code: def get_config(self):
      config = super(EmbeddingLookupLayer, self).get_config()
  
      config.update(
          {
              "k": self.k,
              "max_ent_size": self._max_ent_size_internal,
              "max_rel_size": self._max_rel_size_internal,
              "entity_kernel_initializer": self.ent_init,
              "entity_kernel_regularizer": self.ent_regularizer,
              "relation_kernel_initializer": self.rel_init,
              "relation_kernel_regularizer": self.rel_regularizer,
          }
      )
  
      return config
  
file_path: AmpliGraph/ampligraph/latent_features/layers/encoding/EmbeddingLookupLayer.py
imports: import tensorflow
  import numpy
label_desc: Use image node_id 1 for calling the EmbeddingLookupLayer obj's underlying member method code with example usage: obj.get_config() and returns: config