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

r"""Copies current values of the internal counters to the user-visible state and resets them for the next round. If `keep_previous=Tr

Wrapper for the underlying `conv2d()` and `conv_transpose2d()` implementations.

Flush written text to both stdout and a file, if open.

Forward pass through the generator network. Args: G (torch.nn.Module): The generator network. W (torch.Tensor): The latent c

r"""Returns the raw moments that were accumulated for the given statistic between the last two calls to `update()`, or zero if no scal

Function computes the distance between image patches in0 and in1 INPUTS in0, in1 - torch.Tensor object of shape Nx3xXxY - image p

Traverses the object name and returns the last (rightmost) python object.

r"""Pad, upsample, filter, and downsample a batch of 2D images. Performs the following sequence of operations for each channel: 1. Upsample

Fast CUDA implementation of `upfirdn2d()` using custom ops.

Returns the coordinates of an ellipse centered at the given point. Args: point (Tuple[int, int]): The center point of the ellipse.

Returns the coordinates of an ellipse centered at the given point. Args: point (Tuple[int, int]): The center point of the ellipse.

Searches for the underlying module behind the name to some python object. Returns the module and the object name (original name with module part r

r"""Test whether the given object or class is persistent, i.e., whether it will save its source code when pickled.

r"""Returns the names of all statistics broadcasted so far that match the regular expression specified at construction time.

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

Write text to stdout (and a file) and optionally flush.

Fast CUDA implementation of `bias_act()` using custom ops.

Slow reference implementation of `bias_act()` using standard TensorFlow ops.

r"""Check that the given object is pickleable, raising an exception if it is not. This function is expected to be considerably more efficient

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

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