e24625095a33a5c9a2d016018203938e9bb2ccbf,keras/backend/cntk_backend.py,,rnn,#Any#Any#Any#Any#Any#Any#Any#Any#,1308
Before Change
while j < len(constants):
if isinstance(constants[j], list):
i = 0
while i < len(constants[j]) :
if _get_dynamic_axis_num(constants[j][i]) == 1:
constants[j][i] = C.sequence.broadcast_as(constants[j][i], inputs)
i += 1
After Change
rnn_constants = []
for constant in constants:
if isinstance(constant, list):
new_c = []
for c in constant:
if _get_dynamic_axis_num(c) == 1:
new_c.append(C.sequence.broadcast_as(c, rnn_inputs))
else:
new_c.append(c)
rnn_constants.append(new_c)
else:
if _get_dynamic_axis_num(constant) == 1:
rnn_constants.append(C.sequence.broadcast_as(constant, rnn_inputs))
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances Project Name: keras-team/keras
Commit Name: e24625095a33a5c9a2d016018203938e9bb2ccbf
Time: 2018-04-14
Author: nisargjhaveri@users.noreply.github.com
File Name: keras/backend/cntk_backend.py
Class Name:
Method Name: rnn
Project Name: NifTK/NiftyNet
Commit Name: 5af1994def9a52fe1ffd2847b2519f1e27cfbc64
Time: 2017-08-12
Author: wenqi.li@ucl.ac.uk
File Name: niftynet/io/misc_io.py
Class Name:
Method Name: do_resampling
Project Name: ClimbsRocks/auto_ml
Commit Name: 532096f9f9a96f689ee644cdb3560def98a4c410
Time: 2016-08-20
Author: ClimbsBytes@gmail.com
File Name: auto_ml/predictor.py
Class Name: Predictor
Method Name: _get_xgb_feat_importances