tensor() takes 1 positional argument but 2 were given

"tensor() takes 1 positional argument but 2 were given"错误通常是由于函数调用时传递了错误的参数数量导致的。这个错误提示意味着在调用tensor()函数时传递了2个参数，但该函数只接受1个参数。

要解决这个问题，你需要仔细检查你的代码，并确保在调用tensor()函数时只传递了一个参数。可能是你在传递参数时出现了错误，可以检查一下参数的数量和类型是否与函数定义一致。

相关问题

TypeError: tensor() takes 1 positional argument but 2 were given

这个错误通常发生在使用PyTorch时，当你尝试传递多个参数给torch.tensor()函数时。torch.tensor()只需要一个参数，它可以是Python列表，NumPy数组，标量或其他支持的数据类型。

请检查代码中是否有多个参数传递给torch.tensor()函数。如果是这样，将这些参数合并为一个参数或使用其他适当的函数来解决问题。

TypeError: forward() takes 1 positional argument but 2 were given

This error occurs when you pass too many arguments to the forward() method of a PyTorch model. The forward() method is the main computation function of the model, and it takes the input tensor as its argument.

To fix this error, make sure that you are passing only one argument to the forward() method. Check the code where you are calling the model's forward() method and verify that you are passing only the input tensor.

For example, if you have a model called MyModel, and you are calling its forward() method like this:

model = MyModel()
input_tensor = torch.randn(1, 3, 224, 224)
output_tensor = model.forward(input_tensor, some_other_argument)

You should remove the extra argument and call the forward() method like this:

model = MyModel()
input_tensor = torch.randn(1, 3, 224, 224)
output_tensor = model.forward(input_tensor)