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Commit ca2cc3c5 authored by tomrink's avatar tomrink
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remove dead code

parent 2606f4b7
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...@@ -1063,45 +1063,6 @@ def run_evaluate_static_avg(data_dct, ll, cc, ckpt_dir_s_path, day_night='DAY', ...@@ -1063,45 +1063,6 @@ def run_evaluate_static_avg(data_dct, ll, cc, ckpt_dir_s_path, day_night='DAY',
return ice_lons, ice_lats, preds_2d return ice_lons, ice_lats, preds_2d
# def run_evaluate_static_fcn(data_dct, ckpt_dir_s_path, day_night='DAY', l1b_or_l2='both', prob_thresh=0.5,
# flight_levels=[0, 1, 2, 3, 4], use_flight_altitude=False):
#
# ckpt_dir_s = os.listdir(ckpt_dir_s_path)
# ckpt_dir = ckpt_dir_s_path + ckpt_dir_s[0]
#
# if not use_flight_altitude:
# flight_levels = [0]
#
# probs_dct = {flvl: None for flvl in flight_levels}
# preds_dct = {flvl: None for flvl in flight_levels}
#
# nn = IcingIntensityFCN(day_night=day_night, l1b_or_l2=l1b_or_l2, use_flight_altitude=use_flight_altitude)
# nn.num_data_samples = 1
# nn.build_model()
# nn.build_training()
# nn.build_evaluation()
#
# ckpt = tf.train.Checkpoint(step=tf.Variable(1), model=nn.model)
# ckpt_manager = tf.train.CheckpointManager(ckpt, ckpt_dir, max_to_keep=3)
# ckpt.restore(ckpt_manager.latest_checkpoint)
#
# for flvl in flight_levels:
# nn.flight_level = flvl
# nn.setup_eval_pipeline(data_dct)
# nn.do_evaluate(ckpt_dir)
#
# probs = nn.test_probs
# if NumClasses == 2:
# preds = np.where(probs > prob_thresh, 1, 0)
# else:
# preds = np.argmax(probs, axis=1)
#
# probs_dct[flvl] = probs
# preds_dct[flvl] = preds
#
# return preds_dct, probs_dct
def run_evaluate_static_fcn(data_dct, num_tiles, ckpt_dir_s_path, day_night='DAY', l1b_or_l2='both', prob_thresh=0.5, def run_evaluate_static_fcn(data_dct, num_tiles, ckpt_dir_s_path, day_night='DAY', l1b_or_l2='both', prob_thresh=0.5,
flight_levels=[0, 1, 2, 3, 4], use_flight_altitude=False): flight_levels=[0, 1, 2, 3, 4], use_flight_altitude=False):
......
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