runtime error

Space not ready. Reason: Error, exitCode: 1, message: None

Container logs:

WARNING: The directory '/home/user/.cache/pip' or its parent directory is not owned or is not writable by the current user. The cache has been disabled. Check the permissions and owner of that directory. If executing pip with sudo, you should use sudo's -H flag.
absl-py==1.1.0
aiohttp==3.8.1
aiosignal==1.2.0
altair==4.2.0
analytics-python==1.4.0
antlr4-python3-runtime==4.9.3
anyio==3.6.1
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
asgiref==3.5.2
asttokens==2.0.5
async-timeout==4.0.2
attrs==21.4.0
backcall==0.2.0
backoff==1.10.0
backports.zoneinfo==0.2.1
bcrypt==3.2.2
beautifulsoup4==4.11.1
bleach==5.0.0
blinker==1.4
cachetools==5.2.0
certifi==2022.5.18.1
cffi==1.15.0
charset-normalizer==2.0.12
click==8.0.4
cryptography==37.0.2
cycler==0.11.0
datasets==2.2.2
debugpy==1.6.0
decorator==5.1.1
defusedxml==0.7.1
dill==0.3.4
einops==0.4.1
entrypoints==0.4
executing==0.8.3
fastapi==0.78.0
fastjsonschema==2.15.3
ffmpy==0.3.0
filelock==3.7.1
fonttools==4.33.3
frozenlist==1.3.0
fsspec==2022.5.0
ftfy==6.1.1
gitdb==4.0.9
GitPython==3.1.27
google-auth==2.6.6
google-auth-oauthlib==0.4.6
gradio==3.0b6
grpcio==1.46.3
h11==0.13.0
huggingface-hub==0.7.0
idna==3.3
imageio==2.19.3
imageio-ffmpeg==0.4.7
importlib-metadata==4.11.4
importlib-resources==5.7.1
ipykernel==6.13.1
ipython==8.4.0
ipython-genutils==0.2.0
ipywidgets==7.7.0
jedi==0.18.1
Jinja2==3.1.2
jsonschema==4.6.0
jupyter-client==7.3.3
jupyter-core==4.10.0
jupyterlab-pygments==0.2.2
jupyterlab-widgets==1.1.0
kiwisolver==1.4.2
kornia==0.6.5
linkify-it-py==1.0.3
Markdown==3.3.7
markdown-it-py==2.1.0
MarkupSafe==2.1.1
matplotlib==3.5.2
matplotlib-inline==0.1.3
mdit-py-plugins==0.3.0
mdurl==0.1.1
mistune==0.8.4
monotonic==1.6
multidict==6.0.2
multiprocess==0.70.12.2
nbclient==0.6.4
nbconvert==6.5.0
nbformat==5.4.0
nest-asyncio==1.5.5
notebook==6.4.11
numpy==1.22.4
oauthlib==3.2.0
omegaconf==2.2.2
orjson==3.7.2
packaging==21.3
pandas==1.4.2
pandocfilters==1.5.0
paramiko==2.11.0
parso==0.8.3
pexpect==4.8.0
pickleshare==0.7.5
Pillow==9.1.1
prometheus-client==0.14.1
prompt-toolkit==3.0.29
protobuf==3.20.1
psutil==5.9.1
ptyprocess==0.7.0
pure-eval==0.2.2
pyarrow==8.0.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycparser==2.21
pycryptodome==3.14.1
pydantic==1.9.1
pydeck==0.7.1
pyDeprecate==0.3.2
pydub==0.25.1
Pygments==2.12.0
Pympler==1.0.1
PyNaCl==1.5.0
pyparsing==3.0.9
pyrsistent==0.18.1
python-dateutil==2.8.2
python-multipart==0.0.5
pytorch-lightning==1.6.4
pytz==2022.1
pytz-deprecation-shim==0.1.0.post0
PyYAML==6.0
pyzmq==23.1.0
regex==2022.6.2
requests==2.27.1
requests-oauthlib==1.3.1
responses==0.18.0
rsa==4.8
semver==2.13.0
Send2Trash==1.8.0
six==1.16.0
smmap==5.0.0
sniffio==1.2.0
soupsieve==2.3.2.post1
stack-data==0.2.0
starlette==0.19.1
streamlit==1.9.0
tensorboard==2.9.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
terminado==0.15.0
tinycss2==1.1.1
toml==0.10.2
toolz==0.11.2
torch==1.11.0
torchmetrics==0.9.0
torchvision==0.12.0
tornado==6.1
tqdm==4.64.0
traitlets==5.2.2.post1
typing_extensions==4.2.0
tzdata==2022.1
tzlocal==4.2
uc-micro-py==1.0.1
urllib3==1.26.9
uvicorn==0.17.6
validators==0.20.0
watchdog==2.1.8
wcwidth==0.2.5
webencodings==0.5.1
Werkzeug==2.1.2
widgetsnbextension==3.6.0
xxhash==3.0.0
yarl==1.7.2
zipp==3.8.0

