class_docstr: This class implements a `Mask RCNN style object detector <https://arxiv.org/abs/1703.06870>`
  
  Args:
      opts: command-line arguments
      encoder (BaseImageEncoder): Encoder network (e.g., ResNet or MobileViT)
class_docstr_tok: ["This","class","implements","a","`","Mask","RCNN","style","object","detector","<","https",":","\/\/arxiv.org\/abs\/1703.06870",">","`","Args",":","opts",":","command-line","arguments","encoder","(","BaseImageEncoder",")",":","Encoder","network","(","e.g.",",","ResNet","or","MobileViT",")"]
code: def update_layer_norm_eps(self):
      for m in self.modules():
          if isinstance(m, nn.LayerNorm):
              m.eps = 1e-6
  
imports: import argparse
  from typing import Any, Dict, List, Optional, Tuple, Union
  import torch
  from torch import Tensor, nn
  from torch.nn import functional
  from torchvision.models.detection.anchor_utils import AnchorGenerator
  from torchvision.models.detection.mask_rcnn import MaskRCNN
  from torchvision.ops import MultiScaleRoIAlign
  from cvnets import parameter_list
  from cvnets.layers import ConvLayer2d, Identity
  from cvnets.models import MODEL_REGISTRY
  from cvnets.models.classification.base_image_encoder import BaseImageEncoder
  from cvnets.models.detection import DetectionPredTuple
  from cvnets.models.detection.base_detection import BaseDetection
  from cvnets.models.detection.utils.rcnn_utils import FastRCNNConvFCHead, FastRCNNPredictor, MaskRCNNHeads, MaskRCNNPredictor, RPNHead
  from utils import logger
label_desc: Use image node_id 2 for calling the MaskRCNNDetector obj's underlying member method code with example usage: obj.update_layer_norm_eps() without return types