Return image paths that are used to load current data

Return the static method <modify_commandline_options> of the model class.

Return a learning rate scheduler Parameters: optimizer -- the optimizer of the network opt (option class) -- stores all

create empty directories if they don't exist Parameters: paths (str list) -- a list of directory paths

Add new dataset-specific options, and rewrite default values for existing options. Parameters: parser -- original option

Add new model-specific options, and rewrite default values for existing options. Parameters: parser -- original option p

Print the mean, min, max, median, std, and size of a numpy array Parameters: val (bool) -- if print the values of the numpy array

Return an image from the pool. Parameters: images: the latest generated images from the generator Returns images from th

r"""Removes the spectral normalization reparameterization from a module. Args: module (Module): containing module name (str, optio

Save a numpy image to the disk Parameters: image_numpy (numpy array) -- input numpy array image_path (str) -- the path o

Unpack input data from the dataloader and perform necessary pre-processing steps. Parameters: input (dict): include the data itsel

Set requies_grad=Fasle for all the networks to avoid unnecessary computations Parameters: nets (network list) -- a list of netwo

r"""Applies spectral normalization to a parameter in the given module. .. math:: \mathbf{W}_{SN} = \dfrac{\mathbf{W}}{\sigma(\mathbf{W})},

Converts a Tensor array into a numpy image array. Parameters: input_image (tensor) -- the input image tensor array imtype (type)