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//===- ArithToAPFloat.cpp - Arithmetic to APFloat Conversion --------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
#include "Utils.h"
#include "mlir/Conversion/ArithAndMathToAPFloat/ArithToAPFloat.h"
#include "mlir/Dialect/Arith/IR/Arith.h"
#include "mlir/Dialect/Arith/Transforms/Passes.h"
#include "mlir/Dialect/Func/IR/FuncOps.h"
#include "mlir/Dialect/Func/Utils/Utils.h"
#include "mlir/Dialect/Vector/IR/VectorOps.h"
#include "mlir/IR/PatternMatch.h"
#include "mlir/IR/Verifier.h"
#include "mlir/Transforms/WalkPatternRewriteDriver.h"
namespace mlir {
#define GEN_PASS_DEF_ARITHTOAPFLOATCONVERSIONPASS
#include "mlir/Conversion/Passes.h.inc"
} // namespace mlir
using namespace mlir;
using namespace mlir::func;
/// Helper function to look up or create the symbol for a runtime library
/// function for a binary arithmetic operation.
///
/// Parameter 1: APFloat semantics
/// Parameter 2: Left-hand side operand
/// Parameter 3: Right-hand side operand
///
/// This function will return a failure if the function is found but has an
/// unexpected signature.
///
static FailureOr<FuncOp>
lookupOrCreateBinaryFn(OpBuilder &b, SymbolOpInterface symTable, StringRef name,
SymbolTableCollection *symbolTables = nullptr) {
auto i32Type = IntegerType::get(symTable->getContext(), 32);
auto i64Type = IntegerType::get(symTable->getContext(), 64);
std::string funcName = (llvm::Twine("_mlir_apfloat_") + name).str();
return lookupOrCreateFnDecl(b, symTable, funcName,
{i32Type, i64Type, i64Type}, symbolTables);
}
/// Given two operands of vector type and vector result type (with the same
/// shape), call the given function for each pair of scalar operands and
/// package the result into a vector. If the given operands and result type are
/// not vectors, call the function directly. The second operand is optional.
template <typename Fn, typename... Values>
static Value forEachScalarValue(RewriterBase &rewriter, Location loc,
Value operand1, Value operand2, Type resultType,
Fn fn) {
auto vecTy1 = dyn_cast<VectorType>(operand1.getType());
if (operand2) {
// Sanity check: Operand types must match.
assert(vecTy1 == dyn_cast<VectorType>(operand2.getType()) &&
"expected same vector types");
}
if (!vecTy1) {
// Not a vector. Call the function directly.
return fn(operand1, operand2, resultType);
}
// Prepare scalar operands.
ResultRange sclars1 =
vector::ToElementsOp::create(rewriter, loc, operand1)->getResults();
SmallVector<Value> scalars2;
if (!operand2) {
// No second operand. Create a vector of empty values.
scalars2.assign(vecTy1.getNumElements(), Value());
} else {
llvm::append_range(
scalars2,
vector::ToElementsOp::create(rewriter, loc, operand2)->getResults());
}
// Call the function for each pair of scalar operands.
auto resultVecType = cast<VectorType>(resultType);
SmallVector<Value> results;
for (auto [scalar1, scalar2] : llvm::zip_equal(sclars1, scalars2)) {
Value result = fn(scalar1, scalar2, resultVecType.getElementType());
results.push_back(result);
}
// Package the results into a vector.
return vector::FromElementsOp::create(
rewriter, loc,
vecTy1.cloneWith(/*shape=*/std::nullopt, results.front().getType()),
results);
}
/// Check preconditions for the conversion:
/// 1. All operands / results must be integers or floats (or vectors thereof).
/// 2. The bitwidth of the operands / results must be <= 64.
static LogicalResult checkPreconditions(RewriterBase &rewriter, Operation *op) {
for (Value value : llvm::concat<Value>(op->getOperands(), op->getResults())) {
Type type = value.getType();
if (auto vecTy = dyn_cast<VectorType>(type)) {
type = vecTy.getElementType();
}
if (!type.isIntOrFloat()) {
return rewriter.notifyMatchFailure(
op, "only integers and floats (or vectors thereof) are supported");
}
if (type.getIntOrFloatBitWidth() > 64)
return rewriter.notifyMatchFailure(op,
"bitwidth > 64 bits is not supported");
}
return success();
}
/// Rewrite a binary arithmetic operation to an APFloat function call.
