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Most of the learning time is spent loading data. This makes it impossible to use GPU resources efficiently.
I wonder if this is the right learning state.
I experiment with 224 sizes of images, and the command is as follows.
Most of the learning time is spent loading data. This makes it impossible to use GPU resources efficiently.
I wonder if this is the right learning state.
I experiment with 224 sizes of images, and the command is as follows.
python main_moco.py
-a resnet18 -b 1024
--moco-m-cos --crop-min=.2
--dist-url 'tcp://localhost:10001'
--multiprocessing-distributed --world-size 1 --rank 0
../data/