keras-team/keras · error · ValueError

At least one tensor in input `x` is not of type float.Receiv

Error message

At least one tensor in input `x` is not of type float.Received: x={x}.

What it means

Error "At least one tensor in input `x` is not of type float.Received: x={x}." thrown in keras-team/keras.

Source

Thrown at keras/src/backend/numpy/math.py:156

        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 np.issubdtype(real.dtype, np.floating) or not np.issubdtype(
        imag.dtype, np.floating
    ):
        raise ValueError(
            "At least one tensor in input `x` is not of type float."
            f"Received: x={x}."
        )
    complex_input = real + 1j * imag
    return complex_input


def fft(x):
    real, imag = jax_fft(x)
    return np.array(real), np.array(imag)


def fft2(x):
    real, imag = jax_fft2(x)
    return np.array(real), np.array(imag)


def ifft2(x):

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/numpy/math.py:156 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/ba94f14c9716529a. Report an issue: GitHub.