keras-team/keras · error · ValueError

Invalid value for argument `dtype`. Expected one of {ALLOWED

Error message

Invalid value for argument `dtype`. Expected one of {ALLOWED_DTYPES}. Received: dtype={dtype}

What it means

Error "Invalid value for argument `dtype`. Expected one of {ALLOWED_DTYPES}. Received: dtype={dtype}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/common/dtypes.py:199

        # e.g, tf.float32 == float is True
        is_weak_type = True
    return standardize_dtype(value), is_weak_type


@functools.lru_cache(maxsize=None)
def _respect_weak_type(dtype, weak_type):
    """Return the weak dtype of `dtype` if `weak_type==True`."""
    if weak_type:
        if dtype == "bool":
            return dtype
        elif "float" in dtype:
            return "float"
        elif "int" in dtype:
            return "int"
        elif "complex" in dtype:
            return "complex"
        else:
            raise ValueError(
                "Invalid value for argument `dtype`. Expected one of "
                f"{ALLOWED_DTYPES}. Received: dtype={dtype}"
            )
    return dtype


@functools.lru_cache(maxsize=None)
def _resolve_weak_type(dtype, precision="32"):
    """Resolve weak type by the precision of `backend.floatx()`."""
    extended_allowed_dtypes = set(ALLOWED_DTYPES).union(WEAK_TYPES)
    if dtype not in extended_allowed_dtypes:
        raise ValueError(
            "Invalid value for argument `dtype`. Expected one of "
            f"{extended_allowed_dtypes}. Received: dtype={dtype}"
        )
    if precision not in ["16", "32", "64"]:
        raise ValueError(
            f"Invalid value for argument `precision`. Expected one of "

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/common/dtypes.py:199 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/dd4dfcd778abdbba. Report an issue: GitHub.