code: def get_initial_params(rng, model):
      """Returns randomly initialized parameters."""
      token_ids = jnp.ones((2, 3), jnp.int32)
      lengths = jnp.ones((2,), dtype=jnp.int32)
      variables = model.init(
          rng, token_ids, lengths, deterministic=True
      )
      return variables["params"]
  
imports: from typing import Any, Callable, Dict, Iterable, Optional, Sequence, Tuple, Union
  from absl import logging
  from flax import struct
  from flax.metrics import tensorboard
  from flax.training import train_state
  import jax
  import jax.numpy
  import ml_collections
  import numpy
  import optax
  import tensorflow
  import input_pipeline
  import models
label_desc: Use image node_id 2 for calling a global function with example usage: get_initial_params(rng, model) and returns: variables