class_docstr: A conv. + recurrent keras net example using a pre-trained MobileNet.
class_docstr_tok: ["A","conv",".","+","recurrent","keras","net","example","using","a","pre-trained","MobileNet","."]
code: def get_initial_state(self):
      return [
          np.zeros(self.cell_size, np.float32),
          np.zeros(self.cell_size, np.float32),
      ]
  
file_path: ray/python/ray/rllib/examples/models/mobilenet_v2_with_lstm_models.py
imports: import numpy
  from ray.rllib.models.modelv2 import ModelV2
  from ray.rllib.models.tf.recurrent_net import RecurrentNetwork
  from ray.rllib.models.torch.misc import SlimFC
  from ray.rllib.models.torch.recurrent_net import RecurrentNetwork
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.framework import try_import_tf, try_import_torch
label_desc: Use image node_id 3 for calling the MobileV2PlusRNNModel obj's underlying member method code with example usage: obj.get_initial_state() and returns: list