fusion_fc_kernel.cpp 2.3 KB
Newer Older
qnqinan's avatar
qnqinan 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
/* 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 FUSION_FC_OP

#include "operators/kernel/fusion_fc_kernel.h"

namespace paddle_mobile {
19
namespace operators {
qnqinan's avatar
qnqinan 已提交
20

21 22 23 24 25 26 27 28 29 30 31 32
template <>
bool FusionFcKernel<FPGA, float>::Init(FusionFcParam *param) {
  bool relu_enabled = false;
  bool bn_enabled = false;
  const Tensor *input_x = param->InputX();
  auto input_x_ptr = input_x->data<float>();
  const Tensor *input_y = param->InputY();
  auto input_y_ptr = input_y->data<float>();
  const Tensor *input_z = param->InputZ();
  auto input_z_ptr = input_z->data<float>();
  Tensor *out = param->Out();
  auto out_ptr = out->mutable_data<float>();
qnqinan's avatar
qnqinan 已提交
33

34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56
  fpga::ConvArgs convArgs;
  convArgs.relu_enabled = relu_enabled;
  convArgs.bias_address = (void *)input_z_ptr;
  convArgs.filter_address = (void *)input_y_ptr;
  convArgs.filter_num = out->dims()[1];
  convArgs.group_num = 1;
  convArgs.bn.enabled = bn_enabled;
  convArgs.kernel.stride_w = 1;
  convArgs.kernel.stride_h = 1;
  convArgs.kernel.height = input_x->dims()[2];
  convArgs.kernel.width = input_x->dims()[3];
  convArgs.image.address = (void *)input_x_ptr;
  convArgs.image.channels = input_x->dims()[1];
  convArgs.image.height = input_x->dims()[2];
  convArgs.image.width = input_x->dims()[3];
  convArgs.image.pad_height = 1;
  convArgs.image.pad_width = 1;
  convArgs.image.scale_address = nullptr;  // fc input has scale attribute??
  convArgs.output.address = (void *)out_ptr;
  convArgs.output.scale_address = nullptr;  // fc output has scale attribute??
  param->SetFpgaArgs(convArgs);
  return true;
}
qnqinan's avatar
qnqinan 已提交
57

58 59 60 61 62
template <>
void FusionFcKernel<FPGA, float>::Compute(const FusionFcParam &param) const {
  fpga::ComputeFpgaConv(param.FpgaArgs());
}
}  // namespace operators
qnqinan's avatar
qnqinan 已提交
63 64
}  // namespace paddle_mobile

65
#endif