class_docstr: Custom model for policy gradient algorithms.
code: def import_from_h5(self, import_file):
      # Override this to define custom weight loading behavior from h5 files.
      self.base_model.load_weights(import_file)
  
imports: import h5py
  import numpy
  from pathlib import Path
  import unittest
  import ray
  from ray.rllib.algorithms.ppo import PPOConfig
  from ray.rllib.models.catalog import ModelCatalog
  from ray.rllib.models.tf.misc import normc_initializer
  from ray.rllib.models.tf.tf_modelv2 import TFModelV2
  from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
  from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID
  from ray.rllib.utils.framework import try_import_tf, try_import_torch
  from ray.rllib.utils.test_utils import check, framework_iterator
label_desc: Use image node_id 4 for calling the MyKerasModel obj's underlying member method code with example usage: obj.import_from_h5(import_file) without return types