keras-team/keras · error · ValueError

Invalid axes: {axes}. Axes must be a tuple of two different

Error message

Invalid axes: {axes}. Axes must be a tuple of two different dimensions.

What it means

Error "Invalid axes: {axes}. Axes must be a tuple of two different dimensions." thrown in keras-team/keras.

Source

Thrown at keras/src/backend/numpy/ops/numpy.py:21

from keras.src import backend
from keras.src import tree
from keras.src.backend import config
from keras.src.backend.common import dtypes
from keras.src.backend.common.backend_utils import canonicalize_axis
from keras.src.backend.common.backend_utils import standardize_axis_for_numpy
from keras.src.backend.common.variables import standardize_dtype
from keras.src.backend.numpy.ops.core import convert_to_tensor


def rot90(array, k=1, axes=(0, 1)):
    """Rotate an array by 90 degrees in the specified plane."""
    if array.ndim < 2:
        raise ValueError(
            "Input array must have at least 2 dimensions. "
            f"Received: array.ndim={array.ndim}"
        )
    if len(axes) != 2 or axes[0] == axes[1]:
        raise ValueError(
            f"Invalid axes: {axes}. Axes must be a tuple "
            "of two different dimensions."
        )
    return np.rot90(array, k=k, axes=axes)


def add(x1, x2):
    if not isinstance(x1, (int, float)):
        x1 = convert_to_tensor(x1)
    if not isinstance(x2, (int, float)):
        x2 = convert_to_tensor(x2)
    dtype = dtypes.result_type(
        getattr(x1, "dtype", type(x1)),
        getattr(x2, "dtype", type(x2)),
    )
    x1 = convert_to_tensor(x1, dtype)
    x2 = convert_to_tensor(x2, dtype)
    return np.add(x1, x2)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/numpy/ops/numpy.py:21 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/abfe1a5387e636d4. Report an issue: GitHub.