Spaces:
Runtime error
Runtime error
runtime error
Space not ready. Reason: Error, exitCode: 1, message: None
Container logs:
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
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==5.0.1
blinker==1.4
cachetools==5.2.0
certifi==2022.6.15
cffi==1.15.1
charset-normalizer==2.1.0
click==8.0.4
commonmark==0.9.1
cryptography==37.0.4
cycler==0.11.0
datasets==2.3.2
debugpy==1.6.2
decorator==5.1.1
defusedxml==0.7.1
dill==0.3.5.1
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==4.34.4
frozenlist==1.3.0
fsspec==2022.5.0
ftfy==6.1.1
gitdb==4.0.9
GitPython==3.1.27
google-auth==2.9.0
google-auth-oauthlib==0.4.6
gradio==3.0b6
grpcio==1.47.0
h11==0.12.0
httpcore==0.15.0
httpx==0.23.0
huggingface-hub==0.8.1
idna==3.3
imageio==2.19.3
imageio-ffmpeg==0.4.7
importlib-metadata==4.12.0
importlib-resources==5.8.0
ipykernel==6.15.1
ipython==8.4.0
ipython-genutils==0.2.0
ipywidgets==7.7.1
jedi==0.18.1
Jinja2==3.1.2
jsonschema==4.6.2
jupyter-client==7.3.4
jupyter-core==4.11.1
jupyterlab-pygments==0.2.2
jupyterlab-widgets==1.1.1
kiwisolver==1.4.3
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==0.70.13
nbclient==0.6.6
nbconvert==6.5.0
nbformat==5.4.0
nest-asyncio==1.5.5
notebook==6.4.12
numpy==1.23.1
oauthlib==3.2.0
omegaconf==2.2.2
orjson==3.7.7
packaging==21.3
pandas==1.4.3
pandocfilters==1.5.0
paramiko==2.11.0
parso==0.8.3
pexpect==4.8.0
pickleshare==0.7.5
Pillow==9.2.0
prometheus-client==0.14.1
prompt-toolkit==3.0.30
protobuf==3.19.4
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==3.15.0
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==23.2.0
regex==2022.7.9
requests==2.28.1
requests-oauthlib==1.3.1
responses==0.18.0
rfc3986==1.5.0
rich==12.4.4
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==0.3.0
starlette==0.19.1
streamlit==1.10.0
tensorboard==2.9.1
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==0.12.0
torch==1.12.0
torchmetrics==0.9.2
torchvision==0.13.0
tornado==6.2
tqdm==4.64.0
traitlets==5.3.0
typing_extensions==4.3.0
tzdata==2022.1
tzlocal==4.2
uc-micro-py==1.0.1
urllib3==1.26.10
uvicorn==0.18.2
validators==0.20.0
watchdog==2.1.9
wcwidth==0.2.5
webencodings==0.5.1
Werkzeug==2.1.2
widgetsnbextension==3.6.1
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":
/home/user/.local/lib/python3.8/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and will be removed in 0.15, please use 'weights' instead.
warnings.warn(
/home/user/.local/lib/python3.8/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and will be removed in 0.15. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
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 492, in memory_summary
current = stats[prefix + "current"]
KeyError: 'allocated_bytes.all.current'