code: def bernoulli_p(self, p=0.5, *, generator=None):
      if self.device == torch.device("cpu"):
          return NotImplemented
      assert generator is None
      return torch.rand_like(self, dtype=torch.float32) < p
  
imports: import functools
  from collections import defaultdict
  from typing import Callable, Dict
  import torch
  import torch._decomp
  from torch._decomp import get_decompositions
  from torch._ops import OpOverload
label_desc: Use image node_id 6 for calling a global function with example usage: bernoulli_p(p) and returns: unknown, NotImplemented