#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_CONVERTTENSORTOSPIRV
#include "mlir/Conversion/Passes.h.inc"
}
using namespace mlir;
namespace {
class ConvertTensorToSPIRVPass
: public impl::ConvertTensorToSPIRVBase<ConvertTensorToSPIRVPass> {
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;
SPIRVTypeConverter typeConverter(targetAttr, options);
RewritePatternSet patterns(context);
arith::populateArithToSPIRVPatterns(typeConverter, patterns);
populateFuncToSPIRVPatterns(typeConverter, patterns);
populateTensorToSPIRVPatterns(typeConverter, 64,
patterns);
populateBuiltinFuncToSPIRVPatterns(typeConverter, patterns);
if (failed(applyPartialConversion(op, *target, std::move(patterns))))
return signalPassFailure();
}
};
}
std::unique_ptr<OperationPass<>> mlir::createConvertTensorToSPIRVPass() {
return std::make_unique<ConvertTensorToSPIRVPass>();
}