Hi, I have a environment which has multiple gpu devices (1080ti 2way).
So, I tried run training with -m 2 options. But it uses only first gpu devices.
Even I set parameter max_devices with 2 to gen_backend() statement, it still uses only 1 devices. (with increased batch_size, it throws memory error instead use second device)
For your information my environment settings are below:
os: ubuntu 16.04
cuda version: 8.0
gpu devices: 1080ti 2way.
cpu device: intel skylake i7.
virtual env: anaconda (python3).
Hi, I have a environment which has multiple gpu devices (1080ti 2way). So, I tried run training with
-m 2
options. But it uses only first gpu devices. Even I set parametermax_devices
with 2 togen_backend()
statement, it still uses only 1 devices. (with increased batch_size, it throws memory error instead use second device) For your information my environment settings are below: os: ubuntu 16.04 cuda version: 8.0 gpu devices: 1080ti 2way. cpu device: intel skylake i7. virtual env: anaconda (python3).