* 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 minimum_proto.h
* \brief
*/
#ifndef OPS_OP_PROTO_INC_MINIMUM_H_
#define OPS_OP_PROTO_INC_MINIMUM_H_
#include "graph/operator_reg.h"
#include "graph/types.h"
namespace ge {
* @brief Returns the min of "x1" and "x2" (i.e. x1 < x2 ? x1: x2) element-wise. Support broadcasting operations. \n
* @par Inputs:
* Two inputs, include:
* @li x1: A ND Tensor. Must be one of the following types: bfloat16, float32, float16, double, int32, int64, int8,
uint8.
* @li x2: A ND Tensor of the same dtype as "x1". \n
* @par Outputs:
* y: A ND Tensor of the same dtype as "x1". \n
* @par Third-party framework compatibility:
* Compatible with the TensorFlow operator Minimum.
*/
REG_OP(Minimum)
.INPUT(x1, TensorType({DT_BF16, DT_FLOAT, DT_FLOAT16, DT_DOUBLE, DT_INT32, DT_INT64, DT_INT8, DT_UINT8}))
.INPUT(x2, TensorType({DT_BF16, DT_FLOAT, DT_FLOAT16, DT_DOUBLE, DT_INT32, DT_INT64, DT_INT8, DT_UINT8}))
.OUTPUT(y, TensorType({DT_BF16, DT_FLOAT, DT_FLOAT16, DT_DOUBLE, DT_INT32, DT_INT64, DT_INT8, DT_UINT8}))
.OP_END_FACTORY_REG(Minimum)
}
#endif
