keras-team/keras · error · ValueError
Expected `model` argument to be a Functional Model instance.
Error message
Expected `model` argument to be a Functional Model instance. Received: model={model} What it means
Error "Expected `model` argument to be a Functional Model instance. Received: model={model}" thrown in keras-team/keras.
Source
Thrown at keras/src/models/cloning.py:375
to build the model upon. If not provided,
placeholders will be created.
clone_function: callable to be applied on non-input layers in the model.
By default, it clones the layer (without copying the weights).
Returns:
An instance of `Functional` reproducing the behavior
of the original model, on top of new inputs tensors,
using newly instantiated weights.
"""
if not callable(clone_function):
raise ValueError(
"Expected `clone_function` argument to be a callable. "
f"Received: clone_function={clone_function}"
)
if not isinstance(model, Functional):
raise ValueError(
"Expected `model` argument "
f"to be a Functional Model instance. Received: model={model}"
)
if input_tensors is not None:
if not all(
isinstance(x, backend.KerasTensor)
for x in tree.flatten(input_tensors)
):
raise ValueError(
"All entries in `input_tensors` must be KerasTensors. "
f"Received invalid values: inputs_tensors={input_tensors}"
)
try:
tree.assert_same_structure(input_tensors, model.input)
except ValueError as e:
raise ValueError(
"`input_tensors` must have the same structure as model.input"View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/models/cloning.py:375 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/ee9eebb41bce5fc3.
Report an issue: GitHub.