How do I manipulate tensors in PyTorch?

How do I manipulate tensors in PyTorch?

You can manipulate tensors in PyTorch using various operations like slicing, reshaping, and arithmetic operations. What specific manipulation do you want to perform?

I want to reshape a tensor from 2D to 3D.

You can use the torch.reshape() function. For example, if you have a tensor x of shape (4, 2), you can reshape it to (2, 2, 2) using x.reshape(2, 2, 2).

Can you show me an example of slicing a tensor?

Sure! If you have a tensor x = torch.tensor([[1, 2], [3, 4]]), you can slice it like this: x[0, :] will give you the first row, which is tensor([1, 2]).

What about performing element-wise addition?

You can perform element-wise addition using the + operator. For example, if you have two tensors a and b, you can do result = a + b.