reduction.hpp

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/*
 * Copyright (c) 2019-2024, NVIDIA CORPORATION.
 *
 * 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.
 */
 
#pragma once
 
#include <cudf/aggregation.hpp>
#include <cudf/scalar/scalar.hpp>
#include <cudf/utilities/export.hpp>
 
#include <rmm/mr/device/per_device_resource.hpp>
#include <rmm/resource_ref.hpp>
 
#include <optional>
 
namespace CUDF_EXPORT cudf {
enum class scan_type : bool { INCLUSIVE, EXCLUSIVE };
 
std::unique_ptr<scalar> reduce(
  column_view const& col,
  reduce_aggregation const& agg,
  data_type output_dtype,
  rmm::cuda_stream_view stream      = cudf::get_default_stream(),
  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
std::unique_ptr<scalar> reduce(
  column_view const& col,
  reduce_aggregation const& agg,
  data_type output_dtype,
  std::optional<std::reference_wrapper<scalar const>> init,
  rmm::cuda_stream_view stream      = cudf::get_default_stream(),
  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
std::unique_ptr<column> segmented_reduce(
  column_view const& segmented_values,
  device_span<size_type const> offsets,
  segmented_reduce_aggregation const& agg,
  data_type output_dtype,
  null_policy null_handling,
  rmm::cuda_stream_view stream      = cudf::get_default_stream(),
  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
std::unique_ptr<column> segmented_reduce(
  column_view const& segmented_values,
  device_span<size_type const> offsets,
  segmented_reduce_aggregation const& agg,
  data_type output_dtype,
  null_policy null_handling,
  std::optional<std::reference_wrapper<scalar const>> init,
  rmm::cuda_stream_view stream      = cudf::get_default_stream(),
  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
std::unique_ptr<column> scan(
  column_view const& input,
  scan_aggregation const& agg,
  scan_type inclusive,
  null_policy null_handling         = null_policy::EXCLUDE,
  rmm::cuda_stream_view stream      = cudf::get_default_stream(),
  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
 
std::pair<std::unique_ptr<scalar>, std::unique_ptr<scalar>> minmax(
  column_view const& col,
  rmm::cuda_stream_view stream      = cudf::get_default_stream(),
  rmm::device_async_resource_ref mr = rmm::mr::get_current_device_resource());
  // end of group
 
}  // namespace CUDF_EXPORT cudf