code: def __init__(self, config):
      super().__init__()
      heads = config["n_heads"]
      shards = config["cores_per_replica"]
      layer_count = config["layers"]
  
      self.transformer_layers = []
      self.heads = heads
  
      self.heads_per_shard = heads // shards
  
      self.embed = EmbeddingShard(config)
  
      init_scale = 2.0 / layer_count
  
      for i in range(layer_count):
          self.transformer_layers.append(
              TransformerLayerShard(
                  config, name=f"layer_{i}", init_scale=init_scale
              )
          )
  
      self.proj = ProjectionShard(config)
  
      if config["pe"] == "t5":
          self.rpe = RelativePositionEmbs()
      else:
          self.rpe = None
  
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 1 to create a new CausalTransformerShard object from inherited base classes: hk with example: obj = CausalTransformerShard(config)