From 924ec12a1f96c8c0f11e1337461065578a2652b0 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Mon, 30 Oct 2023 14:08:12 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/icing_fcn.py | 10 +++++-----
1 file changed, 5 insertions(+), 5 deletions(-)
diff --git a/modules/deeplearning/icing_fcn.py b/modules/deeplearning/icing_fcn.py
index d1d9d3f2..68ff1476 100644
--- a/modules/deeplearning/icing_fcn.py
+++ b/modules/deeplearning/icing_fcn.py
@@ -1017,12 +1017,12 @@ class IcingIntensityFCN:
cnn = self.build_cnn()
print(cnn.shape, self.inputs[1].shape)
if self.USE_FLIGHT_ALTITUDE:
- # cnn = tf.keras.layers.concatenate([cnn, self.inputs[1]])
+ cnn = tf.keras.layers.concatenate([cnn, self.inputs[1]])
# -- experimental
- cnn_shape = cnn.shape
- falt = tf.zeros((cnn_shape[0], cnn_shape[1] // 16, cnn_shape[2] // 16, 5))
- falt[:, :, :, :] = self.inputs[1][:, 0, 0, :]
- cnn = tf.keras.layers.concatenate([cnn, falt])
+ # cnn_shape = cnn.shape
+ # falt = tf.zeros((cnn_shape[0], cnn_shape[1] // 16, cnn_shape[2] // 16, 5))
+ # falt[:, :, :, :] = self.inputs[1][:, 0, 0, :]
+ # cnn = tf.keras.layers.concatenate([cnn, falt])
# ------------------------------------------------------------
self.build_fcl(cnn)
self.model = tf.keras.Model(self.inputs, self.logits)
--
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