Determine whether the given object is a top-level function, i.e., defined at module scope using 'def'.

Determine whether the given object is a valid URL string.

Train a GAN using the techniques described in the paper "PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360 degree". Examples: # Tra

r"""Returns the number of scalars that were accumulated for the given statistic between the last two calls to `update()`, or zero if n

r"""Class decorator that extends a given class to save its source code when pickled. Example: from torch_utils import persistence

Does a projection of a 3D point onto a batch of 2D planes, returning 2D plane coordinates. Takes plane axes of shape n_planes, 3, 3

r"""Broadcasts the given set of scalars to all interested instances of `Collector`, across device and process boundaries. This function is ex

Project given image to the latent space of pretrained network pickle. Examples: \b python projector.py --outdir=out --target=~/mytargetimg

Project given image to the latent space of pretrained network pickle.

Return depths of importance sampled points along rays. See NeRF importance sampling for more.

Sample @N_importance samples from @bins with distribution defined by @weights. Inputs: bins: (N_rays, N_samples_+1) where

r"""Convenience getter. `collector[name]` is a synonym for `collector.mean(name)`.