def dummy_inputs(self):
        """
        Dummy inputs to build the network.

        Returns:
            `Dict[str, tf.Tensor]`: The dummy inputs.
        """
        input_ids = tf.constant(DUMMY_INPUTS, dtype=tf.int32)
        batch_size, seq_len = input_ids.shape

        VISION_DUMMY_INPUTS = tf.random.uniform(
            shape=(
                batch_size,
                self.config.vision_config.num_channels,
                self.config.vision_config.image_size,
                self.config.vision_config.image_size,
            ),
            dtype=tf.float32,
        )
        pixel_values = tf.constant(VISION_DUMMY_INPUTS)
        dummy = {"pixel_values": pixel_values, "input_ids": input_ids}
        return dummy

        Dummy inputs to build the network.

        Returns:
            `Dict[str, tf.Tensor]`: The dummy inputs.
        
dpkd/transformers/src/transformers/models/vision_text_dual_encoder/modeling_tf_vision_text_dual_encoder.py