f3c5b75e59717c017fa3779b3f29b725e4ac6d9b,tests/test_retina.py,,main,#,38

Before Change


        imgs.append(torch.from_numpy(img))
    imgs = Variable(torch.cat(imgs))

    loc = Variable(torch.Tensor([[0., 0.], [0., 0.]]))

    if TEST_GLIMPSE:

After Change


    imgs = Variable(torch.cat(imgs))

    loc = torch.Tensor(2, 2).uniform_(-1, 1)
    loc = Variable(loc)

    if TEST_GLIMPSE:

        ret = retina(g=64, k=3, s=2)
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 3

Instances


Project Name: kevinzakka/recurrent-visual-attention
Commit Name: f3c5b75e59717c017fa3779b3f29b725e4ac6d9b
Time: 2018-01-24
Author: kevinarmandzakka@gmail.com
File Name: tests/test_retina.py
Class Name:
Method Name: main


Project Name: kevinzakka/recurrent-visual-attention
Commit Name: ec6113b96d65d4edb3da8aac88796bbd99fc9478
Time: 2018-01-22
Author: kevinarmandzakka@gmail.com
File Name: trainer.py
Class Name: Trainer
Method Name: train_one_epoch


Project Name: THUNLP-MT/THUMT
Commit Name: 4a471fc393aefa3c5c8e6670a900f93d6ba760cd
Time: 2018-04-08
Author: playinf@stu.xmu.edu.cn
File Name: thumt/utils/optimize.py
Class Name:
Method Name: create_train_op