HamidShojanazeri
commented
2 years ago @Aprilmhx I am not repro the issue, can you pls try the following on your end.
(image_seg) ubuntu@ip-172-31-49-104:~$ torch-model-archiver --model-name fcn_resnet_101 --version 1.0 --model-file examples/image_segmenter/fcn/model.py --serialized-file fcn_resnet101_coco-7ecb50ca.pth --handler image_segmenter --extra-files examples/image_segmenter/fcn/fcn.py,examples/image_segmenter/fcn/intermediate_layer_getter.py
(image_seg) ubuntu@ip-172-31-49-104:~$ mv fcn_resnet_101.mar ~/model_store
(image_seg) ubuntu@ip-172-31-49-104:~$ sudo docker run --rm -it -p 7000:8080 -p 7001:8081 -v $(pwd)/model_store:/home/model-server/model-store pytorch/torchserve:latest
(image_seg) ubuntu@ip-172-31-49-104:~$ curl -X POST "http://127.0.0.1:7001/models?initial_workers=2&url=fcn_resnet_101.mar"
{
"status": "Model \"fcn_resnet_101\" Version: 1.0 registered with 2 initial workers"
}
Aprilmhx
ZienZhang6
fclesio
Engineero
Hello!
After I successfully installed the torchserve environment using docker, I tried the examples/image_segmenter that comes with torchserve, but I was never able to successfully register the model.
My local environment libraries are:
Your Environment
Expected Behavior
Based on the docker environment using examples/image_segmenter in torchserve to successfully register the model and get the return result of persons.jpg
Current Behavior
After registering the model with this command:
sudo curl -X POST "http://127.0.0.1:7001/models?initial_workers=2&url=fcn_resnet_101.mar"
get the Error:
{ "code": 500, "type": "InternalServerException", "message": "Failed to start workers for model fcn_resnet_101 version: 1.0" }
Possible Solution
No idea
Steps to Reproduce
Failure Logs [if any]