class_docstr: TorchModelV2 concat'ing CNN outputs to flat input(s), followed by FC(s).
  
  Note: This model should be used for complex (Dict or Tuple) observation
  spaces that have one or more image components.
  
  The data flow is as follows:
  
  `obs` (e.g. Tuple[img0, img1, discrete0]) -> `CNN0 + CNN1 + ONE-HOT`
  `CNN0 + CNN1 + ONE-HOT` -> concat all flat outputs -> `out`
  `out` -> (optional) FC-stack -> `out2`
  `out2` -> action (logits) and value heads.
class_docstr_tok: ["TorchModelV2","concat'ing","CNN","outputs","to","flat","input","(","s",")",",","followed","by","FC","(","s",")",".","Note",":","This","model","should","be","used","for","complex","(","Dict","or","Tuple",")","observation","spaces","that","have","one","or","more","image","components",".","The","data","flow","is","as","follows",":","`","obs","`","(","e.g",".","Tuple","[","img0",",","img1",",","discrete0","]",")","-",">","`","CNN0","+","CNN1","+","ONE-HOT","`","`","CNN0","+","CNN1","+","ONE-HOT","`","-",">","concat","all","flat","outputs","-",">","`","out","`","`","out","`","-",">","(","optional",")","FC-stack","-",">","`","out2","`","`","out2","`","-",">","action","(","logits",")","and","value","heads","."]
code: def value_function(self):
      return self._value_out
  
file_path: ray/python/ray/rllib/models/torch/complex_input_net.py
imports: from gymnasium.spaces import Box, Discrete, MultiDiscrete
  import numpy
  import tree
  from ray.rllib.models.torch.misc import normc_initializer, SlimFC
  from ray.rllib.models.catalog import ModelCatalog
  from ray.rllib.models.modelv2 import ModelV2, restore_original_dimensions
  from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
  from ray.rllib.models.utils import get_filter_config
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.framework import try_import_torch
  from ray.rllib.utils.spaces.space_utils import flatten_space
  from ray.rllib.utils.torch_utils import one_hot
label_desc: Use image node_id 3 for calling the ComplexInputNetwork obj's underlying member method code with example usage: obj.value_function() and returns: self