r"""Hook that is called internally by the `pickle` module to unpickle a persistent object.

Ask the user the question until the user inputs a valid answer.

r"""Fused bias and activation function. Adds bias `b` to activation tensor `x`, evaluates activation function `act`, and scales the result by

Finds the python class with the given name and constructs it with the given arguments.

r"""2D convolution with optional up/downsampling. Padding is performed only once at the beginning, not between the operations. Args:

Takes in a list of tuples of (src, dst) paths and copies files. Will create all necessary directories.

r"""Downsample a batch of 2D images using the given 2D FIR filter. By default, the result is padded so that its shape is a fraction of the input.

r"""Filter a batch of 2D images using the given 2D FIR filter. By default, the result is padded so that its shape matches the input. User-spe

Convert the seconds to human readable string with days, hours, minutes and seconds.

Apply gaussian filter to input. Arguments: input (torch.Tensor): Input to apply gaussian filter on. Returns:

Given a type name string (or an object having a __name__ attribute), return matching Numpy and ctypes types that have the same size in bytes.

Get the directory path of the module containing the given object name.

Return the fully-qualified name of a top-level function.

r"""Register an import hook that is called whenever a persistent object is being unpickled. A typical use case is to patch the pickled source

r"""Initializes `torch_utils.training_stats` for collecting statistics across multiple processes. This function must be called after `tor

List all files recursively in a given directory while ignoring given file and directory names. Returns list of tuples containing both absolute and