* Copyright (c) 2026 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
* \file shape_proto.h
* \brief
*/
#ifndef SHAPE_PROTO_H_
#define SHAPE_PROTO_H_
#include "graph/operator_reg.h"
namespace ge
{
*@brief Returns the shape of a tensor. \n
*@par Inputs:
*x: A tensor. Must be one of the following types: float32、float16、int8、
int16、uint16、uint8、int32、int64、uint32、uint64、bool、double、string、bfloat16. \n
*@par Attributes:
*dtype: An optional int32 or int64. The output data type. Defaults to int32. \n
*@par Outputs:
*y: A tensor. The shape of the input tensor. \n
*@par Third-party framework compatibility
*Compatible with the TensorFlow operator Size.
*/
REG_OP(Shape)
.INPUT(x, TensorType::ALL())
.OUTPUT(y, TensorType({DT_INT32, DT_INT64}))
.ATTR(dtype, Int, DT_INT32)
.OP_END_FACTORY_REG(Shape)
}
#endif
