81212e841322442c03e3b3df80ab4db3e7aecfb9,dlpy/model_conversion/write_keras_model_parm.py,,write_keras_hdf5,#Any#Any#Any#,335

Before Change

                    name = str(w.name)
                else:
                    name = "param_" + str(i)
                weight_names.append(name.encode("utf8"))

            // layer modification from here:
            new_weight_names = []

After Change

            permute_layer_name = None

        // populate attributes with layer names
        attrib_layer_names = []
        for name in filtered_layer_names:
            layer = model.get_layer(name=name)
            class_name, sublayers = remove_layer_wrapper(layer)
            for tlayer in sublayers:
                attrib_layer_names.append(tlayer.name)
                            
        f_out.attrs["layer_names"] = [replace_forward_slash(l).encode("utf8") for l in attrib_layer_names]            
        // let Keras read weights, reformat, and write to SAS-compatible file
        for k, layer in enumerate(filtered_layers):
            symbolic_weights = layer.weights

Instances