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Thank you for the nice tutorial.
I was able to change the code in cnn-benchmarks.lua to run it for multi-GPU system(8 GPU).
It gave me a speed-up of 3x.
I am facing issues with "Resnet-x" model weights. I am able to work with the Alexnet, Googlenet, VGG16 and VGG19 model weights but Resnet is giving me problem for 224x224 image size.
Can you please let me know about it.
Also, I am not able to find model weight for inception-V3 graph. Can you add the Inception V3 to the models folder.
Thank you for your help.
Regards,
Bhushan
The text was updated successfully, but these errors were encountered:
Hello Johnson,
Thank you for the nice tutorial.
I was able to change the code in cnn-benchmarks.lua to run it for multi-GPU system(8 GPU).
It gave me a speed-up of 3x.
I am facing issues with "Resnet-x" model weights. I am able to work with the Alexnet, Googlenet, VGG16 and VGG19 model weights but Resnet is giving me problem for 224x224 image size.
Can you please let me know about it.
Also, I am not able to find model weight for inception-V3 graph. Can you add the Inception V3 to the models folder.
Thank you for your help.
Regards,
Bhushan
The text was updated successfully, but these errors were encountered: