keras-team/keras · error · ValueError
Invalid Functional model configuration. Missing node: {inbou
Error message
Invalid Functional model configuration. Missing node: {inbound_layer_name} What it means
Error "Invalid Functional model configuration. Missing node: {inbound_layer_name}" thrown in keras-team/keras.
Source
Thrown at keras/src/models/functional.py:763
if isinstance(node_data, list):
# Legacy case.
input_tensors = []
for input_data in node_data:
inbound_layer_name = input_data[0]
inbound_node_index = input_data[1]
inbound_tensor_index = input_data[2]
if len(input_data) == 3:
kwargs = {}
elif len(input_data) == 4:
kwargs = input_data[3]
else:
raise ValueError(
"Cannot deserialize the model (invalid config data?)"
)
if inbound_layer_name not in created_layers:
raise ValueError(
"Invalid Functional model configuration. Missing node: "
f"{inbound_layer_name}"
)
inbound_layer = created_layers[inbound_layer_name]
# Raise an error if the corresponding layer node
# has not yet been created
if len(inbound_layer._inbound_nodes) <= inbound_node_index:
raise IndexError(
"Layer node index out of bounds.\n"
f"inbound_layer = {inbound_layer}\n"
"inbound_layer._inbound_nodes = "
f"{inbound_layer._inbound_nodes}\n"
f"inbound_node_index = {inbound_node_index}"
)
inbound_node = inbound_layer._inbound_nodes[inbound_node_index]
input_tensors.append(
inbound_node.output_tensors[inbound_tensor_index]View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/models/functional.py:763 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/74c5b05072e31b32.
Report an issue: GitHub.