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/home/user/app/CLIP/clip/clip.py:23: UserWarning: PyTorch version 1.7.1 or higher is recommended
  warnings.warn("PyTorch version 1.7.1 or higher is recommended")

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Using device: cpu
Working with z of shape (1, 256, 16, 16) = 65536 dimensions.
./taming-transformers/taming/modules/losses/lpips.py:34: SyntaxWarning: "is not" with a literal. Did you mean "!="?
  if name is not "vgg_lpips":
Downloading: "https://download.pytorch.org/models/vgg16-397923af.pth" to /home/user/.cache/torch/hub/checkpoints/vgg16-397923af.pth

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Downloading vgg_lpips model from https://heibox.uni-heidelberg.de/f/607503859c864bc1b30b/?dl=1 to taming/modules/autoencoder/lpips/vgg.pth

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loaded pretrained LPIPS loss from taming/modules/autoencoder/lpips/vgg.pth
VQLPIPSWithDiscriminator running with hinge loss.
Restored from vqgan_imagenet_f16_16384.ckpt

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/home/user/.local/lib/python3.8/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect
  warnings.warn(value)
/home/user/.local/lib/python3.8/site-packages/gradio/deprecation.py:40: UserWarning: `numeric` parameter is deprecated, and it has no effect
  warnings.warn(value)
/home/user/.local/lib/python3.8/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.
  warnings.warn(value)
/home/user/.local/lib/python3.8/site-packages/gradio/interface.py:288: UserWarning: Currently, only the 'default' theme is supported.
  warnings.warn("Currently, only the 'default' theme is supported.")
Cache at /home/user/app/gradio_cached_examples/log.csv not found. Caching now in 'gradio_cached_examples/' directory.
Traceback (most recent call last):
  File "app.py", line 368, in <module>
    gr.Interface(
  File "/home/user/.local/lib/python3.8/site-packages/gradio/interface.py", line 422, in __init__
    cache_interface_examples(self)
  File "/home/user/.local/lib/python3.8/site-packages/gradio/process_examples.py", line 51, in cache_interface_examples
    raise e
  File "/home/user/.local/lib/python3.8/site-packages/gradio/process_examples.py", line 47, in cache_interface_examples
    prediction = process_example(interface, example_id)
  File "/home/user/.local/lib/python3.8/site-packages/gradio/process_examples.py", line 29, in process_example
    prediction = interface.process(raw_input)
  File "/home/user/.local/lib/python3.8/site-packages/gradio/interface.py", line 704, in process
    predictions = self.run_prediction(processed_input)
  File "/home/user/.local/lib/python3.8/site-packages/gradio/interface.py", line 668, in run_prediction
    prediction = predict_fn(*processed_input)
  File "app.py", line 198, in inference
    torch.cuda.memory_summary(device=None, abbreviated=False)
  File "/home/user/.local/lib/python3.8/site-packages/torch/cuda/memory.py", line 485, in memory_summary
    current = stats[prefix + "current"]
KeyError: 'allocated_bytes.all.current'