code: def t1_f32(ctx, t1_f32_sharding):
      return DTensor.from_sharding_list(
          ctx,
          t1_f32_sharding,
          num_partitions=3,
      )
  
imports: import pytest
  import torch
  from fate.arch import Context
  from fate.arch.computing.backends.standalone import CSession
  from fate.arch.federation.backends.standalone import StandaloneFederation
  from fate.arch.tensor import DTensor
  from pytest import fixture
label_desc: Use image node_id 6 for calling a global function with example usage: t1_f32(ctx, t1_f32_sharding) and returns: DTensor