The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop data = fetcher.fetch(index) File "/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/root/miniconda3/envs/py38/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 49, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] File "/root/ConvNeXt/my_dataset.py", line 33, in __getitem__ a = Image.fromarray(a) File "/root/miniconda3/envs/py38/lib/python3.8/site-packages/PIL/Image.py", line 2955, in fromarray raise TypeError("Cannot handle this data type: %s, %s" % typekey) from e TypeError: Cannot handle this data type: (1, 1, 47), |u1

这是一个错误信息，看起来是在使用 PyTorch 的 DataLoader 时出现了问题。具体来说，可能是在调用自定义的数据集类时，数据集中的一些图片数据类型不被支持。建议检查数据集类中的图片读取部分，确保图片数据类型正确，并且与 DataLoader 的参数相匹配。如果问题仍然存在，可以尝试打印出出错的图片的具体信息，以便更好地排查问题。

相关问题

AttributeError: 'int' object has no attribute 'sqrt' The above exception was the direct cause of the following exception: Traceback (most recent call last):

这个错误通常意味着你尝试对一个整数对象使用sqrt函数，但是sqrt函数只能用于浮点数。你需要将整数对象转换为浮点数对象，例如：

import math

x = 25
y = math.sqrt(float(x))
print(y)

这将输出 `5.0`，其中我们使用float函数将x转换为浮点数对象。

During handling of the above exception, another exception occurred: Traceback (most recent call last):

这段引用是一段Python代码的错误信息，它在处理一个异常的过程中遇到了另一个异常。这种情况通常发生在try-except-finally语句块中，当一个异常被捕获并处理后，可能会引发另一个异常。在这个例子中，首先发生了一个ZeroDivisionError异常，然后进入了except分支，并在except分支中又遇到了一个raise语句，引发了一个ValueError异常。接着，finally分支被执行，但在finally分支中又遇到了另一个raise语句，导致又引发了一个ValueError异常。因此，在处理第一个异常的过程中，发生了第二个异常。这些异常的详细信息被记录在Traceback中。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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