41a1d4a6f6422f5bc403981189c3001e2e391c70,dlpy/applications.py,,VGG19,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,873

Before Change

        else:
            model = Model.from_table(conn.CASTable(model_name))
            model.load_weights(path=pre_train_weight_file)
            model._retrieve_("addlayer", model=model_name, name="fc6",
                             layer=dict(type="fullconnect", n=4096,
                                        act="relu", dropout=0.5),
                             srcLayers=["pool5"])

            // fc7 layer: 4096 neurons
            model._retrieve_("addlayer", model=model_name, name="fc7",
                             layer=dict(type="fullconnect", n=4096,
                                        act="relu", dropout=0.5),
                             srcLayers=["fc6"])
            // fc output layer: 1000 neurons
            model._retrieve_("addlayer", model=model_name, name="fc8",

After Change

        else:

            model = Model.from_table(conn.CASTable(model_name))
            model.load_weights(path=pre_train_weight_file)

            weight_table_options = model.model_weights.to_table_params()
            weight_table_options.update(dict(where="_LayerID_<22"))
            model._retrieve_("table.partition", table=weight_table_options,
                             casout=dict(replace=True, **model.model_weights.to_table_params()))
            model._retrieve_("removelayer", model=model_name, name="fc8")
            model._retrieve_("addlayer", model=model_name, name="fc8",
                             layer=dict(type="output", n=n_classes, act="softmax"),
                             srcLayers=["fc7"])

Instances