Create custom_objects.py

custom_objects.py

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+from tensorflow.keras.saving import register_keras_serializable
+from tensorflow.keras import layers, models, backend as K
+import tensorflow as tf
+
+@register_keras_serializable()
+def drainage_penalty(inputs):
+    dd = inputs[:, 2]
+    return (1.0 - 0.4 * tf.sigmoid((dd - 3.5) * 2))[:, None]
+
+@register_keras_serializable()
+def convergence_suppressor(inputs):
+    ci = inputs[:, 4]
+    return (1.0 + 0.3 * tf.sigmoid((ci - 0.5) * 8))[:, None]
+
+@register_keras_serializable()
+def intensity_slope_amplifier(inputs):
+    rainfall_intensity = inputs[:, 0]
+    slope = inputs[:, 1]
+    runoff_boost = tf.sigmoid((rainfall_intensity - 75) * 0.08)
+    slope_boost = tf.sigmoid((slope - 10) * 0.05)
+    return (1.0 + 0.35 * runoff_boost * slope_boost)[:, None]
+
+def clip_modulation(x):
+    return tf.clip_by_value(x, 0.7, 1.3)
+
+CUSTOM_OBJECTS = {
+    'drainage_penalty': drainage_penalty,
+    'intensity_slope_amplifier': intensity_slope_amplifier,
+    'convergence_suppressor': convergence_suppressor,
+    'clip_modulation': clip_modulation
+}