From 470d9a5de20f3f6d83eafaea49b412f850dccc55 Mon Sep 17 00:00:00 2001 From: D-X-Y <280835372@qq.com> Date: Thu, 17 Sep 2020 11:00:08 +0000 Subject: [PATCH] Update docs --- docs/NATS-Bench.md | 2 +- docs/NeurIPS-2019-TAS.md | 2 +- lib/nas_201_api/__init__.py | 4 ++-- lib/nas_201_api/api_201.py | 2 +- lib/nas_201_api/api_utils.py | 2 -- 5 files changed, 5 insertions(+), 7 deletions(-) diff --git a/docs/NATS-Bench.md b/docs/NATS-Bench.md index 4028385..2575c91 100644 --- a/docs/NATS-Bench.md +++ b/docs/NATS-Bench.md @@ -31,7 +31,7 @@ To merge the chunks into the original full archive, you can use `cat file_name* | Date | benchmark file (tss) | archive (tss) | full archive (tss) | benchmark file (sss) | archive (sss) | full archive (sss) | |:-----------|:---------------------:|:-------------:|:------------------:|:-------------------------------:|:--------------------------:|:------------------:| -| 2020.08.31 | [NATS-tss-v1_0-3ffb9.pickle.pbz2](https://drive.google.com/file/d/1vzyK0UVH2D3fTpa1_dSWnp1gvGpAxRul/view?usp=sharing) | [NATS-tss-v1_0-3ffb9-simple.tar](https://drive.google.com/file/d/17_saCsj_krKjlCBLOJEpNtzPXArMCqxU/view?usp=sharing) | NATS-tss-v1_0-3ffb9-full | [NATS-sss-v1_0-50262.pickle.pbz2](https://drive.google.com/file/d/1IabIvzWeDdDAWICBzFtTCMXxYWPIOIOX/view?usp=sharing) | [NATS-sss-v1_0-50262-simple.tar](https://drive.google.com/file/d/1scOMTUwcQhAMa_IMedp9lTzwmgqHLGgA/view?usp=sharing) | [NATS-sss-v1_0-50262-full](api.reload(index=12)) | +| 2020.08.31 | [NATS-tss-v1_0-3ffb9.pickle.pbz2](https://drive.google.com/file/d/1vzyK0UVH2D3fTpa1_dSWnp1gvGpAxRul/view?usp=sharing) | [NATS-tss-v1_0-3ffb9-simple.tar](https://drive.google.com/file/d/17_saCsj_krKjlCBLOJEpNtzPXArMCqxU/view?usp=sharing) | [NATS-tss-v1_0-3ffb9-full](https://drive.google.com/drive/folders/17S2Xg_rVkUul4KuJdq0WaWoUuDbo8ZKB?usp=sharing) | [NATS-sss-v1_0-50262.pickle.pbz2](https://drive.google.com/file/d/1IabIvzWeDdDAWICBzFtTCMXxYWPIOIOX/view?usp=sharing) | [NATS-sss-v1_0-50262-simple.tar](https://drive.google.com/file/d/1scOMTUwcQhAMa_IMedp9lTzwmgqHLGgA/view?usp=sharing) | [NATS-sss-v1_0-50262-full](api.reload(index=12)) | 1, create the benchmark instance: diff --git a/docs/NeurIPS-2019-TAS.md b/docs/NeurIPS-2019-TAS.md index c59a9a9..674503b 100644 --- a/docs/NeurIPS-2019-TAS.md +++ b/docs/NeurIPS-2019-TAS.md @@ -25,7 +25,7 @@ We provide some logs at [Google Drive](https://drive.google.com/open?id=1_qUY4DT ## Usage Use `bash ./scripts/prepare.sh` to prepare data splits for `CIFAR-10`, `CIFARR-100`, and `ILSVRC2012`. -If you do not have `ILSVRC2012` data, pleasee comment L12 in `./scripts/prepare.sh`. +If you do not have `ILSVRC2012` data, please comment L12 in `./scripts/prepare.sh`. args: `cifar10` indicates the dataset name, `ResNet56` indicates the basemodel name, `CIFARX` indicates the searching hyper-parameters, `0.47/0.57` indicates the expected FLOP ratio, `-1` indicates the random seed. diff --git a/lib/nas_201_api/__init__.py b/lib/nas_201_api/__init__.py index 0e7a925..e87f2fd 100644 --- a/lib/nas_201_api/__init__.py +++ b/lib/nas_201_api/__init__.py @@ -1,8 +1,8 @@ ##################################################### # Copyright (c) Xuanyi Dong [GitHub D-X-Y], 2019.08 # ##################################################################### -# This API will be updated after 2020.09.16. # -# Please use our new API for NATS-Bench, which is # +# This API will not be updated after 2020.09.16. # +# Please use our new API in NATS-Bench, which is # # more efficient and contains info of more architecture candidates. # ##################################################################### from .api_utils import ArchResults, ResultsCount diff --git a/lib/nas_201_api/api_201.py b/lib/nas_201_api/api_201.py index 49d9a68..8c995c9 100644 --- a/lib/nas_201_api/api_201.py +++ b/lib/nas_201_api/api_201.py @@ -7,7 +7,7 @@ # [2020.02.25] NAS-Bench-201-v1_0-e61699.pth : 6219 architectures are trained once, 1621 architectures are trained twice, 7785 architectures are trained three times. `LESS` only supports CIFAR10-VALID. # [2020.03.16] NAS-Bench-201-v1_1-096897.pth : 2225 architectures are trained once, 5439 archiitectures are trained twice, 7961 architectures are trained three times on all training sets. For the hyper-parameters with the total epochs of 12, each model is trained on CIFAR-10, CIFAR-100, ImageNet16-120 once, and is trained on CIFAR-10-VALID twice. # -# I'm still actively enhancing this benchmark. Please feel free to contact me if you have any question w.r.t. NAS-Bench-201. +# I'm still actively enhancing our benchmark, while for the future benchmark file, please follow news from NATS-Bench (an extended version of NAS-Bench-201). # import os, copy, random, torch, numpy as np from pathlib import Path diff --git a/lib/nas_201_api/api_utils.py b/lib/nas_201_api/api_utils.py index c84f891..358e7c1 100644 --- a/lib/nas_201_api/api_utils.py +++ b/lib/nas_201_api/api_utils.py @@ -7,8 +7,6 @@ # We also define the class ArchResults, which contains all information of a single architecture trained by one kind of hyper-parameters on three datasets. # We also define the class ResultsCount, which contains all information of a single trial for a single architecture. ############################################################################################ -# History: -# [2020.06.30] The first version. # import os, abc, copy, random, torch, numpy as np from pathlib import Path