sequence_erase_op.h 2.3 KB
Newer Older
Y
Yibing Liu 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.

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. */

#pragma once

Y
Yi Wang 已提交
17
#include "paddle/fluid/framework/op_registry.h"
Y
Yibing Liu 已提交
18 19 20 21 22 23 24 25

namespace paddle {
namespace operators {

template <typename DeviceContext, typename T>
class SequenceEraseKernel : public framework::OpKernel<T> {
 public:
  void Compute(const framework::ExecutionContext& ctx) const override {
26 27
    auto* in = ctx.Input<framework::LoDTensor>("X");
    auto* out = ctx.Output<framework::LoDTensor>("Out");
Y
Yibing Liu 已提交
28 29 30

    auto lod = in->lod();
    PADDLE_ENFORCE_EQ(lod.size(), 1UL, "Only support one level sequence now.");
31 32
    PADDLE_ENFORCE_EQ(lod[0].back(), (size_t)in->numel(),
                      "The actual size mismatches with the LoD information.");
Y
Yibing Liu 已提交
33 34 35 36
    auto tokens = ctx.Attr<std::vector<int>>("tokens");
    auto in_len = in->numel();
    auto in_dat = in->data<T>();
    auto lod0 = lod[0];
37

Y
Yibing Liu 已提交
38
    std::vector<size_t> num_erased(in_len + 1, 0);
39 40 41 42 43 44 45 46 47 48 49
    std::vector<size_t> out_lod0(1, 0);
    for (size_t i = 0; i < lod0.size() - 1; ++i) {
      size_t num_out = 0;
      for (auto j = lod0[i] + 1; j <= lod0[i + 1]; ++j) {
        num_erased[j] = num_erased[j - 1];
        if (std::find(tokens.begin(), tokens.end(), in_dat[j - 1]) !=
            tokens.end()) {
          num_erased[j] += 1;
        } else {
          num_out += 1;
        }
Y
Yibing Liu 已提交
50
      }
51
      out_lod0.push_back(out_lod0.back() + num_out);
Y
Yibing Liu 已提交
52 53 54 55 56 57
    }

    auto out_len = in_len - num_erased[in_len];
    out->Resize({static_cast<int64_t>(out_len), 1});
    auto out_dat = out->mutable_data<T>(ctx.GetPlace());

Y
Yibing Liu 已提交
58
    for (int64_t i = 0; i < in_len; ++i) {
Y
Yibing Liu 已提交
59 60 61 62 63 64 65 66 67 68 69 70
      if (num_erased[i] == num_erased[i + 1]) {
        out_dat[i - num_erased[i]] = in_dat[i];
      }
    }
    framework::LoD out_lod;
    out_lod.push_back(out_lod0);
    out->set_lod(out_lod);
  }
};

}  // namespace operators
}  // namespace paddle