module 'module' has no attribute 'eval_loaders'

This error message indicates that the module you are trying to use does not have an attribute called "eval_loaders". It could be that the attribute was not defined in the module, or that it was defined but with a different name.

You may want to check the documentation or source code of the module to see if there is any information about the "eval_loaders" attribute, and if it is indeed supposed to be part of the module. Alternatively, you could try using a different attribute or method that serves a similar purpose, if available.

相关问题

for loader, name in conf.eval_loaders: AttributeError: module 'module' has no attribute 'eval_loaders'

This error occurs when the module being imported does not have the attribute "eval_loaders". This could be because the attribute is not defined in the module or there is a typo in the attribute name.

To solve this error, you can try the following steps:
1. Check if the attribute is defined in the module. You can open the module and search for the "eval_loaders" attribute.
2. Check if there is a typo in the attribute name. Make sure that the attribute name is spelled correctly and matches the attribute name in the module.
3. If the module is part of a package, make sure that you are importing the correct module. You may need to check the package structure to ensure that you are importing the correct module.
4. If none of the above solutions work, try restarting your Python interpreter or IDE. Sometimes, modules can get cached and restarting can help refresh the cache.

raise AttributeError(f"module '{__name__}' has no attribute '{name}'") AttributeError: module 'torch' has no attribute '__vision__'

这个错误信息通常出现在使用PyTorch库时，尝试访问一个不存在的属性或模块时。具体来说，`AttributeError: module 'torch' has no attribute '__vision__'` 表示在 `torch` 模块中没有名为 `__vision__` 的属性。

解决这个问题的方法如下：

1. **检查拼写**：确保你访问的属性名是正确的。PyTorch的视觉库通常是通过 `torchvision` 导入的，而不是 `torch.__vision__`。

2. **导入正确的模块**：如果你需要使用PyTorch的视觉库，应该先安装 `torchvision`，然后导入正确的模块。例如：

import torch
import torchvision

# 使用 torchvision 中的某个模块
model = torchvision.models.resnet18()

3. **更新PyTorch和torchvision**：确保你的PyTorch和torchvision库是最新版本。你可以使用以下命令更新：

pip install --upgrade torch torchvision

4. **检查代码**：有时候，代码中可能存在其他问题，导致错误信息不准确。仔细检查代码，确保没有其他错误。

通过以上步骤，你应该能够解决 `AttributeError: module 'torch' has no attribute '__vision__'` 这个错误。