ReLU

class torch.nn.modules.activation.ReLU(inplace=False) [source]

Applies the rectified linear unit function element-wise.

$\text{ReLU}(x) = (x)^+ = \max(0, x)$

Parameters

inplace (bool) – can optionally do the operation in-place. Default: False

Shape:

• Input: $(*)$, where $*$ means any number of dimensions.
• Output: $(*)$, same shape as the input.

Examples:

  >>> m = nn.ReLU()
  >>> input = torch.randn(2)
  >>> output = m(input)


An implementation of CReLU - https://arxiv.org/abs/1603.05201

  >>> m = nn.ReLU()
  >>> input = torch.randn(2).unsqueeze(0)
  >>> output = torch.cat((m(input), m(-input)))

extra_repr() [source]

Return the extra representation of the module.

Return type

str

forward(input) [source]

Runs the forward pass.

Return type

Tensor