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

Initialize a network: 1. register CPU/GPU device (with multi-GPU support); 2. initialize the network weights Parameters: net (network)

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

Reset the self.saved status

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

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

Load and print networks; create schedulers Parameters: opt (Option class) -- stores all the experiment flags; needs to be a subcl

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