fetch_op.cc 3.0 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
Q
qijun 已提交
2

L
Luo Tao 已提交
3 4 5
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
Q
qijun 已提交
6

L
Luo Tao 已提交
7
    http://www.apache.org/licenses/LICENSE-2.0
Q
qijun 已提交
8

L
Luo Tao 已提交
9 10 11 12 13
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. */
Q
qijun 已提交
14

Y
Yi Wang 已提交
15 16 17
#include "paddle/fluid/framework/feed_fetch_type.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/platform/device_context.h"
18
#include "paddle/fluid/platform/profiler.h"
Q
qijun 已提交
19 20 21 22

namespace paddle {
namespace operators {

Y
Yu Yang 已提交
23
class FetchOp : public framework::OperatorBase {
Q
qijun 已提交
24
 public:
Y
Yu Yang 已提交
25 26 27 28
  FetchOp(const std::string &type, const framework::VariableNameMap &inputs,
          const framework::VariableNameMap &outputs,
          const framework::AttributeMap &attrs)
      : OperatorBase(type, inputs, outputs, attrs) {}
Q
qijun 已提交
29

30 31 32
 private:
  void RunImpl(const framework::Scope &scope,
               const platform::Place &place) const override {
33 34 35
    platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance();
    platform::RecordEvent record_event(Type(), pool.Get(place));

Y
Yu Yang 已提交
36
    auto fetch_var_name = Input("X");
Y
Yu Yang 已提交
37 38 39 40
    auto *fetch_var = scope.FindVar(fetch_var_name);
    PADDLE_ENFORCE(fetch_var != nullptr,
                   "Cannot find fetch variable in scope, fetch_var_name is %s",
                   fetch_var_name);
Q
qijun 已提交
41

Y
Yu Yang 已提交
42 43 44 45 46
    auto out_name = this->Output("Out");
    auto *out_var = scope.FindVar(out_name);
    PADDLE_ENFORCE(out_var != nullptr,
                   "Cannot find out_var in scope, out_var_name is %s",
                   out_name);
Q
qijun 已提交
47

Y
Yu Yang 已提交
48 49 50 51 52 53 54 55 56 57 58 59
    auto col = static_cast<size_t>(Attr<int>("col"));

    auto *fetch_list = out_var->GetMutable<framework::FeedFetchList>();
    auto &src_item = fetch_var->Get<framework::FeedFetchType>();

    if (col >= fetch_list->size()) {
      fetch_list->resize(col + 1);
    }
    auto &dst_item = fetch_list->at(col);

    // FIXME(yuyang18): Should we assume the fetch operator always generate
    // CPU outputs?
F
fengjiayi 已提交
60
    TensorCopySync(src_item, platform::CPUPlace(), &dst_item);
61
    dst_item.set_lod(src_item.lod());
Y
Yu Yang 已提交
62 63

    VLOG(3) << "Fetch variable " << fetch_var_name << " to " << out_name;
Q
qijun 已提交
64 65 66
  }
};

Y
Yu Yang 已提交
67 68
class FetchOpInfoMaker : public framework::OpProtoAndCheckerMaker {
 public:
69
  FetchOpInfoMaker(OpProto *proto, OpAttrChecker *op_checker)
Y
Yu Yang 已提交
70 71 72
      : OpProtoAndCheckerMaker(proto, op_checker) {
    AddInput("X", "The input of fetch op");
    AddOutput("Out", "The output of fetch op");
K
kexinzhao 已提交
73 74 75 76 77 78 79
    AddAttr<int>("col", "(int) The column of fetch");
    AddComment(R"DOC(
Fetch Operator.

It should not be configured by users directly.

)DOC");
Y
Yu Yang 已提交
80 81
  }
};
Q
qijun 已提交
82 83 84
}  // namespace operators
}  // namespace paddle

Y
Yu Yang 已提交
85
REGISTER_OPERATOR(fetch, paddle::operators::FetchOp,
Y
Yu Yang 已提交
86 87
                  paddle::framework::EmptyGradOpMaker,
                  paddle::operators::FetchOpInfoMaker);