Creates a tensor of shape [num, *start.shape] whose values are evenly spaced from start to end, inclusive. Replicates but the multi-dimension

List all files recursively in a given directory while ignoring given file and directory names. Returns list of tuples containing both absolute and

Normalize vector lengths.

Download the given URL and return a binary-mode file object to access the data.

Parse a comma separated list of numbers or ranges and return a list of ints. Example: '1,2,5-10' returns [1, 2, 5, 6, 7]

Parse a comma separated list of numbers or ranges and return a list of ints. Example: '1,2,5-10' returns [1, 2, 5, 6, 7]

Parse a 'M,N' or 'MxN' integer tuple. Example: '4x2' returns (4,2) '0,1' returns (0,1)

Parse a 'M,N' or 'MxN' integer tuple. Example: '4x2' returns (4,2) '0,1' returns (0,1)

Parse a floating point 2-vector of syntax 'a,b'. Example: '0,1' returns (0,1)

This function computes the perspective projection of a set of points. Input: points (bs, N, 3): 3D points rotation (bs, 3, 3)

r"""Broadcasts the given set of scalars by the first process (`rank = 0`), but ignores any scalars provided by the other processes. See `repor

Convert 6D rotation representation to 3x3 rotation matrix. Based on Zhou et al., "On the Continuity of Rotation Representations in Neural Networks

Expects coordinates in shape (batch_size, num_points_per_batch, 3) Expects grid in shape (1, channels, H, W, D) (Also works if grid has b

r"""Convenience function to setup 2D FIR filter for `upfirdn2d()`. Args: f: Torch tensor, numpy array, or python list of the sh

Dot product of two tensors.

Left-multiplies MxM @ NxM. Returns NxM.

Calculate the product of the tuple elements.

r"""Upsample a batch of 2D images using the given 2D FIR filter. By default, the result is padded so that its shape is a multiple of the input.