Loss functions Args: data_dict: dict config: dataset config instance post_processing: config dict Returns: lo

Makes broadcastable attention and causal masks so that future and masked tokens are ignored. Arguments: attention_mask (

calculate IoU.

Calculate the Intersection over Union (IoU) of two 2D bounding boxes. Parameters ---------- bb1 : dict Keys: {'x1', 'x2', 'y

Loss functions Args: data_dict: dict config: dataset config instance Returns: loss: pytorch scalar tensor da

Given a URL, returns the URL it redirects to or the original URL in case of no indirection

Get runner class from config. Default to epoch-based runner.

Load preprocessor configs and construct preprocessors. If no preprocessor is specified, return BaseProcessor, which does not do any preproce

return a mask that is True for zero values and False for other values.

A property to get the DDP-wrapped model on the device.

input is Nx3 points output is imgsize*imgsize*num_sample*3 assumes points are in range [-radius, radius] samples num_sample p

input is Nx3 points. output is vsize*vsize*vsize assumes points are in range [-radius, radius]

input is Nx3 points output is vsize*vsize*vsize*num_sample*3 assumes points are in range [-radius, radius] samples num_sample

Checks whether new_pts ly in the frustum defined by the coordinates of the corners coner_coords :param corner_coords: torch tensor o

Clip a polygon with another polygon. Ref: https://rosettacode.org/wiki/Sutherland-Hodgman_polygon_clipping#Python Args: subjectPolygon:

points is a Nx3 numpy array

Ravel the coordinates after subtracting the min coordinates.

if string s represents an int.

Rotation about the x-axis.

Rotation about the y-axis.

Rotation about the y-axis.

Rotation about the y-axis. t: (x1,x2,...xn) return: (x1,x2,...,xn,3,3)

Rotation about the z-axis.

This function disables printing when not in master process