Standard forward.

Standard forward.

Standard forward

Forward function (with skip connections)

Standard forward

Standard forward.

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

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

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

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

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

Calculate losses, gradients, and update network weights; 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

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

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

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

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