keras-team/keras · error · ValueError
input_tensor: {input_tensor}is not type input_tensor. Receiv
Error message
input_tensor: {input_tensor}is not type input_tensor. Received `type(input_tensor)={type(input_tensor)}` What it means
Error "input_tensor: {input_tensor}is not type input_tensor. Received `type(input_tensor)={type(input_tensor)}`" thrown in keras-team/keras.
Source
Thrown at keras/src/applications/mobilenet_v2.py:138
if weights == "imagenet" and include_top and classes != 1000:
raise ValueError(
'If using `weights="imagenet"` with `include_top` '
f"as true, `classes` should be 1000. Received `classes={classes}`"
)
# Determine proper input shape and default size.
# If both input_shape and input_tensor are used, they should match
if input_shape is not None and input_tensor is not None:
try:
is_input_t_tensor = backend.is_keras_tensor(input_tensor)
except ValueError:
try:
is_input_t_tensor = backend.is_keras_tensor(
operation_utils.get_source_inputs(input_tensor)
)
except ValueError:
raise ValueError(
f"input_tensor: {input_tensor}"
"is not type input_tensor. "
f"Received `type(input_tensor)={type(input_tensor)}`"
)
if is_input_t_tensor:
if backend.image_data_format() == "channels_first":
if input_tensor.shape[1] != input_shape[1]:
raise ValueError(
"input_shape[1] must equal shape(input_tensor)[1] "
"when `image_data_format` is `channels_first`; "
"Received `input_tensor.shape="
f"{input_tensor.shape}`"
f", `input_shape={input_shape}`"
)
else:
if input_tensor.shape[2] != input_shape[1]:
raise ValueError(
"input_tensor.shape[2] must equal input_shape[1]; "View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/applications/mobilenet_v2.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/842be16021c3a948.
Report an issue: GitHub.