engine.py 文件源码

def init_learning(self, model, criterion):

        if self._state('train_transform') is None:
            normalize = transforms.Normalize(mean=model.image_normalization_mean,
                                             std=model.image_normalization_std)
            self.state['train_transform'] = transforms.Compose([
                Warp(self.state['image_size']),
                transforms.RandomHorizontalFlip(),
                transforms.ToTensor(),
                normalize,
            ])

        if self._state('val_transform') is None:
            normalize = transforms.Normalize(mean=model.image_normalization_mean,
                                             std=model.image_normalization_std)
            self.state['val_transform'] = transforms.Compose([
                Warp(self.state['image_size']),
                transforms.ToTensor(),
                normalize,
            ])

        self.state['best_score'] = 0