|
- /**
- * 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 case_condition_ops.h
- * \brief
- */
- #ifndef OPS_BUILT_IN_OP_PROTO_INC_CASE_CONDITION_OPS_H_
- #define OPS_BUILT_IN_OP_PROTO_INC_CASE_CONDITION_OPS_H_
-
- #include "graph/operator_reg.h"
-
- namespace ge {
- /**
- *@brief x[0] is i, x[1] is j and x[2] is k when algorithm is LU,
- y = 0 when i >= k && j < k,
- y = 1 when i == k && j == k,
- y = 2 when i > k && j == k,
- y = 3 when i == k && j > k,
- y = 4 when i > k && j > k,
- default y = 5
- use for lu decomposition
- *@par Inputs:
- *x: A Tensor of type int32/int64/uint64. \n
-
- *@par Attributes:
- *algorithm: A string, only support LU now
- *@par Outputs:
- *y: A Tensor of type int32
- */
- REG_OP(CaseCondition)
- .INPUT(x, TensorType({DT_INT32, DT_INT64, DT_UINT64}))
- .OUTPUT(y, TensorType({DT_INT32}))
- .ATTR(algorithm, String, "LU")
- .OP_END_FACTORY_REG(CaseCondition)
-
- } // namespace ge
-
-
- #endif // OPS_BUILT_IN_OP_PROTO_INC_CASE_CONDITION_OPS_H_
|