torch.nn.functional.linear
torch.nn.functional.linear(input, weight, bias=None) -> Tensor
Applies a linear transformation to the incoming data: y = xA^T + b.
This operation supports 2-D "weight" with sparse layout
Warning:
 Sparse support is a beta feature and some layout(s)/dtype/device
 combinations may not be supported, or may not have autograd
 support. If you notice missing functionality please open a
 feature request.

This operator supports TensorFloat32.
Shape:
  * Input: (*, in\_features) where *** means any number of
    additional dimensions, including none

  * Weight: (out\_features, in\_features) or (in\_features)

  * Bias: (out\_features) or ()

  * Output: (*, out\_features) or (*), based on the shape of the
    weight
