docstr: Sets the initial value of entity and relation embedding matrix.
  
  This function is mainly used during the partitioned training where the full embedding matrix is
  initialized outside the model.
docstr_tok: ["Sets","the","initial","value","of","entity","and","relation","embedding","matrix",".","This","function","is","mainly","used","during","the","partitioned","training","where","the","full","embedding","matrix","is","initialized","outside","the","model","."]
code: def set_ent_rel_initial_value(self, ent_init, rel_init):
      """
      Sets the initial value of entity and relation embedding matrix.
  
      This function is mainly used during the partitioned training where the full embedding matrix is
      initialized outside the model.
      """
      self.ent_partition = ent_init
      self.rel_partition = rel_init
  
file_path: AmpliGraph/ampligraph/latent_features/layers/encoding/EmbeddingLookupLayer.py
imports: import tensorflow
  import numpy
label_desc: Use image node_id 3 for calling the EmbeddingLookupLayer obj's underlying member method code with example usage: obj.set_ent_rel_initial_value(ent_init, rel_init) without return types