template <typename OpTy>
struct BinaryArithOpToAPFloatConversion final : OpRewritePattern<OpTy> {
BinaryArithOpToAPFloatConversion(MLIRContext *context,
const char *APFloatName,
SymbolOpInterface symTable,
PatternBenefit benefit = 1)
: OpRewritePattern<OpTy>(context, benefit), symTable(symTable),
APFloatName(APFloatName) {};
LogicalResult matchAndRewrite(OpTy op,
PatternRewriter &rewriter) const override {
if (failed(checkPreconditions(rewriter, op)))
return failure();
// Get APFloat function from runtime library.
FailureOr<FuncOp> fn =
lookupOrCreateBinaryFn(rewriter, symTable, APFloatName);
if (failed(fn))
return fn;
// Scalarize and convert to APFloat runtime calls.
Location loc = op.getLoc();
rewriter.setInsertionPoint(op);
Value repl = forEachScalarValue(
rewriter, loc, op.getLhs(), op.getRhs(), op.getType(),
[&](Value lhs, Value rhs, Type resultType) {
// Cast operands to 64-bit integers.
auto floatTy = cast<FloatType>(resultType);
auto intWType = rewriter.getIntegerType(floatTy.getWidth());
auto int64Type = rewriter.getI64Type();
Value lhsBits = arith::ExtUIOp::create(
rewriter, loc, int64Type,
arith::BitcastOp::create(rewriter, loc, intWType, lhs));
Value rhsBits = arith::ExtUIOp::create(
rewriter, loc, int64Type,
arith::BitcastOp::create(rewriter, loc, intWType, rhs));
// Call APFloat function.
Value semValue = getAPFloatSemanticsValue(rewriter, loc, floatTy);
SmallVector<Value> params = {semValue, lhsBits, rhsBits};
auto resultOp = func::CallOp::create(rewriter, loc,
TypeRange(rewriter.getI64Type()),
SymbolRefAttr::get(*fn), params);
// Truncate result to the original width.
Value truncatedBits = arith::TruncIOp::create(rewriter, loc, intWType,
resultOp->getResult(0));
return arith::BitcastOp::create(rewriter, loc, floatTy,
truncatedBits);
});
rewriter.replaceOp(op, repl);
return success();
}
SymbolOpInterface symTable;
const char *APFloatName;
};
template <typename OpTy>
struct FpToFpConversion final : OpRewritePattern<OpTy> {
FpToFpConversion(MLIRContext *context, SymbolOpInterface symTable,
PatternBenefit benefit = 1)
: OpRewritePattern<OpTy>(context, benefit), symTable(symTable) {}
LogicalResult matchAndRewrite(OpTy op,
PatternRewriter &rewriter) const override {
if (failed(checkPreconditions(rewriter, op)))
return failure();
// Get APFloat function from runtime library.
auto i32Type = IntegerType::get(symTable->getContext(), 32);
auto i64Type = IntegerType::get(symTable->getContext(), 64);
FailureOr<FuncOp> fn =
lookupOrCreateFnDecl(rewriter, symTable, "_mlir_apfloat_convert",
{i32Type, i32Type, i64Type});
if (failed(fn))
return fn;
// Scalarize and convert to APFloat runtime calls.
Location loc = op.getLoc();
rewriter.setInsertionPoint(op);
Value repl = forEachScalarValue(
rewriter, loc, op.getOperand(), /*operand2=*/Value(), op.getType(),
[&](Value operand1, Value operand2, Type resultType) {
// Cast operands to 64-bit integers.
auto inFloatTy = cast<FloatType>(operand1.getType());
auto inIntWType = rewriter.getIntegerType(inFloatTy.getWidth());
Value operandBits = arith::ExtUIOp::create(
rewriter, loc, i64Type,
arith::BitcastOp::create(rewriter, loc, inIntWType, operand1));
// Call APFloat function.
