class_docstr: Apply compression strategy 1 if tensor has more than :threshold: elements and strategy 2 otherwise
code: def choose_compression(
      self, info: CompressionInfo
  ) -> CompressionBase:
      return (
          self.greater_equal
          if info.descriptor.numel() >= self.threshold
          else self.less
      )
  
imports: from abc import ABC, abstractmethod
  from typing import Mapping, Sequence, Union
  import torch
  from hivemind.compression.base import CompressionBase, CompressionInfo, Key, NoCompression, TensorRole
  from hivemind.compression.serialization import deserialize_torch_tensor
  from hivemind.proto import runtime_pb2
label_desc: Use image node_id 2 for calling the SizeAdaptiveCompression obj's underlying member method code with example usage: obj.choose_compression(info) and returns: unknown