Function cuvsAllNeighborsBuild 

pub unsafe extern "C" fn cuvsAllNeighborsBuild(
    res: cuvsResources_t,
    params: cuvsAllNeighborsIndexParams_t,
    dataset: *mut DLManagedTensor,
    indices: *mut DLManagedTensor,
    distances: *mut DLManagedTensor,
    core_distances: *mut DLManagedTensor,
    alpha: f32,
) -> cuvsError_t

@brief Build an all-neighbors k-NN graph automatically detecting host vs device dataset.

@param[in] res Can be a SNMG multi-GPU resources (cuvsResources_t) or single-GPU resources @param[in] params Build parameters (see cuvsAllNeighborsIndexParams) @param[in] dataset 2D tensor [num_rows x dim] on host or device (auto-detected) @param[out] indices 2D tensor [num_rows x k] on device (int64) @param[out] distances Optional 2D tensor [num_rows x k] on device (float32); can be NULL @param[out] core_distances Optional 1D tensor [num_rows] on device (float32); can be NULL @param[in] alpha Mutual-reachability scaling; used only when core_distances is provided

The function automatically detects whether the dataset is host-resident or device-resident and calls the appropriate implementation. For host datasets, it partitions data into n_clusters clusters and assigns each row to overlap_factor nearest clusters. For device datasets, n_clusters must be 1 (no batching); overlap_factor is ignored. Outputs always reside in device memory.