Value inSemValue = getAPFloatSemanticsValue(rewriter, loc, inFloatTy);
auto outFloatTy = cast<FloatType>(resultType);
Value outSemValue =
getAPFloatSemanticsValue(rewriter, loc, outFloatTy);
std::array<Value, 3> params = {inSemValue, outSemValue, operandBits};
auto resultOp = func::CallOp::create(rewriter, loc,
TypeRange(rewriter.getI64Type()),
SymbolRefAttr::get(*fn), params);
// Truncate result to the original width.
auto outIntWType = rewriter.getIntegerType(outFloatTy.getWidth());
Value truncatedBits = arith::TruncIOp::create(
rewriter, loc, outIntWType, resultOp->getResult(0));
return arith::BitcastOp::create(rewriter, loc, outFloatTy,
truncatedBits);
});
rewriter.replaceOp(op, repl);
return success();
}
SymbolOpInterface symTable;
};
template <typename OpTy>
struct FpToIntConversion final : OpRewritePattern<OpTy> {
FpToIntConversion(MLIRContext *context, SymbolOpInterface symTable,
bool isUnsigned, PatternBenefit benefit = 1)
: OpRewritePattern<OpTy>(context, benefit), symTable(symTable),
isUnsigned(isUnsigned) {}
LogicalResult matchAndRewrite(OpTy op,
PatternRewriter &rewriter) const override {
if (failed(checkPreconditions(rewriter, op)))
return failure();
// Get APFloat function from runtime library.
auto i1Type = IntegerType::get(symTable->getContext(), 1);
auto i32Type = IntegerType::get(symTable->getContext(), 32);
auto i64Type = IntegerType::get(symTable->getContext(), 64);
FailureOr<FuncOp> fn =
lookupOrCreateFnDecl(rewriter, symTable, "_mlir_apfloat_convert_to_int",
{i32Type, i32Type, i1Type, i64Type});
if (failed(fn))
return fn;
// Scalarize and convert to APFloat runtime calls.
Location loc = op.getLoc();
rewriter.setInsertionPoint(op);
Value repl = forEachScalarValue(
rewriter, loc, op.getOperand(), /*operand2=*/Value(), op.getType(),
[&](Value operand1, Value operand2, Type resultType) {
// Cast operands to 64-bit integers.
auto inFloatTy = cast<FloatType>(operand1.getType());
auto inIntWType = rewriter.getIntegerType(inFloatTy.getWidth());
Value operandBits = arith::ExtUIOp::create(
rewriter, loc, i64Type,
arith::BitcastOp::create(rewriter, loc, inIntWType, operand1));
// Call APFloat function.
Value inSemValue = getAPFloatSemanticsValue(rewriter, loc, inFloatTy);
auto outIntTy = cast<IntegerType>(resultType);
Value outWidthValue = arith::ConstantOp::create(
rewriter, loc, i32Type,
rewriter.getIntegerAttr(i32Type, outIntTy.getWidth()));
Value isUnsignedValue = arith::ConstantOp::create(
rewriter, loc, i1Type,
rewriter.getIntegerAttr(i1Type, isUnsigned));
SmallVector<Value> params = {inSemValue, outWidthValue,
isUnsignedValue, operandBits};
auto resultOp = func::CallOp::create(rewriter, loc,
TypeRange(rewriter.getI64Type()),
SymbolRefAttr::get(*fn), params);
// Truncate result to the original width.
return arith::TruncIOp::create(rewriter, loc, outIntTy,
resultOp->getResult(0));
});
rewriter.replaceOp(op, repl);
return success();
}
SymbolOpInterface symTable;
bool isUnsigned;
};
template <typename OpTy>
struct IntToFpConversion final : OpRewritePattern<OpTy> {
IntToFpConversion(MLIRContext *context, SymbolOpInterface symTable,
bool isUnsigned, PatternBenefit benefit = 1)
: OpRewritePattern<OpTy>(context, benefit), symTable(symTable),
isUnsigned(isUnsigned) {}
LogicalResult matchAndRewrite(OpTy op,
PatternRewriter &rewriter) const override {
if (failed(checkPreconditions(rewriter, op)))
return failure();
// Get APFloat function from runtime library.
auto i1Type = IntegerType::get(symTable->getContext(), 1);
auto i32Type = IntegerType::get(symTable->getContext(), 32);
auto i64Type = IntegerType::get(symTable->getContext(), 64);
FailureOr<FuncOp> fn = lookupOrCreateFnDecl(
rewriter, symTable, "_mlir_apfloat_convert_from_int",
{i32Type, i32Type, i1Type, i64Type});
if (failed(fn))
return fn;
// Scalarize and convert to APFloat runtime calls.
