54eee1e947
Reapply https://github.com/llvm/llvm-project/pull/171221 - Fix builder by linking `MLIRTransformUtils`. Also move headers to `mlir/Conversion/ArithAndMathToAPFloat`.
220 lines
9.0 KiB
C++
220 lines
9.0 KiB
C++
//===- MathToAPFloat.cpp - Mathmetic to APFloat Conversion ----------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "Utils.h"
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#include "mlir/Conversion/ArithAndMathToAPFloat/MathToAPFloat.h"
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#include "mlir/Dialect/Func/IR/FuncOps.h"
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#include "mlir/Dialect/Func/Utils/Utils.h"
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#include "mlir/Dialect/Math/IR/Math.h"
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#include "mlir/Dialect/Math/Transforms/Passes.h"
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#include "mlir/Dialect/Vector/IR/VectorOps.h"
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#include "mlir/IR/PatternMatch.h"
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#include "mlir/IR/Verifier.h"
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#include "mlir/Transforms/WalkPatternRewriteDriver.h"
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namespace mlir {
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#define GEN_PASS_DEF_MATHTOAPFLOATCONVERSIONPASS
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#include "mlir/Conversion/Passes.h.inc"
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} // namespace mlir
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using namespace mlir;
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using namespace mlir::func;
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struct AbsFOpToAPFloatConversion final : OpRewritePattern<math::AbsFOp> {
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AbsFOpToAPFloatConversion(MLIRContext *context, SymbolOpInterface symTable,
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PatternBenefit benefit = 1)
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: OpRewritePattern<math::AbsFOp>(context, benefit), symTable(symTable) {}
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LogicalResult matchAndRewrite(math::AbsFOp op,
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PatternRewriter &rewriter) const override {
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// Cast operands to 64-bit integers.
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auto operand = op.getOperand();
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auto floatTy = dyn_cast<FloatType>(operand.getType());
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if (!floatTy)
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return rewriter.notifyMatchFailure(op,
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"only scalar FloatTypes supported");
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if (floatTy.getIntOrFloatBitWidth() > 64) {
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return rewriter.notifyMatchFailure(op,
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"bitwidth > 64 bits is not supported");
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}
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// Get APFloat function from runtime library.
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auto i32Type = IntegerType::get(symTable->getContext(), 32);
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auto i64Type = IntegerType::get(symTable->getContext(), 64);
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FailureOr<FuncOp> fn = lookupOrCreateFnDecl(
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rewriter, symTable, "_mlir_apfloat_abs", {i32Type, i64Type});
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if (failed(fn))
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return fn;
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Location loc = op.getLoc();
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rewriter.setInsertionPoint(op);
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auto intWType = rewriter.getIntegerType(floatTy.getWidth());
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Value operandBits = arith::ExtUIOp::create(
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rewriter, loc, i64Type,
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arith::BitcastOp::create(rewriter, loc, intWType, operand));
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// Call APFloat function.
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Value semValue = getAPFloatSemanticsValue(rewriter, loc, floatTy);
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SmallVector<Value> params = {semValue, operandBits};
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Value negatedBits = func::CallOp::create(rewriter, loc, TypeRange(i64Type),
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SymbolRefAttr::get(*fn), params)
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->getResult(0);
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// Truncate result to the original width.
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Value truncatedBits =
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arith::TruncIOp::create(rewriter, loc, intWType, negatedBits);
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rewriter.replaceOp(
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op, arith::BitcastOp::create(rewriter, loc, floatTy, truncatedBits));
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return success();
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}
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SymbolOpInterface symTable;
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};
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template <typename OpTy>
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struct IsOpToAPFloatConversion final : OpRewritePattern<OpTy> {
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IsOpToAPFloatConversion(MLIRContext *context, const char *APFloatName,
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SymbolOpInterface symTable,
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PatternBenefit benefit = 1)
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: OpRewritePattern<OpTy>(context, benefit), symTable(symTable),
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APFloatName(APFloatName) {};
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LogicalResult matchAndRewrite(OpTy op,
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PatternRewriter &rewriter) const override {
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// Cast operands to 64-bit integers.
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auto operand = op.getOperand();
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auto floatTy = dyn_cast<FloatType>(operand.getType());
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if (!floatTy)
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return rewriter.notifyMatchFailure(op,
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"only scalar FloatTypes supported");
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if (floatTy.getIntOrFloatBitWidth() > 64) {
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return rewriter.notifyMatchFailure(op,
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"bitwidth > 64 bits is not supported");
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}
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// Get APFloat function from runtime library.
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auto i1 = IntegerType::get(symTable->getContext(), 1);
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auto i32Type = IntegerType::get(symTable->getContext(), 32);
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auto i64Type = IntegerType::get(symTable->getContext(), 64);
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std::string funcName =
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(llvm::Twine("_mlir_apfloat_is") + APFloatName).str();
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FailureOr<FuncOp> fn = lookupOrCreateFnDecl(
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rewriter, symTable, funcName, {i32Type, i64Type}, nullptr, i1);
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if (failed(fn))
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return fn;
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Location loc = op.getLoc();
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rewriter.setInsertionPoint(op);
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auto intWType = rewriter.getIntegerType(floatTy.getWidth());
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Value operandBits = arith::ExtUIOp::create(
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rewriter, loc, i64Type,
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arith::BitcastOp::create(rewriter, loc, intWType, operand));
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// Call APFloat function.
