Hi, guys,
I am learning about DeepLabV3+ model these days.
And I meet a strange phenomenon that using the same batch size in evaluation trigger “RuntimeError: CUDA out of memory.”, which is normal in training.
But the inference speed seems quite faster than the training.
Any idea or answer will be appreciated!