Why do tensors with different dimensions not work in PyTorch?

[Harsha-lohana]

Tensor=torch.tensor([[[1,2,4],
                      [1,2,2],
                      [1,2,1]]])

This code is working but

Tensor=torch.tensor([[[1],
                      [1,2],
                      [1,2,1]]])

this is not working there might be a chance to generate this type of tensor, is it??
or what's the reason behind working with the same length?

[Arcane-WD]

The torch.tensor function fails with the provided code because the nested lists have different lengths. PyTorch tensors require that all sub-arrays be of the same shape to form a regular grid, making the entire structure a valid tensor. This is similar in case with NumPy as well.

Here's a solution:
import torch

Padding shorter lists with zeros

Tensor = torch.tensor([[[1, 0, 0],
[1, 2, 0],
[1, 2, 1]]])

print(Tensor)