llvm-project/mlir/lib/Conversion/TensorToSPIRV/TensorToSPIRVPass.cpp
Md Abdullah Shahneous Bari b9a627e6fb
[mlir][spirv] Add 8-bit float type emulation (#148811)
8-bit floats are not supported in SPIR-V. They are emulated as 8-bit
integer during conversion.
2025-07-30 17:39:49 -05:00

59 lines
2.2 KiB
C++

//===- TensorToSPIRVPass.cpp - Tensor to SPIR-V Passes ----------------===//
//
// 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 a pass to convert Tensor dialect to SPIR-V dialect.
//
//===----------------------------------------------------------------------===//
#include "mlir/Conversion/TensorToSPIRV/TensorToSPIRVPass.h"
#include "mlir/Conversion/ArithToSPIRV/ArithToSPIRV.h"
#include "mlir/Conversion/FuncToSPIRV/FuncToSPIRV.h"
#include "mlir/Conversion/TensorToSPIRV/TensorToSPIRV.h"
#include "mlir/Dialect/SPIRV/IR/SPIRVDialect.h"
#include "mlir/Dialect/SPIRV/Transforms/SPIRVConversion.h"
namespace mlir {
#define GEN_PASS_DEF_CONVERTTENSORTOSPIRVPASS
#include "mlir/Conversion/Passes.h.inc"
} // namespace mlir
using namespace mlir;
namespace {
/// A pass converting MLIR Tensor operations into the SPIR-V dialect.
class ConvertTensorToSPIRVPass
: public impl::ConvertTensorToSPIRVPassBase<ConvertTensorToSPIRVPass> {
using Base::Base;
void runOnOperation() override {
MLIRContext *context = &getContext();
Operation *op = getOperation();
auto targetAttr = spirv::lookupTargetEnvOrDefault(op);
std::unique_ptr<ConversionTarget> target =
SPIRVConversionTarget::get(targetAttr);
SPIRVConversionOptions options;
options.emulateLT32BitScalarTypes = this->emulateLT32BitScalarTypes;
options.emulateUnsupportedFloatTypes = this->emulateUnsupportedFloatTypes;
SPIRVTypeConverter typeConverter(targetAttr, options);
RewritePatternSet patterns(context);
arith::populateArithToSPIRVPatterns(typeConverter, patterns);
populateFuncToSPIRVPatterns(typeConverter, patterns);
populateTensorToSPIRVPatterns(typeConverter, /*byteCountThreshold=*/64,
patterns);
populateBuiltinFuncToSPIRVPatterns(typeConverter, patterns);
if (failed(applyPartialConversion(op, *target, std::move(patterns))))
return signalPassFailure();
}
};
} // namespace