我在使用Anaconda虚拟环境的pytorch的GPU版训练yolo遇到一个奇怪的错误:raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str)) from e RuntimeError: DataLoader worker (pid(s) 6600, 17608, 23168) exited unexpectedly 按照网上的教程说If --main--==“--main--”的...
File "D:\Anaconda\envs\gpu-env\lib\site-packages\torch\utils\data\dataloader.py", line 737, in _try_get_data raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str)) RuntimeError: DataLoader worker (pid(s) 17260) exited unexpectedly Process finished with ...
success, data = self._try_get_data()File"E:\Python38\lib\site-packages\torch\utils\data\dataloader.py",line774,in_try_get_data raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str)) RuntimeError: DataLoader worker (pid(s) 16596, 9376, 12756, 9844) ...
-> [1024](file:///c%3A/Users/wanghc/anaconda3/envs/mmcv-38/lib/site-packages/torch/utils/data/dataloader.py?line=1023) raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str)) from e [1025](file:///c%3A/Users/wanghc/anaconda3/envs/mmcv-38/lib/...
在使用 pytorch dataloader 时，出现了当把num_workers 设置不为0即报错的问题，本文记录两种此类错误的...
format(pids_str)) from e RuntimeError: DataLoader worker (pid(s) 3954) exited unexpectedly python-3.x 共1条答案 1#eaf3rand 2023-03-09 BackTranslationAug.augment函数需要一个字符串列表作为输入。请尝试以下操作: from nlpaug.augmenter.word import BackTranslationAug text = ['The quick brown ...
raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str)) from e RuntimeError: DataLoader worker (pid(s) 1817) exited unexpectedly ShirleySyh commentedon Jul 22, 2024 ShirleySyh on Jul 22, 2024 I was getting a similar error so i tried to reduce the NUM_...
raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str)) if isinstance(e, queue.Empty): return (False, None) raise def _get_batch(self): # Fetches data from `self.data_queue`. # # We check workers' status every `MP_STATUS_CHECK_INTERVAL` seconds, #...
self.worker_pids_set =True# prime the prefetch loopfor_inrange(2* self.num_workers):# 为什么*2,表示不是很懂,这里相当于加载了2*num_workers个batch的数据。大概是说,初始化的时候,给定足量的数据在里面。self._put_indices()def__len__(self):returnlen(self.batch_sampler)def_get_batch(self):...
self.worker_pids_set = False self.shutdown = False self.send_idx = 0 self.rcvd_idx = 0 self.reorder_dict = {} self.done_event = multiprocessing.Event() self.index_queues = [] self.workers = [] for i in range(self.num_workers): ...