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  1. Red Hat OpenShift Data Science
  2. RHODS-8874

RHODS should list support for TensorFlow models on OVMS in 2022.3+

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    • 1.28.0
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    • ML Serving Sprint 1.28, ML Serving Sprint 1.29

      Description of problem:

      In the dashboard and servingruntime, OVMS doesn't list support for TensorFlow, despite it being present in 2022.3-release

      Prerequisites (if any, like setup, operators/versions):

      Steps to Reproduce

      1. Install RHODS
      2. Attempt to create a model through the dashboard
      3. Notice there is no option for TensorFlow as the framework

      Actual results:

      TensorFlow not shown

      Expected results:

      TensorFlow shown as an option

      Reproducibility (Always/Intermittent/Only Once):

      Always

      Build Details:

      1.27

      Workaround:

      This can be manually added to the servingruntime

      Additional info:

            lferrnan@redhat.com Lucas Fernandez Aragon
            spryor@redhat.com Sean Pryor
            Luca Giorgi Luca Giorgi
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              Created:
              Updated:
              Resolved: