unable to install tensorflow model server

Question

I am trying to deploy my model on tensorflow serving. But I am facing issue with the installation of tensorflow model server itself. Do I need to install anything else before model server can be installed? I am using python v3.6 and tensorflow version 1.12.0 currently on VM.

conda install tensorflow-model-server

pip install tensorflow-model-server

Below are the two ways using which I am trying to install:

using conda install which gives me below error. Solving environment: failed PackagesNotFoundError: The following packages are not available from current channels: tensorflow-model-server
using pip which is says: Collecting tensorflow-model-server Could not find a version that satisfies the requirement tensorflow-model-server (from versions: ) No matching distribution found for tensorflow-model-server

s3nh · Accepted Answer · 2019-07-29 10:53:56Z

6

Did you try to follow instruction that are provide into documentation?

At very first, you should try to Add Tensorflow Service as package source using instructions as below


echo "deb [arch=amd64] http://storage.googleapis.com/tensorflow-serving-apt stable tensorflow-model-server tensorflow-model-server-universal" | sudo tee /etc/apt/sources.list.d/tensorflow-serving.list && \
curl https://storage.googleapis.com/tensorflow-serving-apt/tensorflow-serving.release.pub.gpg | sudo apt-key add -


# then install 

apt-get update && apt-get install tensorflow-model-server

For more information, please look at link below:

Tensorflow Serving doc

answered Jul 29, 2019 at 10:53

s3nh

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2 Comments

vriyal Over a year ago

Thanks @s3nh .....I am using Windows Server 2016 datacenter as my virtual machine. .. could you please let me know how (sudo on Windows) to run this on cmd/anaconda prompt?

s3nh Over a year ago

as documentation said, the simplest way to use serving is to use prebuilt docker images. You can find step-by-step tutorial here: tensorflow.org/tfx/serving/docker

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