(self, in_channels: int, out_channels: int, stride: int, depth: int, dropout: float)

(self)

(pred, gold, smoothing=0.1)

(self, len_dataset: int)

(self)

(self, len_dataset: int)

(self, zero_grad=False)

(self, zero_grad=False)

(self, len_dataset: int)

(self, loss, accuracy)

(self)

(self)

(self)

(self)

(self, model, loss, accuracy, learning_rate: float)

(model)

(model)

(args, seed: int)

(self)

(self, closure=None)

(self, progress: float)

(self, model, loss, accuracy, learning_rate: float = None)

(self, image)

(self, epoch)

(self, params, base_optimizer, rho=0.05, adaptive=False, **kwargs)

(self, length: int = 40)

(self, log_each: int, initial_epoch=-1)

(self, size=16, p=0.5)

(self, optimizer, learning_rate: float, total_epochs: int)

(self, channels: int, dropout: float)

(self, in_channels: int, out_channels: int, stride: int, dropout: float)

(self, depth: int, width_factor: int, dropout: float, in_channels: int, labels: int)

(self, batch_size, threads)

(module)

(module)

(self, x)

(self, x)

(self, x)

(self, x)

(self, state_dict)