keras-team/keras · error · ValueError
input_tensor: {input_tensor}is type: {type(input_tensor)}whi
Error message
input_tensor: {input_tensor}is type: {type(input_tensor)}which is not a valid type What it means
Error "input_tensor: {input_tensor}is type: {type(input_tensor)}which is not a valid type" thrown in keras-team/keras.
Source
Thrown at keras/src/applications/mobilenet_v3.py:235
"input_shape[1] must equal "
"input_tensor.shape[2]. Received "
f"input_shape={input_shape}, "
"input_tensor.shape="
f"{input_tensor.shape}"
)
else:
raise ValueError(
"input_tensor specified: ",
input_tensor,
"is not a keras tensor",
)
# If input_shape is None, infer shape from input_tensor
if input_shape is None and input_tensor is not None:
try:
backend.is_keras_tensor(input_tensor)
except ValueError:
raise ValueError(
"input_tensor: ",
input_tensor,
"is type: ",
type(input_tensor),
"which is not a valid type",
)
if backend.is_keras_tensor(input_tensor):
if backend.image_data_format() == "channels_first":
rows = input_tensor.shape[2]
cols = input_tensor.shape[3]
input_shape = (3, cols, rows)
else:
rows = input_tensor.shape[1]
cols = input_tensor.shape[2]
input_shape = (cols, rows, 3)
# If input_shape is None and input_tensor is None using standard shape
if input_shape is None and input_tensor is None:View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/applications/mobilenet_v3.py:235 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/282eed5d543c7fea.
Report an issue: GitHub.