code: def vqa_self_attention_feature_batch1024_exp():
      hparams = vqa_self_attention_feature_batch1024()
      hparams.learning_rate_schedule = (
          "constant*linear_warmup*exp_decay"
      )
      hparams.learning_rate_decay_steps = 4000
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from six.moves import range
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import vqa_layers
  from tensor2tensor.models.research import vqa_attention
  from tensor2tensor.utils import registry
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
  from tensorflow.contrib.layers.python.layers import utils
label_desc: Use image node_id 14 for calling a global function with example usage: vqa_self_attention_feature_batch1024_exp() and returns: hparams