code: def compress(
      self,
      tensor: torch.Tensor,
      info: CompressionInfo,
      allow_inplace: bool = False,
  ) -> runtime_pb2.Tensor:
      return self.choose_compression(info).compress(
          tensor, info=info, allow_inplace=allow_inplace
      )
  
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 3 for calling the AdaptiveCompressionBase obj's underlying member method code with example usage: obj.compress(tensor, info, allow_inplace) and returns: self