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Hi, many thanks for converting the tensorflow implementation of DCRNN to pytorch, it helped me a lot.
I noticed that when resuming a model, the learning-rate scheduling is being reset. Any idea why this happens? I uploaded a picture of a test case below.
If you need any further details, let me know.
The text was updated successfully, but these errors were encountered:
Hi, many thanks for converting the tensorflow implementation of DCRNN to pytorch, it helped me a lot.
I noticed that when resuming a model, the learning-rate scheduling is being reset. Any idea why this happens? I uploaded a picture of a test case below.
If you need any further details, let me know.
The text was updated successfully, but these errors were encountered: