r"""Query the source code of a given Python module.

r"""Get or create a Python module for the given source code.

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

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

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

Step1.1: find the GPU device and count Step1.2: set batchsize and batchsize per gpu Step1.3: set dataloader worker and worker per gpu

Finds the python object with the given name.

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.

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"""Returns the standard deviation of the scalars that were accumulated for the given statistic between the last two calls to `update(

Args: RANK: int, the rank of the stage process. If not multi process, please set 0.

Construct model based on the config.