ef86d2e73e7ce03c4184a04a336d96caf661269a,sonnet/python/modules/conv.py,Conv1DTranspose,_build,#Conv1DTranspose#Any#,1292
Before Change
partitioner=self._partitioners.get("w", None),
regularizer=self._regularizers.get("w", None))
tf_out_shape = ((batch_size, 1,) + self._output_shape +
(self.output_channels,))
// Add an extra dimension to the input - a height of 1.
After Change
batch_size_value = inputs.get_shape()[0]
output_shape_value = ((batch_size_value,) + self.output_shape +
(self.output_channels,))
outputs.set_shape(output_shape_value)
return outputs
@property
def output_channels(self):
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 2
Instances Project Name: deepmind/sonnet
Commit Name: ef86d2e73e7ce03c4184a04a336d96caf661269a
Time: 2017-07-03
Author: noreply@google.com
File Name: sonnet/python/modules/conv.py
Class Name: Conv1DTranspose
Method Name: _build
Project Name: tryolabs/luminoth
Commit Name: 0cbd6479c533344201a3a1d631c61f4edc5bdddb
Time: 2018-03-20
Author: joaquin.alori@gmail.com
File Name: luminoth/models/ssd/ssd.py
Class Name: SSD
Method Name: _build
Project Name: NifTK/NiftyNet
Commit Name: ac2a794577087259da7200eefc792dbba40f8600
Time: 2017-11-02
Author: wenqi.li@ucl.ac.uk
File Name: niftynet/contrib/sampler_pairwise/sampler_pairwise.py
Class Name: PairwiseSampler
Method Name: layer_op