forwiat

also, in line 182, fastspeech.py. ``` def _forward( self, xs: torch.Tensor, ilens: torch.Tensor, ys: torch.Tensor = None, olens: torch.Tensor = None, ds: torch.Tensor = None, es: torch.Tensor = None, ps:...

Ok, I will try it. Thanks a lot

> Hi everyone, > > So my corpus are bunch of .textgrid files and .wav files. Sampling rates are correct (44k), but when I run this on Windows 10: >...

> Hi everyone, > > So my corpus are bunch of .textgrid files and .wav files. Sampling rates are correct (44k), but when I run this on Windows 10: >...

The same problem. Did you solved it ?

> I try it, but it does not work. I think maybe the `INFER_ATTRIBUTE_TARGET("avx2")` and `INFER_ATTRIBUTE_TARGET("avx")` function result the duplicate definition，comment one of them there is no error when compile....

> if it is not necessary， you can comment it， and build. I have fixed it with the macro of (**AVX2**) and (**AVX**)， dose not work in your machine？ does...

I solve this problem, by comment AVX function. thanks @chenqy4933

ERROR info: File "vector_quantize_pytorch/vector_quantize_pytorch.py", line 529, in forward self.expire_codes_(x) File "vector_quantize_pytorch/vector_quantize_pytorch.py", line 458, in expire_codes_ self.replace(batch_samples, batch_mask = expired_codes) File "vector_quantize_pytorch/vector_quantize_pytorch.py", line 444, in replace self.embed.data[ind][mask] = sampled RuntimeError: shape...

I try in many versions, such as 1.14.43, 1.15.x, 1.18.x ... thx for the solution! I will try it again!