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Value semValue = getAPFloatSemanticsValue(rewriter, loc, floatTy);
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SmallVector<Value> params = {semValue, operandBits};
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rewriter.replaceOpWithNewOp<func::CallOp>(op, TypeRange(i1),
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SymbolRefAttr::get(*fn), params);
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return success();
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}
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SymbolOpInterface symTable;
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const char *APFloatName;
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};
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struct FmaOpToAPFloatConversion final : OpRewritePattern<math::FmaOp> {
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FmaOpToAPFloatConversion(MLIRContext *context, SymbolOpInterface symTable,
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PatternBenefit benefit = 1)
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: OpRewritePattern<math::FmaOp>(context, benefit), symTable(symTable) {};
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LogicalResult matchAndRewrite(math::FmaOp op,
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PatternRewriter &rewriter) const override {
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// Cast operands to 64-bit integers.
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auto floatTy = cast<FloatType>(op.getResult().getType());
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if (!floatTy)
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return rewriter.notifyMatchFailure(op,
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"only scalar FloatTypes supported");
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if (floatTy.getIntOrFloatBitWidth() > 64) {
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return rewriter.notifyMatchFailure(op,
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"bitwidth > 64 bits is not supported");
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}
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auto i32Type = IntegerType::get(symTable->getContext(), 32);
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auto i64Type = IntegerType::get(symTable->getContext(), 64);
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FailureOr<FuncOp> fn = lookupOrCreateFnDecl(
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rewriter, symTable, "_mlir_apfloat_fused_multiply_add",
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{i32Type, i64Type, i64Type, i64Type});
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if (failed(fn))
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return fn;
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Location loc = op.getLoc();
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rewriter.setInsertionPoint(op);
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auto intWType = rewriter.getIntegerType(floatTy.getWidth());
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auto int64Type = rewriter.getI64Type();
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Value operand = arith::ExtUIOp::create(
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rewriter, loc, int64Type,
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arith::BitcastOp::create(rewriter, loc, intWType, op.getA()));
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Value multiplicand = arith::ExtUIOp::create(
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rewriter, loc, int64Type,
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arith::BitcastOp::create(rewriter, loc, intWType, op.getB()));
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Value addend = arith::ExtUIOp::create(
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rewriter, loc, int64Type,
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arith::BitcastOp::create(rewriter, loc, intWType, op.getC()));
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// Call APFloat function.
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Value semValue = getAPFloatSemanticsValue(rewriter, loc, floatTy);
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SmallVector<Value> params = {semValue, operand, multiplicand, addend};
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auto resultOp =
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func::CallOp::create(rewriter, loc, TypeRange(rewriter.getI64Type()),
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SymbolRefAttr::get(*fn), params);
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// Truncate result to the original width.
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Value truncatedBits = arith::TruncIOp::create(rewriter, loc, intWType,
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resultOp->getResult(0));
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rewriter.replaceOpWithNewOp<arith::BitcastOp>(op, floatTy, truncatedBits);
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return success();
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}
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SymbolOpInterface symTable;
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};
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namespace {
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struct MathToAPFloatConversionPass final
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: impl::MathToAPFloatConversionPassBase<MathToAPFloatConversionPass> {
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using Base::Base;
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void runOnOperation() override;
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};
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void MathToAPFloatConversionPass::runOnOperation() {
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MLIRContext *context = &getContext();
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RewritePatternSet patterns(context);
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patterns.add<AbsFOpToAPFloatConversion>(context, getOperation());
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patterns.add<IsOpToAPFloatConversion<math::IsFiniteOp>>(context, "finite",
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getOperation());
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patterns.add<IsOpToAPFloatConversion<math::IsInfOp>>(context, "infinite",
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getOperation());
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patterns.add<IsOpToAPFloatConversion<math::IsNaNOp>>(context, "nan",
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getOperation());
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patterns.add<IsOpToAPFloatConversion<math::IsNormalOp>>(context, "normal",
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getOperation());
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patterns.add<FmaOpToAPFloatConversion>(context, getOperation());
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LogicalResult result = success();
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ScopedDiagnosticHandler scopedHandler(context, [&result](Diagnostic &diag) {
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if (diag.getSeverity() == DiagnosticSeverity::Error) {
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result = failure();
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}
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// NB: if you don't return failure, no other diag handlers will fire (see
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// mlir/lib/IR/Diagnostics.cpp:DiagnosticEngineImpl::emit).
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return failure();
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});
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walkAndApplyPatterns(getOperation(), std::move(patterns));
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if (failed(result))
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return signalPassFailure();
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}
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} // namespace
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