{"record":{"id":"7e12f32c98ba2854","repo":"keras-team/keras","slug":"expected-the-input-image-to-be-rank-3-or-4-receiv-7e12f3","errorCode":null,"errorMessage":"Expected the input image to be rank 3 or 4. Received inputs.shape={images_shape}","messagePattern":"Expected the input image to be rank 3 or 4\\. Received inputs\\.shape=(.+?)","errorType":"validation","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/layers/preprocessing/image_preprocessing/random_invert.py","lineNumber":77,"sourceCode":"    def get_random_transformation(self, data, training=True, seed=None):\n        if not training:\n            return None\n\n        if isinstance(data, dict):\n            images = data[\"images\"]\n        else:\n            images = data\n\n        seed = seed or self._get_seed_generator(self.backend._backend)\n\n        images_shape = self.backend.shape(images)\n        rank = len(images_shape)\n        if rank == 3:\n            batch_size = 1\n        elif rank == 4:\n            batch_size = images_shape[0]\n        else:\n            raise ValueError(\n                \"Expected the input image to be rank 3 or 4. Received \"\n                f\"inputs.shape={images_shape}\"\n            )\n\n        invert_probability = self.backend.random.uniform(\n            shape=(batch_size,),\n            minval=self.factor[0],\n            maxval=self.factor[1],\n            seed=seed,\n        )\n\n        random_threshold = self.backend.random.uniform(\n            shape=(batch_size,),\n            minval=0,\n            maxval=1,\n            seed=seed,\n        )\n","sourceCodeStart":59,"sourceCodeEnd":95,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/layers/preprocessing/image_preprocessing/random_invert.py#L59-L95","documentation":"Error \"Expected the input image to be rank 3 or 4. Received inputs.shape={images_shape}\" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/layers/preprocessing/image_preprocessing/random_invert.py:77 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"7a34a03db60bf60042242d6a556fc3be119046a5","analyzedAt":"2026-08-25T21:25:25.994Z","schemaVersion":2},"datasetVersion":"2026-08-26T02:17:13.382Z"}