After deploying Django app in App Engine my website doesn't load

[Gestion MYTEAM]

So after deploying my Django App with Google Cloud App Engine, I cannot get a respone from the website, in other words the website keeps loading non stop.

You can check it here : https://sam-website-358409.ew.r.appspot.com/

The message I got after the deployment was done :

Updating service [default] (this may take several minutes)...done. Setting traffic split for service [default]...done. Stopping version [sam-website-358409/default/20220825t151307]. Sent request to stop version [sam-website-358409/default/20220825t151307]. This operation may take some time to complete. If you would like to verify that it succeeded, run: $ gcloud app versions describe -s default 20220825t151307 until it shows that the version has stopped. Deployed service [default] to [https://sam-website-358409.ew.r.appspot.com] You can stream logs from the command line by running: $ gcloud app logs tail -s default To view your application in the web browser run: $ gcloud app browse

Which seems fine, so trying to debug the problem, I have run : 

gcloud app logs tail -s default

I notice then lots of warnings that keeps showing repeatidly :

 - This IS expected if you are initializing CamembertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). 2022-08-25 16:33:36 default[20220825t175602] - This IS NOT expected if you are initializing CamembertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). 2022-08-25 16:33:39 default[20220825t175602] /env/lib/python3.7/site-packages/sklearn/base.py:338: UserWarning: Trying to unpickle estimator LogisticRegression from version 0.24.2 when using version 1.0.2. This might lead to breaking code or invalid results. Use at your own risk. For more info please refer to: 2022-08-25 16:33:39 default[20220825t175602] https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations 2022-08-25 16:33:39 default[20220825t175602] UserWarning, 2022-08-25 16:33:39 default[20220825t175602] /env/lib/python3.7/site-packages/spacy/util.py:865: UserWarning: [W095] Model 'fr_core_news_lg' (3.1.0) was trained with spaCy v3.1 and may not be 100% compatible with the current version (3.4.1). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate 2022-08-25 16:33:39 default[20220825t175602] warnings.warn(warn_msg) 2022-08-25 16:33:41 default[20220825t175602] Some weights of the model checkpoint at camembert-base were not used when initializing CamembertModel: ['lm_head.bias', 'lm_head.dense.bias', 'lm_head.layer_norm.bias', 'lm_head.layer_norm.weight', 'lm_head.dense.weight', 'lm_head.decoder.weight'] 2022-08-25 16:33:41 default[20220825t175602] - This IS expected if you are initializing CamembertModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). 2022-08-25 16:33:41 default[20220825t175602] - This IS NOT expected if you are initializing CamembertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). 2022-08-25 16:33:44 default[20220825t175602] [2022-08-25 16:33:44 +0000] [179] [INFO] Worker exiting (pid: 179) 2022-08-25 16:33:45 default[20220825t175602] [2022-08-25 16:33:45 +0000] [191] [INFO] Booting worker with pid: 191 2022-08-25 16:33:46 default[20220825t175602] 2022-08-25 16:33:46.542163: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA 2022-08-25 16:33:46 default[20220825t175602] To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2022-08-25 16:33:48 default[20220825t175602] 2022-08-25 16:33:48.108067: 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 2022-08-25 16:33:48 default[20220825t175602] 2022-08-25 16:33:48.108101: 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. 2022-08-25 16:33:50 default[20220825t175602] [2022-08-25 16:33:50 +0000] [1] [CRITICAL] WORKER TIMEOUT (pid:132) 2022-08-25 16:33:50 default[20220825t175602] [2022-08-25 16:33:50 +0000] [132] [INFO] Worker exiting (pid: 132) 2022-08-25 16:33:51 default[20220825t175602] [2022-08-25 16:33:51 +0000] [1] [WARNING] Worker with pid 132 was terminated due to signal 9 2022-08-25 16:33:51 default[20220825t175602] [2022-08-25 16:33:51 +0000] [144] [INFO] Booting worker with pid: 144 2022-08-25 16:33:52 default[20220825t175602] 2022-08-25 16:33:52.437860: 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 2022-08-25 16:33:52 default[20220825t175602] 2022-08-25 16:33:52.437899: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303) 2022-08-25 16:33:52 default[20220825t175602] 2022-08-25 16:33:52.437933: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (0083c9528b79): /proc/driver/nvidia/version does not exist 2022-08-25 16:33:53 default[20220825t175602] /env/lib/python3.7/site-packages/spacy/util.py:865: UserWarning: [W095] Model 'fr_core_news_lg' (3.1.0) was trained with spaCy v3.1 and may not be 100% compatible with the current version (3.4.1). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate 2022-08-25 16:33:53 default[20220825t175602] warnings.warn(warn_msg) 2022-08-25 16:33:53 default[20220825t175602] 2022-08-25 16:33:53.266169: 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 2022-08-25 16:33:53 default[20220825t175602] 2022-08-25 16:33:53.266266: 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. 2022-08-25 16:33:55 default[20220825t175602] 2022-08-25 16:33:55.698315: 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 2022-08-25 16:33:55 default[20220825t175602] 2022-08-25 16:33:55.698350: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303) 2022-08-25 16:33:55 default[20220825t175602] 2022-08-25 16:33:55.698380: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (2e597b32f6d7): /proc/driver/nvidia/version does not exist 2022-08-25 16:33:56 default[20220825t175602] /env/lib/python3.7/site-packages/spacy/util.py:865: UserWarning: [W095] Model 'fr_core_news_lg' (3.1.0) was trained with spaCy v3.1 and may not be 100% compatible with the current version (3.4.1). If you see errors or degraded performance, download a newer compatible model or retrain your custom model with the current spaCy version. For more details and available updates, run: python -m spacy validate 2022-08-25 16:33:56 default[20220825t175602] warnings.warn(warn_msg) 2022-08-25 16:34:10 default[20220825t175602] Some weights of the model checkpoint at camembert-base were not used when initializing CamembertModel: ['lm_head.decoder.weight', 'lm_head.dense.bias', 'lm_head.layer_norm.bias', 'lm_head.layer_norm.weight', 'lm_head.bias', 'lm_head.dense.weight']

What's weird is the app is running fine localy and also in the VM instance created by the Google App Engine.

runtime: python

env: flex

entrypoint: gunicorn -b :$PORT myteam.wsgi

beta_settings:

    cloud_sql_instances: sam-website-358409:europe-west9:sam-instance

runtime_config:

  python_version: 3.7

threadsafe: true

manual_scaling:

  instances: 2

network: {}

resources:

  cpu: 2

  memory_gb: 10

  disk_size_gb: 50

liveness_check:

  initial_delay_sec: 300

  check_interval_sec: 30

  timeout_sec: 4

  failure_threshold: 4

  success_threshold: 2

readiness_check:

  check_interval_sec: 5

  timeout_sec: 4

  failure_threshold: 2

  success_threshold: 2

  app_start_timeout_sec: 300

I would really appreciate it if you have some clues to solve the problem.

[Rogelio Monter Rodriguez]

I would suggest referring to this Stack Overflow post and this one, as they describe how to check the logs and identify the root cause of the issue. 

Also, I would suggest checking out these other post based on the errors shown on your logs:

• How to run TensorFlow in Google App Engine Flexible Environment? 

• TensorFlow2.1: Opened Dynamic Library: libcuda.so.1

Please note that Google Groups is reserved for general product discussions and is not for technical support. If you require further support for debugging of your application, it is recommended to post your detailed questions on Stack Overflow using the supported Cloud tags.