* 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.
*/
#ifndef OP_API_INC_TRANS_CONVOLUTION_WEIGHT_H
#define OP_API_INC_TRANS_CONVOLUTION_WEIGHT_H
#include "aclnn/aclnn_base.h"
#include "aclnn_util.h"
#ifdef __cplusplus
extern "C" {
#endif
* @brief
* aclnnCalculateConvolutionWeightSize用于计算调用aclnnconvolution传入的weighttensor需要占用的元素大小
*
*
* @param [in] tensorShape: 用于表达该次Convolution载入矩阵的weight的Shape
* @param [in] transposed: 用于表达该次Convolution类型, 是否反向
* @param [in] groups: 用于表达该次Convolution的group
* @param [in] dataType: 输入Weight的Datatype, 目前仅支持Float16
* @param [out] weightTensorSize: 根据Convolution内部处理逻辑,计算该输入下Weight转换之后需要多少个元素的数据量
* @return aclnnStatus: 返回状态码。
*/
ACLNN_API aclnnStatus aclnnCalculateConvolutionWeightSize(const aclIntArray* tensorShape, bool transposed,
int64_t groups, aclDataType dataType,
uint64_t* weightTensorSize);
* @brief aclnnTransConvolutionWeight的第一段接口,根据具体的计算流程,计算workspace大小。
* @domain aclnn_ops_infer
*
* 算子功能:将输入tensor转换为指定的dtype\format类型。
*
* @param [in] weightIn: 输入是一个待处理的Convolution的weightTensor,格式是正常的ND输入,数据类型支持Float16/Float32
* 经过此接口处理后此tensor被刷新为预处理后的weightTensor格式根据亲和性进行私有格式的转换, 并且cast为float16数据类型
* @param [in] transposed: 用于表达该次Convolution类型, 是否反向
* @param [in] groups: 用于表达该次Convolution的group
* @param [out] weightOut: 返回输入weight转换为私有格式后的tensor
* @param [out] workspaceSize: 返回用户需要在npu device侧申请的workspace大小。
* @param [out] executor: 返回op执行器,包含算子计算流程。
* @return aclnnStatus: 返回状态码。
*/
ACLNN_API aclnnStatus aclnnTransConvolutionWeightGetWorkspaceSize(const aclTensor* weightIn, bool transposed,
const int64_t groups, aclTensor* weightOut,
uint64_t* workspaceSize, aclOpExecutor** executor);
* @brief aclnnTransConvolutionWeight的第二段接口,用于执行计算。
*
* 算子功能:将输入tensor转换为指定的dtype\format类型。
*
* @param [in] workspace: 在npu device侧申请的workspace内存起址。
* @param [in] workspaceSize: 在npu
* device侧申请的workspace大小,由第一段接口aclnnTransConvolutionWeightGetWorkspaceSize获取。
* @param [in] executor: op执行器,包含了算子计算流程。
* @param [in] stream: acl stream流。
* @return aclnnStatus: 返回状态码。
*/
ACLNN_API aclnnStatus aclnnTransConvolutionWeight(void* workspace, uint64_t workspaceSize, aclOpExecutor* executor,
aclrtStream stream);
#ifdef __cplusplus
}
#endif
#endif