enable_per_channel_quantization: bool,
  ):
    input_shape = [None, None, None, 3] if input_shape_dynamic else [1, 3, 4, 3]
    filter_shape = [2, 3, 3, 1]
    model = self._create_depthwise_conv2d_model(
        input_shape, filter_shape, has_bias, has_batch_norm, activation_fn
    )
    saved_model_save.save(model, self._input_saved_model_path)

    def data_gen() -> repr_dataset.RepresentativeDataset: