code: def __init__(
      self, embedding=None, blocks=None, norm=None, head=None
  ) -> None:
      super().__init__()
      self.embedding = embedding
      self.blocks = blocks
      self.norm = norm
      self.head = head
      assert blocks is not None
      if norm is not None or head is not None:
          assert norm is not None and head is not None
  
imports: import inspect
  import titans.model.gpt.gpt
  import torch
  import torch.nn
  from colossalai import kernel
  from colossalai import nn
  from colossalai.legacy.context.parallel_mode import ParallelMode
  from colossalai.legacy.core import global_context
  from colossalai.legacy.nn.layer.wrapper import PipelineSharedModuleWrapper
  from colossalai.legacy.pipeline.utils import partition_uniform
  from colossalai.logging import get_dist_logger
  from .embed import HiddenParallelEmbedding, HiddenParallelGPTLMHead1D, VocabParallelEmbedding, VocabParallelGPTLMHead1D
  from .gpt1d import FusedGPTTransformerLayer1D, GPTTransformerLayer1D
label_desc: Use image node_id 1 to create a new GenericPipelineGPT object from inherited base classes: nn with example: obj = GenericPipelineGPT(embedding, blocks, norm, head)