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torch.nn.functional.linear#

torch.nn.functional.linear(input, weight, bias=None) Tensor#

Applies a linear transformation to the incoming data: y=xAT+by = 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)(*, in\_features) where * means any number of additional dimensions, including none

  • Weight: (out_features,in_features)(out\_features, in\_features) or (in_features)(in\_features)

  • Bias: (out_features)(out\_features) or ()()

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