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