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Runtime error

runtime error

launch timed out, space was not healthy after 30 min

Container logs:

					
						WARNING:matplotlib:Matplotlib created a temporary config/cache directory at /tmp/matplotlib-9tpp1pu6 because the default path (/.config/matplotlib) is not a writable directory; it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing.
2023-01-26 14:07:18.320846: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2023-01-26 14:07:18.320873: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
/usr/local/lib/python3.8/dist-packages/tensorflow_addons/utils/ensure_tf_install.py:53: UserWarning: Tensorflow Addons supports using Python ops for all Tensorflow versions above or equal to 2.9.0 and strictly below 2.12.0 (nightly versions are not supported). 
 The versions of TensorFlow you are currently using is 2.7.0 and is not supported. 
Some things might work, some things might not.
If you were to encounter a bug, do not file an issue.
If you want to make sure you're using a tested and supported configuration, either change the TensorFlow version or the TensorFlow Addons's version. 
You can find the compatibility matrix in TensorFlow Addon's readme:
https://github.com/tensorflow/addons
  warnings.warn(

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Downloading (…)ideo_full/checkpoint: 100%|██████████| 77.0/77.0 [00:00<00:00, 50.9kB/s]2023-01-26 14:11:12.672435: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2023-01-26 14:11:12.672476: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)
2023-01-26 14:11:12.672495: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (s-kurokabe-ganime-d9cfd-5bfbff4748-4sftb): /proc/driver/nvidia/version does not exist
2023-01-26 14:11:12.673583: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Working with z of shape (1, 512, 16, 16) = 131072 dimensions.
Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg19/vgg19_weights_tf_dim_ordering_tf_kernels_notop.h5

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VQLPIPSWithDiscriminator running with hinge loss.
using method  own_embeddings

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Downloading (…)22%3B&x-id=GetObject: 100%|██████████| 3.10G/3.10G [01:18<00:00, 39.5MB/s]2023-01-26 14:12:32.829162: W tensorflow/python/util/util.cc:368] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them.

All model checkpoint layers were used when initializing TFGPT2LMHeadModel.

Some layers of TFGPT2LMHeadModel were not initialized from the model checkpoint at gpt2-large and are newly initialized: ['transformer/weight:0']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.

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