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distributed-dtp's Issues

Loss is nan for imagenet32

cmd:

python main.py model=layer_parallel_dtp \
    trainer=layer_parallel \
    scheduler=cosine \
    network=simple_vgg \
    datamodule=imagenet32 \
    datamodule.num_workers=1 \
    trainer.gpus=6 \
    datamodule.batch_size=256 \
    model.hparams.feedback_training_iterations=[25,35,40,60,25] \
    model.hparams.f_optim.lr=0.01 \
    model.hparams.b_optim.momentum=0.9 \
    model.hparams.b_optim.lr=[1e-4,3.5e-4,8e-3,8e-3,0.18]

image

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