keras-team/keras · error · ValueError

Values in `cropping` argument should be smaller than the cor

Error message

Values in `cropping` argument should be smaller than the corresponding spatial dimension of the input. Received: input_shape={input_shape}, cropping={self.cropping}

What it means

Error "Values in `cropping` argument should be smaller than the corresponding spatial dimension of the input. Received: input_shape={input_shape}, cropping={self.cropping}" thrown in keras-team/keras.

Source

Thrown at keras/src/layers/reshaping/cropping2d.py:98

            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(
                    "Values in `cropping` argument should be smaller than the "
                    "corresponding spatial dimension of the input. Received: "
                    f"input_shape={input_shape}, cropping={self.cropping}"
                )
            return (
                input_shape[0],
                input_shape[1],
                (
                    input_shape[2] - self.cropping[0][0] - self.cropping[0][1]
                    if input_shape[2] is not None
                    else None
                ),
                (
                    input_shape[3] - self.cropping[1][0] - self.cropping[1][1]
                    if input_shape[3] is not None
                    else None
                ),
            )

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/reshaping/cropping2d.py:98 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/24f11c4d5dea2ac2. Report an issue: GitHub.