ec6113b96d65d4edb3da8aac88796bbd99fc9478,trainer.py,Trainer,train_one_epoch,#Trainer#,137
Before Change
img, target = Variable(img), Variable(target)
// initialize location and hidden state vectors
l_t = Variable(
torch.Tensor(
self.batch_size, 2
).uniform_(-1, 1)
)
h_t = Variable(
torch.zeros(self.batch_size, self.hidden_size)
)
self.locs = []
After Change
// initialize location and hidden state vectors
h_t = torch.zeros(self.batch_size, self.hidden_size)
l_t = torch.Tensor(self.batch_size, 2).uniform_(-1, 1)
h_t, l_t = Variable(h_t), Variable(l_t)
for t in range(self.num_glimpses - 1):
// forward pass through model
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances 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: kevinzakka/recurrent-visual-attention
Commit Name: a38ac8958ebf1c61a10c4d5320f1e31d3d0b73dd
Time: 2020-05-23
Author: kevinarmandzakka@gmail.com
File Name: trainer.py
Class Name: Trainer
Method Name: reset
Project Name: r9y9/wavenet_vocoder
Commit Name: 0a8e27413d721bf8d753e5e6061cc24f5bf6474f
Time: 2018-05-04
Author: zryuichi@gmail.com
File Name: wavenet_vocoder/mixture.py
Class Name:
Method Name: sample_from_discretized_mix_logistic