def FuseActivationFuncWithAvgPool#ActFnOp#ActFnAttr : Pat<
    (ActFnOp (TFL_AveragePool2DOp:$pool_out $input, $filter_height,
                  $filter_width, $padding, $stride_h, $stride_w, TFL_AF_None)),
    (TFL_AveragePool2DOp $input, $filter_height, $filter_width, $padding,
        $stride_h, $stride_w, ActFnAttr),
    [(HasOneUse $pool_out)]>;

  %0 = "tfl.dequantize"(%arg0) : (tensor<1x6x6x16x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> tensor<1x6x6x16xf32>
  %1 = "tfl.average_pool_2d"(%0) {
      name = "avgpool", filter_height = 3 : i32, filter_width = 6 : i32, fused_activation_function = "NONE", padding = "VALID", stride_h = 3 : i32, stride_w = 1 : i32
    } : (tensor<1x6x6x16xf32>) -> tensor<1x1x1x16xf32>
  func.return %1 : tensor<1x1x1x16xf32>

  /// format to TFLite DepthwiseConv2D op filter data format and return Value
  /// for the converted filter.  TensorFlow filter data format is
  /// [filter_height, filter_width, in_channels, channel_multiplier] and TFLite
  /// filter data format is [1, filter_height, filter_width, out_channels].
  /// Requires that filter is verified by the match method that it is a 4-D
  /// RankedTensorType.