* 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 dot_proto.h
* \brief
*/
#ifndef OPS_OP_PROTO_INC_DOT_H_
#define OPS_OP_PROTO_INC_DOT_H_
#include "graph/operator_reg.h"
#include "graph/types.h"
namespace ge {
* @brief Computes the dot product (inner product) of two tensors. This function does not broadcast.
* @par Inputs:
* Two inputs, including:
* @li input_x: A ND Tensor. the first tensor must be 1d. Must be one of the following types:
* float32, float16, bfloat16, uint8, int8, int32. \n
* @li input_y: A ND Tensor. the second tensor must be 1d. Must be one of the following types:
* float32, float16, bfloat16, uint8, int8, int32. \n
* @par Outputs:
* output: A ND Tensor. Result of the two inputs, must be 1d. A ND Tensor of the same dtype as input_x. \n
* @par Third-party framework compatibility
* Compatible with the PyTorch dot operator. \n
*/
REG_OP(Dot)
.INPUT(input_x, TensorType({DT_FLOAT, DT_FLOAT16, DT_BF16, DT_UINT8, DT_INT8, DT_INT32}))
.INPUT(input_y, TensorType({DT_FLOAT, DT_FLOAT16, DT_BF16, DT_UINT8, DT_INT8, DT_INT32}))
.OUTPUT(output, TensorType({DT_FLOAT, DT_FLOAT16, DT_BF16, DT_UINT8, DT_INT8, DT_INT32}))
.OP_END_FACTORY_REG(Dot)
}
#endif
