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Here, argument vt_world_size denotes the number of virtual GPUs (simulating) on each physical GPU. It can displace all the normal BatchNorm in the model from TorchVision by a simple step: from torchvision. models. resnet import resnet50 from DistributedBatchNorm. py import BatchNorm1d as DistributedBatchNorm2d BatchNorm2d = DistBatchNorm2d ( vt. the BatchNorm2d layer applies normalization on the inputs to have zero mean and unit variance and increase the network accuracy. ... In PyTorch, the neural network package contains various loss functions that form the building blocks of deep neural networks. In this tutorial, you will use a Classification loss function based on Define the loss.

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