Comments (3)
from randwirenn.
I just used pytorch nn.DataParallel
to run on multi-GPU and expanded the batch size to 420.
I referred 1 epoch as running through the train dataset. As for you, 1 epoch means 10k steps.
from randwirenn.
I see. Then for my case, it would have took roughly 1.3 hours to run a single epoch.
from randwirenn.
Related Issues (13)
- Is it available to initial the weight zero? HOT 2
- How to change the output channels? HOT 4
- Change train/evaluation process & learning rate scheduler HOT 2
- in_degree and out_degree HOT 5
- Experiment setups? HOT 2
- accuracy
- how to get the neural network diagram HOT 1
- NodeOp should not have agg. weight when input_node
- Performance Gap
- a better implementation HOT 1
- Critical: node index assignment of BA, WS should not be completely random
- RandWireNN as backbone of Faster RCNN HOT 4
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from randwirenn.