keras-team/keras · error · ValueError
Argument `size` must be a tuple of two elements (height, wid
Error message
Argument `size` must be a tuple of two elements (height, width). Received: size={size} What it means
Error "Argument `size` must be a tuple of two elements (height, width). Received: size={size}" thrown in keras-team/keras.
Source
Thrown at keras/src/backend/tensorflow/image.py:168
):
data_format = backend.standardize_data_format(data_format)
if interpolation not in RESIZE_INTERPOLATIONS:
raise ValueError(
"Invalid value for argument `interpolation`. Expected of one "
f"{RESIZE_INTERPOLATIONS}. Received: interpolation={interpolation}"
)
if fill_mode != "constant":
raise ValueError(
"Invalid value for argument `fill_mode`. Only `'constant'` "
f"is supported. Received: fill_mode={fill_mode}"
)
if pad_to_aspect_ratio and crop_to_aspect_ratio:
raise ValueError(
"Only one of `pad_to_aspect_ratio` & `crop_to_aspect_ratio` "
"can be `True`."
)
if not len(size) == 2:
raise ValueError(
"Argument `size` must be a tuple of two elements "
f"(height, width). Received: size={size}"
)
size = tuple(size)
if len(images.shape) not in (3, 4):
raise ValueError(
"Invalid images rank: expected rank 3 (single image) "
"or rank 4 (batch of images). Received input with shape: "
f"images.shape={images.shape}"
)
if data_format == "channels_first":
if len(images.shape) == 4:
images = tf.transpose(images, (0, 2, 3, 1))
else:
images = tf.transpose(images, (1, 2, 0))
if crop_to_aspect_ratio:
shape = tf.shape(images)View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/backend/tensorflow/image.py:168 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/9a0a54eec3d9d5b5.
Report an issue: GitHub.