python - FileNotFoundError : No such file: -> Error occuring due to TimeOut of Google Drive?

Question

我用Sequence类创建了一个DataGenerator。

import tensorflow.keras as keras
from skimage.io import imread
from skimage.transform import resize
import numpy as np
import math
from tensorflow.keras.utils import Sequence

Here, `x_set` is list of path to the images and `y_set` are the associated classes.

class DataGenerator(Sequence):
    def __init__(self, x_set, y_set, batch_size):
    self.x, self.y = x_set, y_set
    self.batch_size = batch_size

def __len__(self):
    return math.ceil(len(self.x) / self.batch_size)

def __getitem__(self, idx):
    batch_x = self.x[idx * self.batch_size:(idx + 1) *
    self.batch_size]
    batch_y = self.y[idx * self.batch_size:(idx + 1) *
    self.batch_size]

    return np.array([
        resize(imread(file_name), (224, 224))
           for file_name in batch_x]), np.array(batch_y)

然后，将其应用于训练和验证数据。 X_train是一个字符串列表，其中包含训练数据的图像路径。 y_train是训练数据的单编码标签。验证数据也是如此。
我使用以下代码创建了图像路径:

X_train = []
for name in train_FileName:
  file_path = r"/content/gdrive/My Drive/data/2017-IWT4S-CarsReId_LP-dataset/" + name
  X_train.append(file_path)

之后，我将 DataGenerator应用于训练和验证数据:

training_generator = DataGenerator(X_train, y_train, batch_size=32)
validation_generator = DataGenerator(X_val, y_val, batch_size=32)

之后，我使用 fit_generator方法运行模型:

model.fit_generator(generator=training_generator,
                    validation_data=validation_generator,
                    steps_per_epoch = num_train_samples // 32,
                    validation_steps = num_val_samples // 32,
                    epochs = 10,
                    use_multiprocessing=True,
                    workers=2)

在CPU上第一次运行良好，初始化了我的模型并开始了第一个纪元。然后，我将Google Colab中的运行时类型更改为GPU，然后再次运行该模型。
并得到以下错误:

---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
<ipython-input-79-f43ade94ee10> in <module>()
      5                     epochs = 10,
      6                     use_multiprocessing=True,
----> 7                     workers=2)

16 frames
/usr/local/lib/python3.6/dist-packages/imageio/core/request.py in _parse_uri(self, uri)
    271                 # Reading: check that the file exists (but is allowed a dir)
    272                 if not os.path.exists(fn):
--> 273                     raise FileNotFoundError("No such file: '%s'" % fn)
    274             else:
    275                 # Writing: check that the directory to write to does exist

FileNotFoundError: No such file: '/content/gdrive/My Drive/data/2017-IWT4S-CarsReId_LP-dataset/s01_l01/1_1.png'

今天，在不使用GPU的情况下运行程序时，我也遇到了此错误。运行该程序时，Colab告诉我Google Drive Time Out。那么，这是由于Google云端硬盘超时导致的错误吗？如果是，我该如何解决？
有人知道我应该在程序中更改什么吗？

Answer 1

您可以编写此代码以避免在控制台的google colab中超时

ConnectButton() {     
    console.log("Connect pushed");      
    document.querySelector("#top-toolbar > colab-connect- 
        button").shadowRoot.querySelector("#connect").click()  
} 
setInterval(ConnectButton,60000);

资料来源: How to prevent Google Colab from disconnecting?