docstr: Get expert parameters and stats. Used by RemoteExpert to check shapes and for DMoE orchestration.
docstr_tok: ["Get","expert","parameters","and","stats",".","Used","by","RemoteExpert","to","check","shapes","and","for","DMoE","orchestration","."]
code: def get_info(self) -> Dict[str, Any]:
      """Get expert parameters and stats. Used by RemoteExpert to check shapes and for DMoE orchestration."""
      return dict(name=self.name)
  
imports: from __future__ import annotations
  import asyncio
  import math
  from typing import Any, Dict
  import pytest
  import torch
  from hivemind.compression import deserialize_tensor_stream, deserialize_torch_tensor, serialize_torch_tensor
  from hivemind.dht import DHT
  from hivemind.moe.server.connection_handler import ConnectionHandler
  from hivemind.moe.server.module_backend import ModuleBackend
  from hivemind.moe.server.task_pool import TaskPool
  from hivemind.p2p.p2p_daemon_bindings.control import DEFAULT_MAX_MSG_SIZE, P2PHandlerError
  from hivemind.proto import runtime_pb2
  from hivemind.utils.asyncio import amap_in_executor, iter_as_aiter
  from hivemind.utils.serializer import MSGPackSerializer
  from hivemind.utils.streaming import split_for_streaming
  from hivemind.utils.tensor_descr import BatchTensorDescriptor
label_desc: Use image node_id 2 for calling the DummyModuleBackend obj's underlying member method code with example usage: obj.get_info() and returns: dict