Failed to load model
See original GitHub issueI am trying to use memory analyzer for the resnet50_netdef
model. It seems that I can start the tritonserver but cannot load the model. What may be the problem here?
kingsleyl@prm-dgx-05:/gpfs/fs1/kingsley/server/docs/examples$ docker run -v /var/run/docker.sock:/var/run/docker.sock -v /gpfs/fs1/kingsley/server/docs/examples/embed_model_repository:/models -v /gpfs/fs1/kingsley/server/docs/examples/results:/results --net=host memory-analyzer:latest --batch 1,2,4 --concurrency 1,2,4 --model-names resnet50_netdef --model-folder /models --export --export-path /results/
Failed to load resnet50_netdef on inference server: skipping model
Server Only:
Model Batch Concurrency Throughput Max Memory Util(%) Max GPU Util(%) Max BAR1(MB) Max Framebuffer(MB)
triton-server 0 0 0 infer/sec 0 0 8 308
Models:
Model Batch Concurrency Throughput Max Memory Util(%) Max GPU Util(%) Max BAR1(MB) Max Framebuffer(MB)
By the way, I can start the tritonserver with resnet50_netdef
model successfully in the environment inside the nvcr.io/nvidia/tritonserver:20.09-py3
container.
Issue Analytics
- State:
- Created 3 years ago
- Comments:5
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Found it! You actually need to use the absolute path to the model directory thrice in the command for now, due to the way Docker is used here. The command would be:
docker run -v /var/run/docker.sock:/var/run/docker.sock -v /gpfs/fs1/kingsley/server/docs/examples/embed_model_repository:/gpfs/fs1/kingsley/server/docs/examples/embed_model_repository -v /gpfs/fs1/kingsley/server/docs/examples/results:/results --net=host memory-analyzer:latest --batch 1,2,4 --concurrency 1,2,4 --model-names resnet50_netdef --model-folder /gpfs/fs1/kingsley/server/docs/examples/embed_model_repository --export --export-path /results/
Thanks a lot for your help. I think this issue can be closed. @dyastremsky