code: def output(self, *x):
      out = jnp.concatenate(x, axis=-1)
      out = maybe_shard(out, P("dp", None, "mp", None))
  
      out = out.reshape(x[0].shape[:-2] + (-1,))
      out_shard = maybe_shard(out, P("dp", None, "mp"))
  
      return self.output_proj(out_shard)
  
imports: import haiku
  import jax
  import jax.numpy
  import numpy
  from einops import rearrange, repeat
  from mesh_transformer.util import f_psum, g_psum, maybe_shard, head_print
  from jax.experimental import PartitionSpec
  from jax.experimental.maps import thread_resources
label_desc: Use image node_id 5 for calling the TransformerLayerShardV2 obj's underlying member method code with example usage: obj.output() and returns: self