The usage of my GPU memory is always low.
Whatever how much my batch size increased, it is using about 224MB all the time, which mays my model’s size?
I used .cuda() for the input_data, model and labels.
And I check the data and the ‘is_cuda’ is True, but the GPU memory is still low. (BTW I read the data using torch.from_numpy),
And the running of  every epoch of my model really fast …
The GPU usage rate is OK, which is range from 40% to 10%.
So what’s wrong with this?
Any other way to check this problem? Thanks.