class_docstr: Serve parameters for a single process.
class_docstr_tok: ["Serve","parameters","for","a","single","process","."]
code: def __init__(
      self,
      params: Dict[KeyT, FloatsXd] = {},
      grads: Dict[KeyT, FloatsXd] = {},
      *,
      proxy=None,
  ):
      self._params = dict(params)
      self._grads = dict(grads)
      # Allow a 'proxy' to be provided to support remote parameters. This
      # is experimental, it's the mechanism we use in the Ray integration.
      self.proxy = proxy
  
file_path: thinc/thinc/backends/_param_server.py
imports: from typing import Any, Dict, Optional, Tuple
  from ..types import FloatsXd
  from ..util import get_array_module
label_desc: Use image node_id 1 to create a new ParamServer object  with example: obj = ParamServer(params, grads)