Facing error while running Docker on Tensorflow serving image

Question

I have trained a Tensorflow Object detection model. I am trying to make a REST request using the tensorflow serving image on docker. (following instruction from https://github.com/tensorflow/serving )

TESTDATA="$(pwd)/serving/tensorflow_serving/servables/tensorflow/testdata/"

 docker run -t --rm -p 8501:8501 \
    -v "$TESTDATA/my_model:/models/work_place_safety" \
     -e MODEL_NAME=work_place_safety \
     tensorflow/serving &

I am facing below error message-

$ C:\Program Files\Docker\Docker\Resources\bin\docker.exe: Error response from daemon: Mount denied: The source path "C:/Users/Desktop/models/serving/tensorflow_serving/servables/tensorflow/testdata/saved_model_work_place_safety;C" doesn't exist and is not known to Docker. See 'C:\Program Files\Docker\Docker\Resources\bin\docker.exe run --help'.

I wonder why its including ";C" at the end of source path and throwing an error.

Any Help is much appreciated.

Thanks

Answer 1

resolved the issue by adding a / before $ in Git bash.

docker run -t --rm -p 8501:8501 \
    -v /$TESTDATA/my_model:/models/my_model \
     -e MODEL_NAME=my_model \
     tensorflow/serving &

Answer 2

What is the value of my_model. Is it saved_model_work_place_safety.

Are you sure that your Saved Objection Detection Model is in the Folder, saved_model_work_place_safety and that Folder is in the path, $(pwd)/serving/tensorflow_serving/servables/tensorflow/testdata/?

If it is not inside testdata, you should mention the correct path, where saved_model_work_place_safety is present.

Folder structure should be something like this =>

saved_model_work_place_safety => 00000123 or 1556272508 or 1 => .pb file and Variables Folder.