Fix minor typo in NoisyFactorizedLinear
@@ -46,7 +46,7 @@ class NoisyFactorizedLinear(nn.Linear):
self.sigma_bias = nn.Parameter(torch.full((out_features,), sigma_init))
def forward(self, input):
- self.epsison_input.normal_()
+ self.epsilon_input.normal_()
self.epsilon_output.normal_()
func = lambda x: torch.sign(x) * torch.sqrt(torch.abs(x))
