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ModelZoo
SOLOv2-pytorch
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488e7333
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488e7333
authored
Dec 19, 2018
by
Patrick Liu
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GitHub
Dec 19, 2018
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Update TECHNICAL_DETAILS.md
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TECHNICAL_DETAILS.md
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488e7333
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@@ -96,4 +96,4 @@ Each process keeps an isolated model, data loader, and optimizer.
Model parameters are only synchronized once at the begining.
After a forward and backward pass, gradients will be allreduced among all GPUs,
and the optimizer will update model parameters.
Since the gradients are all
reduced, the model parameter stays the same for all processes after the iteration.
Since the gradients are allreduced, the model parameter stays the same for all processes after the iteration.
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