linear¶
torch.nn.functional.linear(input, weight, bias=None) → Tensor
Applies an affine linear transformation with a transposed weight layout matching nn.Linear:
\[
y = x A^T + b
\]
Parameters¶
- input (
Tensor) – Input of shape \((*, in\_features)\). - weight (
Tensor) – Weight of shape \((out\_features, in\_features)\). - bias (
Tensor, optional) – Bias of shape \((out\_features)\).
Shape¶
- Input: \((*, in)\)
- Output: \((*, out)\)
Example¶
y = torch.nn.functional.linear(x, w, b)