/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */

#ifdef MUL_OP

#include "operators/kernel/mul_kernel.h"

namespace paddle_mobile {
namespace operators {

template <>
bool MulKernel<FPGA, float>::Init(MulParam<FPGA> *param) {
  bool relu_enabled = false;
  auto input_x = const_cast<LoDTensor *>(param->InputX());
  auto filter = const_cast<LoDTensor *>(param->InputY());
  auto out = param->Out();

  PADDLE_MOBILE_ENFORCE(input_x->dims()[1] == filter->dims()[0],
                        "Image channel should be equal to weight number");
  int channel = (uint32_t)out->dims()[1];
  auto bs_ptr =
      (float *)fpga::fpga_malloc(2 * channel * sizeof(float));  // NOLINT
  for (int i = 0; i < channel; i++) {
    bs_ptr[i + channel] = 1;
    bs_ptr[i] = 0;
  }
  int num = (uint32_t)filter->dims()[1];
  int chw = (uint32_t)filter->dims()[0];
  PADDLE_MOBILE_ENFORCE(
      chw == input_x->numel(),
      "Filter element num should be equal to IFM element num");
  int height = (uint32_t)input_x->dims()[2];
  int width = (uint32_t)input_x->dims()[3];
  int filter_channel = chw / height / width;

  out->Resize(framework::make_ddim({1, channel, 1, 1}));
  filter->Resize(framework::make_ddim({num, filter_channel, height, width}));
  float max_value = fpga::filter_find_max(filter);
  fpga::format_fc_filter(filter, max_value);

  int element_num_per_div = fpga::get_filter_num_per_div(filter, 1);
  fpga::format_bias_scale_array(&bs_ptr, element_num_per_div, channel);
  fpga::format_fp16_ofm(out);

  fpga::WrapperConvArgs conv_arg = {0};
  fpga::fill_conv_arg(&conv_arg, input_x, out, filter, relu_enabled, 1, 1, 1, 0,
                      0, bs_ptr);
  param->SetFpgaArgs(conv_arg);
  return true;
}

template <>
void MulKernel<FPGA, float>::Compute(const MulParam<FPGA> &param) const {
  fpga::ComputeFpgaConv(param.FpgaArgs());
}

}  // namespace operators
}  // namespace paddle_mobile

#endif