code: def __init__(
      self,
      in_features: int,
      out_features: int,
      bias: bool = True,
      bf16=False,
      device=None,
      dtype=None,
  ) -> None:
      super().__init__(
          in_features,
          out_features,
          bias=bias,
          device=device,
          dtype=dtype,
      )
      self.bf16 = bf16
  
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.cuda.amp import custom_bwd, custom_fwd
  import fused_dense_lib
  from src.ops.gelu_activation import gelu_bwd
label_desc: Use image node_id 1 to create a new FusedDenseTD object from inherited base classes: nn with example: obj = FusedDenseTD(in_features, out_features, bias, bf16, device, dtype)