code: def __call__(self, data, states):
      data = mx.np.reshape(
          data, (-1, 1) if self._layout == "NT" else (1, -1)
      )
      logits, new_states = self._gpt2_lm_model(data, states)
      return logits[:, -1, :], new_states
  
file_path: gluon-nlp/scripts/generation/generate_unconditional_gpt2_samples.py
imports: import os
  import mxnet
  import argparse
  from gluonnlp.utils import set_seed
  from gluonnlp.sequence_sampler import BeamSearchSampler, BaseStepDecoder
  from gluonnlp.models.gpt2 import GPT2ForLM, list_pretrained_gpt2, get_pretrained_gpt2
label_desc: Use image node_id 5 for calling the GPT2Decoder obj's underlying member method code with example usage: obj.__call__(data, states) and returns: logits,  new_states