From 66f8fe22f0fd3ac0421dd00b49dafeb27294a26a Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Sun, 5 Mar 2023 13:04:22 -0600
Subject: [PATCH] snapshot...
---
modules/deeplearning/cnn_cld_frac_mod_res.py | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/modules/deeplearning/cnn_cld_frac_mod_res.py b/modules/deeplearning/cnn_cld_frac_mod_res.py
index c754bbba..5e84bc80 100644
--- a/modules/deeplearning/cnn_cld_frac_mod_res.py
+++ b/modules/deeplearning/cnn_cld_frac_mod_res.py
@@ -184,8 +184,9 @@ def get_min_max_std(grd_k):
lo = np.nanmin([a, b, c, d], axis=0)
hi = np.nanmax([a, b, c, d], axis=0)
std = np.nanstd([a, b, c, d], axis=0)
+ avg = np.nanmean([a, b, c, d], axis=0)
- return lo, hi, std
+ return lo, hi, std, mean
def get_label_data(grd_k):
@@ -605,7 +606,6 @@ class SRCNN:
# @tf.function(input_signature=[tf.TensorSpec(None, tf.float32), tf.TensorSpec(None, tf.float32)])
# decorator commented out because pred.numpy(): pred not evaluated yet.
def predict(self, inputs, labels):
- labels = tf.squeeze(labels)
pred = self.model([inputs], training=False)
t_loss = self.loss(tf.squeeze(labels), pred)
--
GitLab