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‎11-14-2019 03:19 AM

HP Recommended
Product: Pavilion 15 - cs2007nv
Operating System: Microsoft Windows 10 (64-bit)

Hello team,

 

i have bought HP Pavilion 15 - cs2007nv Laptop (Core i7 8565U/8 GB/256 GB/GeForce MX250 4 GB) and i cannot run Deep Learning models through Python.

Any idea why this happens?

 

Thanks in advance.

1 ACCEPTED SOLUTION

Accepted Solutions

‎11-15-2019 06:39 AM

HP Recommended
@stkarlos wrote:

Thank you for the immediate response.

However, is there any chance of running these libraries, even with less efficient speed up properties?

Unfortunately not. It is a matter of system requirements.


I am a volunteer forum member. If my suggestion helped you solve your issue, help others by marking that post as the accepted solution. Say thanks by clicking on the Yes button next to the "was this reply helpful?"



View solution in original post

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3 REPLIES 3

‎11-14-2019 07:40 AM

HP Recommended

The GeForce MX250 discrete processor installed in your notebook is not listed as supporting current Cuda versions as high as 10.1, so that is the most likely reason you are having the issues.

 

GeForce GPUs that are numbered 800 and higher do support the CUDA version and toolkit that you need to run the Deep Learning models.


I am a volunteer forum member. If my suggestion helped you solve your issue, help others by marking that post as the accepted solution. Say thanks by clicking on the Yes button next to the "was this reply helpful?"



Was this reply helpful? Yes No

‎11-14-2019 10:09 AM

HP Recommended

Thank you for the immediate response.

However, is there any chance of running these libraries, even with less efficient speed up properties?

Was this reply helpful? Yes No

‎11-15-2019 06:39 AM

HP Recommended
@stkarlos wrote:

Thank you for the immediate response.

However, is there any chance of running these libraries, even with less efficient speed up properties?

Unfortunately not. It is a matter of system requirements.


I am a volunteer forum member. If my suggestion helped you solve your issue, help others by marking that post as the accepted solution. Say thanks by clicking on the Yes button next to the "was this reply helpful?"



Was this reply helpful? Yes No
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