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Hello, I found a performance issue in the definition of __main__, examples/circular_ode_demo.py, tf.reduce_mean(tf.abs(pred_y - true_y)) will be calculated repeatedly during program execution, resulting in reduced efficiency. I think pred_y in line 185 and loss should be created before the loop.
Looking forward to your reply. Btw, I am very glad to create a PR to fix it if you are too busy.
The text was updated successfully, but these errors were encountered:
Hello, I found a performance issue in the definition of
__main__
, examples/circular_ode_demo.py,tf.reduce_mean(tf.abs(pred_y - true_y))
will be calculated repeatedly during program execution, resulting in reduced efficiency. I thinkpred_y
in line 185 andloss
should be created before the loop.Looking forward to your reply. Btw, I am very glad to create a PR to fix it if you are too busy.
The text was updated successfully, but these errors were encountered: