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This repository has been archived by the owner on Jul 19, 2024. It is now read-only.
I am trying to deploy MNIST handwritten digit classification using TensorFlow for getting started. I already set up my environment ad tested basic tempsensor module which is very very basic.
Now when I just run command:
$ az ml service create realtime -m my_ConvNet_MNIST_model.meta -d my_ConvNet_MNIST_model.data-00001-of-00000 -d my_ConvNet_MNIST_model.index -d checkpoint -f webservice_driver.py -n [your service name] -r python -c conda_dependencies.yml
Hi
I am trying to deploy MNIST handwritten digit classification using TensorFlow for getting started. I already set up my environment ad tested basic tempsensor module which is very very basic.
Now when I just run command:
$ az ml service create realtime -m my_ConvNet_MNIST_model.meta -d my_ConvNet_MNIST_model.data-00001-of-00000 -d my_ConvNet_MNIST_model.index -d checkpoint -f webservice_driver.py -n [your service name] -r python -c conda_dependencies.yml
with proper service name getting following error:
{'Error': AzureException(ProtocolError('Connection aborted.', timeout('The write operation timed out',)),), 'Azure-cli-ml Version': '0.1.0a27.post3'}
I think it is because data is big and it just times out. But I am new to this world and don't know how to fix it :(
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