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Hello! I've found a performance issue in src/eval.py: with tf.Session(config=tf.ConfigProto(allow_soft_placement=True)) as sess:(line 52) is defined in the function eval_once(line 48) which is repeatedly called in a loop while True:(line 214).
tf.Session being defined repeatedly could lead to incremental overhead. If you define tf.Session out of the loop and pass tf.Session as a parameter to the loop, your program would be much more efficient.
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've found a performance issue in src/eval.py:
with tf.Session(config=tf.ConfigProto(allow_soft_placement=True)) as sess:
(line 52) is defined in the functioneval_once
(line 48) which is repeatedly called in a loopwhile True:
(line 214).tf.Session
being defined repeatedly could lead to incremental overhead. If you definetf.Session
out of the loop and passtf.Session
as a parameter to the loop, your program would be much more efficient.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: