Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights. warnings.warn(msg)解决办法

这个问题是因为在使用ResNet18模型时，传入的`weights`参数值不是权重枚举（`ResNet18_Weights`）或`None`。在0.13版本之后，除了这两种情况外，其他参数都将被弃用。解决方法是将传入的参数值改为权重枚举或`None`，或者使用`weights=ResNet18_Weights.DEFAULT`来获取最新的权重。同时，建议在代码中加上以下语句以忽略该警告：

import warnings
warnings.filterwarnings('ignore')

相关问题

Arguments other than a weight enum or None for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing weights=ResNet18_Weights.IMAGENET1K_V1. You can also use weights=ResNet18_Weights.DEFAULT to get the most up-to-date weights. warnings.warn(msg)解决办法解决办法示例

以下是解决这个问题的示例代码：

from torchvision.models import resnet18
from torchvision.models.resnet import ResNet, BasicBlock, Bottleneck, model_urls

class ResNet18(ResNet):
    def __init__(self, pretrained=True):
        super(ResNet18, self).__init__(BasicBlock, [2, 2, 2, 2])
        if pretrained:
            # 使用预训练的模型权重
            self.load_state_dict(model_zoo.load_url(model_urls['resnet18']))
    
model = ResNet18(weights=None) # 或者使用 weights=ResNet18_Weights.DEFAULT

这里的解决方法是将传入的`weights`参数值改为`None`或`ResNet18_Weights.DEFAULT`。同时，建议在代码中加上以下语句以忽略该警告：

import warnings
warnings.filterwarnings('ignore')

UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights. warnings.warn(msg)

这个警告是关于权重参数的使用问题，它说明你传递给模型的权重参数已经过时，不再被建议使用，并且可能在将来版本中被删除。当前的行为等同于使用 `weights=ResNet18_Weights.IMAGENET1K_V1`。你可以使用 `weights=ResNet18_Weights.DEFAULT` 来获取最新的权重。建议你更新代码中的权重参数，以避免在将来出现问题。