code: def basic_fc_small():
      """Small fully connected model."""
      hparams = common_hparams.basic_params1()
      hparams.learning_rate = 0.1
      hparams.batch_size = 128
      hparams.hidden_size = 256
      hparams.num_hidden_layers = 2
      hparams.initializer = "uniform_unit_scaling"
      hparams.initializer_gain = 1.0
      hparams.weight_decay = 0.0
      hparams.dropout = 0.0
      return hparams
  
file_path: tensor2tensor/tensor2tensor/models/basic.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.layers import common_hparams
  from tensor2tensor.layers import common_layers
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import t2t_model
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling a global function with example usage: basic_fc_small() and returns: hparams