SayaSS / vits-finetuning

Fine-Tuning your VITS model using a pre-trained model
MIT License
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why vits raised grad warn? #35

Open YooSungHyun opened 1 year ago

YooSungHyun commented 1 year ago

UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance. grad.sizes() = [1, 9, 98], strides() = [29498, 98, 1] bucket_view.sizes() = [1, 9, 98], strides() = [882, 98, 1] (Triggered internally at ../torch/csrc/distributed/c10d/reducer.cpp:325.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass

is this normal? how fix it?