Pytorch fundamentals: "Why is this not a tensor?"

[kkdotpy]

Hello, I am new to pytorch so I do not have much idea about tensors. I tried creating a 6 dimensional tensor so as to understand how the dimension and shape command work. However, I noticed that the following tensor is returning some sort of error

ten_6 = torch.tensor([[[[[[1,1],[1,1]],[[1,1],[1]],[[1,1],[1,1]],[[1,1],[2,2]]]]]])
print(ten_6)
print(ten_6.shape)
print(ten_6.ndim)

Error

Meanwhile this tensor is just fine

ten_6 = torch.tensor([[[[[[1,1],[1,1]],[[1,1],[1,1]],[[1,1],[1,1]],[[1,1],[2,2]]]]]])
print(ten_6)
print(ten_6.shape)
print(ten_6.ndim)

Can someone please help me understand this bit? Thank you..

[matrx2000]

Tensors need to have consistent dimensions at each level of nesting. In the provided list structure, all sub-lists at the same level must have the same number of elements. In your example:

[
    [
        [
            [
                [
                    [1,1],[1,1]
                ],
                [
                    [1,1],[1] #<-- error is here
                ],
                [
                    [1,1],[1,1]
                ],
                [
                    [1,1],[2,2]
                ]
            ]
        ]
    ]
]