fde7cc023ea226bf01563d0cbce919e85f8701fd,model.py,,_last,#Any#Any#,190

Before Change


    while len(last) < graph.number_of_nodes():
        next_ind = []  // layers at prev time point
        for ind in curr_ind:
            if ind not in last:
                last[ind] = t
                // then add adjacency list onto next_ind
                next_ind.extend(graph.predecessors(ind))
        curr_ind = next_ind
        t -= 1
    return last

After Change


    while len(curr_layers) > 0:
        next_layers = []  // layers at prev time point
        for layer in curr_layers:
            if "last" not in graph.node[layer]:
                graph.node[layer]["last"] = t
                // then add adjacency list onto next_layer
                next_layers.extend(graph.predecessors(layer))
        curr_layers = next_layers
        t -= 1


def _maxpool(input_, out_spatial, kernel_size=None, name="pool"):
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 8

Instances


Project Name: neuroailab/tnn
Commit Name: fde7cc023ea226bf01563d0cbce919e85f8701fd
Time: 2016-10-02
Author: qbilius@gmail.com
File Name: model.py
Class Name:
Method Name: _last


Project Name: snipsco/snips-nlu
Commit Name: 7c50d9677032e4ea15c5c5ca5c96a85994aa39a4
Time: 2018-02-15
Author: clement.doumouro@gmail.com
File Name: nlu_dataset/assistant_dataset.py
Class Name: AssistantDataset
Method Name: json


Project Name: neuroailab/tnn
Commit Name: fde7cc023ea226bf01563d0cbce919e85f8701fd
Time: 2016-10-02
Author: qbilius@gmail.com
File Name: model.py
Class Name:
Method Name: _first