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[booster] fixed the torch ddp plugin with the new checkpoint api (#3442)
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@@ -2,10 +2,10 @@
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## 🚀 Quick Start
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This example provides a training script and and evaluation script. The training script provides a an example of training ResNet on CIFAR10 dataset from scratch.
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This example provides a training script and an evaluation script. The training script provides an example of training ResNet on CIFAR10 dataset from scratch.
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- Training Arguments
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- `-r, `--resume`: resume from checkpoint file path
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- `-r`, `--resume`: resume from checkpoint file path
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- `-c`, `--checkpoint`: the folder to save checkpoints
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- `-i`, `--interval`: epoch interval to save checkpoints
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- `-f`, `--fp16`: use fp16
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@@ -41,4 +41,4 @@ Expected accuracy performance will be:
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| --------- | ------------------------ | --------------------- | --------------------- |
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| ResNet-18 | 85.85% | 85.03% | 85.12% |
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**Note: the baseline is a adapted from the [script](https://pytorch-tutorial.readthedocs.io/en/latest/tutorial/chapter03_intermediate/3_2_2_cnn_resnet_cifar10/) to use `torchvision.models.resnet18`**
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**Note: the baseline is adapted from the [script](https://pytorch-tutorial.readthedocs.io/en/latest/tutorial/chapter03_intermediate/3_2_2_cnn_resnet_cifar10/) to use `torchvision.models.resnet18`**
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