keras-team/keras · error · ValueError

Invalid axis values. Received: axis={axis}

Error message

Invalid axis values. Received: axis={axis}

What it means

Error "Invalid axis values. Received: axis={axis}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/tensorflow/linalg.py:168

                )
            elif ord == 2:
                x = tf.math.reduce_max(
                    tf.linalg.svd(x, compute_uv=False), axis=-1
                )
            else:
                x = tf.math.reduce_sum(
                    tf.linalg.svd(x, compute_uv=False), axis=-1
                )
            if keepdims:
                x = tf.expand_dims(x, axis[0])
                x = tf.expand_dims(x, axis[1])
        else:
            raise ValueError(
                f"Invalid `ord` argument for matrix norm. Received: ord={ord}"
            )
        return x
    else:
        raise ValueError(f"Invalid axis values. Received: axis={axis}")


def qr(x, mode="reduced"):
    if mode not in {"reduced", "complete"}:
        raise ValueError(
            "`mode` argument value not supported. "
            "Expected one of {'reduced', 'complete'}. "
            f"Received: mode={mode}"
        )
    if mode == "reduced":
        return tf.linalg.qr(x)
    return tf.linalg.qr(x, full_matrices=True)


def solve(a, b):
    # tensorflow.linalg.solve only supports same rank inputs
    if b.shape.ndims == a.shape.ndims - 1:
        b = tf.expand_dims(b, axis=-1)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/tensorflow/linalg.py:168 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/53c143b6390da411. Report an issue: GitHub.