code: def denoise_t15():
      """Noise up with dropout and a little transformer."""
      hparams = xmoe2_dense_0()
      hparams.decoder_type = "denoising"
      hparams.noising_spec_train = {
          "type": "transformer",
          "overrides": {
              "noising_spec_train": {"type": "mask", "prob": 0.15},
              "noising_use_eval_during_train": 0.0,
              "decoder_layers": ["att", "drd"] * 4,
              "num_heads": 4,
              "d_model": 512,
              "d_ff": 2048,
          },
      }
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.models import mtf_transformer
  from tensor2tensor.models import mtf_transformer2
  from tensor2tensor.models.research import moe
  from tensor2tensor.utils import registry
label_desc: Use image node_id 34 for calling a global function with example usage: denoise_t15() and returns: hparams