open3d.core.HashSet#

class open3d.core.HashSet#

A HashSet is an unordered set of keys wrapped by Tensors.

__init__(self: open3d.core.HashSet, init_capacity: int, key_dtype: open3d.core.Dtype, key_element_shape: open3d.core.SizeVector, device: open3d.core.Device = CPU:0) → None#
Parameters:

  • init_capacity (int) – Initial capacity of a hash container.

  • key_dtype (open3d.core.Dtype) – Data type for the input key tensor.

  • key_element_shape (open3d.core.SizeVector) – Element shape for the input key tensor. E.g. (3) for 3D coordinate keys.

  • (open3d.core.Device (device) – 0): Compute device to store and operate on the hash container.

  • optional – 0): Compute device to store and operate on the hash container.

  • default=CPU – 0): Compute device to store and operate on the hash container.

active_buf_indices(self: open3d.core.HashSet) → open3d.core.Tensor#

Get the buffer indices corresponding to active entries in the hash set.

capacity(self: open3d.core.HashSet) → int#

Get the capacity of the hash set.

clone(self: open3d.core.HashSet) → open3d.core.HashSet#

Clone the hash set, including the data structure and the data buffers.

cpu(self: open3d.core.HashSet) → open3d.core.HashSet#

Transfer the hash set to CPU. If the hash set is already on CPU, no copy will be performed.

cuda(self: open3d.core.HashSet, device_id: int = 0) → open3d.core.HashSet#

Transfer the hash set to a CUDA device. If the hash set is already on the specified CUDA device, no copy will be performed.

Parameters:

device_id (int, optional, default=0) – Target CUDA device ID.

Returns:

open3d.core.HashSet

erase(self: open3d.core.HashSet, keys: open3d.core.Tensor) → open3d.core.Tensor#

Erase an array of keys stored in Tensors.

Parameters:

keys (open3d.core.Tensor) – Input keys stored in a tensor of shape (N, key_element_shape).

Returns:

open3d.core.Tensor

find(self: open3d.core.HashSet, keys: open3d.core.Tensor) → tuple#

Find an array of keys stored in Tensors.

Parameters:

keys (open3d.core.Tensor) – Input keys stored in a tensor of shape (N, key_element_shape).

Returns:

tuple

insert(self: open3d.core.HashSet, keys: open3d.core.Tensor) → tuple#

Insert an array of keys stored in Tensors.

Parameters:

keys (open3d.core.Tensor) – Input keys stored in a tensor of shape (N, key_element_shape).

Returns:

tuple

key_tensor(self: open3d.core.HashSet) → open3d.core.Tensor#

Get the key tensor stored in the buffer.

static load(file_name: str) → open3d.core.HashSet#

Load a hash set from a .npz file.

Parameters:

file_name (str) – File name of the corresponding .npz file.

Returns:

open3d.core.HashSet

reserve(self: open3d.core.HashSet, capacity: int) → None#

Reserve the hash set given the capacity.

Parameters:

capacity (int) – New capacity for rehashing.

Returns:

None

save(self: open3d.core.HashSet, file_name: str) → None#

Save the hash set into a .npz file.

Parameters:

file_name (str) – File name of the corresponding .npz file.

Returns:

None

size(self: open3d.core.HashSet) → int#

Get the size of the hash set.

to(self: open3d.core.HashSet, device: open3d.core.Device, copy: bool = False) → open3d.core.HashSet#

Convert the hash set to a selected device.

Parameters:

  • device (open3d.core.Device) – Compute device to store and operate on the hash container.

  • copy (bool, optional, default=False) – If true, a new tensor is always created; if false, the copy is avoided when the original tensor already has the targeted dtype.

Returns:

open3d.core.HashSet

property device#
property is_cpu#
property is_cuda#