Comments (2)
Hi! Thanks for your report!
Our default training recipe is tailored for a RTX4090 GPU with 24G GPU memory, if your GPU memory is smaller than that, you need to use a smaller batch size like 16.
GPU memory increase at the end of some batch is not a BUG, to validate the training process, we will inference some long audio samples during the training for human listening, which will take larger GPU memory in some specific epoches.
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Got you, thanks for commenting on this issue. I've reduced batchsize even more and now it's not falling during training.
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