Distance#
This page provides C++ class references for the publicly-exposed elements of the cuvs/distance
package. cuVS’s
distances have been highly optimized and support a wide assortment of different distance measures.
Distance Types#
#include <cuvs/distance/distance.hpp>
namespace cuvs::distance
Warning
doxygenenum: Cannot find enum “cuvs::distance::DistanceType” in doxygen xml output for project “cuvs” from directory: ../../cpp/doxygen/_xml/
Pairwise Distances#
include <cuvs/distance/distance.hpp>
namespace cuvs::distance
- void pairwise_distance(
- raft::resources const &handle,
- raft::device_matrix_view<const float, std::int64_t, raft::layout_c_contiguous> const x,
- raft::device_matrix_view<const float, std::int64_t, raft::layout_c_contiguous> const y,
- raft::device_matrix_view<float, std::int64_t, raft::layout_c_contiguous> dist,
- cuvs::distance::DistanceType metric,
- float metric_arg = 2.0f,
Compute pairwise distances for two matrices.
Note: Only contiguous row- or column-major layouts supported currently.
Usage example:
#include <raft/core/resources.hpp> #include <raft/core/device_mdarray.hpp> #include <cuvs/distance/distance.hpp> raft::resources handle; int n_samples = 5000; int n_features = 50; auto input = raft::make_device_matrix<float>(handle, n_samples, n_features); // ... fill input with data ... auto output = raft::make_device_matrix<float>(handle, n_samples, n_samples); auto metric = cuvs::distance::DistanceType::L2SqrtExpanded; cuvs::distance::pairwise_distance(handle, raft::make_const(input.view()), raft::make_const(input.view()), output.view(), metric);
- Parameters:
handle – [in] raft handle for managing expensive resources
x – [in] first set of points (size n*k)
y – [in] second set of points (size m*k)
dist – [out] output distance matrix (size n*m)
metric – [in] distance to evaluate
metric_arg – [in] metric argument (used for Minkowski distance)
- void pairwise_distance(
- raft::resources const &handle,
- raft::device_matrix_view<const double, std::int64_t, raft::layout_c_contiguous> const x,
- raft::device_matrix_view<const double, std::int64_t, raft::layout_c_contiguous> const y,
- raft::device_matrix_view<double, std::int64_t, raft::layout_c_contiguous> dist,
- cuvs::distance::DistanceType metric,
- double metric_arg = 2.0f,
Compute pairwise distances for two matrices.
Note: Only contiguous row- or column-major layouts supported currently.
Usage example:
#include <raft/core/resources.hpp> #include <raft/core/device_mdarray.hpp> #include <cuvs/distance/distance.hpp> raft::resources handle; int n_samples = 5000; int n_features = 50; auto input = raft::make_device_matrix<double>(handle, n_samples, n_features); // ... fill input with data ... auto output = raft::make_device_matrix<double>(handle, n_samples, n_samples); auto metric = cuvs::distance::DistanceType::L2SqrtExpanded; cuvs::distance::pairwise_distance(handle, raft::make_const(input.view()), raft::make_const(input.view()), output.view(), metric);
- Parameters:
handle – [in] raft handle for managing expensive resources
x – [in] first set of points (size n*k)
y – [in] second set of points (size m*k)
dist – [out] output distance matrix (size n*m)
metric – [in] distance to evaluate
metric_arg – [in] metric argument (used for Minkowski distance)
- void pairwise_distance(
- raft::resources const &handle,
- raft::device_matrix_view<const half, std::int64_t, raft::layout_c_contiguous> const x,
- raft::device_matrix_view<const half, std::int64_t, raft::layout_c_contiguous> const y,
- raft::device_matrix_view<float, std::int64_t, raft::layout_c_contiguous> dist,
- cuvs::distance::DistanceType metric,
- float metric_arg = 2.0f,
Compute pairwise distances for two matrices.
Note: Only contiguous row- or column-major layouts supported currently.
