code: def tensor_shape(self) -> typing.Sequence[int]:
      return [self.SEQUENCE_LENGTH, self.BATCH_SIZE, self.HIDDEN_SIZE]
  
imports: import logging
  import unittest
  import typing
  import torch
  import torch.nn
  from torch.testing._internal import common_utils
  from apex.transformer import parallel_state
  from apex.transformer.tensor_parallel import layers
  from apex.transformer.testing.commons import set_random_seed
  from apex.transformer.testing.distributed_test_base import NcclDistributedTestBase
  from apex.transformer.testing.distributed_test_base import UccDistributedTestBase
label_desc: Use image node_id 1 for calling the TensorParallelLayerTestBase obj's underlying member method code with example usage: obj.tensor_shape() and returns: list