mirror of https://github.com/llvm/torch-mlir
72 lines
2.5 KiB
C++
72 lines
2.5 KiB
C++
//===----------------------------------------------------------------------===//
|
|
//
|
|
// 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
|
|
// Also available under a BSD-style license. See LICENSE.
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#include "torch-mlir/Conversion/TorchToMhlo/TorchToMhlo.h"
|
|
|
|
#include "../PassDetail.h"
|
|
#include "./PopulatePatterns.h"
|
|
#include "mlir-hlo/Dialect/mhlo/IR/hlo_ops.h"
|
|
#include "torch-mlir/Conversion/Utils/Utils.h"
|
|
#include "torch-mlir/Dialect/Torch/IR/TorchDialect.h"
|
|
#include "torch-mlir/Dialect/Torch/IR/TorchOps.h"
|
|
#include "torch-mlir/Dialect/Torch/Utils/TorchUpstream.h"
|
|
#include "torch-mlir/Dialect/Torch/Utils/Utils.h"
|
|
#include "torch-mlir/Dialect/TorchConversion/IR/TorchConversionOps.h"
|
|
#include <iostream>
|
|
#include <numeric>
|
|
|
|
using namespace mlir;
|
|
using namespace mlir::torch;
|
|
using namespace mlir::torch::Torch;
|
|
|
|
|
|
namespace {
|
|
template <typename AtenOpT>
|
|
class ConvertAtenOp : public OpConversionPattern<AtenOpT> {
|
|
public:
|
|
using OpConversionPattern<AtenOpT>::OpConversionPattern;
|
|
using OpAdaptor = typename AtenOpT::Adaptor;
|
|
LogicalResult
|
|
matchAndRewrite(AtenOpT op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const override;
|
|
};
|
|
} // namespace
|
|
|
|
// AtenTanhOp
|
|
namespace {
|
|
template <>
|
|
LogicalResult ConvertAtenOp<AtenTanhOp>::matchAndRewrite(
|
|
AtenTanhOp op, OpAdaptor adaptor,
|
|
ConversionPatternRewriter &rewriter) const {
|
|
Value self = adaptor.self();
|
|
auto selfTy = self.getType().cast<TensorType>();
|
|
if (selfTy && selfTy.getElementType().isa<mlir::FloatType>()) {
|
|
rewriter.replaceOpWithNewOp<mhlo::TanhOp>(
|
|
op, getTypeConverter()->convertType(op.getType()), self);
|
|
return success();
|
|
} else {
|
|
return op.emitError(
|
|
"Only floating-point datatype legalization currently supported");
|
|
}
|
|
}
|
|
} // namespace
|
|
|
|
void mlir::torch::torch_to_mhlo::populateBasicOpPatternsAndLegality(
|
|
TypeConverter &typeConverter, RewritePatternSet &patterns,
|
|
ConversionTarget &target) {
|
|
MLIRContext *context = patterns.getContext();
|
|
|
|
#define INSERT_ATENOP_PATTERN(AtenOp) \
|
|
target.addIllegalOp<AtenOp>(); \
|
|
patterns.add<ConvertAtenOp<AtenOp>>(typeConverter, context);
|
|
INSERT_ATENOP_PATTERN(AtenTanhOp);
|
|
#undef INSERT_ATENOP_PATTERN
|
|
|
|
}
|