code: def slicenet_params1_tiny():
      """Version for fast local runs."""
      hparams = slicenet_params1()
      hparams.separability = 0
      hparams.hidden_size = 128
      hparams.num_hidden_layers = 2
      hparams.batch_size = 512
      hparams.learning_rate_warmup_steps = 200
      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 11 for calling a global function with example usage: slicenet_params1_tiny() and returns: hparams