code: def torch_bernoulli_(self, p, size):
      return (torch.rand(size) < p).float()
  
imports: import torch
  import torchvision
  from PIL import Image
  from torch.utils.data import TensorDataset
  from torchvision import transforms
  from torchvision.datasets import MNIST
  from torchvision.transforms.functional import rotate
  from dowhy.causal_prediction.datasets.base_dataset import MultipleDomainDataset
label_desc: Use image node_id 3 for calling the MNISTCausalAttribute obj's underlying member method code with example usage: obj.torch_bernoulli_(p, size) and returns: unknown