Standard forward

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

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 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

Configures options specific for CUT model

Configures options specific for CUT model

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

Calculate losses, gradients, and update network weights; called in every training iteration

Update network weights; it will be called in every training iteration.

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

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): includes the data its

Unpack input data from the dataloader and perform necessary pre-processing steps. Parameters: input: a dictionary that contains t