text: from __future__ import division
  import time
  
  import click
  import numpy as np
  
  import nn
  import data
  import tta
  import util
  
  cnf='configs/c_512_5x5_32.py'
  config = util.load_module(cnf).config
  config.cnf['batch_size_train'] = 128
  
  runs = {}
  runs['train'] = config.get('train_dir')
  
  net = nn.create_net(config)
  
  weights_from = 'weights/c_512_5x5_32/weights_final.pkl'
  net.load_params_from(weights_from)
  
  tf, color_vecs = tta.build_quasirandom_transforms(1, skip=0, color_sigma=0.0, **data.no_augmentation_params)
  for i, (tf, color_vec) in enumerate(zip(tfs, color_vecs), start=1):
      pass
  
  
  
  