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/numpy/ops/math.py:138
def extract_sequences(x, sequence_length, sequence_stride):
*batch_shape, _ = x.shape
batch_shape = list(batch_shape)
shape = x.shape[:-1] + (
(x.shape[-1] - (sequence_length - sequence_stride)) // sequence_stride,
sequence_length,
)
strides = x.strides[:-1] + (
sequence_stride * x.strides[-1],
x.strides[-1],
)
x = np.lib.stride_tricks.as_strided(x, shape=shape, strides=strides)
return np.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 np.issubdtype(real.dtype, np.floating) or not np.issubdtype(
imag.dtype, np.floating
):
raise ValueError(View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/backend/numpy/ops/math.py:138 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/9037944c7b4b3eba.
Report an issue: GitHub.