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Hello, I found a performance issue in the definition of _sliced_wasserstein, tensorflow_gan/python/eval/sliced_wasserstein.py, tf.shape(input=a)[1] will calculated repeatedly during the program execution, resulting in reduced efficiency. I think it should be created before the loop in the _sliced_wasserstein.
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
_sliced_wasserstein
, tensorflow_gan/python/eval/sliced_wasserstein.py,tf.shape(input=a)[1]
will calculated repeatedly during the program execution, resulting in reduced efficiency. I think it should be created before the loop in the_sliced_wasserstein
.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: