Question

我正在使用tqdm库并且它没有给我进度条，而是它给我输出看起来像这样它只是告诉我迭代：

251it [01:44, 2.39it/s]

知道为什么代码会这样做？我以为这可能是因为我把它传给了一台发电机但是我曾经使用过去曾经使用过的发电机。我以前从来没有真正搞过tdqm格式。以下是源代码的一部分：

train_iter = zip(train_x, train_y) #train_x and train_y are just lists of elements
....
def train(train_iter, model, criterion, optimizer):
    model.train()
    total_loss = 0
    for x, y in tqdm(train_iter):
        x = x.transpose(0, 1)
        y = y.transpose(0, 1)
        optimizer.zero_grad()
        bloss = model.forward(x, y, criterion)   
        bloss.backward()
        torch.nn.utils.clip_grad_norm(model.parameters(), args.clip)
        optimizer.step()        
        total_loss += bloss.data[0]
    return total_loss

Answer 1

tqdm需要知道要显示进度条的执行者数量（总金额）。

你可以试试这个：

from tqdm import tqdm

train_x = range(100)
train_y = range(200)

train_iter = zip(train_x, train_y)

# Notice `train_iter` can only be iter over once, so i get `total` in this way.
total = min(len(train_x), len(train_y))

with tqdm(total=total) as pbar:
    for item in train_iter:
        # do something ...
        pbar.update(1)

Answer 2

用长度填充“总”参数对我有用。现在进度条出现了。

from tqdm import tqdm

# ...
for imgs, targets in tqdm( train_dataloader, total=len(train_dataloader)):
   # ...

tqdm没有显示栏

2 个答案: