keras-team/keras · error · ValueError

input_shape[1] must equal shape(input_tensor)[1] when `image

Error message

input_shape[1] must equal shape(input_tensor)[1] when `image_data_format` is `channels_first`; Received `input_tensor.shape={input_tensor.shape}`, `input_shape={input_shape}`

What it means

Error "input_shape[1] must equal shape(input_tensor)[1] when `image_data_format` is `channels_first`; Received `input_tensor.shape={input_tensor.shape}`, `input_shape={input_shape}`" thrown in keras-team/keras.

Source

Thrown at keras/src/applications/mobilenet_v2.py:146

    # 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]; "
                        "Received `input_tensor.shape="
                        f"{input_tensor.shape}`, "
                        f"`input_shape={input_shape}`"
                    )
        else:
            raise ValueError(
                "input_tensor is not a Keras tensor; "
                f"Received `input_tensor={input_tensor}`"

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/applications/mobilenet_v2.py:146 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/e718b241e1d24868. Report an issue: GitHub.