# tensorplay.nn.functional.linear

Source: https://www.tensorplay.cn/docs/generated/tensorplay.nn.functional.linear.html

# tensorplay.nn.functional.linear

tensorplay.nn.functional.linear(input: TensorBase, weight: TensorBase, bias: TensorBase | [None](https://docs.python.org/3/library/constants.html#None) = None) → TensorBase[[source]](../_modules/tensorplay/nn/functional.html#linear)

Applies a linear transformation to the incoming data: \(y = xA^T + b\).

Shape:

- Input: \((*, H_\text{in})\) where \(*\) means any number of dimensions including none and \(H_\text{in} = \text{in\_features}\) .

- Weight: \((H_\text{out}, H_\text{in})\) where \(H_\text{out} = \text{out\_features}\) .

- Bias: \((H_\text{out})\)

- Output: \((*, H_\text{out})\)

See Linear for more details.