class_docstr: Wrap convolution layers bigger than the provided number of parameters
class_docstr_tok: ["Wrap","convolution","layers","bigger","than","the","provided","number","of","parameters"]
code: def __init__(self, threshold: int):
      self.threshold = threshold
  
file_path: vissl/vissl/utils/fsdp_utils.py
imports: import torch.distributed
  import torch.nn
  from fairscale.nn import auto_wrap, default_auto_wrap_policy, enable_wrap
  from fairscale.nn.data_parallel import auto_wrap_bn, FullyShardedDataParallel
  from vissl.config.attr_dict import AttrDict
label_desc: Use image node_id 1 to create a new _BigConvAutoWrapPolicy object  with example: obj = _BigConvAutoWrapPolicy(threshold)