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In generate.py, it seems that for every input, the generate() function will create a new session and do session.run():
parallel-wavenet-vocoder/generate.py
Line 50 in 6c2fa06
| with tf.Session(config=session_config) as sess: |
I'm just wondering, will this approach incur session creation overhead every time? Why not create a session once and re-use the session as most of the other models do?
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