Mish — PyTorch 2.7 documentation (original) (raw)
class torch.nn.Mish(inplace=False)[source][source]¶
Applies the Mish function, element-wise.
Mish: A Self Regularized Non-Monotonic Neural Activation Function.
Mish(x)=x∗Tanh(Softplus(x))\text{Mish}(x) = x * \text{Tanh}(\text{Softplus}(x))
Shape:
- Input: (∗)(*), where ∗* means any number of dimensions.
- Output: (∗)(*), same shape as the input.
Examples:
m = nn.Mish() input = torch.randn(2) output = m(input)
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