RuntimeError: mat1 and mat2 must have the same dtype
-- Process 0 terminated with the following error: Traceback (most recent call last): File "D:\Downloads\RVC\RVC-beta\runtime\lib\site-packages\torch\multiprocessing\spawn.py", line 69, in _wrap fn(i, *args) File "D:\Downloads\RVC\RVC-beta\train_nsf_sim_cache_sid_load_pretrain.py", line 189, in run train_and_evaluate( File "D:\Downloads\RVC\RVC-beta\train_nsf_sim_cache_sid_load_pretrain.py", line 357, in train_and_evaluate ) = net_g(phone, phone_lengths, pitch, pitchf, spec, spec_lengths, sid) File "D:\Downloads\RVC\RVC-beta\runtime\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "D:\Downloads\RVC\RVC-beta\runtime\lib\site-packages\torch\nn\parallel\distributed.py", line 1156, in forward output = self._run_ddp_forward(*inputs, **kwargs) File "D:\Downloads\RVC\RVC-beta\runtime\lib\site-packages\torch\nn\parallel\distributed.py", line 1113, in _run_ddp_forward return module_to_run(*inputs, **kwargs) File "D:\Downloads\RVC\RVC-beta\runtime\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "D:\Downloads\RVC\RVC-beta\infer_pack\models.py", line 629, in forward o = self.dec(z_slice, pitchf, g=g) File "D:\Downloads\RVC\RVC-beta\runtime\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "D:\Downloads\RVC\RVC-beta\infer_pack\models.py", line 493, in forward har_source, noi_source, uv = self.m_source(f0, self.upp) File "D:\Downloads\RVC\RVC-beta\runtime\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "D:\Downloads\RVC\RVC-beta\infer_pack\models.py", line 416, in forward sine_merge = self.l_tanh(self.l_linear(sine_wavs)) File "D:\Downloads\RVC\RVC-beta\runtime\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "D:\Downloads\RVC\RVC-beta\runtime\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward return F.linear(input, self.weight, self.bias) RuntimeError: mat1 and mat2 must have the same dtype