a637960fab61b66848a36e6a5caf0204c155af01,keras/engine/sequential.py,Sequential,add,#Sequential#Any#,94
Before Change
"Found: " + str(layer))
if not self.outputs:
// First layer in model: check that it is an input layer.
if not isinstance(layer, (InputLayer, legacy_layers.Merge) ):
// Create an input layer.
// First, we need to infer its expected input shape and dtype.
if isinstance(layer, (Model, Sequential)):
After Change
"For multi-output layers, "
"use the functional API.")
self.outputs = [output_tensor]
if self.inputs:
self.build()
else:
self._layers.append(layer)
def pop(self):
Removes the last layer in the model.
// Raises
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances Project Name: keras-team/keras
Commit Name: a637960fab61b66848a36e6a5caf0204c155af01
Time: 2018-05-01
Author: francois.chollet@gmail.com
File Name: keras/engine/sequential.py
Class Name: Sequential
Method Name: add
Project Name: tensorlayer/tensorlayer
Commit Name: 48ca51e099b5b492aba7b260f3895a97aca36e3a
Time: 2019-03-15
Author: 37874862+warshallrho@users.noreply.github.com
File Name: tensorlayer/layers/convolution/expert_conv.py
Class Name: Conv1dLayer
Method Name: __init__
Project Name: tensorlayer/tensorlayer
Commit Name: 48ca51e099b5b492aba7b260f3895a97aca36e3a
Time: 2019-03-15
Author: 37874862+warshallrho@users.noreply.github.com
File Name: tensorlayer/layers/convolution/expert_conv.py
Class Name: Conv3dLayer
Method Name: __init__