy.isa<FloatType>()) {
auto min = rewriter.create<arith::ConstantOp>(loc, elementTy,
op->getAttr("min_fp"));
auto max = rewriter.create<arith::ConstantOp>(loc, elementTy,
op->getAttr("max_fp"));
return clampHelper<arith::CmpFOp>(loc, args[0], min, max,
arith::CmpFPredicate::OLT, rewriter);
}
if (isa<tosa::ClampOp>(op) && elementTy.isa<IntegerType>()) {
auto intTy = elementTy.cast<IntegerType>();
int32_t min = static_cast<int32_t>(
op->getAttr("min_int").cast<IntegerAttr>().getValue().getSExtValue());
int32_t max = static_cast<int32_t>(
op->getAttr("max_int").cast<IntegerAttr>().getValue().getSExtValue());
if (intTy.isUnsignedInteger()) {
min = std::max<int32_t>(min, 0);
max = std::min<int32_t>(
max,
APInt::getMaxValue(intTy.getIntOrFloatBitWidth()).getSExtValue());
} else {
min = std::max<int32_t>(
min, APInt::getSignedMinValue(intTy.getIntOrFloatBitWidth())
.getSExtValue());
max = std::min<int32_t>(
max, APInt::getSignedMaxValue(intTy.getIntOrFloatBitWidth())
.getSExtValue());
}
auto minVal = rewriter.create<arith::ConstantIntOp>(
loc, min, intTy.getIntOrFloatBitWidth());
auto maxVal = rewriter.create<arith::ConstantIntOp>(
loc, max, intTy.getIntOrFloatBitWidth());
return clampHelper<arith::CmpIOp>(loc, args[0], minVal, maxVal,
arith::CmpIPredicate::slt, rewriter);
}
// tosa::ReluNOp
if (isa<tosa::ReluNOp>(op) && elementTy.isa<FloatType>()) {
auto zero =
rewriter.create<arith::ConstantOp>(loc, FloatAttr::get(elementTy, 0));
auto n = rewriter.create<arith::ConstantOp>(loc, elementTy,
op->getAttr("max_fp"));
return clampHelper<arith::CmpFOp>(loc, args[0], zero, n,
arith::CmpFPredicate::OLT, rewriter);
}
if (isa<tosa::ReluNOp>(op) && elementTy.isa<IntegerType>()) {
auto zero =
rewriter.create<arith::ConstantOp>(loc, IntegerAttr::get(elementTy, 0));
auto n = createConstFromIntAttribute<int32_t>(op, "max_int", elementTy,
rewriter);
return clampHelper<arith::CmpIOp>(loc, args[0], zero, n,
arith::CmpIPredicate::slt, rewriter);
}
// tosa::SigmoidOp
if (isa<tosa::SigmoidOp>(op) && elementTy.isa<FloatType>()) {
auto one =
rewriter.create<arith::ConstantOp>(loc, FloatAttr::get(elementTy, 1));
auto negate = rewriter.create<arith::NegFOp>(loc, resultTypes, args[0]);
auto exp = rewriter.create<mlir::math::ExpOp>(loc, resultTypes, negate);
auto added = rewriter.create<arith::AddFOp>(loc, resultTypes, exp, one);
return rewriter.create<arith::DivFOp>(loc, resultTypes, one, added);
}
// tosa::CastOp
if (isa<tosa::CastOp>(op)) {
Type srcTy = elementTy;
Type dstTy = resultTypes.front();
bool bitExtend =
srcTy.getIntOrFloatBitWidth() < dstTy.getIntOrFloatBitWidth();
if (srcTy == dstTy)
return args.front();
if (srcTy.isa<FloatType>() && dstTy.isa<FloatType>() && bitExtend)
return rewriter.create<arith::ExtFOp>(loc, resultTypes, args, mlir::None);
if (srcTy.isa<FloatType>() && dstTy.isa<FloatType>() && !bitExtend)
return rewriter.create<arith::TruncFOp>(loc, resultTypes, args,
mlir::None);
// 1-bit integers need to be treated as signless.
if (srcTy.isInteger(1) && arith::UIToFPOp::areCastCompatible(srcTy, dstTy))
return rewriter.create<arith::UIToFPOp>(loc, resultTypes, args,
mlir::None);
if (srcTy.isInteger(1) && dstTy.isa<IntegerType>() && bitExtend)
return rewriter.create<arith::ExtUIOp>(loc, resultTypes, args,
mlir::None);
// Unsigned integers need an unrealized cast so that they can be passed
// to UIToFP.
if (srcTy.isUnsignedInteger() && dstTy.isa<FloatType>()) {
auto unrealizedCast =
rewriter
.create<UnrealizedConversionCastOp>(
loc, rewriter.getIntegerType(srcTy.getIntOrFloatBitWidth()),
args[0])
.getResult(0);
return rewriter.create<arith::UIToFPOp>(loc, resultTypes[0],
unrealizedCast);
}
// All other si-to-fp conversions should be handled by SIToFP.
if (arith::SIToFPOp::areCastCompatible(srcTy, dstTy))
return rewriter.create<arith::SIToFPOp>(loc, resultTypes, args,
mlir::None);
// Casting to boolean, floats need to only be checked as not-equal to zero.
if (srcTy.isa<FloatType>() && dstTy.isInteger(1)) {
Value zero = rewriter.create<arith::ConstantOp>(
loc, rewriter.getFloatAttr(srcTy, 0.0));
return rewriter.create<arith::CmpFOp>(loc, arith::CmpFPredicate::UNE,
args.front(), zero);
}
if (arith::FPToSIOp::areCastCompatible(srcTy, dstTy)) {
auto zero = rewriter.create<arith::ConstantOp>(
loc, rewriter.getF32FloatAttr(0.0f));
auto half = rewriter.create<arith::ConstantOp>(
loc, rewriter.getF32FloatAttr(0.5f));
auto intMin = rewriter.create<arith::ConstantOp>(
loc, rewriter.getF32FloatAttr(
APInt::getSignedMinValue(dstTy.getIntOrFloatBitWidth())
.getSExtValue()));
auto intMax = rewriter.create<arith::ConstantOp>(
loc, rewriter.getF32FloatAttr(
APInt::getSignedMaxValue(dstTy.getIntOrFloatBitWidth())
.getSExtValue()));
auto added = rewriter.create<arith::AddFOp>(loc, args[0], half);
auto subbed = rewriter.create<arith::SubFOp>(loc, args[0], half);
auto negative = rewriter.create<arith::CmpFOp>(
loc, arith::CmpFPredicate::OLT, args[0], zero);
auto rounded =
rewriter.create<arith::SelectOp>(loc, negative, subbed, added);
auto clamped = clampHelper<arith::CmpFOp>(
loc, rounded, intMin, intMax, arith::CmpFPredicate::OLT, rewriter);
return rewriter.create<arith::FPToSIOp>(loc, dstTy, clamped);
}
// Casting to boolean, integers need to only be checked as not-equal to
// zero.
if (srcTy.isa<IntegerType>() && dstTy.isInteger(1)) {
Value zero = rewriter.create<arith::ConstantIntOp>(
loc, 0, srcTy.getIntOrFloatBitWidth());
return rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::ne,
args.front(), zero);
}
if (srcTy.isa<IntegerType>() && dstTy.isa<IntegerType>() && bitExtend)
return rewriter.create<arith::ExtSIOp>(loc, resultTypes, args,
mlir::None);
if (srcTy.isa<IntegerType>() && dstTy.isa<IntegerType>() && !bitExtend) {
auto intMin = rewriter.create<arith::ConstantIntOp>(
loc,
APInt::getSignedMinValue(dstTy.getIntOrFloatBitWidth())
.getSExtValue(),
srcTy.getIntOrFloatBitWidth());
auto intMax = rewriter.create<arith::ConstantIntOp>(
loc,
APInt::getSignedMaxValue(dstTy.getIntOrFloatBitWidth())
.getSExtValue(),
srcTy.getIntOrFloatBitWidth());
auto clamped = clampHelper<arith::CmpIOp>(
loc, args[0], intMin, intMax, arith::CmpIPredicate::slt, rewriter);
return rewriter.create<arith::TruncIOp>(loc, dstTy, clamped);
}
}
(void)rewriter.notifyMatchFailure(
op, "unhandled op for linalg body calculation for elementwise op");
return nullptr;
}
static LogicalResult
elementwiseMatchAndRewriteHelper(Operation *operation,
PatternRewriter &rewriter) {
auto loc = operation->getLoc();
assert(operation->getNumResults() == 1 &&
"All TOSA elementwise ops should only return a single result.");
auto results = operation->getResults();
auto resultTy = operation->getResult(0).getType().dyn_cast<ShapedType>();
if (!resultTy)
return rewriter.notifyMatchFailure(operation,
"All results must be a shaped type");
unsigned rank = resultTy.getRank();
// Construct the indexing maps needed for linalg.generic ops.
