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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_BOOSTED_TREES_OPS_H_
- #define GE_OP_BOOSTED_TREES_OPS_H_
-
- #include "graph/operator_reg.h"
-
- namespace ge {
-
- /**
- *@brief Bucketize each feature based on bucket boundaries.
-
- *@par Inputs:
- *The input float_values can be 1-D tensor, bucket_boundaries can be 1-D. Inputs include: \n
- * @li float_values: List of Rank 1 Tensor each containing float values for a single feature. \n
- * @li bucket_boundaries:List of Rank 1 Tensors each containing the bucket boundaries for a single. \n
-
- *@par Attributes:
- *@li num_features:number of features \n
-
- *@par Outputs:
- *@li y:List of Rank 1 Tensors each containing the bucketized values for a single feature. \n
-
- *@attention Constraints: \n
- *-The implementation for BoostedTreesBucketize on Ascend uses AI CPU, with bad performance. \n
-
- *@par Quantization supported or not
- *Not supported
- *@par Quantized inference supported or not
- *Supported
- *@par L2 convergence supported or not
- *@par Multiple batches supported or not
- */
-
- REG_OP(BoostedTreesBucketize)
- .DYNAMIC_INPUT(float_values, TensorType({DT_FLOAT}))
- .DYNAMIC_INPUT(bucket_boundaries, TensorType({DT_FLOAT}))
- .DYNAMIC_OUTPUT(y, TensorType({DT_INT32}))
- .REQUIRED_ATTR(num_features, Int)
- .OP_END_FACTORY_REG(BoostedTreesBucketize)
-
- } // namespace ge
-
- #endif // GE_OP_BOOSTED_TREES_OPS_H_
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