keras-team/keras · error · ValueError

Leading dimensions of input arrays must match

Error message

Leading dimensions of input arrays must match

What it means

Error "Leading dimensions of input arrays must match" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/tensorflow/linalg.py:213

            tf.linalg.triangular_solve(a, b, lower=lower), axis=-1
        )
    return tf.linalg.triangular_solve(a, b, lower=lower)


def svd(x, full_matrices=True, compute_uv=True):
    if compute_uv is False:
        return tf.linalg.svd(x, full_matrices=full_matrices, compute_uv=False)
    s, u, v = tf.linalg.svd(
        x, full_matrices=full_matrices, compute_uv=compute_uv
    )
    return u, s, tf.linalg.adjoint(v)


def lstsq(a, b, rcond=None):
    a = convert_to_tensor(a)
    b = convert_to_tensor(b)
    if a.shape[0] != b.shape[0]:
        raise ValueError("Leading dimensions of input arrays must match")
    b_orig_ndim = b.ndim
    if b_orig_ndim == 1:
        b = b[:, None]
    if a.ndim != 2:
        raise TypeError(
            f"{a.ndim}-dimensional array given. Array must be two-dimensional"
        )
    if b.ndim != 2:
        raise TypeError(
            f"{b.ndim}-dimensional array given. "
            "Array must be one or two-dimensional"
        )
    m, n = a.shape
    dtype = a.dtype
    eps = tf.experimental.numpy.finfo(dtype).eps
    if a.shape == ():
        s = tf.zeros(0, dtype=a.dtype)
        x = tf.zeros((n, *b.shape[1:]), dtype=a.dtype)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/tensorflow/linalg.py:213 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/0baff952dae40194. Report an issue: GitHub.