code: def forward(self, x: torch.Tensor):
      return x * torch.sigmoid(1.702 * x)
  
imports: from collections import OrderedDict
  import timm
  from torch import nn
  from lavis.models.ulip_models import losses
  from torch.nn.parameter import Parameter
  from easydict import EasyDict
  import torch
  import numpy
  from lavis.common.dist_utils import download_cached_file
label_desc: Use image node_id 1 for calling the QuickGELU obj's underlying member method code with example usage: obj.forward(x) and returns: unknown