/** * 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. */ /*! * \file boosted_trees_ops.h * \brief */ #ifndef OPS_BUILT_IN_OP_PROTO_INC_BOOSTED_TREES_OPS_H_ #define OPS_BUILT_IN_OP_PROTO_INC_BOOSTED_TREES_OPS_H_ #include "graph/operator_reg.h" namespace ge { /** *@brief Bucketizes each feature based on bucket boundaries . \n *@par Inputs: *Input "float_values" is a 1D tensor. Input "bucket_boundaries" is a list of 1D tensors. It's a dynamic input. * @li float_values: A list of rank 1 tensors each containing float values for a single feature. * @li bucket_boundaries: A list of rank 1 tensors each containing the bucket boundaries for a single feature . It's a dynamic input. \n *@par Attributes: *@li num_features: Number of features *@par Outputs: *@li y: A list of rank 1 tensors each containing the bucketized values for a single feature . \n *@attention Constraints: *BoostedTreesBucketize runs on the Ascend AI CPU, which delivers poor performance. \n *@par Third-party framework compatibility *Compatible with the TensorFlow operator BoostedTreesBucketize . \n *@par Restrictions: *Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use. */ 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 // OPS_BUILT_IN_OP_PROTO_INC_BOOSTED_TREES_OPS_H_