RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False.

when I run this command (taken from the instructions page https://github.com/seoungwugoh/STM ) after running through the install

(STMVOS) C:\Users\OneWorld\Documents\DeepLearning\VideoObjectSegmentation\STMVOS>python eval_DAVIS.py -g '1' -s val -y 16 -D C:\Users\OneWorld\Documents\DeepLearning\VideoObjectSegmentation\DAVISSemiSupervisedTrainVal480

It gets this far

Space-time Memory Networks: initialized.
STM : Testing on DAVIS
Downloading: "https://download.pytorch.org/models/resnet50-19c8e357.pth" to C:\Users\OneWorld/.cache\torch\checkpoints\resnet50-19c8e357.pth
100%|██████████████████████████████████████████████████████████████████████████| 97.8M/97.8M [00:09<00:00, 10.7MB/s]
Loading weights: STM_weights.pth

and then I see this error

Traceback (most recent call last):
  File "eval_DAVIS.py", line 111, in <module>
    model.load_state_dict(torch.load(pth_path))
  File "C:\Users\OneWorld\anaconda3\envs\STMVOS\lib\site-packages\torch\serialization.py", line 593, in load
    return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
  File "C:\Users\OneWorld\anaconda3\envs\STMVOS\lib\site-packages\torch\serialization.py", line 773, in _legacy_load
    result = unpickler.load()
  File "C:\Users\OneWorld\anaconda3\envs\STMVOS\lib\site-packages\torch\serialization.py", line 729, in persistent_load
    deserialized_objects[root_key] = restore_location(obj, location)
  File "C:\Users\OneWorld\anaconda3\envs\STMVOS\lib\site-packages\torch\serialization.py", line 178, in default_restore_location
    result = fn(storage, location)
  File "C:\Users\OneWorld\anaconda3\envs\STMVOS\lib\site-packages\torch\serialization.py", line 154, in _cuda_deserialize
    device = validate_cuda_device(location)
  File "C:\Users\OneWorld\anaconda3\envs\STMVOS\lib\site-packages\torch\serialization.py", line 138, in validate_cuda_device
    raise RuntimeError('Attempting to deserialize object on a CUDA '
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.

I am using Windows 10.

# packages in environment at C:\Users\OneWorld\anaconda3\envs\STMVOS:
#
# Name                    Version                   Build  Channel
blas                      1.0                         mkl
ca-certificates           2020.1.1                      0
certifi                   2020.4.5.1               py38_0
cuda100                   1.0                           0    pytorch
cudatoolkit               10.2.89              h74a9793_1
cycler                    0.10.0                   py38_0
freetype                  2.9.1                ha9979f8_1
hdf5                      1.10.4               h7ebc959_0
icc_rt                    2019.0.0             h0cc432a_1
icu                       58.2                 ha925a31_3
intel-openmp              2020.1                      216
jpeg                      9b                   hb83a4c4_2
kiwisolver                1.2.0            py38h74a9793_0
libopencv                 4.0.1                hbb9e17c_0
libpng                    1.6.37               h2a8f88b_0
libtiff                   4.1.0                h56a325e_0
matplotlib                3.1.3                    py38_0
matplotlib-base           3.1.3            py38h64f37c6_0
mkl                       2020.1                      216
mkl-service               2.3.0            py38hb782905_0
mkl_fft                   1.0.15           py38h14836fe_0
mkl_random                1.1.1            py38h47e9c7a_0
ninja                     1.9.0            py38h74a9793_0
numpy                     1.18.1           py38h93ca92e_0
numpy-base                1.18.1           py38hc3f5095_1
olefile                   0.46                       py_0
opencv                    4.0.1            py38h2a7c758_0
openssl                   1.1.1g               he774522_0
pillow                    7.1.2            py38hcc1f983_0
pip                       20.0.2                   py38_3
py-opencv                 4.0.1            py38he44ac1e_0
pyparsing                 2.4.7                      py_0
pyqt                      5.9.2            py38ha925a31_4
python                    3.8.3                he1778fa_0
python-dateutil           2.8.1                      py_0
pytorch                   1.5.0           py3.8_cuda102_cudnn7_0    pytorch
qt                        5.9.7            vc14h73c81de_0
setuptools                46.4.0                   py38_0
sip                       4.19.13          py38ha925a31_0
six                       1.14.0                   py38_0
sqlite                    3.31.1               h2a8f88b_1
tk                        8.6.8                hfa6e2cd_0
torchvision               0.6.0                py38_cu102    pytorch
tornado                   6.0.4            py38he774522_1
tqdm                      4.46.0                     py_0
vc                        14.1                 h0510ff6_4
vs2015_runtime            14.16.27012          hf0eaf9b_2
wheel                     0.34.2                   py38_0
wincertstore              0.2                      py38_0
xz                        5.2.5                h62dcd97_0
zlib                      1.2.11               h62dcd97_4
zstd                      1.3.7                h508b16e_0

     active environment : STMVOS
    active env location : C:\Users\OneWorld\anaconda3\envs\STMVOS
            shell level : 2
       user config file : C:\Users\OneWorld\.condarc
 populated config files : C:\Users\OneWorld\.condarc
          conda version : 4.8.2
    conda-build version : 3.18.11
         python version : 3.7.6.final.0
       virtual packages : __cuda=10.2
       base environment : C:\Users\OneWorld\anaconda3  (writable)
           channel URLs : https://repo.anaconda.com/pkgs/main/win-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/win-64
                          https://repo.anaconda.com/pkgs/r/noarch
                          https://repo.anaconda.com/pkgs/msys2/win-64
                          https://repo.anaconda.com/pkgs/msys2/noarch
          package cache : C:\Users\OneWorld\anaconda3\pkgs
                          C:\Users\OneWorld\.conda\pkgs
                          C:\Users\OneWorld\AppData\Local\conda\conda\pkgs
       envs directories : C:\Users\OneWorld\anaconda3\envs
                          C:\Users\OneWorld\.conda\envs
                          C:\Users\OneWorld\AppData\Local\conda\conda\envs
               platform : win-64
             user-agent : conda/4.8.2 requests/2.22.0 CPython/3.7.6 Windows/10 Windows/10.0.17134
          administrator : False
             netrc file : None
           offline mode : False

I have added some more detail into things I have tried in the following stack overflow link:- https://stackoverflow.com/questions/62088265/runtimeerror-attempting-to-deserialize-object-on-a-cuda-device-but-torch-cuda-i I tried in Ubuntu aswell

Any ideas how to get an NVIDIA Geforce 1070 GPU to work with STM ?

seoungwugoh / STM

RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. #16