pytorch OSError: [Errno 28] No space left on device
I'm using an ubuntu 18 docker container.
$cat /etc/lsb-release
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=18.04
DISTRIB_CODENAME=bionic
DISTRIB_DESCRIPTION=&quot;Ubuntu 18.04.4 LTS&quot;

When I try training a resnext101 model from torchvision, I get the following error.
Downloading: &quot;https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth&quot; to /home/vmuser/.cache/torch/hub/checkpoints/resnext101_32x8d-8ba56ff5.pth
  0%|                                                          | 0.00/340M [00:00&lt;?, ?B/s]
Traceback (most recent call last):
  File &quot;train_attn_best_config.py&quot;, line 377, in &lt;module&gt;
    tabct = TabCT(cnn = model, fc_dim = fd, attn_filters = af, n_attn_layers = nal).to(gpu)
  File &quot;train_attn_best_config.py&quot;, line 219, in __init__
    self.ct_cnn = cnn_dict[cnn](pretrained = True)
  File &quot;/home/vmuser/anaconda3/envs/pulmo/lib/python3.7/site-packages/torchvision/models/resnet.py&quot;, line 317, in resnext101_32x8d
    pretrained, progress, **kwargs)
  File &quot;/home/vmuser/anaconda3/envs/pulmo/lib/python3.7/site-packages/torchvision/models/resnet.py&quot;, line 227, in _resnet
    progress=progress)
  File &quot;/home/vmuser/anaconda3/envs/pulmo/lib/python3.7/site-packages/torch/hub.py&quot;, line 481, in load_state_dict_from_url
    download_url_to_file(url, cached_file, hash_prefix, progress=progress)
  File &quot;/home/vmuser/anaconda3/envs/pulmo/lib/python3.7/site-packages/torch/hub.py&quot;, line 404, in download_url_to_file
    f.write(buffer)
  File &quot;/home/vmuser/anaconda3/envs/pulmo/lib/python3.7/tempfile.py&quot;, line 481, in func_wrapper
    return func(*args, **kwargs)
OSError: [Errno 28] No space left on device


When I run df, I get this, one of my tmpfs is only 65 mb. I tried running export TMPDIR=/var/tmp and export TMPDIR=~/Data/tmp
$df
Filesystem      1K-blocks       Used Available Use% Mounted on
overlay        1797272568 1705953392         0 100% /
tmpfs               65536          0     65536   0% /dev
tmpfs            98346264          0  98346264   0% /sys/fs/cgroup
/dev/sda6      1797272568 1705953392         0 100% /etc/hosts
shm                 65536          0     65536   0% /dev/shm
/dev/sdb1      1845816492 1362932848 389098592  78% /home/vmuser/Data
tmpfs            98346264         12  98346252   1% /proc/driver/nvidia
tmpfs            19669256      93256  19576000   1% /run/nvidia-persistenced/socket
udev             98318592          0  98318592   0% /dev/nvidia1
tmpfs            98346264          0  98346264   0% /proc/acpi
tmpfs            98346264          0  98346264   0% /proc/scsi
tmpfs            98346264          0  98346264   0% /sys/firmware

But the error is still there.

This seems like a shm issue.
Try running docker with ipc=host flag.
For more details, see this thread.
