keras-team/keras · error · ValueError

`x` and `weights` must both be BCOOs

Error message

`x` and `weights` must both be BCOOs

What it means

Error "`x` and `weights` must both be BCOOs" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/jax/numpy.py:93

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


def kaiser(x, beta):
    x = convert_to_tensor(x)
    return cast(jnp.kaiser(x, beta), config.floatx())


def bincount(x, weights=None, minlength=0, sparse=False):
    # Note: bincount is never traceable / jittable because the output shape
    # depends on the values in x.
    if sparse or isinstance(x, jax_sparse.BCOO):
        if isinstance(x, jax_sparse.BCOO):
            if weights is not None:
                if not isinstance(weights, jax_sparse.BCOO):
                    raise ValueError("`x` and `weights` must both be BCOOs")
                if x.indices is not weights.indices:
                    # This test works in eager mode only
                    if not jnp.all(jnp.equal(x.indices, weights.indices)):
                        raise ValueError(
                            "`x` and `weights` BCOOs must have the same indices"
                        )
                weights = weights.data
            x = x.data
        reduction_axis = 1 if len(x.shape) > 1 else 0
        maxlength = jnp.maximum(jnp.max(x) + 1, minlength)
        one_hot_encoding = nn.one_hot(x, maxlength, sparse=True)
        if weights is not None:
            expanded_weights = jnp.expand_dims(weights, reduction_axis + 1)
            one_hot_encoding = one_hot_encoding * expanded_weights

        outputs = jax_sparse.bcoo_reduce_sum(
            one_hot_encoding,
            axes=(reduction_axis,),

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/jax/numpy.py:93 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/8d9b0fd44b90cb0c. Report an issue: GitHub.