From b6596e8afe80e457ce13ab8323a3869e35cf5f22 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Wed, 3 Apr 2024 11:17:38 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/icing_dnn.py | 10 +---------
1 file changed, 1 insertion(+), 9 deletions(-)
diff --git a/modules/deeplearning/icing_dnn.py b/modules/deeplearning/icing_dnn.py
index ae02f0d8..d3c3c86e 100644
--- a/modules/deeplearning/icing_dnn.py
+++ b/modules/deeplearning/icing_dnn.py
@@ -361,7 +361,7 @@ class IcingIntensityDNN:
dataset = dataset.batch(PROC_BATCH_SIZE)
dataset = dataset.map(self.data_function, num_parallel_calls=8)
dataset = dataset.cache()
- dataset = dataset.shuffle(PROC_BATCH_BUFFER_SIZE, reshuffle_each_iteration=True)
+ dataset = dataset.shuffle(1, reshuffle_each_iteration=True)
dataset = dataset.prefetch(buffer_size=1)
self.train_dataset = dataset
@@ -862,14 +862,6 @@ class IcingIntensityDNN:
if self.h5f_l2_tst is not None:
self.h5f_l2_tst.close()
- # def run_evaluate(self, filename, ckpt_dir):
- # data_dct, ll, cc = make_for_full_domain_predict(filename, name_list=self.train_params)
- # self.setup_eval_pipeline(data_dct, len(ll))
- # self.build_model()
- # self.build_training()
- # self.build_evaluation()
- # self.do_evaluate(ckpt_dir)
-
def run_restore_static(filename_l1b, filename_l2, ckpt_dir_s_path, day_night='DAY', l1b_or_l2='both',
use_flight_altitude=False, out_file=None):
--
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