RuntimeError: Expected PyTorch version 1.4 but found version 1.13.

This error message indicates that the PyTorch version installed in your system is not compatible with the version required by the code you are trying to run.

To resolve this issue, you need to upgrade PyTorch to version 1.4 or higher. You can do this by running the following command in your terminal or command prompt:

pip install --upgrade torch

After upgrading PyTorch, try running your code again.

相关问题

pytorch报错RuntimeError: expected scalar type Double but found Float

这个报错通常是因为你的模型中定义的参数类型与你输入的数据类型不一致。在 PyTorch 中，有些操作只支持特定的数据类型，例如只支持 FloatTensor 或 DoubleTensor。解决这个问题的方法是将输入数据的类型转换为模型期望的类型，或者将模型参数的类型更改为输入数据的类型。你可以使用 `.to()` 方法来实现类型转换，例如将 FloatTensor 转换为 DoubleTensor：`input_data = input_data.to(torch.double)`。如果需要更改模型参数的类型，可以使用 `.double()` 或 `.float()` 方法来更改模型中的参数类型。

RuntimeError: expected scalar type Double but found Float

This error occurs when there is a mismatch between the expected data type and the actual data type of a tensor or variable in a PyTorch program. The program expects a tensor or variable of type double (torch.float64), but finds a tensor or variable of type float (torch.float32).

To fix this error, you can convert the tensor or variable to the expected data type using the .double() method. For example:

x = torch.randn(3, 3, dtype=torch.float32)
y = x.double() # convert x to double precision

Alternatively, you can specify the data type when creating the tensor or variable. For example:

x = torch.randn(3, 3, dtype=torch.float64) # create a tensor of type double