code: def custom_histogram_weights(self):
      for name, params in self.named_parameters():
          self.logger.experiment.add_histogram(
              name, params, self.current_epoch
          )
  
imports: import copy
  import pytorch_lightning
  import torch
  import torch.nn
  import torchvision
  from lightly.data import LightlyDataset
  from lightly.loss import NTXentLoss
  from lightly.models import ResNetGenerator
  from lightly.models.modules.heads import MoCoProjectionHead
  from lightly.models.utils import batch_shuffle, batch_unshuffle, deactivate_requires_grad, update_momentum
  from lightly.transforms import MoCoV2Transform, utils
label_desc: Use image node_id 4 for calling the MocoModel obj's underlying member method code with example usage: obj.custom_histogram_weights() without return types