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				| @ -74,6 +74,10 @@ ENV RAG_EMBEDDING_MODEL="$USE_EMBEDDING_MODEL_DOCKER" \ | ||||
| 
 | ||||
| ## Hugging Face download cache ## | ||||
| ENV HF_HOME="/app/backend/data/cache/embedding/models" | ||||
| 
 | ||||
| ## Torch Extensions ## | ||||
| ENV TORCH_EXTENSIONS_DIR="/app/backend/data/cache/torch_extensions" | ||||
| 
 | ||||
| #### Other models ########################################################## | ||||
| 
 | ||||
| WORKDIR /app/backend | ||||
|  | ||||
| @ -206,18 +206,6 @@ def update_reranking_model( | ||||
|                     print("ColBERT: Loading model", name) | ||||
|                     self.device = "cuda" if torch.cuda.is_available() else "cpu" | ||||
| 
 | ||||
|                     if DOCKER: | ||||
|                         # This is a workaround for the issue with the docker container | ||||
|                         # where the torch extension is not loaded properly | ||||
|                         # and the following error is thrown: | ||||
|                         # /root/.cache/torch_extensions/py311_cpu/segmented_maxsim_cpp/segmented_maxsim_cpp.so: cannot open shared object file: No such file or directory | ||||
| 
 | ||||
|                         lock_file = "/root/.cache/torch_extensions/py311_cpu/segmented_maxsim_cpp/lock" | ||||
|                         if os.path.exists(lock_file): | ||||
|                             os.remove(lock_file) | ||||
|                             print("ColBERT: Removed lock file") | ||||
| 
 | ||||
|                      | ||||
|                     self.ckpt = Checkpoint( | ||||
|                         name, | ||||
|                         colbert_config=ColBERTConfig(model_name=name), | ||||
|  | ||||
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