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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 slice_write_ops.h
- * \brief
- */
- #ifndef OPS_BUILT_IN_OP_PROTO_INC_SLICE_WRITE_OPS_H_
- #define OPS_BUILT_IN_OP_PROTO_INC_SLICE_WRITE_OPS_H_
-
- #include "graph/operator_reg.h"
-
- namespace ge {
-
- /**
- *@brief write tensor value to tensor x.
- *@par Inputs:
- *x: A Tensor of type float16/float/double/int32/int64. \n
- *begin:A Tensor of type int32/int64. \n
- *value: A Tensor of type float16/float/double/int32/int64.
- *@par Outputs:
- *x: same tensor with input x
- */
- REG_OP(SliceWrite)
- .INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16, DT_DOUBLE, \
- DT_INT32, DT_INT64}))
- .INPUT(begin, TensorType({DT_INT32, DT_INT64}))
- .INPUT(value, TensorType({DT_FLOAT, DT_FLOAT16, DT_DOUBLE, \
- DT_INT32, DT_INT64}))
- .OUTPUT(x, TensorType({DT_FLOAT, DT_FLOAT16, DT_DOUBLE, \
- DT_INT32, DT_INT64}))
- .OP_END_FACTORY_REG(SliceWrite)
-
- } // namespace ge
-
-
- #endif // OPS_BUILT_IN_OP_PROTO_INC_SLICE_WRITE_OPS_H_
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