Conda install Diffsinger Error Data

[usasho]

Sanity Checking: 0it [00:00, ?it/s]Traceback (most recent call last): File "scripts/train.py", line 31, in run_task() File "scripts/train.py", line 27, in run_task task_cls.start() File "E:\scss\diff\basics\base_task.py", line 442, in start trainer.fit(task, ckpt_path=get_latest_checkpoint_path(work_dir)) File "E:\hange\envs\scss\lib\site-packages\lightning\pytorch\trainer\trainer.py", line 529, in fit call._call_and_handle_interrupt( File "E:\hange\envs\scss\lib\site-packages\lightning\pytorch\trainer\call.py", line 42, in _call_and_handle_interrupt return trainer_fn(*args, *kwargs) File "E:\hange\envs\scss\lib\site-packages\lightning\pytorch\trainer\trainer.py", line 568, in _fit_impl self._run(model, ckpt_path=ckpt_path) File "E:\hange\envs\scss\lib\site-packages\lightning\pytorch\trainer\trainer.py", line 973, in _run results = self._run_stage() File "E:\hange\envs\scss\lib\site-packages\lightning\pytorch\trainer\trainer.py", line 1014, in _run_stage self._run_sanity_check() File "E:\hange\envs\scss\lib\site-packages\lightning\pytorch\trainer\trainer.py", line 1043, in _run_sanity_check val_loop.run() File "E:\hange\envs\scss\lib\site-packages\lightning\pytorch\loops\utilities.py", line 177, in _decorator return loop_run(self, args, **kwargs) File "E:\hange\envs\scss\lib\site-packages\lightning\pytorch\loops\evaluation_loop.py", line 108, in run batch, batch_idx, dataloader_idx = next(data_fetcher) File "E:\hange\envs\scss\lib\site-packages\lightning\pytorch\loops\fetchers.py", line 136, in next self._fetch_next_batch(self.dataloader_iter) File "E:\hange\envs\scss\lib\site-packages\lightning\pytorch\loops\fetchers.py", line 150, in _fetch_next_batch batch = next(iterator) File "E:\hange\envs\scss\lib\site-packages\lightning\pytorch\utilities\combined_loader.py", line 284, in next out = next(self._iterator) File "E:\hange\envs\scss\lib\site-packages\lightning\pytorch\utilities\combined_loader.py", line 123, in next out = next(self.iterators[0]) File "E:\hange\envs\scss\lib\site-packages\torch\utils\data\dataloader.py", line 628, in next data = self._next_data() File "E:\hange\envs\scss\lib\site-packages\torch\utils\data\dataloader.py", line 1333, in _next_data return self._process_data(data) File "E:\hange\envs\scss\lib\site-packages\torch\utils\data\dataloader.py", line 1359, in _process_data data.reraise() File "E:\hange\envs\scss\lib\site-packages\torch_utils.py", line 543, in reraise raise exception KeyError: Caught KeyError in DataLoader worker process 0. Original Traceback (most recent call last): File "E:\hange\envs\scss\lib\site-packages\torch\utils\data_utils\worker.py", line 302, in _worker_loop data = fetcher.fetch(index) File "E:\hange\envs\scss\lib\site-packages\torch\utils\data_utils\fetch.py", line 61, in fetch return self.collate_fn(data) File "E:\scss\diff\training\variance_task.py", line 48, in collater batch['uv'] = utils.collate_nd([s['uv'] for s in samples], True) File "E:\scss\diff\training\variance_task.py", line 48, in batch['uv'] = utils.collate_nd([s['uv'] for s in samples], True) KeyError: 'uv'

[yqzhishen]

If you are training a pitch predictor, please re-binarize your dataset because the RPA introduced in #123 needs the new attribute uv for computing.

[usasho]

Thanks