From 7b05594edbe0b32f3a0d9f71d413763c27dd9fdc Mon Sep 17 00:00:00 2001 From: D-X-Y <280835372@qq.com> Date: Sat, 21 Dec 2019 11:28:41 +1100 Subject: [PATCH] update NAS-Bench-102 --- NAS-Bench-102.md | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/NAS-Bench-102.md b/NAS-Bench-102.md index d4e2213..dd75cc9 100644 --- a/NAS-Bench-102.md +++ b/NAS-Bench-102.md @@ -12,9 +12,13 @@ In this Markdown file, we provide: Note: please use `PyTorch >= 1.2.0` and `Python >= 3.6.0`. -The data file of NAS-Bench-102 can be downloaded from [Google Drive](https://drive.google.com/open?id=1SKW0Cu0u8-gb18zDpaAGi0f74UdXeGKs) or [Baidu-Wangpan]. +### Preparation and Download + +The benchmark file of NAS-Bench-102 can be downloaded from [Google Drive](https://drive.google.com/open?id=1SKW0Cu0u8-gb18zDpaAGi0f74UdXeGKs) or [Baidu-Wangpan]. +You can move it to anywhere you want and send its path to our API for initialization. The training and evaluation data used in NAS-Bench-102 can be downloaded from [Google Drive](https://drive.google.com/open?id=1L0Lzq8rWpZLPfiQGd6QR8q5xLV88emU7) or [Baidu-Wangpan]. +It is recommended to put these data into `$TORCH_HOME` (`~/.torch/` by default). If you want to generate NAS-Bench-102 or similar NAS datasets or training models by yourself, you need these data. ## How to Use NAS-Bench-102