class_docstr: Network for generating voxels from latent codes.
class_docstr_tok: ["Network","for","generating","voxels","from","latent","codes","."]
docstr: Initialize the optimizers with a scheduler.
docstr_tok: ["Initialize","the","optimizers","with","a","scheduler","."]
code: def init_optimizer(
      self, learning_rate_network=0.0001, learning_rate_codes=0.0001
  ):
      """Initialize the optimizers with a scheduler."""
      self.optimizer_network = tf.keras.optimizers.Adam(
          learning_rate=learning_rate_network
      )
      self.optimizer_latent = tf.keras.optimizers.Adam(
          learning_rate=learning_rate_codes
      )
  
file_path: graphics/tensorflow_graphics/projects/radiance_fields/sharf/geometry_net/model.py
imports: from absl import logging
  import tensorflow
  import tensorflow_graphics.projects.radiance_fields.sharf.geometry_net.layers
  import tensorflow_graphics.projects.radiance_fields.sharf.voxel_functions
label_desc: Use image node_id 4 for calling the GeometryNetwork obj's underlying member method code with example usage: obj.init_optimizer(learning_rate_network, learning_rate_codes) without return types