From ca2cc3c56f7a17471dbd0a52394c931c9612b5b0 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 13 Apr 2022 13:47:38 -0500
Subject: [PATCH] remove dead code
---
modules/deeplearning/icing_fcn.py | 39 -------------------------------
1 file changed, 39 deletions(-)
diff --git a/modules/deeplearning/icing_fcn.py b/modules/deeplearning/icing_fcn.py
index 1b268c36..fd247611 100644
--- a/modules/deeplearning/icing_fcn.py
+++ b/modules/deeplearning/icing_fcn.py
@@ -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
-# 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,
flight_levels=[0, 1, 2, 3, 4], use_flight_altitude=False):
--
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