list' object has no attribute 'device'"
时间: 2023-08-11 09:07:31 浏览: 411
这个错误是因为您在一个列表对象上调用了 "device" 属性,而列表对象本身没有 "device" 属性。通常情况下,"device" 属性是用于指定计算设备(如 CPU 或 GPU)的。请确保您在正确的对象上使用 "device" 属性,比如张量对象。如果您需要更详细的帮助,请提供更多的上下文信息,以便我能够更好地帮助您解决问题。
相关问题
list object has no attribute size
这个错误通常是因为你正在尝试使用一个列表对象的size属性,但是列表对象并没有size属性。在Python中,列表对象有一个内置的len()函数来获取列表的长度,而不是使用size属性。因此,你需要将input.size()替换为len(input)来解决这个问题。
下面是一个示例代码:
```python
import torch
from torchsummary import summary
model = YourModel()
input_size = (3, 224, 224)
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
model = model.to(device)
summary(model, input_size=input_size)
```
yolo AttributeError: 'list' object has no attribute 'device'
The `AttributeError: 'list' object has no attribute 'device'` error typically occurs in the context of deep learning frameworks, particularly when working with object detection models like YOLO (You Only Look Once). In the YOLO implementation, `device` is usually an attribute that refers to the GPU or CPU on which the model and data should be loaded for inference.
The error message suggests that you are trying to access the `device` attribute on a list object, which is not something that lists in Python have by default. This could happen if:
1. You expected a model object (usually a PyTorch or TensorFlow module) to have a `device` attribute but got a list instead.
2. There was a typo in your code where you intended to reference the `device` attribute but miswrote it as a list element.
3. The model or some related component was not initialized properly, and its device assignment was not completed.
To resolve this issue, you need to check the following steps:
1. Verify that you are accessing the correct object. Make sure you are referring to the model instance rather than a list.
2. Ensure that the model has been loaded onto a device (e.g., `.to('cuda')` for GPU or `.cpu()` for CPU) before attempting to access the `device` attribute.
3. Check for any initialization or loading functions that might need to be called before accessing the `device`.
Here are some relevant questions to help you debug further:
1. Can you share the specific line of code causing the error?
2. How did you initialize the YOLO model in your code?
3. Are you using a library like Darknet or torchvision, and if so, where is the model loading happening?
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