code: def __init__(self, intermediate_size, hidden_size, num_layers):
      super().__init__()
      self.blocks = nn.ModuleList(
          [
              NonRepeatBlock(intermediate_size, hidden_size, i)
              for i in range(num_layers)
          ]
      )
  
imports: from typing import Optional, Tuple
  import torch
  import torch.nn
  from torch.fx import GraphModule
  from transformers.pytorch_utils import Conv1D
  from colossalai._analyzer.fx.passes import shape_prop_pass
  from colossalai._analyzer.fx.tracer.tracer import ColoTracer
  from colossalai.auto_parallel.tensor_shard.utils.factory import find_repeat_blocks
  from colossalai.testing import clear_cache_before_run, parameterize, run_on_environment_flag
label_desc: Use image node_id 1 to create a new NonRepeatModel object from inherited base classes: nn with example: obj = NonRepeatModel(intermediate_size, hidden_size, num_layers)