Location loc = op.getLoc();
rewriter.setInsertionPoint(op);
Value repl = forEachScalarValue(
rewriter, loc, op.getOperand(), /*operand2=*/Value(), op.getType(),
[&](Value operand1, Value operand2, Type resultType) {
// Cast operands to 64-bit integers.
auto inIntTy = cast<IntegerType>(operand1.getType());
Value operandBits = operand1;
if (operandBits.getType().getIntOrFloatBitWidth() < 64) {
if (isUnsigned) {
operandBits =
arith::ExtUIOp::create(rewriter, loc, i64Type, operandBits);
} else {
operandBits =
arith::ExtSIOp::create(rewriter, loc, i64Type, operandBits);
}
}
// Call APFloat function.
auto outFloatTy = cast<FloatType>(resultType);
Value outSemValue =
getAPFloatSemanticsValue(rewriter, loc, outFloatTy);
Value inWidthValue = arith::ConstantOp::create(
rewriter, loc, i32Type,
rewriter.getIntegerAttr(i32Type, inIntTy.getWidth()));
Value isUnsignedValue = arith::ConstantOp::create(
rewriter, loc, i1Type,
rewriter.getIntegerAttr(i1Type, isUnsigned));
SmallVector<Value> params = {outSemValue, inWidthValue,
isUnsignedValue, operandBits};
auto resultOp = func::CallOp::create(rewriter, loc,
TypeRange(rewriter.getI64Type()),
SymbolRefAttr::get(*fn), params);
// Truncate result to the original width.
auto outIntWType = rewriter.getIntegerType(outFloatTy.getWidth());
Value truncatedBits = arith::TruncIOp::create(
rewriter, loc, outIntWType, resultOp->getResult(0));
return arith::BitcastOp::create(rewriter, loc, outFloatTy,
truncatedBits);
});
rewriter.replaceOp(op, repl);
return success();
}
SymbolOpInterface symTable;
bool isUnsigned;
};
struct CmpFOpToAPFloatConversion final : OpRewritePattern<arith::CmpFOp> {
CmpFOpToAPFloatConversion(MLIRContext *context, SymbolOpInterface symTable,
PatternBenefit benefit = 1)
: OpRewritePattern<arith::CmpFOp>(context, benefit), symTable(symTable) {}
LogicalResult matchAndRewrite(arith::CmpFOp op,
PatternRewriter &rewriter) const override {
if (failed(checkPreconditions(rewriter, op)))
return failure();
// Get APFloat function from runtime library.
auto i1Type = IntegerType::get(symTable->getContext(), 1);
auto i8Type = IntegerType::get(symTable->getContext(), 8);
auto i32Type = IntegerType::get(symTable->getContext(), 32);
auto i64Type = IntegerType::get(symTable->getContext(), 64);
FailureOr<FuncOp> fn =
lookupOrCreateFnDecl(rewriter, symTable, "_mlir_apfloat_compare",
{i32Type, i64Type, i64Type}, nullptr, i8Type);
if (failed(fn))
return fn;
// Scalarize and convert to APFloat runtime calls.
Location loc = op.getLoc();
rewriter.setInsertionPoint(op);
Value repl = forEachScalarValue(
rewriter, loc, op.getLhs(), op.getRhs(), op.getType(),
[&](Value lhs, Value rhs, Type resultType) {
// Cast operands to 64-bit integers.
auto floatTy = cast<FloatType>(lhs.getType());
auto intWType = rewriter.getIntegerType(floatTy.getWidth());
Value lhsBits = arith::ExtUIOp::create(
rewriter, loc, i64Type,
arith::BitcastOp::create(rewriter, loc, intWType, lhs));
Value rhsBits = arith::ExtUIOp::create(
rewriter, loc, i64Type,
arith::BitcastOp::create(rewriter, loc, intWType, rhs));
// Call APFloat function.
