python - 当我尝试用拥抱的脸进行情绪分析时，我遇到了 BrokenPipeError

Question

当我尝试用拥抱的脸进行情绪分析时，我遇到了 BrokenPipeError。它返回 [Error No] 32 Broken Pipe。

链接总代码' https://colab.research.google.com/drive/1wBXKa-gkbSPPk-o7XdwixcGk7gSHRMas?usp=sharing '

代码是

def create_data_loader(df, tokenizer, max_len, batch_size):
  ds = GPReviewDataset(
    reviews=df.content.to_numpy(),
    targets=df.sentiment.to_numpy(),
    tokenizer=tokenizer,
    max_len=max_len
  )
  return DataLoader(
    ds,
    batch_size=batch_size,
    num_workers=4
  )

接下来是下面的代码

BATCH_SIZE = 16
train_data_loader = create_data_loader(df_train, tokenizer, MAX_LEN, BATCH_SIZE)
val_data_loader = create_data_loader(df_val, tokenizer, MAX_LEN, BATCH_SIZE)
test_data_loader = create_data_loader(df_test, tokenizer, MAX_LEN, BATCH_SIZE)

其次是

data = next(iter(train_data_loader))
data.keys()

我遇到了这个“ data = next(iter(train_data_loader))”代码的错误

错误是BrokenPipeError: [Errno 32] Broken pipe