blob: 8496d227c339d3506102de1f37835c3780f04203 [file] [log] [blame]
//===- TosaToStandard.cpp - Lowering Tosa to Standard 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 Standard dialect.
//
//===----------------------------------------------------------------------===//
#include "mlir/Conversion/TosaToStandard/TosaToStandard.h"
#include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
#include "mlir/Dialect/StandardOps/IR/Ops.h"
#include "mlir/Dialect/Tensor/IR/Tensor.h"
#include "mlir/Dialect/Tosa/IR/TosaOps.h"
#include "mlir/IR/PatternMatch.h"
#include "mlir/Transforms/GreedyPatternRewriteDriver.h"
using namespace mlir;
using namespace tosa;
namespace {
class ConstOpConverter : public OpRewritePattern<tosa::ConstOp> {
public:
using OpRewritePattern<tosa::ConstOp>::OpRewritePattern;
LogicalResult matchAndRewrite(tosa::ConstOp op,
PatternRewriter &rewriter) const final {
rewriter.replaceOpWithNewOp<arith::ConstantOp>(op, op.value());
return success();
}
};
class SliceOpConverter : public OpRewritePattern<tosa::SliceOp> {
public:
using OpRewritePattern<tosa::SliceOp>::OpRewritePattern;
LogicalResult matchAndRewrite(tosa::SliceOp sliceOp,
PatternRewriter &rewriter) const final {
Value input = sliceOp.input();
SmallVector<int64_t> strides;
strides.resize(sliceOp.getType().template cast<ShapedType>().getRank(), 1);
rewriter.replaceOpWithNewOp<tensor::ExtractSliceOp>(
sliceOp, sliceOp.getType(), input, ValueRange({}), ValueRange({}),
ValueRange({}), sliceOp.start(), sliceOp.size(),
rewriter.getI64ArrayAttr(strides));
return success();
}
};
// This converts the TOSA ApplyScale operator to a set of StandardOps ops,
// using 64-bit operations to perform the necessary multiply, bias, and shift.
// Multiple types are used to use minimal bit width operations.
class ApplyScaleOpConverter : public OpRewritePattern<tosa::ApplyScaleOp> {
public:
using OpRewritePattern<tosa::ApplyScaleOp>::OpRewritePattern;
LogicalResult matchAndRewrite(tosa::ApplyScaleOp op,
PatternRewriter &rewriter) const final {
Location loc = op.getLoc();
Value value32 = op.value();
Value multiplier32 = op.multiplier();
Value shift8 = op.shift();
bool doubleRound = op.double_round();
Type inType = op.value().getType();
Value one8 = rewriter.create<arith::ConstantOp>(
loc, rewriter.getIntegerAttr(rewriter.getIntegerType(8), 1));
Value one64 = rewriter.create<arith::ConstantOp>(
loc, rewriter.getIntegerAttr(rewriter.getI64Type(), 1));
Value shiftSubOne8 = rewriter.create<arith::SubIOp>(loc, shift8, one8);
// The rounding value semantics below equate to the following code:
// int64_t round = 1 << (shift - 1);
// if (double_round) {
// if (shift > 31 && value >= 0) round += 1<<30;
// if (shift > 31 && value < 0) round -= 1<<30;
// }
//
// Note that minimal bitwidth operators are used throughout the block.
Value round64 = rewriter.create<arith::ShLIOp>(
loc, one64,
rewriter.create<arith::ExtSIOp>(loc, rewriter.getI64Type(),
shiftSubOne8));
// Double rounding is performing a round operation before the shift
if (doubleRound) {
Value one32 = rewriter.create<arith::ConstantOp>(
loc, rewriter.getIntegerAttr(rewriter.getI32Type(), 1));
Value shift32 =
rewriter.create<arith::ExtSIOp>(loc, rewriter.getI32Type(), shift8);
Value thirty32 = rewriter.create<arith::ConstantOp>(
loc, rewriter.getIntegerAttr(rewriter.getI32Type(), 30));
Value shiftThirty32 =
rewriter.create<arith::ShLIOp>(loc, one32, thirty32);
Value shiftThirty64 = rewriter.create<arith::ExtSIOp>(
loc, rewriter.getI64Type(), shiftThirty32);
// Round value needs to with be added or subtracted depending on the sign
// of the input value.
Value roundAdd64 =
rewriter.create<arith::AddIOp>(loc, round64, shiftThirty64);
Value roundSub64 =
rewriter.create<arith::SubIOp>(loc, round64, shiftThirty64);
Value zero32 =
rewriter.create<arith::ConstantOp>(loc, rewriter.getZeroAttr(inType));
Value valueGreaterThanZero = rewriter.create<arith::CmpIOp>(
loc, arith::CmpIPredicate::sge, value32, zero32);
Value doubleRound64 = rewriter.create<mlir::SelectOp>(
loc, valueGreaterThanZero, roundAdd64, roundSub64);
// We only perform double rounding if the shift value is greater than 32.
Value thirtyTwo32 = rewriter.create<arith::ConstantOp>(
loc, rewriter.getIntegerAttr(rewriter.getI32Type(), 32));
Value shiftGreaterThanThirtyTwo = rewriter.create<arith::CmpIOp>(
loc, arith::CmpIPredicate::sge, shift32, thirtyTwo32);
round64 = rewriter.create<mlir::SelectOp>(loc, shiftGreaterThanThirtyTwo,
doubleRound64, round64);
}
// The computation below equates to the following pseudocode:
// int64_t result = (int64_t)value * multiplier + round;
// result = result >> shift;
//
// Note that multiply and shift need to be perform in i64 to preserve bits.
Value value64 =
rewriter.create<arith::ExtSIOp>(loc, rewriter.getI64Type(), value32);
Value multiplier64 = rewriter.create<arith::ExtSIOp>(
loc, rewriter.getI64Type(), multiplier32);
Value shift64 =
rewriter.create<arith::ExtSIOp>(loc, rewriter.getI64Type(), shift8);
// Multiply as a pair of i64 values to guarantee the end value fits.
Value result64 = rewriter.create<arith::MulIOp>(loc, value64, multiplier64);
result64 = rewriter.create<arith::AddIOp>(loc, result64, round64);
result64 = rewriter.create<arith::ShRSIOp>(loc, result64, shift64);
Value result32 =
rewriter.create<arith::TruncIOp>(loc, rewriter.getI32Type(), result64);
rewriter.replaceOp(op, result32);
return success();
}
};
} // namespace
void mlir::tosa::populateTosaToStandardConversionPatterns(
RewritePatternSet *patterns) {
patterns->add<ApplyScaleOpConverter, ConstOpConverter, SliceOpConverter>(
patterns->getContext());
}
void mlir::tosa::populateTosaRescaleToStandardConversionPatterns(
RewritePatternSet *patterns) {
patterns->add<ApplyScaleOpConverter>(patterns->getContext());
}