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59 lines
1.9 KiB
59 lines
1.9 KiB
/**
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* Copyright 2019-2020 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef GE_OP_BOOSTED_TREES_OPS_H_
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#define GE_OP_BOOSTED_TREES_OPS_H_
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#include "graph/operator_reg.h"
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namespace ge {
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/**
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*@brief Bucketize each feature based on bucket boundaries.
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*@par Inputs:
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*The input float_values can be 1-D tensor, bucket_boundaries can be 1-D. Inputs include: \n
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* @li float_values: List of Rank 1 Tensor each containing float values for a single feature. \n
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* @li bucket_boundaries:List of Rank 1 Tensors each containing the bucket boundaries for a single. \n
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*@par Attributes:
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*@li num_features:number of features \n
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*@par Outputs:
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*@li y:List of Rank 1 Tensors each containing the bucketized values for a single feature. \n
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*@attention Constraints: \n
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*-The implementation for BoostedTreesBucketize on Ascend uses AI CPU, with bad performance. \n
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*@par Quantization supported or not
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*Not supported
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*@par Quantized inference supported or not
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*Supported
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*@par L2 convergence supported or not
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*@par Multiple batches supported or not
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*/
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REG_OP(BoostedTreesBucketize)
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.DYNAMIC_INPUT(float_values, TensorType({DT_FLOAT}))
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.DYNAMIC_INPUT(bucket_boundaries, TensorType({DT_FLOAT}))
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.DYNAMIC_OUTPUT(y, TensorType({DT_INT32}))
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.REQUIRED_ATTR(num_features, Int)
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.OP_END_FACTORY_REG(BoostedTreesBucketize)
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} // namespace ge
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#endif // GE_OP_BOOSTED_TREES_OPS_H_
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