Added support for exposing GPUs to docker code executor#6339
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ekzhu
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Apr 22, 2025
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #6339 +/- ##
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Coverage 77.99% 77.99%
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Files 214 214
Lines 15381 15383 +2
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+ Hits 11996 11998 +2
Misses 3385 3385
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peterj
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Apr 24, 2025
…e0424 * upstream/main: Remove `name` field from OpenAI Assistant Message (microsoft#6388) Introduce workbench (microsoft#6340) TEST/change gpt4, gpt4o serise to gpt4.1nano (microsoft#6375) update website version (microsoft#6364) Add self-debugging loop to `CodeExecutionAgent` (microsoft#6306) Fix: deserialize model_context in AssistantAgent and SocietyOfMindAgent and CodeExecutorAgent (microsoft#6337) Add azure ai agent (microsoft#6191) Avoid re-registering a message type already registered (microsoft#6354) Added support for exposing GPUs to docker code executor (microsoft#6339) fix: ollama fails when tools use optional args (microsoft#6343) Add an example using autogen-core and FastAPI to create streaming responses (microsoft#6335) FEAT: SelectorGroupChat could using stream inner select_prompt (microsoft#6286) Add experimental notice to canvas (microsoft#6349) DOC: add extentions - autogen-oaiapi and autogen-contextplus (microsoft#6338) fix: ensure serialized messages are passed to LLMStreamStartEvent (microsoft#6344) Generalize Continuous SystemMessage merging via model_info[“multiple_system_messages”] instead of `startswith("gemini-")` (microsoft#6345) Agentchat canvas (microsoft#6215) Signed-off-by: Peter Jausovec <peter.jausovec@solo.io>
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Why are these changes needed?
The DockerCommandLineCodeExecutor doesn't currently offer GPU support. By simply using DeviceRequest from the docker python API, these changes expose GPUs to the docker container and provide the ability to execute CUDA-accelerated code within autogen.
Related issue number
Closes: #6302
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