Value semValue = getAPFloatSemanticsValue(rewriter, loc, floatTy);
SmallVector<Value> params = {semValue, lhsBits, rhsBits};
Value comparisonResult =
func::CallOp::create(rewriter, loc, TypeRange(i8Type),
SymbolRefAttr::get(*fn), params)
->getResult(0);
// Generate an i1 SSA value that is "true" if the comparison result
// matches the given `val`.
auto checkResult = [&](llvm::APFloat::cmpResult val) {
return arith::CmpIOp::create(
rewriter, loc, arith::CmpIPredicate::eq, comparisonResult,
arith::ConstantOp::create(
rewriter, loc, i8Type,
rewriter.getIntegerAttr(i8Type, static_cast<int8_t>(val)))
.getResult());
};
// Generate an i1 SSA value that is "true" if the comparison result
// matches any of the given `vals`.
std::function<Value(ArrayRef<llvm::APFloat::cmpResult>)>
checkResults = [&](ArrayRef<llvm::APFloat::cmpResult> vals) {
Value first = checkResult(vals.front());
if (vals.size() == 1)
return first;
Value rest = checkResults(vals.drop_front());
return arith::OrIOp::create(rewriter, loc, first, rest)
.getResult();
};
// This switch-case statement was taken from arith::applyCmpPredicate.
Value result;
switch (op.getPredicate()) {
case arith::CmpFPredicate::AlwaysFalse:
result =
arith::ConstantOp::create(rewriter, loc, i1Type,
rewriter.getIntegerAttr(i1Type, 0))
.getResult();
break;
case arith::CmpFPredicate::OEQ:
result = checkResult(llvm::APFloat::cmpEqual);
break;
case arith::CmpFPredicate::OGT:
result = checkResult(llvm::APFloat::cmpGreaterThan);
break;
case arith::CmpFPredicate::OGE:
result = checkResults(
{llvm::APFloat::cmpGreaterThan, llvm::APFloat::cmpEqual});
break;
case arith::CmpFPredicate::OLT:
result = checkResult(llvm::APFloat::cmpLessThan);
break;
case arith::CmpFPredicate::OLE:
result = checkResults(
{llvm::APFloat::cmpLessThan, llvm::APFloat::cmpEqual});
break;
case arith::CmpFPredicate::ONE:
// Not cmpUnordered and not cmpUnordered.
result = checkResults(
{llvm::APFloat::cmpLessThan, llvm::APFloat::cmpGreaterThan});
break;
case arith::CmpFPredicate::ORD:
// Not cmpUnordered.
result = checkResults({llvm::APFloat::cmpLessThan,
llvm::APFloat::cmpGreaterThan,
llvm::APFloat::cmpEqual});
break;
case arith::CmpFPredicate::UEQ:
result = checkResults(
{llvm::APFloat::cmpUnordered, llvm::APFloat::cmpEqual});
break;
case arith::CmpFPredicate::UGT:
result = checkResults(
{llvm::APFloat::cmpUnordered, llvm::APFloat::cmpGreaterThan});
break;
case arith::CmpFPredicate::UGE:
result = checkResults({llvm::APFloat::cmpUnordered,
llvm::APFloat::cmpGreaterThan,
llvm::APFloat::cmpEqual});
break;
case arith::CmpFPredicate::ULT:
result = checkResults(
{llvm::APFloat::cmpUnordered, llvm::APFloat::cmpLessThan});
break;
case arith::CmpFPredicate::ULE:
result = checkResults({llvm::APFloat::cmpUnordered,
llvm::APFloat::cmpLessThan,
llvm::APFloat::cmpEqual});
break;
case arith::CmpFPredicate::UNE:
// Not cmpEqual.
result = checkResults({llvm::APFloat::cmpLessThan,
llvm::APFloat::cmpGreaterThan,
llvm::APFloat::cmpUnordered});
break;
case arith::CmpFPredicate::UNO:
result = checkResult(llvm::APFloat::cmpUnordered);
break;
case arith::CmpFPredicate::AlwaysTrue:
result =
arith::ConstantOp::create(rewriter, loc, i1Type,
rewriter.getIntegerAttr(i1Type, 1))
.getResult();
break;
}
return result;
});
rewriter.replaceOp(op, repl);
return success();
}
SymbolOpInterface symTable;
};
struct NegFOpToAPFloatConversion final : OpRewritePattern<arith::NegFOp> {
NegFOpToAPFloatConversion(MLIRContext *context, SymbolOpInterface symTable,
PatternBenefit benefit = 1)
: OpRewritePattern<arith::NegFOp>(context, benefit), symTable(symTable) {}
LogicalResult matchAndRewrite(arith::NegFOp op,
PatternRewriter &rewriter) const override {
if (failed(checkPreconditions(rewriter, op)))
return failure();
// Get APFloat function from runtime library.
auto i32Type = IntegerType::get(symTable->getContext(), 32);
auto i64Type = IntegerType::get(symTable->getContext(), 64);
FailureOr<FuncOp> fn = lookupOrCreateFnDecl(
rewriter, symTable, "_mlir_apfloat_neg", {i32Type, i64Type});
if (failed(fn))
return fn;
// Scalarize and convert to APFloat runtime calls.
