code: def __init__(
      self, in_features, intermediate_features, out_features, bias=True
  ):
      super(FusedDenseGeluDense, self).__init__()
      assert (
          bias == True
      ), "DenseGeluDense module without bias is currently not supported"
      self.in_features = in_features
      self.intermediate_features = intermediate_features
      self.out_features = out_features
      self.weight1 = nn.Parameter(
          torch.empty(intermediate_features, in_features)
      )
      self.bias1 = nn.Parameter(torch.empty(intermediate_features))
      self.weight2 = nn.Parameter(
          torch.empty(out_features, intermediate_features)
      )
      self.bias2 = nn.Parameter(torch.empty(out_features))
  
imports: import torch
  from torch import nn
  import fused_dense_cuda
  from apex._autocast_utils import _cast_if_autocast_enabled
label_desc: Use image node_id 1 to create a new FusedDenseGeluDense object from inherited base classes: nn with example: obj = FusedDenseGeluDense(in_features, intermediate_features, out_features, bias)