iicd/naswot
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Merge branch 'master' of github.com:BayesWatch/nas-without-training

Browse Source
This commit is contained in:
jack-willturner
2020-06-03 15:42:24 +01:00
parent e5d7a944c9 e34c96a633
commit 6f97d1be37
4 changed files with 29 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

21
LICENCE Normal file
View File

@@ -0,0 +1,21 @@
MIT License
Copyright (c) 2020 Anonymous Authors
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

2
README.md
View File

@@ -12,3 +12,5 @@ conda env create -f environment.yml
conda activate nas-wot conda activate nas-wot
./reproduce.sh ./reproduce.sh
``` ```
The code is licensed under the MIT licence.

8
reproduce.sh
View File

@@ -1,4 +1,4 @@
python search.py --dataset cifar10 python search.py --dataset cifar10 --data_loc '../datasets/cifar10'
python search.py --dataset cifar10 --trainval python search.py --dataset cifar10 --trainval --data_loc '../datasets/cifar10'
python search.py --dataset cifar100 python search.py --dataset cifar100 --data_loc '../datasets/cifar100'
python search.py --dataset ImageNet16-120 python search.py --dataset ImageNet16-120 --data_loc '../datasets/ImageNet16'

4
search.py
View File

@@ -55,7 +55,7 @@ def get_batch_jacobian(net, x, target, to, device, args=None):
return jacob, target.detach() return jacob, target.detach()
def evidenceapprox_eval_score(jacob, labels=None): def eval_score(jacob, labels=None):
corrs = np.corrcoef(jacob) corrs = np.corrcoef(jacob)
v, _ = np.linalg.eig(corrs) v, _ = np.linalg.eig(corrs)
k = 1e-5 k = 1e-5
@@ -122,7 +122,7 @@ for N in runs:
jacobs = jacobs.reshape(jacobs.size(0), -1).cpu().numpy() jacobs = jacobs.reshape(jacobs.size(0), -1).cpu().numpy()
try: try:
s = evidenceapprox_eval_score(jacobs, labels) s = eval_score(jacobs, labels)
except Exception as e: except Exception as e:
print(e) print(e)
s = np.nan s = np.nan