Comments (1)
JohnHerry
commented on June 10, 2024
I was scratching my head why training was always crashing with multiple errors like this:
../aten/src/ATen/native/cuda/Indexing.cu:1237: indexSelectSmallIndex: block: [1,0,0], thread: [96,0,0] Assertion
srcIndex < srcSelectDimSizefailed. ../aten/src/ATen/native/cuda/Indexing.cu:1237: indexSelectSmallIndex: block: [1,0,0], thread: [97,0,0] AssertionsrcIndex < srcSelectDimSizefailed.Looks like, itś because my custom VCTK-like dataset doesn´t have speaker ID numbering from 0 to N, rather I take VCTK speaker ids (like "374", etc). Why is speaker ID ordering/naming is so strict?
what is your config value of 'n_speakers' in config.json? I think it will be not so strict as if you have your 'n_speaker' value big enough to contain the largest value of your VCTK speaker ids.
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