15a3a1f1ce2a7babf62c61f73709c074249ed840,keras/utils/layer_utils.py,,container_from_config,#Any#,18
Before Change
base_layer = get_layer(name, layer_dict)
if hasParams:
shaped_params = []
for param in params:
data = np.asarray(param.get("data"))
shape = tuple(param.get("shape"))
shaped_params.append(data.reshape(shape))
base_layer.set_weights(shaped_params)
return base_layer
After Change
def container_from_config(original_layer_dict):
layer_dict = copy.deepcopy(original_layer_dict)
name = layer_dict.get("name")
if name == "Merge":
mode = layer_dict.get("mode")
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances Project Name: keras-team/keras
Commit Name: 15a3a1f1ce2a7babf62c61f73709c074249ed840
Time: 2015-07-30
Author: francois.chollet@gmail.com
File Name: keras/utils/layer_utils.py
Class Name:
Method Name: container_from_config
Project Name: jhfjhfj1/autokeras
Commit Name: 5b3af9ff43bc61f8034f1202a2b57f21c8ee3771
Time: 2018-08-01
Author: jin@tamu.edu
File Name: autokeras/graph.py
Class Name: Graph
Method Name: _insert_new_layers