keras-team/keras · error · ValueError
Cannot deserialize the model (invalid config data?)
Error message
Cannot deserialize the model (invalid config data?)
What it means
Error "Cannot deserialize the model (invalid config data?)" thrown in keras-team/keras.
Source
Thrown at keras/src/models/functional.py:758
def deserialize_node(node_data, created_layers):
"""Return (args, kwargs) for calling the node layer."""
if not node_data:
return [], {}
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"View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/models/functional.py:758 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/836e5542bbde2f9d.
Report an issue: GitHub.