send_op.cc 5.4 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
武毅 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
武毅 已提交
6

L
Luo Tao 已提交
7
    http://www.apache.org/licenses/LICENSE-2.0
武毅 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. */
武毅 已提交
14 15 16

#include <ostream>

Y
Yi Wang 已提交
17 18 19 20
#include "paddle/fluid/framework/data_type.h"
#include "paddle/fluid/framework/framework.pb.h"
#include "paddle/fluid/framework/lod_tensor.h"
#include "paddle/fluid/framework/op_registry.h"
武毅 已提交
21

G
gongweibao 已提交
22
#include <future>
Y
Yi Wang 已提交
23
#include "paddle/fluid/operators/detail/grpc_client.h"
武毅 已提交
24 25 26

namespace paddle {
namespace operators {
27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42
static bool IsVariableInitialized(const framework::Scope& scope,
                                  const std::string& varname) {
  auto* var = scope.FindVar(varname);
  PADDLE_ENFORCE_NOT_NULL(var, "Can not find variable '%s' in the send side.",
                          varname);
  if (var->IsType<framework::LoDTensor>()) {
    return var->Get<framework::LoDTensor>().IsInitialized();
  } else if (var->IsType<framework::SelectedRows>()) {
    return var->Get<framework::SelectedRows>().value().IsInitialized();
  } else {
    PADDLE_THROW(
        "Variable type in send side should be in "
        "[LodTensor, SelectedRows]");
  }
  return false;
}
武毅 已提交
43 44 45

class SendOp : public framework::OperatorBase {
 public:
G
gongweibao 已提交
46 47 48 49
  SendOp(const std::string& type, const framework::VariableNameMap& inputs,
         const framework::VariableNameMap& outputs,
         const framework::AttributeMap& attrs)
      : OperatorBase(type, inputs, outputs, attrs) {}
T
typhoonzero 已提交
50

T
typhoonzero 已提交
51 52
  void RunImpl(const framework::Scope& scope,
               const platform::Place& place) const override {
T
typhoonzero 已提交
53
    auto ins = Inputs("X");
T
typhoonzero 已提交
54
    auto outs = Outputs("Out");
T
typhoonzero 已提交
55
    std::vector<std::string> epmap = Attr<std::vector<std::string>>("epmap");
Y
Yancey 已提交
56 57
    std::vector<std::string> endpoints =
        Attr<std::vector<std::string>>("endpoints");
G
gongweibao 已提交
58

Y
Yancey1989 已提交
59 60
    platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance();
    auto& ctx = *pool.Get(place);
T
typhoonzero 已提交
61 62 63 64 65 66 67 68

    auto client_var_name = Output("RPCClient");
    PADDLE_ENFORCE_NOT_NULL(scope.FindVar(client_var_name),
                            "Can not find variable '%s' in the scope.",
                            client_var_name);
    auto* client_var = scope.FindVar(client_var_name);
    detail::RPCClient* rpc_client = client_var->GetMutable<detail::RPCClient>();

G
gongweibao 已提交
69
    for (size_t i = 0; i < ins.size(); i++) {
70 71 72 73 74 75
      if (IsVariableInitialized(scope, ins[i])) {
        VLOG(3) << "sending " << ins[i] << " to " << epmap[i];
        rpc_client->AsyncSendVariable(epmap[i], ctx, scope, ins[i]);
      } else {
        VLOG(3) << "don't send no-initialied variable: " << ins[i];
      }
武毅 已提交
76
    }
T
typhoonzero 已提交
77
    PADDLE_ENFORCE(rpc_client->Wait());
G
gongweibao 已提交
78

Y
Yancey 已提交
79 80
    for (auto& ep : endpoints) {
      VLOG(3) << "batch barrier, ep: " << ep;
T
typhoonzero 已提交
81
      rpc_client->AsyncSendBatchBarrier(ep);
Y
Yancey 已提交
82
    }
T
typhoonzero 已提交
83
    PADDLE_ENFORCE(rpc_client->Wait());
Y
Yancey 已提交
84

T
typhoonzero 已提交
85
    if (outs.size() > 0) {
T
typhoonzero 已提交
86
      for (size_t i = 0; i < outs.size(); i++) {
87
        VLOG(3) << "getting " << outs[i] << " from " << epmap[i];
Y
Yancey1989 已提交
88
        rpc_client->AsyncGetVariable(epmap[i], ctx, scope, outs[i]);
T
typhoonzero 已提交
89
      }
Y
Yancey1989 已提交
90
      PADDLE_ENFORCE(rpc_client->Wait());
武毅 已提交
91 92 93 94 95 96
    }
  }
};

class SendOpMaker : public framework::OpProtoAndCheckerMaker {
 public:
G
gongweibao 已提交
97
  SendOpMaker(OpProto* proto, OpAttrChecker* op_checker)
武毅 已提交
98
      : OpProtoAndCheckerMaker(proto, op_checker) {
99 100
    AddInput("X", "(Tensor) Input tensor to be sent").AsDuplicable();
    AddOutput("Out", "(Tensor) Output tensor to be received from server")
T
typhoonzero 已提交
101
        .AsDuplicable();
T
typhoonzero 已提交
102 103 104
    AddOutput("RPCClient",
              "(RPCClient) The RPC client object which is"
              "initialized at most once.");
武毅 已提交
105
    AddComment(R"DOC(
A
Abhinav Arora 已提交
106
Send operator
武毅 已提交
107

108
This operator will send tensor to recv_op at the parameter server.
武毅 已提交
109
)DOC");
T
typhoonzero 已提交
110 111
    // TODO(typhoonzero): remove this attr generate de-duplicated vector from
    // epmap when initializing.
T
typhoonzero 已提交
112 113
    AddAttr<std::vector<std::string>>("endpoints",
                                      "(string vector, default 127.0.0.1:6164)"
T
typhoonzero 已提交
114 115
                                      "Server endpoints to send variables to.")
        .SetDefault({});
T
typhoonzero 已提交
116 117 118
    AddAttr<std::vector<std::string>>("epmap",
                                      "(string vector, default 127.0.0.1:6164)"
                                      "Server endpoints in the order of input "
T
typhoonzero 已提交
119 120
                                      "variables for mapping")
        .SetDefault({});
武毅 已提交
121 122 123
  }
};

T
typhoonzero 已提交
124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139
class SendOpVarTypeInference : public framework::VarTypeInference {
 public:
  void operator()(const framework::OpDesc& op_desc,
                  framework::BlockDesc* block) const override {
    auto out_var_name = op_desc.Output("RPCClient").front();
    auto& out_var = block->FindRecursiveOrCreateVar(out_var_name);
    auto var_type = framework::proto::VarType::RAW;
    out_var.SetType(var_type);
  }
};

class SendOpShapeInference : public framework::InferShapeBase {
 public:
  void operator()(framework::InferShapeContext* ctx) const override {}
};

武毅 已提交
140 141 142 143 144
}  // namespace operators
}  // namespace paddle

namespace ops = paddle::operators;

T
typhoonzero 已提交
145 146 147
REGISTER_OPERATOR(send, ops::SendOp, paddle::framework::EmptyGradOpMaker,
                  ops::SendOpMaker, ops::SendOpVarTypeInference,
                  ops::SendOpShapeInference);