gather.hpp
前往此文件的文档。
1 /*
2  * Copyright (c) 2021-2024, NVIDIA CORPORATION.
3  *
4  * Licensed under the Apache License, Version 2.0 (the "License");
5  * you may not use this file except in compliance with the License.
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8  * https://apache.ac.cn/licenses/LICENSE-2.0
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13  * See the License for the specific language governing permissions and
14  * limitations under the License.
15  */
16 #pragma once
17 
18 #include <cudf/column/column.hpp>
20 #include <cudf/copying.hpp>
22 #include <cudf/utilities/export.hpp>
24 
25 namespace CUDF_EXPORT cudf {
26 namespace lists {
73 std::unique_ptr<column> segmented_gather(
74  lists_column_view const& source_column,
75  lists_column_view const& gather_map_list,
76  out_of_bounds_policy bounds_policy = out_of_bounds_policy::DONT_CHECK,
79  // end of group
81 } // namespace lists
82 } // namespace CUDF_EXPORT cudf
给定一个列表类型的列视图,此类的实例为此复合列提供了一个包装器...
cudf::column 的类定义。
列视图类定义
用于 gather, scatter, split, slice 等操作的列 API。
out_of_bounds_policy
用于处理可能的越界索引的策略。
定义位于: copying.hpp:48
rmm::cuda_stream_view const get_default_stream()
获取当前默认流。
std::unique_ptr< column > segmented_gather(lists_column_view const &source_column, lists_column_view const &gather_map_list, out_of_bounds_policy bounds_policy=out_of_bounds_policy::DONT_CHECK, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=cudf::get_current_device_resource_ref())
对列表列中每行的列表元素内的元素进行分段收集。
rmm::device_async_resource_ref get_current_device_resource_ref()
获取当前设备内存资源引用。
cuda::mr::async_resource_ref< cuda::mr::device_accessible > device_async_resource_ref
cudf::lists_column_view 的类定义。
cuDF 接口
定义位于: host_udf.hpp:37