class_docstr: the full GPT language model, with a context size of block_size
code: def get_block_size(self):
      return self.block_size
  
imports: import math
  import os
  from dataclasses import dataclass
  from typing import Optional, Tuple
  import numpy
  import torch
  import torch.utils.checkpoint
  from torch import nn
  from torch.nn import functional
  from ...modeling_utils import PreTrainedModel
  from ...utils import ModelOutput, add_start_docstrings, add_start_docstrings_to_model_forward, logging, replace_return_docstrings
  from .configuration_trajectory_transformer import TrajectoryTransformerConfig
label_desc: Use image node_id 2 for calling the TrajectoryTransformerModel obj's underlying member method code with example usage: obj.get_block_size() and returns: self