1 报错：AttributeError: module ‘torchtext.data’ has no attribute ‘Field’

原文代码如下

import math
import time
import numpy as np
import torch
import torch.nn.functional as F 
from torchtext import data
 
# 两个Field对象定义字段的处理方法（文本字段、标签字段）
TEXT = data.Field(tokenize=lambda x: x.split(), lower=True)
LABEL = data.LabelField(dtype=torch.float)

更改成如下引用即可

import math
import time
import numpy as np
import torch
import torchtext
import torch.nn.functional as F 
from torchtext.legacy import data
from torchtext.legacy.data import Field, TabularDataset, Iterator, BucketIterator

2 报错：TypeError: can’t convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.

问题描述
如果想把CUDA tensor格式的数据改成numpy时，需要先将其转换成cpu float-tensor随后再转到numpy格式。 numpy不能读取CUDA tensor 需要将它转化为 CPU tensor

self.cpu().numpy()
torch.tensor(self, device='cpu')

3 报错在导入torch的时候报错

报错内容：TqdmWarning: IProgress not found. Please update jupyter and ipywidgets.

解决办法：

  1. 卸载jupyter：pip uninstall jupyter
  2. 卸载ipywidgets：pip uninstall ipywidgets
  3. 安装jupyter：pip install jupyter
  4. 安装ipywidgets：pip install ipywidgets
  5. 关联：jupyter nbextension enable –py widgetsnbextension