Location loc = op.getLoc();
rewriter.setInsertionPoint(op);
Value repl = forEachScalarValue(
rewriter, loc, op.getOperand(), /*operand2=*/Value(), op.getType(),
[&](Value operand1, Value operand2, Type resultType) {
// Cast operands to 64-bit integers.
auto floatTy = cast<FloatType>(operand1.getType());
auto intWType = rewriter.getIntegerType(floatTy.getWidth());
Value operandBits = arith::ExtUIOp::create(
rewriter, loc, i64Type,
arith::BitcastOp::create(rewriter, loc, intWType, operand1));
// Call APFloat function.
Value semValue = getAPFloatSemanticsValue(rewriter, loc, floatTy);
SmallVector<Value> params = {semValue, operandBits};
Value negatedBits =
func::CallOp::create(rewriter, loc, TypeRange(i64Type),
SymbolRefAttr::get(*fn), params)
->getResult(0);
// Truncate result to the original width.
Value truncatedBits =
arith::TruncIOp::create(rewriter, loc, intWType, negatedBits);
return arith::BitcastOp::create(rewriter, loc, floatTy,
truncatedBits);
});
rewriter.replaceOp(op, repl);
return success();
}
SymbolOpInterface symTable;
};
namespace {
struct ArithToAPFloatConversionPass final
: impl::ArithToAPFloatConversionPassBase<ArithToAPFloatConversionPass> {
using Base::Base;
void runOnOperation() override;
};
void ArithToAPFloatConversionPass::runOnOperation() {
MLIRContext *context = &getContext();
RewritePatternSet patterns(context);
patterns.add<BinaryArithOpToAPFloatConversion<arith::AddFOp>>(context, "add",
getOperation());
patterns.add<BinaryArithOpToAPFloatConversion<arith::SubFOp>>(
context, "subtract", getOperation());
patterns.add<BinaryArithOpToAPFloatConversion<arith::MulFOp>>(
context, "multiply", getOperation());
patterns.add<BinaryArithOpToAPFloatConversion<arith::DivFOp>>(
context, "divide", getOperation());
patterns.add<BinaryArithOpToAPFloatConversion<arith::RemFOp>>(
context, "remainder", getOperation());
patterns.add<BinaryArithOpToAPFloatConversion<arith::MinNumFOp>>(
context, "minnum", getOperation());
patterns.add<BinaryArithOpToAPFloatConversion<arith::MaxNumFOp>>(
context, "maxnum", getOperation());
patterns.add<BinaryArithOpToAPFloatConversion<arith::MinimumFOp>>(
context, "minimum", getOperation());
patterns.add<BinaryArithOpToAPFloatConversion<arith::MaximumFOp>>(
context, "maximum", getOperation());
patterns
.add<FpToFpConversion<arith::ExtFOp>, FpToFpConversion<arith::TruncFOp>,
CmpFOpToAPFloatConversion, NegFOpToAPFloatConversion>(
context, getOperation());
patterns.add<FpToIntConversion<arith::FPToSIOp>>(context, getOperation(),
/*isUnsigned=*/false);
patterns.add<FpToIntConversion<arith::FPToUIOp>>(context, getOperation(),
/*isUnsigned=*/true);
patterns.add<IntToFpConversion<arith::SIToFPOp>>(context, getOperation(),
/*isUnsigned=*/false);
patterns.add<IntToFpConversion<arith::UIToFPOp>>(context, getOperation(),
/*isUnsigned=*/true);
LogicalResult result = success();
ScopedDiagnosticHandler scopedHandler(context, [&result](Diagnostic &diag) {
if (diag.getSeverity() == DiagnosticSeverity::Error) {
result = failure();
}
// NB: if you don't return failure, no other diag handlers will fire (see
// mlir/lib/IR/Diagnostics.cpp:DiagnosticEngineImpl::emit).
return failure();
});
walkAndApplyPatterns(getOperation(), std::move(patterns));
if (failed(result))
return signalPassFailure();
}
} // namespace