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Someone asked a similar question https://discuss.pytorch.org/t/torchserve-grpc-configuration-options-for-client-side-load-balancing/133218
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Related Issues (20)
- Add support for MPS in the basehandler HOT 1
- torchserve output customization HOT 3
- Exception when using torchserve to deploy hugging face model: java.lang.InterruptedException: null HOT 4
- Real-time Object Detection HOT 7
- PyTorch Serve: Custom handler not saving inference results HOT 6
- PyTorch serve with custom translators returning Unknown exception HOT 4
- Newer Base Image KServe Container fails with exec /usr/local/bin/dockerd-entrypoint.sh: exec format error HOT 7
- Reduce or remove worker retries for specific failures HOT 6
- Update describe model management API to show all model configuration options
- support install cpp dependency in auto-benchmark
- Custom class handler missing BaseHandler
- Kserve nightly CPU tests failure HOT 1
- gRPC Model Metadata using Open Inference Protocol HOT 1
- `\ready` API for Kubernetes probe to know when TorchServe backend is ready to receive traffic HOT 1
- CPU Launcher fails available check with venv HOT 3
- Can torchserve return image data? HOT 1
- Nightly upload to pypi failed HOT 1
- Conda nightlies not getting uploaded for the last 6 days HOT 1
- Building frontend from source in docker
- v0.10.0 OpenAPI specification does not validate
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