From 369d40ae1c42837125a663d2fab32ec8c91c79b3 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Thu, 3 Nov 2022 15:20:50 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/cnn_cld_frac.py | 7 +++----
1 file changed, 3 insertions(+), 4 deletions(-)
diff --git a/modules/deeplearning/cnn_cld_frac.py b/modules/deeplearning/cnn_cld_frac.py
index fc1b5627..3d98de98 100644
--- a/modules/deeplearning/cnn_cld_frac.py
+++ b/modules/deeplearning/cnn_cld_frac.py
@@ -458,14 +458,13 @@ class CNN:
if NOISE_TRAINING:
conv = conv_b = tf.keras.layers.GaussianNoise(stddev=NOISE_STDDEV)(conv)
- conv_b = build_residual_block_1x1(conv_b, num_filters, activation, 'Residual_Block_1')
+ conv = build_residual_block_1x1(conv, num_filters, activation, 'Residual_Block_1')
- conv_b = build_residual_block_1x1(conv_b, num_filters, activation, 'Residual_Block_2')
+ conv = build_residual_block_1x1(conv, num_filters, activation, 'Residual_Block_2')
- conv_b = build_residual_block_1x1(conv_b, num_filters, activation, 'Residual_Block_3')
+ conv = build_residual_block_1x1(conv, num_filters, activation, 'Residual_Block_3')
# conv = conv + conv_b
- conv = conv_b
print(conv.shape)
self.logits = tf.keras.layers.Conv2D(NumLogits, kernel_size=1, strides=1, padding=padding, name='regression')(conv)
--
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