STEPS
-
Click on Help menu
-
Select Enter License
-
Then paste given KEY given at bottom
-
Finally click on Use License
## Sublime Text 3.1.1 Serial key build is 3176 | |
—– BEGIN LICENSE —– | |
sgbteam | |
Single User License | |
EA7E-1153259 | |
8891CBB9 F1513E4F 1A3405C1 A865D53F | |
115F202E 7B91AB2D 0D2A40ED 352B269B | |
76E84F0B CD69BFC7 59F2DFEF E267328F | |
215652A3 E88F9D8F 4C38E3BA 5B2DAAE4 |
## Sublime Text 3 Serial key build is 3103 | |
—– BEGIN LICENSE —– | |
Michael Barnes | |
Single User License | |
EA7E-821385 | |
8A353C41 872A0D5C DF9B2950 AFF6F667 | |
C458EA6D 8EA3C286 98D1D650 131A97AB | |
AA919AEC EF20E143 B361B1E7 4C8B7F04 | |
B085E65E 2F5F5360 8489D422 FB8FC1AA |
STEPS
Click on Help menu
Select Enter License
Then paste given KEY given at bottom
Finally click on Use License
""" | |
Create train, valid, test iterators for CIFAR-10 [1]. | |
Easily extended to MNIST, CIFAR-100 and Imagenet. | |
[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4 | |
""" | |
import torch | |
import numpy as np |
import torch | |
import torch.nn as nn | |
def log_sum_exp(x): | |
# See implementation detail in | |
# http://timvieira.github.io/blog/post/2014/02/11/exp-normalize-trick/ | |
# b is a shift factor. see link. | |
# x.size() = [N, C]: | |
b, _ = torch.max(x, 1) |
A package management system which allows installation to non-system location.
jumbo 是一个适用于百度测试机环境的包管理工具, 使用它可以方便地管理各种软件包. 真的, 不会再有比这个更方便的管理工具了!