keras-team/keras · error · NotImplementedError
map_coordinates currently requires order<=1
Error message
map_coordinates currently requires order<=1
What it means
Error "map_coordinates currently requires order<=1" thrown in keras-team/keras.
Source
Thrown at keras/src/backend/tensorflow/image.py:685
f" Received input with shape: {coordinate_arrs.shape}"
)
if fill_mode not in MAP_COORDINATES_FILL_MODES:
raise ValueError(
"Invalid value for argument `fill_mode`. Expected one of "
f"{set(MAP_COORDINATES_FILL_MODES.keys())}. Received: "
f"fill_mode={fill_mode}"
)
fill_value = convert_to_tensor(fill_value, dtype=input_arr.dtype)
coordinate_arrs = tf.unstack(coordinate_arrs, axis=0)
if order == 0:
interp_fun = _nearest_indices_and_weights
elif order == 1:
interp_fun = _linear_indices_and_weights
else:
raise NotImplementedError("map_coordinates currently requires order<=1")
def process_coordinates(coords, size):
if fill_mode == "constant":
valid = (coords >= 0) & (coords < size)
safe_coords = tf.clip_by_value(coords, 0, size - 1)
return safe_coords, valid
elif fill_mode == "nearest":
return tf.clip_by_value(coords, 0, size - 1), tf.ones_like(
coords, dtype=tf.bool
)
elif fill_mode in ["mirror", "reflect"]:
coords = tf.abs(coords)
size_2 = size * 2
mod = tf.math.mod(coords, size_2)
under = mod < size
over = ~under
# reflect mode is same as mirror for under
coords = tf.where(under, mod, size_2 - mod)View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/backend/tensorflow/image.py:685 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/d758930401896a28.
Report an issue: GitHub.