class_docstr: Composes template models from configs.
  
  :param action_spaces_dict: Dict of sub-step id to action space.
  :param observation_spaces_dict: Dict of sub-step id to observation space.
  :param distribution_mapper_config: Distribution mapper configuration.
  :param model_builder: The model builder (template) to create the model from.
  :param policy: Specifies the policy type as a configType.
      E.g. {'type': maze.perception.models.policies.ProbabilisticPolicyComposer} specifies a probabilistic policy.
  :param critic: Specifies the critic type as a configType.
      E.g. {'type': maze.perception.models.critics.StateCriticComposer} specifies the single step state critic.
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docstr: Compiles a template perception network for a given observation space.
  
  :param observation_space: The observation space tp build the model for.
  :return: A Perception Inference Block.
docstr_tok: ["Compiles","a","template","perception","network","for","a","given","observation","space",".",":","param","observation_space",":","The","observation","space","tp","build","the","model","for",".",":","return",":","A","Perception","Inference","Block","."]
code: def template_perception_net(
      self, observation_space: spaces.Dict
  ) -> InferenceBlock:
      """Compiles a template perception network for a given observation space.
  
      :param observation_space: The observation space tp build the model for.
      :return: A Perception Inference Block.
      """
  
      # build model from parameters
      perception_net = self.model_builder.from_observation_space(
          observation_space=observation_space
      )
  
      # initialize model weights
      module_init = make_module_init_normc(std=1.0)
      perception_net.apply(module_init)
  
      return perception_net
  
imports: import functools
  from typing import Optional, Dict, Union, Type, Tuple, List
  from gym import spaces
  from maze.core.agent.torch_policy import TorchPolicy
  from maze.core.agent.torch_state_action_critic import TorchSharedStateActionCritic, TorchStateActionCritic, TorchStepStateActionCritic
  from maze.core.agent.torch_state_critic import TorchStateCritic, TorchSharedStateCritic, TorchStepStateCritic, TorchDeltaStateCritic
  from maze.core.annotations import override
  from maze.core.env.structured_env import StepKeyType
  from maze.core.utils.factory import ConfigType, Factory
  from maze.core.utils.structured_env_utils import flat_structured_space
  from maze.core.wrappers.observation_preprocessing.preprocessors.one_hot import OneHotPreProcessor
  from maze.perception.blocks.inference import InferenceBlock
  from maze.perception.blocks.output.linear import LinearOutputBlock
  from maze.perception.builders.base import BaseModelBuilder
  from maze.perception.models.critics import SharedStateCriticComposer, DeltaStateCriticComposer, StepStateCriticComposer
  from maze.perception.models.critics.critic_composer_interface import CriticComposerInterface
  from maze.perception.models.critics.shared_state_action_critics_composer import SharedStateActionCriticComposer
  from maze.perception.models.critics.step_state_action_critic_composer import StepStateActionCriticComposer
  from maze.perception.models.model_composer import BaseModelComposer
  from maze.perception.models.policies.base_policy_composer import BasePolicyComposer
  from maze.perception.models.policies.probabilistic_policy_composer import ProbabilisticPolicyComposer
  from maze.perception.weight_init import make_module_init_normc
  from maze.utils.bcolors import BColors
label_desc: Use image node_id 3 for calling the TemplateModelComposer obj's underlying member method code with example usage: obj.template_perception_net(observation_space) and returns: perception_net