loggers='loguru',level='INFO')# 添加tqdm模块fromtqdmimporttqdm# 注册日志模块pbar=tqdm(iter)proce...
"train_loader = torch.utils.data.DataLoader(train_data, batch_size=128, shuffle=True)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAI4AAACcCAYAAACp45OYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAA...
- Project paths configs │ ├── trainer <- Trainer configs │ │ │ ├── ...
def train_one_epoch(self, epoch, accum_iter): self.model.train() if self.args.enable_lr_schedule: self.lr_scheduler.step() average_meter_set = AverageMeterSet() tqdm_dataloader = tqdm(self.train_loader) for batch_idx, batch in enumerate(tqdm_dataloader): batch_size = batch[0].size(0...
unit_scale=data_loader.batch_size, leave=False, file=sys.stdout, disable=not (gpu_id in [-1, 0]), ) as t: for it, (images, _) in enumerate(t): # update weight decay and learning rate according to their schedule it = len(data_loader) * epoch + it # global training iteration...
import DataLoader from matplotlib import pyplot as plt import numpy as np from tqdm import tqdm＃...
Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - fairseq/fairseq_cli/train.py at main · facebookresearch/fairseq