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- /**
- * Copyright 2019 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 condtake_ops.h
- * \brief
- */
- #ifndef OPS_BUILT_IN_OP_PROTO_INC_CONDTAKE_OPS_H_
- #define OPS_BUILT_IN_OP_PROTO_INC_CONDTAKE_OPS_H_
-
- #include "graph/operator_reg.h"
- #include "graph/operator.h"
-
- namespace ge {
- /**
- *@brief Take elements from data if specific condition is satisfied on mask. \n
-
- *@par Inputs:
- *@li data: input tensor from which to take elements, High-dimension input would
- first be flattened.
- *@li mask: condition param; must be the same shape with data. \n
-
- *@par Attributes:
- *@li mode:convert by convert in Mode.
- *@li val:convert by <class 'float'>
- *@li eps:convert by <class 'float'> (default: 1e-06) \n
-
- *@par Outputs:
- *@li out_data: the elements taken
- *@li out_index: the indices corresponding to those elements
- *@li valid_num: elements of out_data and out_index from zeros to valid_num is valid.
- */
-
- REG_OP(CondTake)
- .INPUT(data, TensorType({DT_FLOAT}))
- .INPUT(mask, TensorType({DT_FLOAT}))
- .OUTPUT(out_data, TensorType({DT_FLOAT}))
- .OUTPUT(out_index, TensorType({DT_INT32}))
- .OUTPUT(valid_num, TensorType({DT_INT32}))
- .REQUIRED_ATTR(mode, String)
- .REQUIRED_ATTR(val, Float)
- .ATTR(eps, Float, 1e-06)
- .OP_END_FACTORY_REG(CondTake)
- } // namespace ge
-
- #endif // OPS_BUILT_IN_OP_PROTO_INC_CONDTAKE_OPS_H_
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