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Column API for
pairwise_polygon_distance (#1073)
This PR adds column API for `pairwise_polygon_distance`. This PR also adds `CUSPATIAL_HOST_DEVICE_EXPECTS` macro to help error assertion in `__host__ __device__` functions. closes #1053 depends on #1065 Authors: - Michael Wang (https://github.com/isVoid) Approvers: - H. Thomson Comer (https://github.com/thomcom) - Mark Harris (https://github.com/harrism) URL: #1073
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| /* | ||
| * Copyright (c) 2023, 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. | ||
| */ | ||
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| #pragma once | ||
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| #include <cuda_runtime.h> | ||
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| /** | ||
| * @brief `assert`-like macro for device code | ||
| * | ||
| * This is effectively the same as the standard `assert` macro, except it | ||
| * relies on the `__PRETTY_FUNCTION__` macro which is specific to GCC and Clang | ||
| * to produce better assert messages. | ||
| */ | ||
| #if !defined(NDEBUG) && defined(__CUDA_ARCH__) && (defined(__clang__) || defined(__GNUC__)) | ||
| #define __ASSERT_STR_HELPER(x) #x | ||
| #define cuspatial_assert(e) \ | ||
| ((e) ? static_cast<void>(0) \ | ||
| : __assert_fail(__ASSERT_STR_HELPER(e), __FILE__, __LINE__, __PRETTY_FUNCTION__)) | ||
| #else | ||
| #define cuspatial_assert(e) (static_cast<void>(0)) | ||
| #endif |
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| Original file line number | Diff line number | Diff line change |
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| /* | ||
| * Copyright (c) 2023, 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. | ||
| */ | ||
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| #include <cuspatial/column/geometry_column_view.hpp> | ||
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| #include <cudf/column/column.hpp> | ||
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| #include <rmm/mr/device/device_memory_resource.hpp> | ||
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| #include <memory> | ||
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| namespace cuspatial { | ||
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| /** | ||
| * @brief Compute pairwise (multi)polygon-to-(multi)polygon Cartesian distance | ||
| * | ||
| * Computes the cartesian distance between each pair of the multipolygons. | ||
| * | ||
| * @param lhs Geometry column of the multipolygons to compute distance from | ||
| * @param rhs Geometry column of the multipolygons to compute distance to | ||
| * @param mr Device memory resource used to allocate the returned column. | ||
| * | ||
| * @return Column of distances between each pair of input geometries, same type as input coordinate | ||
| * types. | ||
| */ | ||
| std::unique_ptr<cudf::column> pairwise_polygon_distance( | ||
| geometry_column_view const& lhs, | ||
| geometry_column_view const& rhs, | ||
| rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource()); | ||
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| } // namespace cuspatial |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,113 @@ | ||
| /* | ||
| * Copyright (c) 2023, 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. | ||
| */ | ||
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| #include "../utility/iterator.hpp" | ||
| #include "../utility/multi_geometry_dispatch.hpp" | ||
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| #include <cudf/column/column.hpp> | ||
| #include <cudf/column/column_factories.hpp> | ||
| #include <cudf/column/column_view.hpp> | ||
| #include <cudf/copying.hpp> | ||
| #include <cudf/types.hpp> | ||
| #include <cudf/utilities/traits.hpp> | ||
| #include <cudf/utilities/type_dispatcher.hpp> | ||
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| #include <rmm/cuda_stream_view.hpp> | ||
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| #include <cuspatial/column/geometry_column_view.hpp> | ||
| #include <cuspatial/error.hpp> | ||
| #include <cuspatial/iterator_factory.cuh> | ||
| #include <cuspatial/polygon_distance.cuh> | ||
| #include <cuspatial/range/multipolygon_range.cuh> | ||
| #include <cuspatial/types.hpp> | ||
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| #include <thrust/iterator/counting_iterator.h> | ||
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| #include <memory> | ||
| #include <type_traits> | ||
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| namespace cuspatial { | ||
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| namespace detail { | ||
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| namespace { | ||
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| template <collection_type_id is_multi_polygon_lhs, collection_type_id is_multi_polygon_rhs> | ||
| struct pairwise_polygon_distance_impl { | ||
| using SizeType = cudf::device_span<cudf::size_type const>::size_type; | ||
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| template <typename T, CUDF_ENABLE_IF(std::is_floating_point_v<T>)> | ||
| std::unique_ptr<cudf::column> operator()(geometry_column_view const& lhs, | ||
| geometry_column_view const& rhs, | ||
| rmm::cuda_stream_view stream, | ||
| rmm::mr::device_memory_resource* mr) | ||
| { | ||
| auto lhs_range = make_multipolygon_range<is_multi_polygon_lhs, T, cudf::size_type>(lhs); | ||
| auto rhs_range = make_multipolygon_range<is_multi_polygon_rhs, T, cudf::size_type>(rhs); | ||
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| auto output = cudf::make_numeric_column( | ||
| lhs.coordinate_type(), lhs.size(), cudf::mask_state::UNALLOCATED, stream, mr); | ||
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| cuspatial::pairwise_polygon_distance( | ||
| lhs_range, rhs_range, output->mutable_view().begin<T>(), stream); | ||
| return output; | ||
| } | ||
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| template <typename T, CUDF_ENABLE_IF(!std::is_floating_point_v<T>), typename... Args> | ||
| std::unique_ptr<cudf::column> operator()(Args&&...) | ||
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| { | ||
| CUSPATIAL_FAIL("polygon distance API only supports floating point coordinates."); | ||
| } | ||
| }; | ||
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| } // namespace | ||
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| template <collection_type_id is_multi_polygon_lhs, collection_type_id is_multi_polygon_rhs> | ||
| struct pairwise_polygon_distance { | ||
| std::unique_ptr<cudf::column> operator()(geometry_column_view const& lhs, | ||
| geometry_column_view const& rhs, | ||
| rmm::cuda_stream_view stream, | ||
| rmm::mr::device_memory_resource* mr) | ||
| { | ||
| return cudf::type_dispatcher( | ||
| lhs.coordinate_type(), | ||
| pairwise_polygon_distance_impl<is_multi_polygon_lhs, is_multi_polygon_rhs>{}, | ||
| lhs, | ||
| rhs, | ||
| stream, | ||
| mr); | ||
| } | ||
| }; | ||
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| } // namespace detail | ||
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| std::unique_ptr<cudf::column> pairwise_polygon_distance(geometry_column_view const& lhs, | ||
| geometry_column_view const& rhs, | ||
| rmm::mr::device_memory_resource* mr) | ||
| { | ||
| CUSPATIAL_EXPECTS(lhs.geometry_type() == geometry_type_id::POLYGON && | ||
| rhs.geometry_type() == geometry_type_id::POLYGON, | ||
| "Unexpected input geometry types."); | ||
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| CUSPATIAL_EXPECTS(lhs.coordinate_type() == rhs.coordinate_type(), | ||
| "Input geometries must have the same coordinate data types."); | ||
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| return multi_geometry_double_dispatch<detail::pairwise_polygon_distance>( | ||
| lhs.collection_type(), rhs.collection_type(), lhs, rhs, rmm::cuda_stream_default, mr); | ||
| } | ||
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| } // namespace cuspatial |
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