Usage example:
#include <raft/core/resources.hpp> #include <raft/core/device_mdarray.hpp> #include <cuvs/distance/distance.hpp> raft::resources handle; int n_samples = 5000; int n_features = 50; auto input = raft::make_device_matrix<float>(handle, n_samples, n_features); // ... fill input with data ... auto output = raft::make_device_matrix<float>(handle, n_samples, n_samples); auto metric = cuvs::distance::DistanceType::L2SqrtExpanded; cuvs::distance::pairwise_distance(handle, raft::make_const(input.view()), raft::make_const(input.view()), output.view(), metric);
- Parameters:
handle – [in] raft handle for managing expensive resources
x – [in] first set of points (size n*k)
y – [in] second set of points (size m*k)
dist – [out] output distance matrix (size n*m)
metric – [in] distance to evaluate
metric_arg – [in] metric argument (used for Minkowski distance)
- void pairwise_distance(
- raft::resources const &handle,
- raft::device_matrix_view<const float, std::int64_t, raft::layout_f_contiguous> const x,
- raft::device_matrix_view<const float, std::int64_t, raft::layout_f_contiguous> const y,
- raft::device_matrix_view<float, std::int64_t, raft::layout_f_contiguous> dist,
- cuvs::distance::DistanceType metric,
- float metric_arg = 2.0f,
Compute pairwise distances for two matrices.
Note: Only contiguous row- or column-major layouts supported currently.
Usage example:
#include <raft/core/resources.hpp> #include <raft/core/device_mdarray.hpp> #include <cuvs/distance/distance.hpp> raft::resources handle; int n_samples = 5000; int n_features = 50; auto input = raft::make_device_matrix<float>(handle, n_samples, n_features); // ... fill input with data ... auto output = raft::make_device_matrix<float>(handle, n_samples, n_samples); auto metric = cuvs::distance::DistanceType::L2SqrtExpanded; cuvs::distance::pairwise_distance(handle, raft::make_const(input.view()), raft::make_const(input.view()), output.view(), metric);
- Parameters:
handle – [in] raft handle for managing expensive resources
x – [in] first set of points (size n*k)
y – [in] second set of points (size m*k)
dist – [out] output distance matrix (size n*m)
metric – [in] distance to evaluate
metric_arg – [in] metric argument (used for Minkowski distance)
- void pairwise_distance(
- raft::resources const &handle,
- raft::device_matrix_view<const double, std::int64_t, raft::layout_f_contiguous> const x,
- raft::device_matrix_view<const double, std::int64_t, raft::layout_f_contiguous> const y,
- raft::device_matrix_view<double, std::int64_t, raft::layout_f_contiguous> dist,
- cuvs::distance::DistanceType metric,
- double metric_arg = 2.0f,
Compute pairwise distances for two matrices.
Note: Only contiguous row- or column-major layouts supported currently.
Usage example:
#include <raft/core/resources.hpp> #include <raft/core/device_mdarray.hpp> #include <cuvs/distance/distance.hpp> raft::resources handle; int n_samples = 5000; int n_features = 50; auto input = raft::make_device_matrix<double>(handle, n_samples, n_features); // ... fill input with data ... auto output = raft::make_device_matrix<double>(handle, n_samples, n_samples); auto metric = cuvs::distance::DistanceType::L2SqrtExpanded; cuvs::distance::pairwise_distance(handle, raft::make_const(input.view()), raft::make_const(input.view()), output.view(), metric);
- Parameters:
handle – [in] raft handle for managing expensive resources
x – [in] first set of points (size n*k)
y – [in] second set of points (size m*k)
dist – [out] output distance matrix (size n*m)
metric – [in] distance to evaluate
metric_arg – [in] metric argument (used for Minkowski distance)
- void pairwise_distance(
- raft::resources const &handle,
- raft::device_matrix_view<const half, std::int64_t, raft::layout_f_contiguous> const x,
- raft::device_matrix_view<const half, std::int64_t, raft::layout_f_contiguous> const y,
- raft::device_matrix_view<float, std::int64_t, raft::layout_f_contiguous> dist,
- cuvs::distance::DistanceType metric,
- float metric_arg = 2.0f,
Compute pairwise distances for two matrices.
