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Hello, thanks a lot for you amazing work and for publishing the code!
I was trying to run the ex_esc50.py with wavmix=True but got the error:
ex_esc50.py
wavmix=True
RuntimeError: "nll_loss_forward_no_reduce_cuda_kernel_index" not implemented for 'Double'
since when using wavmix the ground truth is not an integer anymore.
Would it not be more appropriate to use the KL-divergence as loss function instead of the crossentropy?
The text was updated successfully, but these errors were encountered:
Hi, Thank you! yes you can use loss functions that accept vectors instead of integers, Here is CE implementation.
For this to work you need to convert the targets from an integer to onehot vector here
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Hello, thanks a lot for you amazing work and for publishing the code!
I was trying to run the
ex_esc50.py
withwavmix=True
but got the error:since when using wavmix the ground truth is not an integer anymore.
Would it not be more appropriate to use the KL-divergence as loss function instead of the crossentropy?
The text was updated successfully, but these errors were encountered: