keras-team/keras · error · TypeError

ldexp exponent must be an integer type. Received: x2 dtype={

Error message

ldexp exponent must be an integer type. Received: x2 dtype={x2.dtype}

What it means

Error "ldexp exponent must be an integer type. Received: x2 dtype={x2.dtype}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/jax/numpy.py:914

def kron(x1, x2):
    x1 = convert_to_tensor(x1)
    x2 = convert_to_tensor(x2)
    return jnp.kron(x1, x2)


def lcm(x1, x2):
    x1 = convert_to_tensor(x1)
    x2 = convert_to_tensor(x2)
    return jnp.lcm(x1, x2)


def ldexp(x1, x2):
    x1 = convert_to_tensor(x1)
    x2 = convert_to_tensor(x2)

    if standardize_dtype(x2.dtype) not in dtypes.INT_TYPES:
        raise TypeError(
            f"ldexp exponent must be an integer type. "
            f"Received: x2 dtype={x2.dtype}"
        )

    return jnp.ldexp(x1, x2)


def less(x1, x2):
    x1 = convert_to_tensor(x1)
    x2 = convert_to_tensor(x2)
    return jnp.less(x1, x2)


def less_equal(x1, x2):
    x1 = convert_to_tensor(x1)
    x2 = convert_to_tensor(x2)
    return jnp.less_equal(x1, x2)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/jax/numpy.py:914 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/552ea76ec90bbaf7. Report an issue: GitHub.