TfLiteStatus EvalQuantizedPerChannel16x8(
    const TfLiteDepthwiseConvParams* params, const OpData* data,
    const TfLiteTensor* input, const TfLiteTensor* filter,
    const TfLiteTensor* bias, TfLiteTensor* output) {
  DepthwiseParams op_params;
  op_params.padding_type = PaddingType::kSame;
  op_params.padding_values.width = data->padding.width;
  op_params.padding_values.height = data->padding.height;
  op_params.stride_width = params->stride_width;
  op_params.stride_height = params->stride_height;
  op_params.dilation_width_factor = params->dilation_width_factor;
  op_params.dilation_height_factor = params->dilation_height_factor;
  op_params.depth_multiplier = params->depth_multiplier;
  op_params.weights_offset = 0;
  op_params.quantized_activation_min = data->output_activation_min;
  op_params.quantized_activation_max = data->output_activation_max;

  reference_integer_ops::DepthwiseConvPerChannel(
      op_params, data->per_channel_output_multiplier.data(),
      data->per_channel_output_shift.data(), GetTensorShape(input),
      GetTensorData<int16>(input), GetTensorShape(filter),
      GetTensorData<int8>(filter), GetTensorShape(bias),
      GetTensorData<std::int64_t>(bias), GetTensorShape(output),
      GetTensorData<int16>(output));

  return kTfLiteOk;
}
TfLiteStatus EvalQuantizedPerChannel16x8(
    const TfLiteDepthwiseConvParams* params, const OpData* data,
    const TfLiteTensor* input, const TfLiteTensor* filter,
    const TfLiteTensor* bias, TfLiteTensor* output) {
  DepthwiseParams op_params;
  op_params.padding_type = PaddingType::kSame;
  op_params.padding_values.width = data->padding.width;
  op_params.padding_values.height = data->padding.height;
  op_params.stride_width = params->stride_width;
  op_params.stride_height = params->stride_height;
  op_params.dilation_width_factor = params->dilation_width_factor;
  op_params.dilation_height_factor = params->dilation_height_factor;
  op_params.depth_multiplier = params->depth_multiplier;
  op_params.weights_offset = 0;
  op_params.quantized_activation_min = data->output_activation_min;
  op_params.quantized_activation_max = data->output_activation_max;

  reference_integer_ops::DepthwiseConvPerChannel(
      op_params, data->per_channel_output_multiplier.data(),
      data->per_channel_output_shift.data(), GetTensorShape(input),
      GetTensorData<int16>(input), GetTensorShape(filter),
      GetTensorData<int8>(filter), GetTensorShape(bias),
      GetTensorData<std::int64_t>(bias), GetTensorShape(output),
      GetTensorData<int16>(output));

  return kTfLiteOk;
}