code: def forward(self, x: torch.Tensor):
      x = self.dense_block(x)
      return x
  
imports: import warnings
  import torch
  import torch.nn
  from omegaconf import DictConfig
  from pytorch_tabular.models.common.layers import Embedding1dLayer
  from pytorch_tabular.utils import get_logger
  from ..base_model import BaseModel
  from ..common import activations
  from ..common.layers import Lambda
  from .architecture_blocks import DenseODSTBlock
label_desc: Use image node_id 4 for calling the NODEBackbone obj's underlying member method code with example usage: obj.forward(x) and returns: x