code: def setup_method(self, method):
      Utils.initialize_model_parallel(1, 1)
      model_parallel_cuda_manual_seed(123)
      self.config = TransformerConfig(
          num_layers=2,
          hidden_size=12,
          num_attention_heads=4,
          use_cpu_initialization=True,
      )
  
      # specify Transformer Layer spec with all identity ops
      self.transformer_layer_spec = TransformerLayerSubmodules()
  
      # specify attention spec using already imported class
      self.attention_spec = ModuleSpec(
          module=SelfAttention,
          params={"attn_mask_type": AttnMaskType.causal},
          submodules=SelfAttentionSubmodules(
              linear_qkv=TELayerNormColumnParallelLinear,
              core_attention=TEDotProductAttention,
              linear_proj=TERowParallelLinear,
          ),
      )
  
      # specify layernorm spec with module path to test dynamic importing
      self.layernorm_spec = ModuleSpec(
          module=(
              "megatron.core.transformer.custom_layers.transformer_engine",
              "TENorm",
          ),
      )
  
      # specify bias dropout add with module path
      self.bda_spec = ModuleSpec(
          module=(
              "megatron.core.fusions.fused_bias_dropout",
              "get_bias_dropout_add",
          )
      )
  
imports: import sys
  from dataclasses import dataclass, fields
  from importlib.metadata import version
  import pytest
  import torch
  import transformer_engine
  from pkg_resources import packaging
  from megatron.core.fusions.fused_bias_dropout import get_bias_dropout_add
  from megatron.core.tensor_parallel.random import model_parallel_cuda_manual_seed
  from megatron.core.transformer.attention import SelfAttention, SelfAttentionSubmodules
  from megatron.core.transformer.custom_layers.transformer_engine import TEDotProductAttention, TELayerNormColumnParallelLinear, TENorm, TERowParallelLinear
  from megatron.core.transformer.dot_product_attention import DotProductAttention
  from megatron.core.transformer.enums import AttnMaskType
  from megatron.core.transformer.identity_op import IdentityFuncOp, IdentityOp
  from megatron.core.transformer.spec_utils import ModuleSpec, build_module, import_module
  from megatron.core.transformer.transformer_config import TransformerConfig
  from megatron.core.transformer.transformer_layer import TransformerLayerSubmodules
  from tests.unit_tests.test_utilities import Utils
label_desc: Use image node_id 1 for calling the TestSpecCustomization obj's underlying member method code with example usage: obj.setup_method(method) without return types