keras-team/keras · error · ValueError

Invalid Functional model configuration. The graph of the Fun

Error message

Invalid Functional model configuration. The graph of the Functional model either has loops or disconnected nodes. The following nodes failed to be resolved: {unprocessed_nodes}

What it means

Error "Invalid Functional model configuration. The graph of the Functional model either has loops or disconnected nodes. The following nodes failed to be resolved: {unprocessed_nodes}" thrown in keras-team/keras.

Source

Thrown at keras/src/models/functional.py:641

                    # If the node does not have all inbound layers
                    # available, stop processing and continue later
                    except IndexError:
                        break

                    node_index += 1

                # If all nodes processed remove the layer
                if node_index >= len(node_data_list):
                    some_nodes_processed = True
                    del unprocessed_nodes[layer]
                # If not all nodes processed then store unprocessed nodes
                elif node_index > 0:
                    some_nodes_processed = True
                    unprocessed_nodes[layer] = node_data_list[node_index:]

        if not some_nodes_processed:
            raise ValueError(
                "Invalid Functional model configuration. The graph of the "
                "Functional model either has loops or disconnected nodes. "
                "The following nodes failed to be resolved: "
                f"{unprocessed_nodes}"
            )

    # Create list of input and output tensors and return new class
    name = functional_config["name"]
    trainable = functional_config["trainable"]

    def get_tensor(layer_name, node_index, tensor_index):
        if layer_name not in created_layers:
            raise RuntimeError(
                f"Internal error: could not find layer {layer_name}."
            )
        layer = created_layers[layer_name]
        if isinstance(layer, Functional):
            # Functional models start out with a built-in node.

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/models/functional.py:641 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of keras-team/keras@7a34a03db6 (2026-08-25). Data as JSON: /api/errors/ebc8e03f4e1e3d89. Report an issue: GitHub.