learning-to-learn-by-pytorch
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GPU memory leaks and GPU memory keeps increasing
In the process of program training, GPU memory leaks and GPU memory keeps increasing until out of memory. Can you figure this bug ?
Can you show more details about this bug? I have not encountered this problem.
If we define x as a big 2-D dimensional matrix ( like a image with resolution 1920*1080 ), the GPU memory will increase quickly when optimizing.
I will deal with this problem later.