class_docstr: A GLO encoder module, which is just a thin wrapper around nn.Embed.
  
  Attributes:
    num_embeddings: The number of embeddings.
    features: The dimensions of each embedding.
    embedding_init: The initializer to use for each.
code: def setup(self):
      self.embed = nn.Embed(
          num_embeddings=self.num_embeddings,
          features=self.features,
          embedding_init=self.embedding_init,
      )
  
imports: from flax import linen
  import jax.numpy
  from nerfies import types
label_desc: Use image node_id 1 for calling the GloEncoder obj's underlying member method code with example usage: obj.setup() without return types