da9e36bf6a332378e4dbe46e0ad116996811637e,neuron/layers.py,VecInt,call,#VecInt#Any#,190
Before Change
loc_shift = tf.concat(loc_shift_lst, -1)
// map transform across batch
return tf.map_fn(self._single_int, loc_shift, dtype=tf.float32)
def _single_int(self, inputs):
vel = inputs
After Change
loc_shift = tf.concat(loc_shift_lst, -1)
// map transform across batch
out = tf.map_fn(self._single_int, loc_shift, dtype=tf.float32)
out._keras_shape = inputs._keras_shape
return out
def _single_int(self, inputs):
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances
Project Name: adalca/neuron
Commit Name: da9e36bf6a332378e4dbe46e0ad116996811637e
Time: 2018-11-15
Author: adalca@mit.edu
File Name: neuron/layers.py
Class Name: VecInt
Method Name: call
Project Name: adalca/neuron
Commit Name: 6d7df1488515a1a916613308e74afa0a8b685db8
Time: 2020-07-28
Author: mhoffmann@mgh.harvard.edu
File Name: neuron/layers.py
Class Name: SpatialTransformer
Method Name: call
Project Name: fizyr/keras-retinanet
Commit Name: 026623c523f41bc04d6193dd1c5fe58953c2fe98
Time: 2020-07-28
Author: bodenstein@soccerwatch.tv
File Name: keras_retinanet/layers/filter_detections.py
Class Name: FilterDetections
Method Name: call