code: def generate(
      self,
      ctx,
      ctx_length,
      gen_length,
      sampler_options,
      return_logits=False,
  ):
      key = hk.PRNGSequence(random.randint(0, 2**60))
  
      batch_size = ctx.shape[0]
      aux = jnp.zeros((batch_size, gen_length), dtype=jnp.uint32)
      self.gen_length = gen_length
      self.return_logits = return_logits
  
      return self.generate_xmap(
          self.state,
          jnp.array(key.take(batch_size)),
          ctx,
          np.array(ctx_length, dtype=np.uint32),
          aux,
          sampler_options,
      )
  
imports: import gc
  import random
  import time
  from functools import partial
  import haiku
  import jax
  import jax.numpy
  import numpy
  import optax
  from jax.experimental.maps import thread_resources
  from jax.experimental.pjit import pjit
  from mesh_transformer.checkpoint import read_ckpt, write_ckpt, write_ckpt_v2, load_ckpt_v2
  from mesh_transformer.layers import EmbeddingShard, TransformerLayerShard, RelativePositionEmbs, ProjectionShard, TransformerLayerShardV2, Projection, EmbeddingShardV2
  from mesh_transformer.util import to_f32, to_bf16, maybe_shard, head_print, global_norm
  from jax.experimental import PartitionSpec
label_desc: Use image node_id 6 for calling the CausalTransformer obj's underlying member method code with example usage: obj.generate(ctx, ctx_length, gen_length, sampler_options, return_logits) and returns: self