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I'm trying to server my Object Detection model via TF Serving and I'm unable to get results on the client side script.
I'm running this in an environment with tensorflow_model_server version 2.9.1 (built with GPU support) and the pip package tensorflow-serving-api version 2.2.0
All this is being run in a RHEL 8 system with a CUDA version of 11.0
The binary file resulting from the build is being run outside any docker container and on a bare metal server.
How do I make tensorflow_model_server listen on IPV4 instead of the IPV6?
Is there any way to solve the error shown in the above screenshot?
The text was updated successfully, but these errors were encountered:
Kindly share the minimal code to reproduce the error for faster resolution.
In meanwhile, you can refer to documentation and tutorial for using gRPC API with Tensorflow ModelServer. Thank you!
Closing this due to inactivity. Please take a look into the answers provided above, feel free to reopen and post your comments(if you still have queries on this). Thank you!
I'm trying to server my Object Detection model via TF Serving and I'm unable to get results on the client side script.
I'm running this in an environment with tensorflow_model_server version 2.9.1 (built with GPU support) and the pip package tensorflow-serving-api version 2.2.0
All this is being run in a RHEL 8 system with a CUDA version of 11.0
tensorflow_model_server was built by referring to the official TF documentation and with the docker file :
https://github.com/tensorflow/serving/blob/master/tensorflow_serving/tools/docker/Dockerfile.gpu
The binary file resulting from the build is being run outside any docker container and on a bare metal server.
How do I make tensorflow_model_server listen on IPV4 instead of the IPV6?
Is there any way to solve the error shown in the above screenshot?
The text was updated successfully, but these errors were encountered: