Does @jit run a python code on the gpu if we do not explicitly mention a target?

[Shatadeep Banerjee]

I have a python code I am trying to accelerate using Cuda. I have used the @jit function. How do I know if the code is actually being run on the gpu? Is there any way to check/verify that?

[Max Linke]

Hi

It is impossible from your mail to say if your code runs on a CPU. I
assume you will import the `jit` decorator from a library like theano or
numba. You should ask on their mailing lists directly if they can help you.

best Max

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[Jérôme Kieffer]

run nvidia-smi and search for a (new) Python process allocating memory on the GPU.

HTH

Jerome

[Shatadeep Banerjee]

Hi Jerome

Thanks fro replying. I did run nvidia-smi, but I got the following error:
'nvidia-smi' is not recognized as an internal or external command, operable program or batch file.

Do you know a workaround? Thanks a lot!

[Jérôme Kieffer]

On Mon, 30 Jan 2017 22:38:00 -0800 (PST)
Shatadeep Banerjee <shatadeep...@gmail.com> wrote:

> Hi Jerome
> Thanks fro replying. I did run nvidia-smi, but I got the following error:
> 'nvidia-smi' is not recognized as an internal or external command, operable
> program or batch file.
> Do you know a workaround? Thanks a lot!

Install nvidia-smi it is part of the cuda toolkit or the nvidia driver.
On debian it has its own package. This tool is the equivalent of "top"
for the nvidia GPU.

I guess AMD has an equivalent tool, but I have never heard of an
equivalent for Intel's IGP.

HTH

Jerome