From fcaac4c2ed17ccf1cab0c9fdaf77e3dbab3730b5 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Sat, 3 Feb 2024 15:51:17 -0600
Subject: [PATCH] snapshot...

---
 modules/deeplearning/icing_fcn.py | 17 ++++-------------
 1 file changed, 4 insertions(+), 13 deletions(-)

diff --git a/modules/deeplearning/icing_fcn.py b/modules/deeplearning/icing_fcn.py
index a5cf59a7..3af21543 100644
--- a/modules/deeplearning/icing_fcn.py
+++ b/modules/deeplearning/icing_fcn.py
@@ -62,17 +62,21 @@ mean_std_dct.update(mean_std_dct_l2)
 # --  NIGHT L2 -----------------------------
 train_params_l2_night = ['cld_height_acha', 'cld_geo_thick', 'cld_temp_acha', 'cld_press_acha', 'supercooled_cloud_fraction',
                          'cld_emiss_acha', 'conv_cloud_fraction', 'cld_reff_acha', 'cld_opd_acha']
+# train_params_l2_night = ['cld_temp_acha', 'supercooled_cloud_fraction', 'cld_emiss_acha', 'cld_reff_acha', 'cld_opd_acha']
 # -- DAY L2 --------------------------------
 train_params_l2_day = ['cld_height_acha', 'cld_geo_thick', 'cld_temp_acha', 'cld_press_acha', 'supercooled_cloud_fraction',
                        'cld_emiss_acha', 'conv_cloud_fraction', 'cld_reff_dcomp', 'cld_opd_dcomp', 'iwc_dcomp', 'lwc_dcomp']
 #                       'cld_reff_dcomp_1', 'cld_opd_dcomp_1', 'cld_reff_dcomp_2', 'cld_opd_dcomp_2', 'cld_reff_dcomp_3', 'cld_opd_dcomp_3']
+# train_params_l2_day = ['cld_temp_acha', 'supercooled_cloud_fraction', 'cld_reff_dcomp', 'cld_opd_dcomp', 'iwc_dcomp', 'lwc_dcomp']
 # -- DAY L1B --------------------------------
 train_params_l1b_day = ['temp_10_4um_nom', 'temp_11_0um_nom', 'temp_12_0um_nom', 'temp_13_3um_nom', 'temp_3_75um_nom',
                         'temp_6_2um_nom', 'temp_6_7um_nom', 'temp_7_3um_nom', 'temp_8_5um_nom', 'temp_9_7um_nom',
                         'refl_0_47um_nom', 'refl_0_65um_nom', 'refl_0_86um_nom', 'refl_1_38um_nom', 'refl_1_60um_nom']
+# train_params_l1b_day = ['refl_1_38um_nom', 'refl_1_60um_nom', 'temp_8_5um_nom', 'temp_11_0um_nom']
 # -- NIGHT L1B -------------------------------
 train_params_l1b_night = ['temp_10_4um_nom', 'temp_11_0um_nom', 'temp_12_0um_nom', 'temp_13_3um_nom', 'temp_3_75um_nom',
                           'temp_6_2um_nom', 'temp_6_7um_nom', 'temp_7_3um_nom', 'temp_8_5um_nom', 'temp_9_7um_nom']
+# train_params_l1b_night = ['temp_8_5um_nom', 'temp_11_0um_nom']
 # -- DAY LUNAR ---------------------------------
 # train_params_l1b = ['cld_height_acha', 'cld_geo_thick', 'cld_temp_acha', 'cld_press_acha', 'supercooled_cloud_fraction',
 #                     'cld_emiss_acha', 'conv_cloud_fraction', 'cld_reff_dcomp', 'cld_opd_dcomp', 'iwc_dcomp', 'lwc_dcomp']
@@ -275,19 +279,6 @@ class IcingIntensityFCN:
 
         self.ema_trainable_variables = None
 
-        # Doesn't seem to play well with SLURM
-        # gpus = tf.config.experimental.list_physical_devices('GPU')
-        # if gpus:
-        #     try:
-        #         # Currently, memory growth needs to be the same across GPUs
-        #         for gpu in gpus:
-        #             tf.config.experimental.set_memory_growth(gpu, True)
-        #         logical_gpus = tf.config.experimental.list_logical_devices('GPU')
-        #         print(len(gpus), "Physical GPUs,", len(logical_gpus), "Logical GPUs")
-        #     except RuntimeError as e:
-        #         # Memory growth must be set before GPUs have been initialized
-        #         print(e)
-
     def get_in_mem_data_batch(self, idxs, is_training):
 
         # sort these to use as numpy indexing arrays
-- 
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