fword
commented
7 months ago Process 0 terminated with the following error: Traceback (most recent call last): File "/root/miniconda3/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 69, in _wrap fn(i, args) File "/root/Bert-VITS2-Integration-Package/train_ms.py", line 193, in run train_and_evaluate(rank, epoch, hps, [net_g, net_d, net_dur_disc], [optim_g, optim_d, optim_dur_disc], [scheduler_g, scheduler_d, scheduler_dur_disc], scaler, [train_loader, eval_loader], logger, [writer, writer_eval]) File "/root/Bert-VITS2-Integration-Package/train_ms.py", line 231, in train_and_evaluate (z, z_p, m_p, logs_p, m_q, logs_q), (hiddenx, logw, logw) = net_g(x, x_lengths, spec, spec_lengths, speakers, tone, language, bert) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(args, kwargs) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/parallel/distributed.py", line 1156, in forward output = self._run_ddp_forward(*inputs, *kwargs) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/parallel/distributed.py", line 1110, in _run_ddp_forward return module_to_run(inputs[0], kwargs[0]) # type: ignore[index] File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, **kwargs) File "/root/Bert-VITS2-Integration-Package/models.py", line 680, in forward z_slice, ids_slice = commons.rand_slice_segments(z, y_lengths, self.segment_size) File "/root/Bert-VITS2-Integration-Package/commons.py", line 63, in rand_slice_segments ret = slice_segments(x, ids_str, segment_size) File "/root/Bert-VITS2-Integration-Package/commons.py", line 53, in slice_segments ret[i] = x[i, :, idx_str:idx_end] RuntimeError: The expanded size of the tensor (32) must match the existing size (0) at non-singleton dimension 1. Target sizes: [192, 32]. Tensor sizes: [192, 0]
littlecutenainia
BangjianZhou
MarkPoloChina
File "/root/Bert-VITS2-Integration-Package/train_ms.py", line 193, in run train_and_evaluate(rank, epoch, hps, [net_g, net_d, net_dur_disc], [optim_g, optim_d, optim_dur_disc], [scheduler_g, scheduler_d, scheduler_dur_disc], scaler, [train_loader, eval_loader], logger, [writer, writer_eval]) File "/root/Bert-VITS2-Integration-Package/train_ms.py", line 329, in train_and_evaluate evaluate(hps, net_g, eval_loader, writer_eval) File "/root/Bert-VITS2-Integration-Package/train_ms.py", line 363, in evaluate yhat, attn, mask, * = generator.module.infer(x, x_lengths, speakers, tone, language, bert, y=spec, max_len=1000, sdp_ratio=0.0 if not use_sdp else 1.0) File "/root/Bert-VITS2-Integration-Package/models.py", line 692, in infer logw = self.sdp(x, x_mask, g=g, reverse=True, noise_scale=noise_scale_w) (sdp_ratio) + self.dp(x, x_mask, g=g) (1 - sdp_ratio) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, *kwargs) File "/root/Bert-VITS2-Integration-Package/models.py", line 199, in forward z = flow(z, x_mask, g=x, reverse=reverse) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(args, **kwargs) File "/root/Bert-VITS2-Integration-Package/modules.py", line 374, in forward x1, logabsdet = piecewise_rational_quadratic_transform(x1, File "/root/Bert-VITS2-Integration-Package/transforms.py", line 33, in piecewise_rational_quadratic_transform outputs, logabsdet = spline_fn( File "/root/Bert-VITS2-Integration-Package/transforms.py", line 82, in unconstrained_rational_quadratic_spline outputs[inside_interval_mask], logabsdet[inside_interval_mask] = rational_quadratic_spline( File "/root/Bert-VITS2-Integration-Package/transforms.py", line 164, in rational_quadratic_spline assert (discriminant >= 0).all() AssertionError