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unable to install tensorflow model server #2

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vriyal opened this issue Jul 26, 2019 · 2 comments
Open

unable to install tensorflow model server #2

vriyal opened this issue Jul 26, 2019 · 2 comments

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@vriyal
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vriyal commented Jul 26, 2019

Hi Himanshu,
Thanks for the article on medium. I was 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. Below are the two ways using which I am trying to install:

  1. using conda install which gives me below error.
    Solving environment: failed

PackagesNotFoundError: The following packages are not available from current channels:

  • tensorflow-model-server

2,. 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

Please let me know if any insights on this.

@himanshurawlani
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You can refer to the installation guide here: https://www.tensorflow.org/tfx/serving/setup

@Sylvia1018
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Hi Himanshu,
Thanks for the article on medium. I was 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. Below are the two ways using which I am trying to install:

  1. using conda install which gives me below error.
    Solving environment: failed

PackagesNotFoundError: The following packages are not available from current channels:

  • tensorflow-model-server

2,. 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

Please let me know if any insights on this.

Also you might try the docker

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