class_docstr: Transformer class.
class_docstr_tok: ["Transformer","class","."]
code: def _get_layer(self, layer_number: int):
      return self.layers[layer_number]
  
imports: import re
  from contextlib import nullcontext
  from dataclasses import dataclass
  from typing import List, Union
  import torch
  from torch import Tensor
  from megatron.core import InferenceParams, parallel_state, tensor_parallel
  from megatron.core.fusions.fused_layer_norm import FusedLayerNorm
  from megatron.core.transformer.custom_layers.transformer_engine import TENorm
  from megatron.core.transformer.enums import AttnMaskType
  from megatron.core.transformer.module import MegatronModule
  from megatron.core.transformer.spec_utils import ModuleSpec, build_module
  from megatron.core.transformer.transformer_config import TransformerConfig
  from megatron.core.transformer.transformer_layer import TransformerLayer
  from megatron.core.utils import make_sharded_tensor_for_checkpoint, make_viewless_tensor
label_desc: Use image node_id 3 for calling the TransformerBlock obj's underlying member method code with example usage: obj._get_layer(layer_number) and returns: self