PyTorch 使用一些错误记录
- 错误一
Traceback (most recent call last):
2012 File "train.py", line 131, in <module>
2013 for _, (input_images, ground_truths, masks) in enumerate(data_loader):
2014 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 345, in __next__
2015 data = self._next_data()
2016 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 856, in _next_data
2017 return self._process_data(data)
2018 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 881, in _process_data
2019 data.reraise()
2020 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/_utils.py", line 394, in reraise
2021 raise self.exc_type(msg)
2022 OSError: Caught OSError in DataLoader worker process 3.
2023 Original Traceback (most recent call last):
2024 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/_utils/worker.py", line 178, in _worker_loop
2025 data = fetcher.fetch(index)
2026 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
2027 data = [self.dataset[idx] for idx in possibly_batched_index]
2028 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
2029 data = [self.dataset[idx] for idx in possibly_batched_index]
2030 File "/home/guoxiefan/PyTorch/ImageInpainting/LBAM/src/dataset.py", line 76, in __getitem__
2031 ground_truth = self.image_files_transforms(image.convert('RGB'))
2032 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/PIL/Image.py", line 873, in convert
2033 self.load()
2034 File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/PIL/ImageFile.py", line 247, in load
2035 "(%d bytes not processed)" % len(b)
2036 OSError: image file is truncated (16 bytes not processed)
解决方案：[Link]
- 错误二
Traceback (most recent call last):
File "train.py", line 136, in <module>
outputs = generator(input_images, masks)
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__
result = self.forward(*input, **kwargs)
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 148, in forward
inputs, kwargs = self.scatter(inputs, kwargs, self.device_ids)
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 159, in scatter
return scatter_kwargs(inputs, kwargs, device_ids, dim=self.dim)
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/nn/parallel/scatter_gather.py", line 36, in scatter_kwargs
inputs = scatter(inputs, target_gpus, dim) if inputs else []
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/nn/parallel/scatter_gather.py", line 28, in scatter
res = scatter_map(inputs)
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/nn/parallel/scatter_gather.py", line 15, in scatter_map
return list(zip(*map(scatter_map, obj)))
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/nn/parallel/scatter_gather.py", line 13, in scatter_map
return Scatter.apply(target_gpus, None, dim, obj)
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/nn/parallel/_functions.py", line 89, in forward
outputs = comm.scatter(input, target_gpus, chunk_sizes, ctx.dim, streams)
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/cuda/comm.py", line 147, in scatter
return tuple(torch._C._scatter(tensor, devices, chunk_sizes, dim, streams))
RuntimeError: cuda runtime error (60) : peer mapping resources exhausted at /opt/conda/conda-bld/pytorch_1579022051443/work/aten/src/THC/THCGeneral.cpp:141
解决：对于nn.DataParallel作用的nn.Module，传入参数一般为实数，或者为原始数据（[B * C * H * W]）。传入参数与并行有关，需要特别注意。nn.DataParallel并行切分 B 维度。
- 问题三
Traceback (most recent call last):
File "train.py", line 123, in <module>
for _, (input_images, ground_truths, masks) in enumerate(data_loader):
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 345, in __next__
data = self._next_data()
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 841, in _next_data
idx, data = self._get_data()
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 808, in _get_data
success, data = self._try_get_data()
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 761, in _try_get_data
data = self._data_queue.get(timeout=timeout)
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/multiprocessing/queues.py", line 113, in get
return _ForkingPickler.loads(res)
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/multiprocessing/reductions.py", line 294, in rebuild_storage_fd
fd = df.detach()
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/multiprocessing/resource_sharer.py", line 58, in detach
return reduction.recv_handle(conn)
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/multiprocessing/reduction.py", line 182, in recv_handle
return recvfds(s, 1)[0]
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/multiprocessing/reduction.py", line 161, in recvfds
len(ancdata))
RuntimeError: received 0 items of ancdata
Traceback (most recent call last):
File "train.py", line 124, in <module>
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 345, in __next__
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 841, in _next_data
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 808, in _get_data
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 761, in _try_get_data
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/multiprocessing/queues.py", line 113, in get
File "/data/guoxiefan/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/multiprocessing/reductions.py", line 310, in rebuild_storage_filename
RuntimeError: unable to open shared memory object </torch_24388_2219814394> in read-write mode
尽量不要在调用函数中重复创建模型对象（然后.cuda()放到GPU上），例如VGG提取特征的VGG模型，最好在一次创建，然后再传参。
- 问题四
writer = SummaryWriter(log_dir) 必须写 close()，会出现 open file too many的错误
