keras-team/keras · error · ValueError

Input `x` must have at least 2 dimensions. Received shape: {

Error message

Input `x` must have at least 2 dimensions. Received shape: {x.shape}

What it means

Error "Input `x` must have at least 2 dimensions. Received shape: {x.shape}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/jax/math.py:239

    result = result / scale
    result = jnp.swapaxes(result, -2, -1)
    return jnp.real(result), jnp.imag(result)


def istft(
    x,
    sequence_length,
    sequence_stride,
    fft_length,
    length=None,
    window="hann",
    center=True,
):
    x = _get_complex_tensor_from_tuple(x)
    dtype = jnp.real(x).dtype

    if len(x.shape) < 2:
        raise ValueError(
            f"Input `x` must have at least 2 dimensions. "
            f"Received shape: {x.shape}"
        )

    expected_output_len = fft_length + sequence_stride * (x.shape[-2] - 1)
    l_pad = (fft_length - sequence_length) // 2
    r_pad = fft_length - sequence_length - l_pad

    if window is not None:
        if isinstance(window, str):
            win = convert_to_tensor(
                scipy.signal.get_window(window, sequence_length), dtype=dtype
            )
        else:
            win = convert_to_tensor(window, dtype=dtype)
        if len(win.shape) != 1 or win.shape[-1] != sequence_length:
            raise ValueError(
                "The shape of `window` must be equal to [sequence_length]."

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/jax/math.py:239 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/ad31233aab32fd68. Report an issue: GitHub.