Note: Only contiguous row- or column-major layouts supported currently.
Usage example:
#include <raft/core/resources.hpp> #include <raft/core/device_mdarray.hpp> #include <cuvs/distance/distance.hpp> raft::resources handle; int n_samples = 5000; int n_features = 50; auto input = raft::make_device_matrix<float>(handle, n_samples, n_features); // ... fill input with data ... auto output = raft::make_device_matrix<float>(handle, n_samples, n_samples); auto metric = cuvs::distance::DistanceType::L2SqrtExpanded; cuvs::distance::pairwise_distance(handle, raft::make_const(input.view()), raft::make_const(input.view()), output.view(), metric);
- Parameters:
handle – [in] raft handle for managing expensive resources
x – [in] first set of points (size n*k)
y – [in] second set of points (size m*k)
dist – [out] output distance matrix (size n*m)
metric – [in] distance to evaluate
metric_arg – [in] metric argument (used for Minkowski distance)
- void pairwise_distance(
- raft::resources const &handle,
- raft::device_csr_matrix_view<const float, int, int, int> x,
- raft::device_csr_matrix_view<const float, int, int, int> y,
- raft::device_matrix_view<float, int, raft::row_major> dist,
- cuvs::distance::DistanceType metric,
- float metric_arg = 2.0f,
Compute sparse pairwise distances between x and y, using the provided input configuration and distance function.
#include <raft/core/device_resources.hpp> #include <raft/core/device_csr_matrix.hpp> #include <raft/core/device_mdspan.hpp> int x_n_rows = 100000; int y_n_rows = 50000; int n_cols = 10000; raft::device_resources handle; auto x = raft::make_device_csr_matrix<float>(handle, x_n_rows, n_cols); auto y = raft::make_device_csr_matrix<float>(handle, y_n_rows, n_cols); ... // populate data ... auto out = raft::make_device_matrix<float>(handle, x_nrows, y_nrows); auto metric = cuvs::distance::DistanceType::L2Expanded; raft::sparse::distance::pairwise_distance(handle, x.view(), y.view(), out, metric);
- Parameters:
handle – [in] raft::resources
x – [in] raft::device_csr_matrix_view
y – [in] raft::device_csr_matrix_view
dist – [out] raft::device_matrix_view dense matrix
metric – [in] distance metric to use
metric_arg – [in] metric argument (used for Minkowski distance)
- void pairwise_distance(
- raft::resources const &handle,
- raft::device_csr_matrix_view<const double, int, int, int> x,
- raft::device_csr_matrix_view<const double, int, int, int> y,
- raft::device_matrix_view<double, int, raft::row_major> dist,
- cuvs::distance::DistanceType metric,
- float metric_arg = 2.0f,
Compute sparse pairwise distances between x and y, using the provided input configuration and distance function.
#include <raft/core/device_resources.hpp> #include <raft/core/device_csr_matrix.hpp> #include <raft/core/device_mdspan.hpp> int x_n_rows = 100000; int y_n_rows = 50000; int n_cols = 10000; raft::device_resources handle; auto x = raft::make_device_csr_matrix<double>(handle, x_n_rows, n_cols); auto y = raft::make_device_csr_matrix<double>(handle, y_n_rows, n_cols); ... // populate data ... auto out = raft::make_device_matrix<double>(handle, x_nrows, y_nrows); auto metric = cuvs::distance::DistanceType::L2Expanded; raft::sparse::distance::pairwise_distance(handle, x.view(), y.view(), out, metric);
- Parameters:
handle – [in] raft::resources
x – [in] raft::device_csr_matrix_view
y – [in] raft::device_csr_matrix_view
dist – [out] raft::device_matrix_view dense matrix
metric – [in] distance metric to use
metric_arg – [in] metric argument (used for Minkowski distance)