Closed RTae closed 9 months ago
In case you haven't solved it yet, I create my runners like this:
cml runner launch \
--cloud=gcp \
--cloud-type=n1-highmem-2+nvidia-tesla-t4*2 \
--labels=cml-gpu
That allows for specifiyng any viable number of GPUs.
@CptCaptain Thank you, it work !!
Summary / Background
I would like to use multiple GPU to training my model using CML runner but I could't find a method to set number of GPU. Moreover, when I select a instance with 2 GPU the TPI will rise error about should set number of accelerator to two, but it does't have a argument to set it
Scope