code: def reshard(x, old_shape):
      if len(x.shape) == 1:
          # print("epoch")
          # print(x)
          out = x[0:1]
  
      elif len(x.shape) == 2:
          # print(f"LN/bias {x.shape}")
          # print(x[:, :16])
  
          if (x[1:] == x[-1]).all():
              # print("LN")
              if (x[1:] == 0).all() or (x[1:] == 1).all():
                  out = x[0:1]
              else:
                  # print("shard bias")
                  out = x[0:1] * x.shape[0] / old_shape[0]
          else:
              # print("bias")
              out = x.reshape(old_shape)
  
          print(out[:, :16])
  
      elif len(x.shape) == 3:
          # print(f"weight {x.shape}")
          if x.shape[0] * x.shape[2] == old_shape[2]:
              # print("case 1")
              out = jnp.transpose(x, (1, 0, 2)).reshape(old_shape)
          elif x.shape[0] * x.shape[1] == old_shape[1]:
              # print("case 2")
              out = x.reshape(old_shape)
          else:
              raise Exception(f"unimplemented, {x.shape}, {old_shape}")
      else:
          raise Exception(f"unimplemented, {x}")
  
      return out
  
imports: import functools
  import io
  import json
  import time
  import jax
  import jax.numpy
  import numpy
  import multiprocessing
  import ray
  from smart_open import open
  from mesh_transformer.util import head_print
label_desc: Use image node_id 7 for calling a global function with example usage: reshard(x, old_shape) and returns: out