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Document Link（文档链接）

https://gitcode.com/cann/ops-nn/blob/master/pooling/adaptive_avg_pool3d/op_graph/adaptive_avg_pool3d_proto.h

Issues Section（问题文档片段）

/**

• 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 adaptive_avg_pool3d_proto.h
• \brief
  */
  #ifndef OPS_POOLING_ADAPTIVE_AVG_POOL3D_PROTO_H_
  #define OPS_POOLING_ADAPTIVE_AVG_POOL3D_PROTO_H_

#include "graph/operator_reg.h"
#include "graph/operator.h"

namespace ge {
/**

• @brief Applies a 3D adaptive average pooling over

• an input signal composed of several input planes.

• @par Inputs:

• One input, including:

• @li x: A Tensor. Must be one of the following data types:

• float16, bfloat16, float32. \n
  

• @par Attributes:

• @li output_size: A required list of 3 ints

• specifying the size (D,H,W) of the output tensor. \n

• @par Outputs:

• @li y: A Tensor. Has the same data type as "x" \n

• @li data_format: An optional string, Specify the data format of the input and

• output data. With the default format "NDHWC" . \n

• @par Third-party framework compatibility

• Compatible with the Pytorch operator AdaptiveAvgPool3d.
  */
  REG_OP(AdaptiveAvgPool3d)
  .INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16, DT_BF16}))
  .OUTPUT(y, TensorType({DT_FLOAT, DT_FLOAT16, DT_BF16}))
  .REQUIRED_ATTR(output_size, ListInt)
  .ATTR(data_format, String, "NDHWC")
  .OP_END_FACTORY_REG(AdaptiveAvgPool3d)

} // namespace ge

#endif // OPS_POOLING_ADAPTIVE_AVG_POOL3D_PROTO_H_

Existing Issues（存在的问题）

原型库未注明输入支持的format，且参数data_format支持的类型未写全