snapshot...

modules/deeplearning/cloud_fraction_fcn_abi_hkm_refl.py

@@ -531,9 +531,10 @@ class SRCNN:
         print(conv_hkm.shape)
 
         conv_hkm = build_conv2d_block(conv_hkm, num_filters, activation, 'Conv2D_1')
-        conv_hkm = build_conv2d_block(conv_hkm, num_filters, activation, 'Conv2D_1')
+        conv_hkm = build_conv2d_block(conv_hkm, num_filters, activation, 'Conv2D_2')
 
         conv_b = conv_b + conv_hkm
+        print(conv_b.shape)
 
         # if NOISE_TRAINING:
         #     conv = conv_b = tf.keras.layers.GaussianNoise(stddev=NOISE_STDDEV)(conv)