class_docstr: Agents than plays through a torch neural network
class_docstr_tok: ["Agents","than","plays","through","a","torch","neural","network"]
code: def copy(self) -> "TorchAgent":
      return TorchAgent(_copy.deepcopy(self.module), self.deterministic)
  
imports: import warnings
  import operator
  import copy
  import typing
  import gym
  import numpy
  from nevergrad.common.tools import pytorch_import_fix
  from nevergrad.parametrization import parameter
  from ..base import ExperimentFunction
  from .None import base
  from .None import envs
  import torch
  import torch.nn.functional
  from torch import nn
  from torch.utils.data import WeightedRandomSampler
label_desc: Use image node_id 4 for calling the TorchAgent obj's underlying member method code with example usage: obj.copy() and returns: TorchAgent