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Azure ML Studio Deploy: test call return 'GatewayTimeout' and Cannot create inference RRS feed

  • Question

  • Hello, 

    I'm using Azure ML Studio to set a ML pipeline by importing my own python script through the "Execute Python Script" module. I submit the pipeline and the experience ends correctly without issues, however when I want to create an inference (real-time or batch) I get an error saying "Cannot create inference because there is no model on this pipeline".

    And when I add the Input and Output Webservice modules manually and clone the pipeline as suggested in Lu Zhan reply in the Stackoverflow Thread, then press Deploy, it works but in the end of the deployment I receive the following error "Service status is healthy, but test call return 'GatewayTimeout'". Even when I go to the pipeline endpoint to test the deployment I get some errors and I couldn't test it.

    Note that the execution time of the whole experience is around 8 minutes  

    Can anyone help please to solve these issues ?

    PS: I couldn't put images and links since my profil is not verified yet.

    Thanks.

    Best regards,

    Monday, October 26, 2020 11:13 AM