* Copyright (c) 2025 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 broadcast_to_proto.h
* \brief
*/
#ifndef OP_PROTO_BROADCAST_TO_H_
#define OP_PROTO_BROADCAST_TO_H_
#include "graph/operator_reg.h"
namespace ge
{
* @brief Broadcasts an array for a compatible shape.
* Broadcasting is the process of making arrays to have compatible shapes
* for arithmetic operations. Two shapes are compatible if for each
* dimension pair they are either equal or one of them is one. When trying
* to broadcast a Tensor to a shape, it starts with the trailing dimensions,
* and works its way forward.
*
* @par Inputs:
* @li x: A tensor, support all dtype include(BasicType, bool, string, hifloat8, float8_e5m2, float8_e4m3fn).
* @li shape: A tensor.
* A 1D tensor of type int32 or int64, for the shape of the desired output.
*
* @par Outputs:
* y: A tensor. Has the same tensor info of "x".
*
* @par Third-party framework compatibility
* Compatible with the TensorFlow operator BroadcastTo.
*
*/
REG_OP(BroadcastTo)
.INPUT(x, TensorType({BasicType(), DT_BOOL, DT_STRING, DT_HIFLOAT8, DT_FLOAT8_E5M2, DT_FLOAT8_E4M3FN}))
.INPUT(shape, TensorType({DT_INT32, DT_INT64}))
.OUTPUT(y, TensorType({BasicType(), DT_BOOL, DT_STRING, DT_HIFLOAT8, DT_FLOAT8_E5M2, DT_FLOAT8_E4M3FN}))
.OP_END_FACTORY_REG(BroadcastTo)
}
#endif
