code: def gene_expression_conv_test():
      hparams = gene_expression.gene_expression_conv_base()
      hparams.hidden_size = 8
      hparams.num_dconv_layers = 2
      return hparams
  
file_path: tensor2tensor/tensor2tensor/models/research/gene_expression_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensor2tensor.data_generators import gene_expression
  from tensor2tensor.layers import modalities
  from tensor2tensor.models.research import gene_expression
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 1 for calling a global function with example usage: gene_expression_conv_test() and returns: hparams