19902f8c6a7884b0d34bf1fa3d082027d6e46bff,paysage/backends/pytorch_backend/nonlinearity.py,,,#,1

Before Change

After Change

import numpy, torch

EPSILON = numpy.finfo(numpy.float32).eps
LOG2 = 0.6931471805599453

def tabs(x):
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 5

Instances


Project Name: drckf/paysage
Commit Name: 19902f8c6a7884b0d34bf1fa3d082027d6e46bff
Time: 2017-02-22
Author: charleskennethfisher@gmail.com
File Name: paysage/backends/pytorch_backend/nonlinearity.py
Class Name:
Method Name:


Project Name: mne-tools/mne-python
Commit Name: 544989c7ff9922e04bddad72c1b13156ce344ace
Time: 2019-02-15
Author: alexandre.gramfort@m4x.org
File Name: mne/rank.py
Class Name:
Method Name: _estimate_rank_from_s


Project Name: drckf/paysage
Commit Name: 19902f8c6a7884b0d34bf1fa3d082027d6e46bff
Time: 2017-02-22
Author: charleskennethfisher@gmail.com
File Name: paysage/backends/pytorch_backend/matrix.py
Class Name:
Method Name: