src/transformers/onnx/config.py/OnnxConfig/_generate_dummy_images
class OnnxConfig:    def _generate_dummy_images(
        self, batch_size: int = 2, num_channels: int = 3, image_height: int = 40, image_width: int = 40
    ):
        images = []
        for _ in range(batch_size):
            data = np.random.rand(image_height, image_width, num_channels) * 255
            images.append(Image.fromarray(data.astype("uint8")).convert("RGB"))
        return images