SmallVector<Type> bodyArgTypes;
for (Value in : operation->getOperands())
bodyArgTypes.emplace_back(getElementTypeOrSelf(in.getType()));
SmallVector<Type> opResultTypes;
SmallVector<Value> initTensors;
SmallVector<Value> dynDims;
dynDims.resize(results.front().getType().cast<ShapedType>().getRank());
for (auto arg : operation->getOperands()) {
auto operandTy = arg.getType().cast<ShapedType>();
for (int i = 0; i < operandTy.getRank(); i++) {
if (operandTy.isDynamicDim(i) && !dynDims[i])
dynDims[i] = rewriter.create<tensor::DimOp>(loc, arg, i);
}
}
SmallVector<Value> filteredDims = condenseValues(dynDims);
for (auto result : results) {
auto resultTy = result.getType().template cast<ShapedType>();
initTensors.push_back(rewriter.create<linalg::InitTensorOp>(
loc, filteredDims, resultTy.getShape(), resultTy.getElementType()));
opResultTypes.push_back(result.getType());
}
auto bodyResultTypes = llvm::to_vector<4>(llvm::map_range(
initTensors, [](Value v) { return getElementTypeOrSelf(v); }));
SmallVector<Value, 2> operands;
SmallVector<AffineMap, 2> indexingMaps;
indexingMaps.reserve(operation->getNumOperands() + bodyResultTypes.size());
// Input indexing maps may be broadcasted.
for (Value operand : operation->getOperands()) {
ShapedType type = operand.getType().cast<ShapedType>();
if (type.getShape() == resultTy.getShape()) {
operands.push_back(operand);
indexingMaps.push_back(rewriter.getMultiDimIdentityMap(rank));
continue;
}
SmallVector<int64_t, 5> newShape;
SmallVector<AffineExpr, 4> affineExprs;
newShape.reserve(type.getRank());
for (const auto &it : llvm::enumerate(type.getShape())) {
if (it.value() == resultTy.getDimSize(it.index())) {
newShape.push_back(it.value());
affineExprs.push_back(
mlir::getAffineDimExpr(it.index(), rewriter.getContext()));
}
}
if (newShape.size() != rank) {
operand = rewriter.create<tosa::ReshapeOp>(
loc, RankedTensorType::get(newShape, type.getElementType()), operand,
rewriter.getI64ArrayAttr(newShape));
}
operands.push_back(operand);
indexingMaps.push_back(AffineMap::get(
/*dimCount=*/type.getRank(), /*symbolCount=*/0, affineExprs,
rewriter.getContext()));
}
indexingMaps.append(operation->getNumResults(),
rewriter.getMultiDimIdentityMap(rank));
bool didEncounterError = false;
auto linalgOp = rewriter.create<linalg::GenericOp>(
loc, opResultTypes, operands, initTensors, indexingMaps,
getNParallelLoopsAttrs(rank),
[&](OpBuilder &nestedBuilder, Location nestedLoc, ValueRange blockArgs) {
Value opResult = createLinalgBodyCalculationForElementwiseOp(
operation, blockArgs.take_front(operation->getNumOperands()),
bodyResultTypes, rewriter);
if (!opResult) {
didEncounterError = true;
return;
}
nestedBuilder.create<linalg::YieldOp>(loc, opResult);
});
if (didEncounterError)
return failure();
rewriter.replaceOp(operation, linalgOp->getResults());
return success();
}
// Returns the constant initial value for a given reduction operation. The
// attribute type varies depending on the element type required.
