TypeError: empty() received an invalid combination of arguments - got (tuple, dtype=NoneType, device=NoneType), but expected one of: * (tuple of ints size, *, tuple of names names, torch.memory_format memory_format, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad) * (tuple of SymInts size, *, torch.memory_format memory_format, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)

这个错误通常是由于使用了错误的参数类型导致的。在这种情况下，错误的参数类型是一个元组，而函数期望的是一个张量或一个元组加上其他参数。

你需要检查传递给函数的参数，确保它们的类型是正确的。如果你不确定哪个参数导致了这个错误，可以通过在代码中插入 print 语句来调试它。

另外，你可以查看函数的文档或源代码，以了解函数期望哪些参数类型。这将帮助你避免类似的错误。

相关问题

TypeError: empty() received an invalid combination of arguments - got (tuple, dtype=NoneType, device=NoneType), but expected one of:

这个错误是由于调用了torch.empty()函数时传入了无效的参数组合导致的。torch.empty()函数期望的参数组合包括：size (int, tuple 或者 torch.Size)，dtype (torch.dtype, 可选) 和 device (torch.device, 可选)。

请检查你传入的参数是否符合这些要求，并确保参数的类型正确。如果你能提供更多的代码和错误信息，我可以帮助你更详细地解决这个问题。

TypeError: sum() received an invalid combination of arguments - got (out=NoneType, axis=NoneType, ), but expected one of:

To fix the "TypeError: sum() received an invalid combination of arguments" error, you need to provide valid arguments to the sum() function. The sum() function in Python can be used to sum up the elements of an iterable, such as a list or tuple.

The error message suggests that you are using invalid arguments for the sum() function. The sum() function expects either a single iterable argument or two arguments (iterable and start). Here are some examples of correct usages:

1. Summing up elements of a list:

   numbers = [1, 2, 3, 4, 5]
   total = sum(numbers)

2. Summing up elements of a tuple:

   numbers = (1, 2, 3, 4, 5)
   total = sum(numbers)

3. Summing up elements of a list starting from a specific value:

   numbers = [1, 2, 3, 4, 5]
   total = sum(numbers, 10)  # Start summing from 10

Make sure you are passing a valid iterable as the first argument to the sum() function. If you provide any additional arguments, ensure they are valid as well.