import tensorflow as tf

tf.app.flags.DEFINE_float('ws_lrn_rate_ft', 3e-4, 'WS: learning rate for global fine-tuning')
tf.app.flags.DEFINE_integer('ws_nb_iters_ft', 400, 'WS: # of iterations for global fine-tuning')
tf.app.flags.DEFINE_integer('ws_nb_iters_feval', 25, 'WS: # of iterations for fast evaluation')
tf.app.flags.DEFINE_float('ws_prune_ratio_exp', 3.0, 'WS: pruning ratio\'s exponent term')