static Attribute createInitialValueForReduceOp(Operation *op, Type elementTy,
PatternRewriter &rewriter) {
if (isa<tosa::ReduceSumOp>(op) && elementTy.isa<FloatType>())
return rewriter.getFloatAttr(elementTy, 0.0);
if (isa<tosa::ReduceSumOp>(op) && elementTy.isa<IntegerType>())
return rewriter.getIntegerAttr(elementTy, 0);
if (isa<tosa::ReduceProdOp>(op) && elementTy.isa<FloatType>())
return rewriter.getFloatAttr(elementTy, 1.0);
if (isa<tosa::ReduceProdOp>(op) && elementTy.isa<IntegerType>())
return rewriter.getIntegerAttr(elementTy, 1);
if (isa<tosa::ReduceMinOp>(op) && elementTy.isa<FloatType>())
return rewriter.getFloatAttr(
elementTy, APFloat::getLargest(
elementTy.cast<FloatType>().getFloatSemantics(), false));
if (isa<tosa::ReduceMinOp>(op) && elementTy.isa<IntegerType>())
return rewriter.getIntegerAttr(
elementTy, APInt::getSignedMaxValue(elementTy.getIntOrFloatBitWidth()));
if (isa<tosa::ReduceMaxOp>(op) && elementTy.isa<FloatType>())
return rewriter.getFloatAttr(
elementTy, APFloat::getLargest(
elementTy.cast<FloatType>().getFloatSemantics(), true));
if (isa<tosa::ReduceMaxOp>(op) && elementTy.isa<IntegerType>())
return rewriter.getIntegerAttr(
elementTy, APInt::getSignedMinValue(elementTy.getIntOrFloatBitWidth()));
if (isa<tosa::ReduceAllOp>(op) && elementTy.isInteger(1))
return rewriter.getIntegerAttr(elementTy, APInt::getAllOnes(1));
if (isa<tosa::ReduceAnyOp>(op) && elementTy.isInteger(1))
return rewriter.getIntegerAttr(elementTy, APInt::getZero(1));
if (isa<tosa::ArgMaxOp>(op) && elementTy.isa<FloatType>())
return rewriter.getFloatAttr(
elementTy, APFloat::getLargest(
elementTy.cast<FloatType>().getFloatSemantics(), true));
if (isa<tosa::ArgMaxOp>(op) && elementTy.isa<IntegerType>())
return rewriter.getIntegerAttr(
elementTy, APInt::getSignedMinValue(elementTy.getIntOrFloatBitWidth()));
return {};
}
// Creates the body calculation for a reduction. The operations vary depending
// on the input type.
static Value createLinalgBodyCalculationForReduceOp(Operation *op,
ValueRange args,
Type elementTy,
PatternRewriter &rewriter) {
Location loc = op->getLoc();
if (isa<tosa::ReduceSumOp>(op) && elementTy.isa<FloatType>()) {
return rewriter.create<arith::AddFOp>(loc, args);
}
if (isa<tosa::ReduceSumOp>(op) && elementTy.isa<IntegerType>()) {
return rewriter.create<arith::AddIOp>(loc, args);
}
if (isa<tosa::ReduceProdOp>(op) && elementTy.isa<FloatType>()) {
return rewriter.create<arith::MulFOp>(loc, args);
}
if (isa<tosa::ReduceProdOp>(op) && elementTy.isa<IntegerType>()) {
return rewriter.create<arith::MulIOp>(loc, args);
}
if (isa<tosa::ReduceMinOp>(op) && elementTy.isa<FloatType>()) {
auto predicate = rewriter.create<arith::CmpFOp>(
loc, arith::CmpFPredicate::OLT, args[0], args[1]);
return rewriter.create<arith::SelectOp>(loc, predicate, args[0], args[1]);
}
if (isa<tosa::ReduceMinOp>(op) && elementTy.isa<IntegerType>()) {
auto predicate = rewriter.create<arith::CmpIOp>(
loc, arith::CmpIPredicate::slt, args[0], args[1]);
return rewriter.create<arith::SelectOp>(loc, predicate, args[0], args[1]);
}
if (isa<tosa::ReduceMaxOp>(op) && elementTy.isa<FloatType>()) {
auto predicate = rewriter.create<arith::CmpFOp>(
loc, arith::CmpFPredicate::OGT, args[0], args[1]);
return rewriter.create<arith::SelectOp>(loc, predicate, args[0], args[1]);
}
if (isa<tosa::ReduceMaxOp>(op) && elementTy.isa<IntegerType>()) {
auto predicate = rewriter.create<arith::CmpIOp>(
loc, arith::CmpIPredicate::sgt, args[0], args[1]);
return rewriter.create<arith::SelectOp>(loc, predicate, args[0], args[1]);
}
if (isa<tosa::ReduceAllOp>(op) && elementTy.isInteger(1))
return rewriter.create<arith::AndIOp>(loc, args);
if (isa<tosa::ReduceAnyOp>(op) && elementTy.isInteger(1))
return rewriter.create<arith::OrIOp>(loc, args);
return {};
}
// Performs the match and rewrite for reduction operations. This includes
// declaring a correctly sized initial value, and the linalg.generic operation
// that reduces across the specified axis.
