neilbhutada commented on issue #36368: URL: https://github.com/apache/beam/issues/36368#issuecomment-3385669660
Hey, sorry for getting to this right now. But basically, the trick is to use Triton Server's In-process Python C-API. These are some great places to start that talk about this concept: - https://www.youtube.com/watch?v=oHx77B5i8vk - https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/client_guide/python.html - https://github.com/triton-inference-server/tutorials/tree/main/Triton_Inference_Server_Python_API I was inspired by what NVIDIA proposed to for Kafka and applied the same concept to Dataflow: - https://github.com/triton-inference-server/tutorials/tree/main/Triton_Inference_Server_Python_API/examples/kafka-io -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
