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.Received: x={x}

What it means

Error "Input `x` should be a tuple of two tensors - real and imaginary.Received: x={x}" thrown in keras-team/keras.

Source

Thrown at keras/src/backend/jax/ops/math.py:109

def extract_sequences(x, sequence_length, sequence_stride):
    *batch_shape, signal_length = x.shape
    batch_shape = list(batch_shape)
    x = jnp.reshape(x, (math.prod(batch_shape), signal_length, 1))
    x = jax.lax.conv_general_dilated_patches(
        x,
        (sequence_length,),
        (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(

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/jax/ops/math.py:109 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/e8781d20ab35a6b1. Report an issue: GitHub.