* 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 foreach_norm_proto.h
* \brief
*/
#ifndef OPS_OP_PROTO_INC_FOREACH_NORM_H_
#define OPS_OP_PROTO_INC_FOREACH_NORM_H_
#include "graph/operator_reg.h"
namespace ge {
* @brief Apply norm operation for each tensor in a tensor list in manner of element-wise
* @par Inputs:
* Two inputs:
* @li x: A tensor list containing multiple tensors. Shape dimension cannot be greater than 8 dimensions.
* Format supports ND, and data type must be float16, float32 or bfloat16. The list supports a maximum length of 256.
* @li scalar: A scalar with one element, indicating the order of norm.
* Format supports ND, and data type must be int64, float32.
* @par Outputs:
* y: A tensor list which store the tensors whose value are the norm value of the x.
* Shape dimension cannot be greater than 8 dimensions, and shapesize should be 1.
* Format supports ND, and data type must be float16, float32 or bfloat16. The list supports a maximum length of 256.
*/
REG_OP(ForeachNorm)
.DYNAMIC_INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16, DT_BF16}))
.INPUT(scalar, TensorType({DT_FLOAT, DT_INT64}))
.DYNAMIC_OUTPUT(y, TensorType({DT_FLOAT, DT_FLOAT16, DT_BF16}))
.OP_END_FACTORY_REG(ForeachNorm)
}
#endif