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.

Visualize 2D heatmap based on the given .npz file.

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

Download the given URL and return a binary-mode file object to access the data.

Parse a comma separated list of numbers or ranges and return a list of ints. Example: '1,2,5-10' returns [1, 2, 5, 6, 7]

Parse a comma separated list of numbers or ranges and return a list of ints. Example: '1,2,5-10' returns [1, 2, 5, 6, 7]

Parse a 'M,N' or 'MxN' integer tuple. Example: '4x2' returns (4,2) '0,1' returns (0,1)

Parse a 'M,N' or 'MxN' integer tuple. Example: '4x2' returns (4,2) '0,1' returns (0,1)

Parse a floating point 2-vector of syntax 'a,b'. Example: '0,1' returns (0,1)

r"""Broadcasts the given set of scalars by the first process (`rank = 0`), but ignores any scalars provided by the other processes. See `repor

r"""Convenience function to setup 2D FIR filter for `upfirdn2d()`. Args: f: Torch tensor, numpy array, or python list of the sh

Visualize 1D slices based on the given .npz files.

Calculate dataset mean and standard deviation needed by 'calc'.

Calculate the product of the tuple elements.

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