I am testing pix2pixHD. It works on my local machine, but it raise an error in a cloud server machine. The strange think is that the server machine is more powerful.
Here the details:
GPU: Geforce GTX 1050 - 4GB GPU Memory
Pytorch version: 0.4.0
GPU: Geforce GTX 1080 - 8GB GPU Memory
Pytorch version: 1.0
In the server machine I get:
RuntimeError: CUDA out of memory. Tried to allocate 256.00 MiB (GPU 0; 7.93 GiB total capacity; 7.27 GiB already allocated; 92.19 MiB free; 33.05 MiB cached)
I run nvidia-smi before launch the script and I get:
No running process found Memory usage: 0Mib/8119Mib
How that is possible?
Could be the difference in Pytorch and Cuda version?