keras-team/keras · error · ValueError

Input `x` should be a tuple of two tensors - real and imagin

Error message

Input `x` should be a tuple of two tensors - real and imaginary.Both the real and imaginary parts should have the same shape. Received: x[0].shape = {real.shape}, x[1].shape = {imag.shape}

What it means

Error "Input `x` should be a tuple of two tensors - real and imaginary.Both the real and imaginary parts should have the same shape. Received: x[0].shape = {real.shape}, x[1].shape = {imag.shape}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/jax/ops/math.py:118

        (sequence_stride,),
        "VALID",
        dimension_numbers=("NTC", "OIT", "NTC"),
    )
    return jnp.reshape(x, (*batch_shape, *x.shape[-2:]))


def _get_complex_tensor_from_tuple(x):
    if not isinstance(x, (tuple, list)) or len(x) != 2:
        raise ValueError(
            "Input `x` should be a tuple of two tensors - real and imaginary."
            f"Received: x={x}"
        )
    # `convert_to_tensor` does not support passing complex tensors. We separate
    # the input out into real and imaginary and convert them separately.
    real, imag = x
    # Check shapes.
    if real.shape != imag.shape:
        raise ValueError(
            "Input `x` should be a tuple of two tensors - real and imaginary."
            "Both the real and imaginary parts should have the same shape. "
            f"Received: x[0].shape = {real.shape}, x[1].shape = {imag.shape}"
        )
    # Ensure dtype is float.
    if not jnp.issubdtype(real.dtype, jnp.floating) or not jnp.issubdtype(
        imag.dtype, jnp.floating
    ):
        raise ValueError(
            "At least one tensor in input `x` is not of type float."
            f"Received: x={x}."
        )
    complex_input = jax.lax.complex(real, imag)
    return complex_input


def fft(x):
    complex_input = _get_complex_tensor_from_tuple(x)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/jax/ops/math.py:118 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/e09f9e58d95d7f13. Report an issue: GitHub.