text: 
  """
  Note: After we have the tf-serving image running, we don't actually need following script.
  pred_config.py
  
  List some configuration parameters for prediction
  """
  import os
  from os import path as op
  
  preds_dir = op.join(os.getcwd(), "preds")
  plot_dir = op.join(os.getcwd(), "plots")
  ckpt_dir = op.join(os.getcwd(), "models")
  
  
  # Params to run inference on some tiles in S3
  pred_params = dict(model_time='0813_192409', #201910_L5.39
                     single_batch_size=16,  # Number of images seen by a single GPU
                     n_gpus=1,
                     deci_prec=2)  # Number of decimal places in prediction precision
  pred_params.update(dict(model_arch_fname=f'{pred_params["model_time"]}_arch.yaml',
                          model_params_fname=f'{pred_params["model_time"]}_params.yaml',
                          model_weights_fname=f'{pred_params["model_time"]}_L1.20_E13_weights.h5'))
  