torch-mlir/include/npcomp/Dialect/Numpy/IR/NumpyDialect.h

67 lines
1.8 KiB
C++

//===- NumpyDialect.h - Core numpy dialect ----------------------*- C++ -*-===//
//
// This file is licensed 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
//
//===----------------------------------------------------------------------===//
#ifndef NPCOMP_DIALECT_NUMPY_IR_NUMPY_DIALECT_H
#define NPCOMP_DIALECT_NUMPY_IR_NUMPY_DIALECT_H
#include "mlir/IR/Dialect.h"
#include "npcomp/Dialect/Common.h"
#include "npcomp/Typing/Analysis/CPA/Interfaces.h"
namespace mlir {
namespace NPCOMP {
namespace Numpy {
namespace NumpyTypes {
enum Kind {
AnyDtypeType = TypeRanges::Numpy,
NdArray,
LAST_NUMPY_TYPE = AnyDtypeType,
};
} // namespace NumpyTypes
namespace detail {
struct NdArrayTypeStorage;
} // namespace detail
/// The singleton type representing an unknown dtype.
class AnyDtypeType : public Type::TypeBase<AnyDtypeType, Type, TypeStorage> {
public:
using Base::Base;
static AnyDtypeType get(MLIRContext *context) {
return Base::get(context, NumpyTypes::Kind::AnyDtypeType);
}
static bool kindof(unsigned kind) {
return kind == NumpyTypes::Kind::AnyDtypeType;
}
};
class NdArrayType
: public Type::TypeBase<NdArrayType, Type, detail::NdArrayTypeStorage,
NPCOMPTypingTypeMapInterface::Trait> {
public:
using Base::Base;
static bool kindof(unsigned kind) { return kind == NumpyTypes::NdArray; }
static NdArrayType get(Type optionalDtype);
bool hasKnownDtype();
Type getDtype();
// CPA::TypeMapInterface methods.
Typing::CPA::TypeNode *mapToCPAType(Typing::CPA::Context &context);
};
#include "npcomp/Dialect/Numpy/IR/NumpyOpsDialect.h.inc"
} // namespace Numpy
} // namespace NPCOMP
} // namespace mlir
#endif // NPCOMP_DIALECT_NUMPY_IR_NUMPY_DIALECT_H