class_docstr: Block that creates multiple single models
class_docstr_tok: ["Block","that","creates","multiple","single","models"]
docstr: Overrides gluon.HybridBlock.hybrid_forward
  :param nd or sym F: ndarray or symbol block
  :param inputs: model inputs, one for each embedder. Passed to all networks.
  :return: head outputs in a tuple
docstr_tok: ["Overrides","gluon.HybridBlock.hybrid_forward",":","param","nd","or","sym","F",":","ndarray","or","symbol","block",":","param","inputs",":","model","inputs",",","one","for","each","embedder",".","Passed","to","all","networks",".",":","return",":","head","outputs","in","a","tuple"]
code: def hybrid_forward(self, F, *inputs):
      """Overrides gluon.HybridBlock.hybrid_forward
      :param nd or sym F: ndarray or symbol block
      :param inputs: model inputs, one for each embedder. Passed to all networks.
      :return: head outputs in a tuple
      """
      outputs = tuple()
      for net in self.nets:
          out = net(*inputs)
          outputs += out
      return outputs
  
imports: import copy
  from itertools import chain
  from typing import List, Tuple, Union
  from types import ModuleType
  import numpy
  import mxnet
  from mxnet import nd, sym
  from mxnet.gluon import HybridBlock
  from mxnet.ndarray import NDArray
  from mxnet.symbol import Symbol
  from rl_coach.base_parameters import NetworkParameters
  from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
  from rl_coach.architectures.head_parameters import HeadParameters, PPOHeadParameters
  from rl_coach.architectures.head_parameters import PPOVHeadParameters, VHeadParameters, QHeadParameters
  from rl_coach.architectures.middleware_parameters import MiddlewareParameters
  from rl_coach.architectures.middleware_parameters import FCMiddlewareParameters, LSTMMiddlewareParameters
  from rl_coach.architectures.mxnet_components.architecture import MxnetArchitecture
  from rl_coach.architectures.mxnet_components.embedders import ImageEmbedder, TensorEmbedder, VectorEmbedder
  from rl_coach.architectures.mxnet_components.heads import Head, HeadLoss, PPOHead, PPOVHead, VHead, QHead
  from rl_coach.architectures.mxnet_components.middlewares import FCMiddleware, LSTMMiddleware
  from rl_coach.architectures.mxnet_components import utils
  from rl_coach.base_parameters import AgentParameters, Device, DeviceType, EmbeddingMergerType
  from rl_coach.spaces import SpacesDefinition, PlanarMapsObservationSpace, TensorObservationSpace
label_desc: Use image node_id 2 for calling the GeneralModel obj's underlying member method code with example usage: obj.hybrid_forward(F) and returns: outputs