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- /**
- * Copyright 2021 Huawei Technologies Co., Ltd
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
- /*!
- * \file deep_md.h
- * \brief
- */
- #ifndef OPS_BUILT_IN_OP_PROTO_INC_DEEP_MD_H_
- #define OPS_BUILT_IN_OP_PROTO_INC_DEEP_MD_H_
-
- #include "graph/operator_reg.h"
-
- namespace ge {
- /**
- * @brief Calculate ProdForceSeA. \n
- *
- * @par Inputs:
- * Five inputs, including:
- * @li net_deriv: A Tensor. Must be one of the following types: float16, float32, float64.
- * @li in_deriv: A Tensor. Must be one of the following types: float16, float32, float64.
- * @li nlist: A Tensor. dtype is int32.
- * @li natoms: A Tensor. dtype is int32. \n
- *
- * @par Outputs:
- * atom_force: A Tensor. Must be one of the following types: float16, float32, float64. \n
- *
- * @par Attributes:
- * Two attributes, including:
- * @li n_a_sel: A Scalar.
- * @li n_r_sel: A Scalar. \n
- *
- * @par Restrictions:
- * Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use.
- */
- REG_OP(ProdForceSeA)
- .INPUT(net_deriv, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE}))
- .INPUT(in_deriv, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE}))
- .INPUT(nlist, TensorType({DT_INT32}))
- .INPUT(natoms, TensorType({DT_INT32}))
- .OUTPUT(atom_force, TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE}))
- .REQUIRED_ATTR(n_a_sel, Int)
- .REQUIRED_ATTR(n_r_sel, Int)
- .OP_END_FACTORY_REG(ProdForceSeA)
- } // namespace ge
-
- #endif // OPS_BUILT_IN_OP_PROTO_INC_DEEP_MD_H_
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