e49916888d5099061bd73dc5aa1e86afe93589f5,keras/engine/topology.py,Container,get_config,#Container#,2285
Before Change
layer_config = layer.get_config()
filtered_inbound_nodes = []
for original_node_index, node in enumerate(layer.inbound_nodes):
node_key = layer.name + "_ib-" + str(original_node_index)
if node_key in self.container_nodes:
// The node is relevant to the model:
// add to filtered_inbound_nodes.
if node.arguments:
After Change
layer = self.input_layers[i]
node_index = self.input_layers_node_indices[i]
node_key = self._node_key(layer, node_index)
if node_key not in self.container_nodes:
continue
new_node_index = node_conversion_map[node_key]
tensor_index = self.input_layers_tensor_indices[i]
model_inputs.append([layer.name, new_node_index, tensor_index])
config["input_layers"] = model_inputs
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances Project Name: keras-team/keras
Commit Name: e49916888d5099061bd73dc5aa1e86afe93589f5
Time: 2017-08-15
Author: jorgecarleitao@gmail.com
File Name: keras/engine/topology.py
Class Name: Container
Method Name: get_config
Project Name: OpenNMT/OpenNMT-py
Commit Name: 5226e0bcdcb42b2d2d8806134599b70a5249d8a1
Time: 2017-12-29
Author: myscarlet@sina.com
File Name: tools/test_rouge.py
Class Name:
Method Name: test_rouge
Project Name: NervanaSystems/coach
Commit Name: a1c56edd98898ed25db9c6ed1e05b50a0a85e097
Time: 2018-11-23
Author: gal.leibovich@intel.com
File Name: rl_coach/memories/non_episodic/differentiable_neural_dictionary.py
Class Name:
Method Name: load_dnd