5d9530841b74021004a09db550e2f791d0a1cb9e,snntoolbox/core/util.py,,get_activations_batch,#Any#Any#,215

Before Change

    

    return [(layer["get_activ"](X_batch), layer["label"]) for layer
            in ann.layers if "get_activ" in layer]


def wilson_score(p, n):
    

After Change

        ``label`` is a string specifying the layer type, e.g. ``"Dense"``.

    
    activations_batch = []
    // Loop through all layers, looking for activation layers
    for idx in range(len(ann.layers)):
        if "get_activ" not in ann.layers[idx].keys():
            continue
        i = idx if "Pooling" in ann.layers[idx]["label"] else idx-1
        activations_batch.append((ann.layers[idx]["get_activ"](X_batch),
                                  ann.layers[i]["label"]))
    return activations_batch

    // return [(layer["get_activ"](X_batch), layer["label"]) for layer
    //         in ann.layers if "get_activ" in layer]

Instances