WHAT DOES "-> torch.Tensor:" do?

[OneManShow0815]

In Daniels Video Section 1.0 He writes the LinearRegression Class
In the forward function header is written:

def forward(self, x: torch.Tensor): -> torch.Tensor:
return self.weights * x + self.bias

What does the part"-> torch.Tensor:" do?
I tried to run the rest without it, runs all well, no error.

Regrads
Sven

[0xm4ze]

The part "-> torch.Tensor:" in the function header of forward(self, x: torch.Tensor) -> torch.Tensor: is a type hint that specifies the expected type of the return value from the function. In this case, it indicates that the forward method is expected to return a torch.Tensor object.

Here's a breakdown of what this type hint does and its implications:

1. Type Annotation: It clarifies that the forward method should take an input x of type torch.Tensor.

2. Return Type Annotation: It specifies that the method will return a value of type torch.Tensor.

[OneManShow0815]

Thank you tal7aouy, Great.
Is that a hint for human programer or does it change anything at code execution?
Regards
Sven