keras-team/keras · error · TypeError

wrong number of positional arguments: expected {len(input_co

Error message

wrong number of positional arguments: expected {len(input_core_dims)}, got {len(args)}

What it means

Error "wrong number of positional arguments: expected {len(input_core_dims)}, got {len(args)}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/common/backend_utils.py:520

    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}: "
                f"{size} vs {dim_sizes[dim]}"
            )


def _vectorize_parse_input_dimensions(
    args,
    input_core_dims,
):
    from keras.src import ops

    if len(args) != len(input_core_dims):
        raise TypeError(
            "wrong number of positional arguments: "
            f"expected {len(input_core_dims)}, got {len(args)}"
        )
    shapes = []
    dim_sizes = {}
    for arg, core_dims in zip(args, input_core_dims):
        _vectorize_update_dim_sizes(
            dim_sizes, arg.shape, core_dims, is_input=True
        )
        ndim = arg.ndim - len(core_dims)
        shapes.append(arg.shape[:ndim])
    broadcast_shape = shapes[0]
    for s in shapes:
        broadcast_shape = ops.broadcast_shapes(broadcast_shape, s)
    return broadcast_shape, dim_sizes


def _vectorize_check_output_dims(

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/common/backend_utils.py:520 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/d642cf1a7774d98a. Report an issue: GitHub.