fc_op.cc 2.1 KB
Newer Older
S
superjomn 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
// Copyright (c) 2019 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.

#include "fc_op.h"
#include "paddle/fluid/lite/op_registry.h"

namespace paddle {
namespace lite {
namespace operators {

bool FcOpLite::CheckShape() const {
  CHECK_OR_FALSE(param_.input);
  CHECK_OR_FALSE(param_.output);
  CHECK_OR_FALSE(param_.w);
  // bias is optional.

  const auto input_dims = param_.input->dims();
  const auto w_dims = param_.w->dims();

  if (param_.bias) {
    const auto bias_dims = param_.bias->dims();
    if (bias_dims.size() == 2) {
      CHECK_EQ_OR_FALSE(bias_dims[0], 1);
      CHECK_EQ_OR_FALSE(bias_dims[1], w_dims[1]);
    } else if (bias_dims.size() == 1) {
      CHECK_EQ_OR_FALSE(bias_dims[0], w_dims[1]);
    }
  }

  CHECK_EQ_OR_FALSE(w_dims.size(), 2UL);
  CHECK_GT_OR_FALSE(input_dims.size(),
                    static_cast<size_t>(param_.in_num_col_dims));

  param_.in_mat_dims = lite::flatten_to_2d(input_dims, param_.in_num_col_dims);
  CHECK_EQ_OR_FALSE(param_.in_mat_dims[1], w_dims[0]);

  return true;
}

bool FcOpLite::InferShape() const {
  const auto input_dims = param_.input->dims();
  const auto w_dims = param_.w->dims();

  // Set output dims
  std::vector<int> output_dims(param_.in_num_col_dims + 1, 0);
  for (int i = 0; i < param_.in_num_col_dims; ++i) {
    output_dims[i] = input_dims[i];
  }
  output_dims.back() = w_dims[1];
  param_.output->Resize(output_dims);

  // share LoD
  // param_.output->set_lod(param_.input->lod());
  return true;
}

}  // namespace operators
}  // namespace lite
}  // namespace paddle

REGISTER_LITE_OP(fc, paddle::lite::operators::FcOpLite);