class_docstr: Flatten module attached in the model. It basically flattens the input tensor.
class_docstr_tok: ["Flatten","module","attached","in","the","model",".","It","basically","flattens","the","input","tensor","."]
docstr: number of floating point operations performed. 0 for this module.
code: def flops(self, x):
      """
      number of floating point operations performed. 0 for this module.
      """
      return 0
  
imports: import logging
  import math
  import warnings
  from enum import Enum
  from typing import Dict, List, Tuple
  import torch
  import torch.distributed
  import torch.nn
  import torch.nn.functional
  from torch.nn.modules.utils import _ntuple
  from torch.utils.checkpoint import checkpoint
  from vissl.data.collators.collator_helper import MultiDimensionalTensor
  from vissl.utils.activation_checkpointing import checkpoint_trunk
  from vissl.utils.env import get_machine_local_and_dist_rank
  from vissl.utils.misc import is_apex_available
label_desc: Use image node_id 3 for calling the Flatten obj's underlying member method code with example usage: obj.flops(x) and returns: int