code: def initialize_tensors(self, enable_training=False):
      # Set the tensors from policy (user module) to container (DS module)
      self.set_attention(
          *self.policy.attention(enable_training=enable_training)
      )
      self.set_mlp(*self.policy.mlp(enable_training=enable_training))
      self.set_layernorm(*self.policy.layernorm())
  
imports: from abc import ABC
  import torch
  import deepspeed
  from deepspeed.ops.transformer.inference.config import DeepSpeedInferenceConfig
  from deepspeed.accelerator import get_accelerator
label_desc: Use image node_id 4 for calling the BaseTransformerContainer obj's underlying member method code with example usage: obj.initialize_tensors(enable_training) without return types