accessing values using torch.randn

[Makky101]

in the linear regression section the X values where tensore ut in python it was an array how were each value accessed to be used in the formula y = mx + c without each value being indexed

[deriiinjv]

x is a tensor that contains many values. In PyTorch, mathematical operations on tensors are applied to all values at once.
So when you write y = m * x + c, PyTorch automatically applies the formula to each value inside x, without you having to loop or use indexing like x[i].
You can think of it as PyTorch internally doing the calculation for every element, but in a fast and optimized way.