'DeepLearningClassifier' using GPU

[maherkarim]

Hi everyone,
Thank you for your efforts for this project.
I was trying to test it with huge data more than 10milion records.
I have a GPU in my machine,but every time I am running the code I found that it is using only the CPU!

How can I instruct it to use the GPU?

THanks
Maher

[sharpe5]

What model of GPU are you using?

…

On Tue, 28 Aug 2018 12:09 maherkarim, ***@***.***> wrote: Hi everyone, Thank you for your efforts for this project. I was trying to test it with huge data more than 10milion records. I have a GPU in my machine,but every time I am running the code I found that it is using only the CPU! How can I instruct it to use the GPU? THanks Maher — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#414>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ABOypHU8MK5TmdWGcYQKW5jBFs6oz5msks5uVSStgaJpZM4WPZWH> .

[maherkarim]

Nvidia GV100

[sharpe5]

Wow. Expensive card. Can you send the OS reported specs? https://developer.nvidia.com/nvidia-system-management-interface And Linux or Windows, Python version? Essentially, it would help if there was step-by-step instructions to reproduce the issue.

…

On Tue, 28 Aug 2018 12:50 maherkarim, ***@***.***> wrote: Nvidia GV100 — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#414 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ABOypF0lcW8nf9DCFzSPCjloGHY1btXEks5uVS5JgaJpZM4WPZWH> .

[sharpe5]

Also recommend getting something really simple working on the GPU. Follow some internet tutorials until you are definitely using the GPU for something trivial. This would prove that Python has all the required libraries and setup to use the GPU.

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On Tue, 28 Aug 2018 12:57 DesignREM support, ***@***.***> wrote: Wow. Expensive card. Can you send the OS reported specs? https://developer.nvidia.com/nvidia-system-management-interface And Linux or Windows, Python version? Essentially, it would help if there was step-by-step instructions to reproduce the issue. On Tue, 28 Aug 2018 12:50 maherkarim, ***@***.***> wrote: > Nvidia GV100 > > — > You are receiving this because you commented. > Reply to this email directly, view it on GitHub > <#414 (comment)>, > or mute the thread > <https://github.com/notifications/unsubscribe-auth/ABOypF0lcW8nf9DCFzSPCjloGHY1btXEks5uVS5JgaJpZM4WPZWH> > . >

[maherkarim]

Dear,
Thank you for your feedback, I followed what you have requested, and this is the output

• running simple tensorflow calculation
  

• GPU nvidia-smi output
  

-- Running auto_ml with 1 million records, is not using GPU at all

-- GPU output

*** OS ==> centos 7
** hardware
processor : 0
vendor_id : GenuineIntel
cpu family : 6
model : 85
model name : Intel(R) Core(TM) i7-7800X CPU @ 3.50GHz
stepping : 4
microcode : 0x200004d
cpu MHz : 1200.000
cache size : 8448 KB
physical id : 0
siblings : 12
core id : 0
cpu cores : 6
apicid : 0
initial apicid : 0
fpu : yes
fpu_exception : yes
cpuid level : 22
wp : yes

** memory
MemTotal: 65469328 kB
MemFree: 55991316 kB
MemAvailable: 62970376 kB
Buffers: 2292 kB
Cached: 7050532 kB
SwapCached: 0 kB
Active: 4724248 kB
Inactive: 3262984 kB
Active(anon): 935432 kB
Inactive(anon): 17268 kB
Active(file): 3788816 kB
Inactive(file): 3245716 kB
Unevictable: 0 kB
Mlocked: 0 kB
SwapTotal: 32833532 kB
SwapFree: 32833532 kB
Dirty: 4 kB
Writeback: 0 kB
AnonPages: 934408 kB
Mapped: 115840 kB
Shmem: 18292 kB
Slab: 724144 kB
SReclaimable: 482496 kB
SUnreclaim: 241648 kB
KernelStack: 6800 kB
PageTables: 12628 kB
NFS_Unstable: 0 kB
Bounce: 0 kB
WritebackTmp: 0 kB
CommitLimit: 65568196 kB
Committed_AS: 1877392 kB
VmallocTotal: 34359738367 kB
VmallocUsed: 420368 kB
VmallocChunk: 34358921212 kB
HardwareCorrupted: 0 kB
AnonHugePages: 675840 kB
CmaTotal: 0 kB
CmaFree: 0 kB
HugePages_Total: 0
HugePages_Free: 0
HugePages_Rsvd: 0
HugePages_Surp: 0
Hugepagesize: 2048 kB
DirectMap4k: 1182536 kB
DirectMap2M: 17362944 kB
DirectMap1G: 48234496 kB

hope this will give you some insight

Thanks