1f3da600c20e3376b0bb396bba482b1e90b7883c,i3nception_tf.py,,,#,34
Before Change
unitpy.load_state_dict(state_dict)
out3d = unitpy(input_3d_var)
filter_idx = 5
py_out = py_to_tf_reshape(
out3d.data.numpy())[0][0][:, :, filter_idx].copy()
tf_out = tf_out3dsample[0][0][:, :, filter_idx].copy()
import pdb
pdb.set_trace()
max_v = max(tf_out.max(), py_out.max())
After Change
// Plot slices
filter_idx = 0
img_tf = out_tf_np[0][filter_idx][0]
img_pt = out_pt_np[0][filter_idx][0]
max_v = max(img_tf.max(), img_pt.max())
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 5
Instances
Project Name: hassony2/kinetics_i3d_pytorch
Commit Name: 1f3da600c20e3376b0bb396bba482b1e90b7883c
Time: 2017-11-24
Author: yana.hasson@inria.fr
File Name: i3nception_tf.py
Class Name:
Method Name:
Project Name: Pinafore/qb
Commit Name: e79449afe45f4da6f1756a7d92bdd3cd6618c638
Time: 2018-04-25
Author: sjtufs@gmail.com
File Name: qanta/guesser/dan.py
Class Name: DanGuesser
Method Name: _guess_batch
Project Name: kevinzakka/recurrent-visual-attention
Commit Name: 520e8fb57b890a7249334d9e90c9ad209d0b849f
Time: 2018-02-10
Author: kevinarmandzakka@gmail.com
File Name: modules.py
Class Name: retina
Method Name: foveate