SiLU implementation · GitHub
gist.github.com › Lexie88rus › 6f8e6ab48f0729fApplies the Sigmoid Linear Unit (SiLU) function element-wise: SiLU(x) = x * sigmoid(x) ''' return input * torch. sigmoid (input) # use torch.sigmoid to make sure that we created the most efficient implemetation based on builtin PyTorch functions # create a class wrapper from PyTorch nn.Module, so # the function now can be easily used in models ...
Class SiLU — PyTorch master documentation
pytorch.org › cppdocs › apiClass Documentation. class torch::nn :: SiLU : public torch::nn:: ModuleHolder < SiLUImpl >. A ModuleHolder subclass for SiLUImpl. See the documentation for SiLUImpl class to learn what methods it provides, or the documentation for ModuleHolder to learn about PyTorch’s module storage semantics. Public Types. using Impl = SiLUImpl.
torch.nn.functional.silu — PyTorch 1.10.1 documentation
pytorch.org › torchtorch.nn.functional.silu. Applies the Sigmoid Linear Unit (SiLU) function, element-wise. The SiLU function is also known as the swish function. silu ( x) = x ∗ σ ( x), where σ ( x) is the logistic sigmoid. \text {silu} (x) = x * \sigma (x), \text {where } \sigma (x) \text { is the logistic sigmoid.} silu(x) = x∗σ(x),where σ(x) is the ...
SiLU — PyTorch 1.10.1 documentation
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