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: inputs.shape={inputs.shape}, cropping={self.cropping}

What it means

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

Source

Thrown at keras/src/layers/reshaping/cropping2d.py:154

                ),
                (
                    input_shape[2] - self.cropping[1][0] - self.cropping[1][1]
                    if input_shape[2] is not None
                    else None
                ),
                input_shape[3],
            )

    def call(self, inputs):
        if self.data_format == "channels_first":
            if (
                inputs.shape[2] is not None
                and sum(self.cropping[0]) >= inputs.shape[2]
            ) or (
                inputs.shape[3] is not None
                and sum(self.cropping[1]) >= inputs.shape[3]
            ):
                raise ValueError(
                    "Values in `cropping` argument should be smaller than the "
                    "corresponding spatial dimension of the input. Received: "
                    f"inputs.shape={inputs.shape}, cropping={self.cropping}"
                )
            if self.cropping[0][1] == self.cropping[1][1] == 0:
                return inputs[
                    :, :, self.cropping[0][0] :, self.cropping[1][0] :
                ]
            elif self.cropping[0][1] == 0:
                return inputs[
                    :,
                    :,
                    self.cropping[0][0] :,
                    self.cropping[1][0] : -self.cropping[1][1],
                ]
            elif self.cropping[1][1] == 0:
                return inputs[
                    :,

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/reshaping/cropping2d.py:154 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/5333b74cf634e2aa. Report an issue: GitHub.