class_docstr: Very simple multi-layer perceptron (also called FFN)
class_docstr_tok: ["Very","simple","multi-layer","perceptron","(","also","called","FFN",")"]
code: def forward(self, x):
      for i, layer in enumerate(self.layers):
          x = F.relu(layer(x)) if i < self.num_layers - 1 else layer(x)
      return x
  
imports: import torch
  import torch.nn.functional
  from torch import nn
  from util import box_ops
  from util.misc import NestedTensor, nested_tensor_from_tensor_list, accuracy, get_world_size, interpolate, is_dist_avail_and_initialized
  from .backbone import build_backbone
  from .matcher import build_matcher
  from .segmentation import DETRsegm, PostProcessPanoptic, PostProcessSegm, dice_loss, sigmoid_focal_loss
  from .transformer import build_transformer
label_desc: Use image node_id 2 for calling the MLP obj's underlying member method code with example usage: obj.forward(x) and returns: x