r"""Synchronize the global cumulative counters across devices and processes. Called internally by `Collector.update()`.

Slow reference implementation of `upfirdn2d()` using standard PyTorch ops.

r"""Returns the averages accumulated between the last two calls to `update()` as an `dnnlib.EasyDict`. The contents are as follows:

Finds the python object with the given name and calls it as a function.

Flush, close possible files, and remove stdout/stderr mirroring.

d0, d1 are Variables, judge is a Tensor

Convert legacy network pickle into the native PyTorch format. The tool is able to load the main network configurations exported using the TensorF

Finds the python object with the given name.

INPUTS model - ['net-lin'] for linearly calibrated network ['net'] for off-the-shelf network

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.

Loads a pretrained StyleGAN2-ADA generator network from a pickle file. Args: network_pkl (str): The URL or local path to the network

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

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

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