keras-team/keras · error · ValueError

input with shape {shape} does not have enough dimensions for

Error message

input with shape {shape} does not have enough dimensions for all core dimensions {core_dims}

What it means

Error "input with shape {shape} does not have enough dimensions for all core dimensions {core_dims}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/common/backend_utils.py:490

    signature,
):
    if not re.match(_SIGNATURE, signature):
        raise ValueError(f"not a valid gufunc signature: {signature}")
    args, retvals = (
        [
            tuple(re.findall(_DIMENSION_NAME, arg))
            for arg in re.findall(_ARGUMENT, arg_list)
        ]
        for arg_list in signature.split("->")
    )
    return args, retvals


def _vectorize_update_dim_sizes(dim_sizes, shape, core_dims, is_input=True):
    num_core_dims = len(core_dims)
    if is_input:
        if len(shape) < num_core_dims:
            raise ValueError(
                f"input with shape {shape} does not "
                "have enough dimensions for all core "
                f"dimensions {core_dims}"
            )
    else:
        if len(shape) != num_core_dims:
            raise ValueError(
                f"output shape {shape} does not "
                f"match core dimensions {core_dims}"
            )

    core_shape = shape[-num_core_dims:] if core_dims else ()
    for dim, size in zip(core_dims, core_shape):
        if dim not in dim_sizes:
            dim_sizes[dim] = size
        elif size != dim_sizes[dim]:
            raise ValueError(
                f"inconsistent size for core dimension {dim}: "

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/common/backend_utils.py:490 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/d31c1899aa4375ad. Report an issue: GitHub.