code: def slicenet_params1_noam():
      """Version with Noam's decay scheme."""
      hparams = slicenet_params1()
      hparams.learning_rate_decay_scheme = "noam"
      hparams.learning_rate = 1.0
      hparams.learning_rate_warmup_steps = 4000
      hparams.initializer = "uniform_unit_scaling"
      hparams.optimizer_adam_epsilon = 1e-9
      hparams.optimizer_adam_beta1 = 0.9
      hparams.optimizer_adam_beta2 = 0.98
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from six.moves import range
  from six.moves import zip
  from tensor2tensor.layers import common_attention
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.layers import modalities
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
label_desc: Use image node_id 10 for calling a global function with example usage: slicenet_params1_noam() and returns: hparams