code: def _build_module(self, input_layer):
      self.given_raw_actions = tf.placeholder(
          tf.float32, [None, self.num_actions], name="actions"
      )
      self.input = [self.given_raw_actions]
      self.output = []
  
      # build the network
      self._build_continuous_net(input_layer, self.spaces.action)
  
file_path: coach/rl_coach/architectures/tensorflow_components/heads/sac_head.py
imports: import tensorflow
  from rl_coach.architectures.tensorflow_components.layers import Dense
  from rl_coach.architectures.tensorflow_components.heads.head import Head
  from rl_coach.base_parameters import AgentParameters
  from rl_coach.core_types import ActionProbabilities
  from rl_coach.spaces import SpacesDefinition
  from rl_coach.utils import eps
label_desc: Use image node_id 2 for calling the SACPolicyHead obj's underlying member method code with example usage: obj._build_module(input_layer) without return types