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- /**
- * Copyright 2019-2020 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.
- */
-
- #ifndef GE_OP_RAGGED_CONVERSION_OPS_H
- #define GE_OP_RAGGED_CONVERSION_OPS_H
- #include "graph/operator_reg.h"
-
- namespace ge {
-
- /**
- *@brief Converts a RaggedTensor into a SparseTensor with the same values.
-
- *@par Inputs:
- *Two inputs, including: \n
- *@li rt_nested_splits: A list of at least 1 Tensor objects with the same type \n
- in: int32, int64. The row_splits for the RaggedTensor.
- *@li rt_dense_values: A Tensor. The flat_values for the RaggedTensor \n
- Must be one of the following types: bool, int8, int16, uint16, int32, \n
- int64, double, float, float16.
-
- *@par Attributes:
- *@li RAGGED_RANK: the dynamic of input rt_nested_splits with type int.
- *@li Tsplits: A required attribute, the type is int64.
-
- *@par Outputs:
- *@li sparse_indices: A Tensor of type int64.
- *@li sparse_values: A Tensor. Has the same type as rt_dense_values.
- *@li sparse_dense_shape: A Tensor of type int64.
-
- */
- REG_OP(RaggedTensorToSparse)
- .DYNAMIC_INPUT(rt_nested_splits, TensorType({DT_INT32, DT_INT64}))
- .INPUT(rt_dense_values, TensorType({DT_BOOL, DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_INT64, DT_DOUBLE, DT_FLOAT, DT_FLOAT16}))
- .OUTPUT(sparse_indices, TensorType({DT_INT64}))
- .OUTPUT(sparse_values, TensorType({DT_BOOL, DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_INT64, DT_DOUBLE, DT_FLOAT, DT_FLOAT16}))
- .OUTPUT(sparse_dense_shape, TensorType({DT_INT64}))
- .ATTR(RAGGED_RANK, Int, 1)
- .ATTR(Tsplits, Type, DT_INT64)
- .OP_END_FACTORY_REG(RaggedTensorToSparse)
- } // namespace ge
- #endif // GE_OP_RAGGED_CONVERSION_OPS_H
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