The shape of a tensor signifies the number of elements (length) in each of the axes of a tensor. The length (number of elements) of each of the axes or shape of a tensor can be fetched like this:

`shape_of_tensor = list(my_tensor.shape)`

Complete code:

```
import torch
my_data = [[0.7213, 0.1766, 0.6062, 0.3769, 0.7579, 0.4698],
[0.3332, 0.9581, 0.7579, 0.4698, 0.6268, 0.1420]]
my_tensor = torch.Tensor(my_data)
shape_of_tensor = list(my_tensor.shape)
print("Shape of tensor:", shape_of_tensor)
```

Output:

`Shape of tensor: [2, 6]`

Above, the tensor in the example is of shape [2, 6] i.e it has two items on the first axis and six on second axis.