mirror of https://github.com/llvm/torch-mlir
66 lines
2.0 KiB
C++
66 lines
2.0 KiB
C++
//===- NumpyDialect.h - Core numpy dialect ----------------------*- C++ -*-===//
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//
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// This file is licensed 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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#ifndef NPCOMP_DIALECT_NUMPY_IR_NUMPY_DIALECT_H
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#define NPCOMP_DIALECT_NUMPY_IR_NUMPY_DIALECT_H
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#include "mlir/IR/Dialect.h"
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#include "mlir/IR/StandardTypes.h"
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#include "npcomp/Typing/Analysis/CPA/Interfaces.h"
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namespace mlir {
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namespace NPCOMP {
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namespace Numpy {
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namespace detail {
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struct NdArrayTypeStorage;
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} // namespace detail
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/// The singleton type representing an unknown dtype.
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class AnyDtypeType : public Type::TypeBase<AnyDtypeType, Type, TypeStorage> {
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public:
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using Base::Base;
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static AnyDtypeType get(MLIRContext *context) { return Base::get(context); }
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};
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class NdArrayType
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: public Type::TypeBase<NdArrayType, Type, detail::NdArrayTypeStorage,
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NPCOMPTypingTypeMapInterface::Trait> {
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public:
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using Base::Base;
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/// Constructs an NdArray with a dtype and no shape. Setting the dtype
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/// to !basicpy.UnknownType will print as ?.
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static NdArrayType get(Type dtype,
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llvm::Optional<ArrayRef<int64_t>> shape = llvm::None);
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/// Returns whether the dtype is a concrete type (versus
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/// !basicpy.UnknownType).
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bool hasKnownDtype();
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Type getDtype();
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/// If the shape has been partially specified, this will have a value.
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/// unknown dimensions are -1.
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llvm::Optional<ArrayRef<int64_t>> getOptionalShape();
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/// Converts to an equivalent TensorType.
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TensorType toTensorType();
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// CPA::TypeMapInterface methods.
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Typing::CPA::TypeNode *mapToCPAType(Typing::CPA::Context &context);
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};
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#include "npcomp/Dialect/Numpy/IR/NumpyOpsDialect.h.inc"
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} // namespace Numpy
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} // namespace NPCOMP
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} // namespace mlir
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#endif // NPCOMP_DIALECT_NUMPY_IR_NUMPY_DIALECT_H
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