Creates and returns an instance of the model given its class name.

https://chrischoy.github.io/research/barycentric-coordinate-for-mesh-sampling/ Samples point cloud on the surface of the model defined as vec

r"""Set the global coordinate manager. :attr:`MinkowskiEngine.CoordinateManager` The coordinate manager which will be set to the global coord

r"""Define the sparse tensor coordinate manager operation mode. By default, a :attr:`MinkowskiEngine.SparseTensor.SparseTensor` instantiation

Returns the size of the array.

r""" Args: :attr:`X` (:attr:`MinkowskiEngine.SparseTensor`): a sparse tensor that discretized the original input.

r"""Create input arguments for a sparse tensor `the documentation <https://nvidia.github.io/MinkowskiEngine/sparse_tensor.html>`_. Convert a

r"""Return the current sparse tensor operation mode.

Return random numbers between line_params[0], line_params[1]

r"""Compute the sum of sparse tensor features Sum all sparse tensor features. All sparse tensors must have the same `coordinate_map_key` (the

clang-format off

allocates, but does NOT initialize. Use in-place new constructor, e.g. T* obj = pool.allocate(); ::new (static_cast<void*>(obj)) T();

r"""Concatenate sparse tensors Concatenate sparse tensor features. All sparse tensors must have the same `coordinate_map_key` (the same coord

r"""Clear the global coordinate manager cache. When you use the operation mode: :attr:`MinkowskiEngine.SparseTensor.SparseTensorOperationMode

when center is True, the custom region_offset will be centered at the origin. Currently, for HYPER_CUBE, HYPER_CROSS with odd kernel sizes ca

r"""Returns a coordinate and feature matrix at the specified batch index. Returns a coordinate and feature matrix at the specified `batch_ind