Add compiling packnet model, refactor modules to not duplicate loaders and trainers

util.py

@@ -5,9 +5,9 @@ import tensorflow.keras as keras
 def crop_and_resize(x, out_shape=(224, 224)):
     shape = tf.shape(x['depth'])
     img_shape = tf.shape(x['image'])
-    # Ensure we get a square for when we resize is later.
+    # Ensure we get a square for when we resize it later.
     # For horizontal images this is basically just cropping the sides off
-    center_shape = min(shape[1], shape[2], img_shape[1], img_shape[2])
+    center_shape = tf.minimum(shape[1], tf.minimum(shape[2], tf.minimum(img_shape[1], img_shape[2])))
 
     def layer():
         return keras.Sequential([