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ModelZoo
ViT_pytorch
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84d99b46
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84d99b46
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Apr 26, 2023
by
sunxx1
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@@ -35,12 +35,16 @@ wget https://storage.googleapis.com/vit_models/imagenet21k/ViT-B_16.npz
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@@ -35,12 +35,16 @@ wget https://storage.googleapis.com/vit_models/imagenet21k/ViT-B_16.npz
export HIP_VISIBLE_DEVICES=3
export HIP_VISIBLE_DEVICES=3
python3 -m torch.distributed.launch --nproc_per_node=1 train.py --name cifar10-100_500 --dataset cifar10 --model_type ViT-B_16 --pretrained_dir checkpoint/ViT-B_16.npz --train_batch_size 64 --num_steps 500
python3 -m torch.distributed.launch --nproc_per_node=1 train.py --name cifar10-100_500 --dataset cifar10 --model_type ViT-B_16 --pretrained_dir checkpoint/ViT-B_16.npz --train_batch_size 64 --num_steps 500
##
性能和
准确率数据
## 准确率数据
测试数据使用的是cifar10,使用的加速卡是DCU Z100L。
测试数据使用的是cifar10,使用的加速卡是DCU Z100L。
| 卡数 | 性能 | 精度 |
| 卡数 | 精度 |
| :------: | :------: | :------: |
| :------: | :------: |
| 1 | 67.84 samples/s | Best Accuracy=0.3051 |
| 1 | Best Accuracy=0.3051 |
### 历史版本
https://developer.hpccube.com/codes/modelzoo/vit-pytorch
### 参考
### 参考
https://github.com/jeonsworld/ViT-pytorch
https://github.com/jeonsworld/ViT-pytorch
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