open3d.core.HashSet¶

class open3d.core.HashSet¶

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

__init__(self, init_capacity, key_dtype, key_element_shape, device=CPU:0)¶

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.cpu.pybind.core.HashSet) → open3d.cpu.pybind.core.Tensor¶: Get the buffer indices corresponding to active entries in the hash set.

capacity(self: open3d.cpu.pybind.core.HashSet) → int¶: Get the capacity of the hash set.

clone(self: open3d.cpu.pybind.core.HashSet) → open3d.cpu.pybind.core.HashSet¶: Clone the hash set, including the data structure and the data buffers.

cpu(self: open3d.cpu.pybind.core.HashSet) → open3d.cpu.pybind.core.HashSet¶: Transfer the hash set to CPU. If the hash set is already on CPU, no copy will be performed.

cuda(self, device_id=0)¶

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, keys)¶

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, keys)¶

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, keys)¶

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.cpu.pybind.core.HashSet) → open3d.cpu.pybind.core.Tensor¶: Get the key tensor stored in the buffer.

static load(file_name)¶

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, capacity)¶

Reserve the hash set given the capacity.

save(self, file_name)¶

Save the hash set into a .npz file.

Parameters: file_name (str) – File name of the corresponding .npz file.
Returns: None

size(self: open3d.cpu.pybind.core.HashSet) → int¶: Get the size of the hash set.

to(self, device, copy=False)¶

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