static LogicalResult reduceMatchAndRewriteHelper(Operation *op, uint64_t axis,
PatternRewriter &rewriter) {
auto loc = op->getLoc();
auto inputTy = op->getOperand(0).getType().template cast<ShapedType>();
auto resultTy = op->getResult(0).getType().template cast<ShapedType>();
auto elementTy = resultTy.getElementType();
Value input = op->getOperand(0);
llvm::SmallVector<int64_t> reduceShape;
SmallVector<Value> dynDims;
for (unsigned i = 0; i < inputTy.getRank(); i++) {
if (axis != i) {
reduceShape.push_back(inputTy.getDimSize(i));
if (inputTy.isDynamicDim(i))
dynDims.push_back(rewriter.create<tensor::DimOp>(loc, input, i));
}
}
Type reduceTy = RankedTensorType::get(reduceShape, resultTy.getElementType());
// First fill the output buffer with the init value.
auto initTensor = rewriter
.create<linalg::InitTensorOp>(loc, dynDims, reduceShape,
resultTy.getElementType())
.result();
auto fillValueAttr = createInitialValueForReduceOp(op, elementTy, rewriter);
if (!fillValueAttr)
return rewriter.notifyMatchFailure(
op, "No initial value found for reduction operation");
auto fillValue = rewriter.create<arith::ConstantOp>(loc, fillValueAttr);
auto filledTensor = rewriter
.create<linalg::FillOp>(loc, ValueRange{fillValue},
ValueRange{initTensor})
.result();
SmallVector<AffineExpr, 2> srcExprs;
SmallVector<AffineExpr, 2> dstExprs;
SmallVector<StringRef, 4> iteratorTypes;
for (unsigned int i = 0, rank = inputTy.getRank(); i != rank; ++i) {
srcExprs.push_back(mlir::getAffineDimExpr(i, rewriter.getContext()));
iteratorTypes.push_back(axis == i ? getReductionIteratorTypeName()
: getParallelIteratorTypeName());
if (axis != i)
dstExprs.push_back(mlir::getAffineDimExpr(i, rewriter.getContext()));
}
bool didEncounterError = false;
auto maps = AffineMap::inferFromExprList({srcExprs, dstExprs});
auto linalgOp = rewriter.create<linalg::GenericOp>(
loc, reduceTy, input, filledTensor, maps, iteratorTypes,
[&](OpBuilder &nestedBuilder, Location nestedLoc, ValueRange blockArgs) {
auto result = createLinalgBodyCalculationForReduceOp(
op, blockArgs, elementTy, rewriter);
if (result)
didEncounterError = true;
nestedBuilder.create<linalg::YieldOp>(loc, result);
});
if (!didEncounterError)
return failure();
rewriter.replaceOpWithNewOp<tosa::ReshapeOp>(op, resultTy,
linalgOp.getResults());
return success();
}
static bool findIntermediateShape(ArrayRef<int64_t> lhsShape,
ArrayRef<int64_t> rhsShape,
SmallVector<int64_t> &intermediateShape,
bool isDynamic) {
if (isDynamic) {
// TODO (natashaknk): Make dynamic intermediate shape not always be rank-1
intermediateShape = {-1};
return true;
}
if (lhsShape.empty() || rhsShape.empty()) {
intermediateShape = {};
return true;
}
unsigned currLhsDim = 0, currRhsDim = 0;
while (currLhsDim < lhsShape.size() && currRhsDim < rhsShape.size()) {
int64_t rhsSize = rhsShape[currRhsDim];
int64_t lhsSize = lhsShape[currLhsDim];
while (lhsSize != rhsSize && currLhsDim < lhsShape.size() &&
currRhsDim < rhsShape.size()) {
if (lhsSize < rhsSize) {
currLhsDim++;
lhsSize *= lhsShape[currLhsDim];
} else {
currRhsDim++;
rhsSize *= rhsShape[currRhsDim];
}
}
if (lhsSize == rhsSize) {
intermediateShape.push_back(lhsSize);
}
currRhsDim++;
currLhsDim++;
}
// If the iterators didn't reach the end and their leftover dimensions are not
// equal to 1 an intermediate shape was not found.
