keras-team/keras · error · ValueError

`cropping` should be either an int, a tuple of 2 ints (symme

Error message

`cropping` should be either an int, a tuple of 2 ints (symmetric_height_crop, symmetric_width_crop), or a tuple of 2 tuples of 2 ints ((top_crop, bottom_crop), (left_crop, right_crop)). Received: cropping={cropping}.

What it means

Error "`cropping` should be either an int, a tuple of 2 ints (symmetric_height_crop, symmetric_width_crop), or a tuple of 2 tuples of 2 ints ((top_crop, bottom_crop), (left_crop, right_crop)). Received: cropping={cropping}." thrown in keras-team/keras.

Source

Thrown at keras/src/layers/reshaping/cropping2d.py:80

                    "`cropping` cannot be negative. "
                    f"Received: cropping={cropping}."
                )
            self.cropping = ((cropping, cropping), (cropping, cropping))
        elif hasattr(cropping, "__len__"):
            if len(cropping) != 2:
                raise ValueError(
                    "`cropping` should have two elements. "
                    f"Received: cropping={cropping}."
                )
            height_cropping = argument_validation.standardize_tuple(
                cropping[0], 2, "1st entry of cropping", allow_zero=True
            )
            width_cropping = argument_validation.standardize_tuple(
                cropping[1], 2, "2nd entry of cropping", allow_zero=True
            )
            self.cropping = (height_cropping, width_cropping)
        else:
            raise ValueError(
                "`cropping` should be either an int, a tuple of 2 ints "
                "(symmetric_height_crop, symmetric_width_crop), "
                "or a tuple of 2 tuples of 2 ints "
                "((top_crop, bottom_crop), (left_crop, right_crop)). "
                f"Received: cropping={cropping}."
            )
        self.input_spec = InputSpec(ndim=4)

    def compute_output_shape(self, input_shape):
        if self.data_format == "channels_first":
            if (
                input_shape[2] is not None
                and sum(self.cropping[0]) >= input_shape[2]
            ) or (
                input_shape[3] is not None
                and sum(self.cropping[1]) >= input_shape[3]
            ):
                raise ValueError(

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/reshaping/cropping2d.py:80 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/b5e6b84f298ed8a9. Report an issue: GitHub.