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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_SET_OPS_H_
- #define GE_OP_SET_OPS_H_
-
- #include "graph/operator.h"
- #include "graph/operator_reg.h"
-
- namespace ge {
-
- REG_OP(DenseToDenseSetOperation)
- .INPUT(x1, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
- DT_INT32, DT_INT64, DT_STRING}))
- .INPUT(x2, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
- DT_INT32, DT_INT64, DT_STRING}))
- .OUTPUT(y_indices, TensorType({DT_INT64}))
- .OUTPUT(y_values, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
- DT_INT32, DT_INT64, DT_STRING}))
- .OUTPUT(y_shape, TensorType({DT_INT64}))
- .ATTR(set_operation, String, "")
- .ATTR(validate_indices, Bool, true)
- .OP_END_FACTORY_REG(DenseToDenseSetOperation)
-
- REG_OP(DenseToSparseSetOperation)
- .INPUT(x1, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
- DT_INT32, DT_INT64, DT_STRING}))
- .INPUT(x2_indices, TensorType({DT_INT64}))
- .INPUT(x2_values, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
- DT_INT32, DT_INT64, DT_STRING}))
- .INPUT(x2_shape, TensorType({DT_INT64}))
- .OUTPUT(y_indices, TensorType({DT_INT64}))
- .OUTPUT(y_values, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
- DT_INT32, DT_INT64, DT_STRING}))
- .OUTPUT(y_shape, TensorType({DT_INT64}))
- .ATTR(set_operation, String, "")
- .ATTR(validate_indices, Bool, true)
- .OP_END_FACTORY_REG(DenseToSparseSetOperation)
-
- REG_OP(SparseToSparseSetOperation)
- .INPUT(x1_indices, TensorType({DT_INT64}))
- .INPUT(x1_values, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
- DT_INT32, DT_INT64, DT_STRING}))
- .INPUT(x1_shape, TensorType({DT_INT64}))
- .INPUT(x2_indices, TensorType({DT_INT64}))
- .INPUT(x2_values, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
- DT_INT32, DT_INT64, DT_STRING}))
- .INPUT(x2_shape, TensorType({DT_INT64}))
- .OUTPUT(y_indices, TensorType({DT_INT64}))
- .OUTPUT(y_values, TensorType({DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, \
- DT_INT32, DT_INT64, DT_STRING}))
- .OUTPUT(y_shape, TensorType({DT_INT64}))
- .ATTR(set_operation, String, "")
- .ATTR(validate_indices, Bool, true)
- .OP_END_FACTORY_REG(SparseToSparseSetOperation)
-
- REG_OP(SetSize)
- .INPUT(set_indices, TensorType({DT_INT64}))
- .INPUT(set_values, TensorType({DT_INT8, DT_INT16, \
- DT_UINT8, DT_UINT16, DT_INT32, DT_INT64}))
- .INPUT(set_shape, TensorType({DT_INT64}))
- .OUTPUT(size, TensorType({DT_INT32}))
- .ATTR(validate_indices, Bool, true)
- .OP_END_FACTORY_REG(SetSize)
- } // namespace ge
-
- #endif // GE_OP_SET_OPS_H_
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