RVC-Project / RVC-Project/Retrieval-based-Voice-Conversion-WebUI
RuntimeError: The expanded size of the tensor (17280) must match the existing size (16080) at non-singleton dimension 1.
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Description
训练过程报错并中断：
Traceback (most recent call last):
File "multiprocessing\process.py", line 315, in _bootstrap
File "multiprocessing\process.py", line 108, in run
File "E:\BaiduNetdiskDownload\RVC0813Nvidia\train_nsf_sim_cache_sid_load_pretrain.py", line 228, in run
train_and_evaluate(
File "E:\BaiduNetdiskDownload\RVC0813Nvidia\train_nsf_sim_cache_sid_load_pretrain.py", line 430, in train_and_evaluate
wave = commons.slice_segments(
File "E:\BaiduNetdiskDownload\RVC0813Nvidia\lib\infer_pack\commons.py", line 49, in slice_segments
ret[i] = x[i, :, idx_str:idx_end]
RuntimeError: The expanded size of the tensor (17280) must match the existing size (16080) at non-singleton dimension 1. Target sizes: [1, 17280]. Tensor sizes: [16080]
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Research direction
Start with train_nsf_sim_cache_sid_load_pretrain.py at run and train_and_evaluate, then inspect lib/infer_pack/commons.py at slice_segments and reproduce the reported training failure. Determine why the slice produces different lengths, document the cause, and verify that the training path completes without this tensor-size error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100