while (currLhsDim < lhsShape.size()) {
if (lhsShape[currLhsDim++] != 1) {
return false;
}
}
while (currRhsDim < rhsShape.size()) {
if (rhsShape[currRhsDim++] != 1) {
return false;
}
}
return true;
}
static bool createReassociationMapsForCollapse(
PatternRewriter &rewriter, ArrayRef<int64_t> srcShape,
ArrayRef<int64_t> dstShape,
SmallVector<ReassociationExprs, 4> &reassociationMap, bool isDynamic) {
// If the shape is dynamic, create a map for collapsing into one dimension.
if (isDynamic) {
SmallVector<AffineExpr, 2> exprs;
for (int i = 0, s = srcShape.size(); i < s; ++i)
exprs.push_back(rewriter.getAffineDimExpr(i));
reassociationMap = {exprs};
return true;
}
if (dstShape.empty()) {
reassociationMap = {};
return true;
}
reassociationMap.resize(dstShape.size());
unsigned currSrcDim = 0, currDstDim = 0;
while (currSrcDim < srcShape.size() && currDstDim < dstShape.size()) {
int64_t dstSize = dstShape[currDstDim];
int64_t srcSize = srcShape[currSrcDim];
while (srcSize < dstSize && currSrcDim < srcShape.size()) {
reassociationMap[currDstDim].push_back(
rewriter.getAffineDimExpr(currSrcDim++));
srcSize *= srcShape[currSrcDim];
}
if (srcSize == dstSize) {
reassociationMap[currDstDim].push_back(
rewriter.getAffineDimExpr(currSrcDim++));
// If the next dim in collapsedShape is not 1, treat subsequent dims in
// expandedShape which are 1 to be collapsed.
if (currDstDim == dstShape.size() - 1 || dstShape[currDstDim + 1] != 1) {
while (currSrcDim < srcShape.size() && srcShape[currSrcDim] == 1) {
reassociationMap[currDstDim].push_back(
rewriter.getAffineDimExpr(currSrcDim++));
}
}
}
currDstDim++;
}
// If both iterators didn't reach the end, we have leftover dimentions which
// implies that we have a mismatch in shape.
return currSrcDim == srcShape.size() && currDstDim == dstShape.size();
}
namespace {
template <typename SrcOp>
class PointwiseConverter : public OpRewritePattern<SrcOp> {
public:
using OpRewritePattern<SrcOp>::OpRewritePattern;
LogicalResult matchAndRewrite(SrcOp op,
PatternRewriter &rewriter) const final {
return elementwiseMatchAndRewriteHelper(op, rewriter);
}
};
class ReshapeConverterCollapse : public OpConversionPattern<tosa::ReshapeOp> {
public:
using OpConversionPattern<tosa::ReshapeOp>::OpConversionPattern;
LogicalResult
matchAndRewrite(tosa::ReshapeOp reshape, OpAdaptor adaptor,
ConversionPatternRewriter &rewriter) const final {
ShapedType operandTy = adaptor.input1().getType().cast<ShapedType>();
ShapedType resultTy = reshape.getType().template cast<ShapedType>();
bool isDynamic = !operandTy.hasStaticShape();
if (isDynamic && resultTy.getRank() != 1) {
return rewriter.notifyMatchFailure(
reshape, "Cannot collapse dynamic dims to more than one dimension");
}
if (operandTy == resultTy) {
rewriter.replaceOp(reshape, adaptor.getOperands()[0]);
return success();
}
SmallVector<ReassociationExprs, 4> reassociationMap;
if (!createReassociationMapsForCollapse(rewriter, operandTy.getShape(),
resultTy.getShape(),
reassociationMap, isDynamic)) {
return rewriter.notifyMatchFailure(
reshape,
"tosa.reshape Attempting to collapse into an incompatible shape");
}
SmallVector<int64_t> intermediateShape;
if (!findIntermediateShape(operandTy.getShape(), resultTy.getShape(),
intermediateShape, isDynamic)) {
return rewriter.notifyMatchFailure(
reshape, "tosa.reshape Cannot collapse into given shape");
}
rewriter.replaceOpWithNewOp<tensor::CollapseShapeOp>(