clamp(k, max=60) # clamp k to avoid overflow k = torch.exp(k) kv = k * v # Compute the W-curve = [e^(-n * e^time_decay), e^(-(n-1) * e^time_decay), ..., 1, e^(time_first)] self.time_w = torch.cat([torch.exp(self.time_decay) * self.time_curve.to(x....
{\n margin: 0 auto;\n max-width: 65.875rem;\n overflow: hidden;\n padding: 0.3125rem 0.3125rem 0.3125rem 1.5625rem;\n .custom_widget_EA_Custom_Footer_truste-banner_1efh7_124{\n outline: none;\n padding: 0.3125rem 0.625rem;\n margin: 0 auto;\n display: flex;\n }\n #custom_...