[RAPTOR-15042] hard upgrade of DRUM and other deps in all the envs except agents #1769
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The Needs Review labels were added based on the following file changes. Team @datarobot/core-modeling (#predictive-ai) was assigned because of changes in files:public_dropin_environments/python3_keras/env_info.json public_dropin_environments/python3_keras/requirements.txt public_dropin_environments/python3_pytorch/env_info.json public_dropin_environments/python3_pytorch/requirements.txt public_dropin_environments/python3_sklearn/env_info.json public_dropin_environments/python3_sklearn/requirements.txt public_dropin_environments/python3_xgboost/env_info.json public_dropin_environments/python3_xgboost/requirements.txt public_dropin_environments/r_lang/env_info.json public_dropin_environments/r_lang/requirements.txt Team @datarobot/genai-systems (#genai-systems) was assigned because of changes in files:model_templates/python3_xgboost/xgb_reg.pkl public_dropin_environments/java_codegen/env_info.json public_dropin_environments/java_codegen/requirements.txt public_dropin_environments/python311/env_info.json public_dropin_environments/python311/requirements.txt public_dropin_environments/python3_keras/env_info.json public_dropin_environments/python3_keras/requirements.txt public_dropin_environments/python3_onnx/env_info.json public_dropin_environments/python3_onnx/requirements.txt public_dropin_environments/python3_pytorch/env_info.json public_dropin_environments/python3_pytorch/requirements.txt public_dropin_environments/python3_sklearn/env_info.json public_dropin_environments/python3_sklearn/requirements.txt public_dropin_environments/python3_xgboost/env_info.json public_dropin_environments/python3_xgboost/requirements.txt public_dropin_environments/r_lang/env_info.json public_dropin_environments/r_lang/requirements.txt public_dropin_gpu_environments/vllm/env_info.json public_dropin_gpu_environments/vllm/requirements.txt tests/fixtures/drop_in_model_artifacts/xgb_bin.pkl tests/fixtures/drop_in_model_artifacts/xgb_multi.pkl tests/fixtures/drop_in_model_artifacts/xgb_reg.pkl If you think that there are some issues with ownership, please discuss with C&A domain at #sdtk slack channel and create PR to update DRCODEOWNERS\CODEOWNERS file. |
s-gavrenkov
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Label Needs Review: GenAI Systems was removed because @s-gavrenkov is part of GenAI Systems domain. |
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| # Setting OMP_NUM_THREADS=1 forces XGBoost to use only one thread per process. | ||
| # If we need to use wekzeug max_workers > 1 in DRUM, we must set OMP_NUM_THREADS=1 to avoid potential hangs. | ||
| # Maybe the same would apply to gunicorn, when we test. | ||
| # ENV OMP_NUM_THREADS=1 |
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@s-gavrenkov
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Just heads up that we may need this env var configured if we ever use werkzeug max_workers>1
For now I set it only in the related tests.
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Summary
Bump drum in envs to 1.17.8
Rationale
Note
Upgrades dependencies and env versions across drop-in environments (including DRUM 1.17.8) and updates tests to set OMP_NUM_THREADS for XGBoost when using multiple workers.
datarobot-drumto1.17.8,datarobotto3.9.1, OpenTelemetry stack to1.38.0/0.59b0,pillowto12.0.0, AWS/Google SDKs, and other libs; updateenv_info.jsonenvironmentVersionIdandtags.aiohttp,openai,jiter) while keeping labelv0.10.0and updating env version metadata.torch 2.9.1,triton 3.5.1, and newer CUDA/NCCL/NVSHMEM libs.onnxruntimeto1.23.2.xgboostto3.1.2; add Dockerfile comments reOMP_NUM_THREADSfor multi-worker stability.max_workers > 1, setOMP_NUM_THREADS=1and unset after tests.Written by Cursor Bugbot for commit 83e077e. This will update automatically on new commits. Configure here.