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rm PD ; update NAS-Bench-102 baselines

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D-X-Y
2019-12-23 11:19:09 +11:00
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README.md
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@@ -13,7 +13,7 @@ More NAS resources can be found in [Awesome-NAS](https://github.com/D-X-Y/Awesom
## Requirements and Preparation
Please install `PyTorch>=1.1.0`, `Python>=3.6`, and `opencv`.
Please install `PyTorch>=1.2.0`, `Python>=3.6`, and `opencv`.
The CIFAR and ImageNet should be downloaded and extracted into `$TORCH_HOME`.
Some methods use knowledge distillation (KD), which require pre-trained models. Please download these models from [Google Driver](https://drive.google.com/open?id=1ANmiYEGX-IQZTfH8w0aSpj-Wypg-0DR-) (or train by yourself) and save into `.latent-data`.