keras-team/keras · error · ValueError

Could not interpret loss identifier: {identifier}

Error message

Could not interpret loss identifier: {identifier}

What it means

Error "Could not interpret loss identifier: {identifier}" thrown in keras-team/keras.

Source

Thrown at keras/src/losses/__init__.py:207

    Returns:
        A Keras loss as a `function`/ `Loss` class instance.
    """
    if identifier is None:
        return None
    if isinstance(identifier, dict):
        obj = deserialize(identifier)
    elif isinstance(identifier, str):
        obj = ALL_OBJECTS_DICT.get(identifier, None)
    else:
        obj = identifier

    if callable(obj):
        if inspect.isclass(obj):
            obj = obj()
        return obj
    else:
        raise ValueError(f"Could not interpret loss identifier: {identifier}")

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/losses/__init__.py:207 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/b72b79ebc1bd93cd. Report an issue: GitHub.