bcf38b02cc7209d1baccd1302b5224f5faf2f00a,plugins/train/model/_base.py,_Inference,_make_inference_model,#_Inference#Any#,1454

Before Change

                logger.debug("Adding model inputs %s: %s", self._input_names, self._inputs)
                model = layer(self._inputs)
            else:
                layer_inputs = [compiled_layers[inp] for inp in inbound]
                logger.debug("Compiling layer "%s": layer inputs: %s", name, layer_inputs)
                model = layer(layer_inputs)
            compiled_layers[name] = model
        retval = KerasModel(self._inputs, model, name="{}_inference".format(saved_model.name))

After Change

        
        logger.debug("Compiling inference model. saved_model: %s", saved_model)
        struct = self._get_filtered_structure()
        model_inputs = self._get_inputs(saved_model.inputs)
        compiled_layers = dict()
        for layer in saved_model.layers:
            if layer.name not in struct:
                logger.debug("Skipping unused layer: "%s"", layer.name)

Instances