Comments (5)
Interestingly I just re-ran the notebook today and it ran in less than a minute. There seems to be some variability in the amount of time required for this step.
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This may be a different issue than what Jaya experienced. At times, when I run this notebook, it can get stuck in the section at the bottom that looks to compute average time information for multiple images. I've had to restart the kernel, run everything again, and then it works. Fidan, who suggested the workaround, said she had similar problems. Now, a similar problem occurs with the corresponding notebook in MLAKSDeployment (notebook 04).
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OK, will try to reproduce. Thanks
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OK, if it is not persistent or reproducible then it will be hard to address. I will leave this here for now but I am currently leaning to attributing this to transient behaviour and possible resource contention on the VM running things.
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@marabout2015 If you think your issue is different please open another issue
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Related Issues (20)
- define _base64img_to_numpy function in 01_DevelopModelDriver
- Remove duplicate code on 01_DevelopModelDriver flow and take out main
- Take out print statement or add logging 01_DevelopModelDriver
- Add Tutorial Set Up Notes HOT 4
- Add instructions on operationalizing in commercial environment HOT 1
- Add DSVM requirements HOT 2
- Add in link for installing Docker on a Linux DSVM HOT 2
- conda env remove HOT 2
- docker permission issues HOT 2
- Issue with image_name HOT 3
- Notebook 07_TearDown typo HOT 1
- kubectl get node debugging for notebook-4 HOT 2
- Docker EE vs CE HOT 1
- NVIDIA GPU resource change HOT 1
- new AKS cluster provisioned with NC series VMs do not come with the connector that allows scheduling GPU resources HOT 1
- No module named 'tensorflow' HOT 1
- Convert payload to same format as Keras example HOT 1
- Change the markdown 04_DeployOnAKS to match Keras HOT 1
- Fix img_url_to_json in testing_utilities.
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