- save resnet50 as as MAT file
- attach the MAT file when submitting the job
- have a load MAT file command in the function you're submitting.
train a deep learning model (resnet-50 network) on a remote HPC cluster
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Commented: EK_47 on 14 Oct 2022
I am trying to run a code, which uses a pre-trained ResNet-50 network, on a remote HPC cluster by submitting batch GPU jobs. I get the following error at this line:
net = resnet50
Error using resnet50
resnet50 requires the Deep Learning Toolbox Model for ResNet-50 Network support
package for the pretrained weights. To install this support package, use the <a
'tripwire')">Add-On Explorer</a>. To obtain the untrained layers, use
resnet50('Weights','none'), which does not require the support package.
It seems the Deep Learning Toolbox Model for ResNet-50 Network add-on is not installed on the cluster. How can I install this add-on on it?
David Willingham on 14 Oct 2022
Just to confirm, you're sending batch jobs to a HPC cluster that has MATLAB parallel server installed?
If so, one option to try would be:
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