mirror of https://github.com/llvm/torch-mlir
49 lines
1.7 KiB
C++
49 lines
1.7 KiB
C++
//===----------------------------------------------------------------------===//
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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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//
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//===----------------------------------------------------------------------===//
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#include "npcomp/Dialect/TCP/IR/TCPOps.h"
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#include "mlir/Dialect/Shape/IR/Shape.h"
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using namespace mlir;
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using namespace mlir::NPCOMP;
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using namespace mlir::NPCOMP::tcp;
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//===----------------------------------------------------------------------===//
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// ShapeObserveErrorOp
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//===----------------------------------------------------------------------===//
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LogicalResult ShapeObserveErrorOp::inferReturnTypes(
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MLIRContext *context, Optional<Location> location, ValueRange operands,
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DictionaryAttr attributes, RegionRange regions,
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SmallVectorImpl<Type> &inferredReturnTypes) {
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inferredReturnTypes.push_back(NoneType::get(context));
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return success();
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}
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//===----------------------------------------------------------------------===//
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// GetExtentOp
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//===----------------------------------------------------------------------===//
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LogicalResult
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GetExtentOp::inferReturnTypes(MLIRContext *context, Optional<Location> location,
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ValueRange operands, DictionaryAttr attributes,
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RegionRange regions,
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SmallVectorImpl<Type> &inferredReturnTypes) {
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inferredReturnTypes.push_back(IndexType::get(context));
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return success();
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}
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namespace mlir {
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namespace NPCOMP {
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namespace tcp {
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#define GET_OP_CLASSES
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#include "npcomp/Dialect/TCP/IR/TCPOps.cpp.inc"
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} // namespace tcp
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} // namespace NPCOMP
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} // namespace mlir
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