[google-appengine] The website doesn't load after deploying Django app in Google Cloud App Engine

2022-09-01 Thread 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/

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 
   +] [179] [INFO] Worker exiting (pid: 179) 2022-08-25 16:33:45 
   default[20220825t175602] [2022-08-25 16:33:45 +] [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 +] [1] 
   [CRITICAL] WORKER TIMEOUT (pid:132) 2022-08-25 16:33:50 
   default[20220825t175602] [2022-08-25 16:33:50 +] [132] [INFO] Worker 
   exiting (pid: 132) 2022-08-25 16:33:51 default[20220825t175602] [2022-08-25 
   16:33:51 +] [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 
   +] [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_exec

[google-appengine] After deploying Django app in App Engine my website doesn't load

2022-08-31 Thread 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 
+] [179] [INFO] Worker exiting (pid: 179) 2022-08-25 16:33:45 
default[20220825t175602] [2022-08-25 16:33:45 +] [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 +] [1] 
[CRITICAL] WORKER TIMEOUT (pid:132) 2022-08-25 16:33:50 
default[20220825t175602] [2022-08-25 16:33:50 +] [132] [INFO] Worker 
exiting (pid: 132) 2022-08-25 16:33:51 default[20220825t175