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This repository has been archived by the owner on Jan 13, 2022. It is now read-only.
Hi - I think this may have issues running on AWS as AWS offers instances with GRID K520 with compute capability of only 3. Here's the output of the device query on g2.8xlarge instance type:
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.5, CUDA Runtime Version = 7.5, NumDevs = 4, Device0 = GRID K520, Device1 = GRID K520, Device2 = GRID K520, Device3 = GRID K520
I am able to train the model, but not test it as I run into an issue similar to the one described here:
I get an error "invalid device function" which according to the thread results from only 3.5 and up being supported. Just wanted to know if there was a work around. Thanks!
The text was updated successfully, but these errors were encountered:
Hi - I think this may have issues running on AWS as AWS offers instances with GRID K520 with compute capability of only 3. Here's the output of the device query on g2.8xlarge instance type:
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.5, CUDA Runtime Version = 7.5, NumDevs = 4, Device0 = GRID K520, Device1 = GRID K520, Device2 = GRID K520, Device3 = GRID K520
I am able to train the model, but not test it as I run into an issue similar to the one described here:
https://groups.google.com/forum/#!msg/torch7/aO7Q6A2RxHs/x5CtTh_mCQAJ
I get an error "invalid device function" which according to the thread results from only 3.5 and up being supported. Just wanted to know if there was a work around. Thanks!
The text was updated successfully, but these errors were encountered: