Use dde.grad

lululxvi · lululxvi · commit f60354488ea4 · 2020-11-03T19:02:34.000-05:00
diff --git a/examples/Euler_beam.py b/examples/Euler_beam.py
@@ -10,8 +10,7 @@
 
 def main():
     def ddy(x, y):
-        dy_x = tf.gradients(y, x)[0]
-        return tf.gradients(dy_x, x)[0]
+        return dde.grad.hessian(y, x)
 
     def dddy(x, y):
         return tf.gradients(ddy(x, y), x)[0]
