1 | #ifndef __GRID_GATHERER_CONNECTOR_HPP__ |
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2 | #define __GRID_GATHERER_CONNECTOR_HPP__ |
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3 | |
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4 | #include "xios_spl.hpp" |
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5 | #include "array_new.hpp" |
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6 | #include "distributed_view.hpp" |
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7 | #include "mpi.hpp" |
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8 | #include "local_view.hpp" |
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9 | #include "distributed_view.hpp" |
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10 | #include "context_client.hpp" |
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11 | #include "gatherer_connector.hpp" |
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12 | #include "reduction_types.hpp" |
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13 | |
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14 | |
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15 | namespace xios |
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16 | { |
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17 | |
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18 | class CGridGathererConnector |
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19 | { |
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20 | private: |
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21 | |
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22 | vector<shared_ptr<CGathererConnector>> elementsConnector_ ; |
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23 | int dstSize_ ; |
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24 | |
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25 | public: |
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26 | CGridGathererConnector(vector<shared_ptr<CGathererConnector>> elementsConnector) : elementsConnector_(elementsConnector) |
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27 | { |
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28 | dstSize_ = 1 ; |
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29 | for(auto& connector : elementsConnector_) dstSize_=dstSize_*connector->getDstSize() ; |
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30 | } |
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31 | |
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32 | template<typename T> |
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33 | void transfer(const map<int, CArray<T,1>>& input, CArray<T,1>& output, EReduction op = EReduction::none) |
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34 | { |
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35 | int n = elementsConnector_.size()-1 ; |
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36 | shared_ptr<CGathererConnector>* connector = elementsConnector_.data() + n ; |
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37 | output.resize(dstSize_) ; |
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38 | |
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39 | if (op == EReduction::none) |
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40 | for(auto& rankDataIn : input) |
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41 | elementsConnector_[n]->transfer(rankDataIn.first, connector, n, rankDataIn.second.dataFirst(), output.dataFirst()) ; |
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42 | else |
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43 | { |
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44 | T defaultValue = std::numeric_limits<T>::quiet_NaN(); |
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45 | vector<int> count(dstSize_,0) ; |
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46 | for(auto& rankDataIn : input) |
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47 | elementsConnector_[n]->transfer(rankDataIn.first, connector, n, rankDataIn.second.dataFirst(), output.dataFirst(), op, count.data()) ; |
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48 | |
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49 | for(int i=0;i<dstSize_;i++) if (count[i]==0) output(i)=defaultValue ; |
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50 | } |
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51 | } |
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52 | |
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53 | template<typename T> |
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54 | void transfer(const map<int, CArray<T,1>>& input, CArray<T,1>& output, T missingValue) |
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55 | { |
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56 | int n = elementsConnector_.size()-1 ; |
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57 | shared_ptr<CGathererConnector>* connector = elementsConnector_.data() + n ; |
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58 | output.resize(dstSize_) ; |
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59 | output = missingValue ; |
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60 | for(auto& rankDataIn : input) |
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61 | { |
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62 | elementsConnector_[n]->transfer(rankDataIn.first, connector, n, rankDataIn.second.dataFirst(), output.dataFirst()) ; |
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63 | } |
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64 | } |
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65 | |
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66 | template<typename T> |
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67 | void transfer(CEventServer& event, CArray<T,1>& dataOut, EReduction op = EReduction::none) |
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68 | { |
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69 | map<int, CArray<T,1>> dataIn ; |
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70 | for (auto& subEvent : event.subEvents) |
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71 | { |
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72 | auto& data = dataIn[subEvent.rank]; |
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73 | (*subEvent.buffer) >> data ; |
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74 | } |
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75 | transfer(dataIn, dataOut, op) ; |
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76 | } |
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77 | |
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78 | |
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79 | void transfer_or(CEventServer& event, CArray<bool,1>& dataOut) |
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80 | { |
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81 | map<int, CArray<bool,1>> dataIn ; |
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82 | for (auto& subEvent : event.subEvents) |
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83 | { |
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84 | auto& data = dataIn[subEvent.rank]; |
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85 | (*subEvent.buffer) >> data ; |
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86 | } |
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87 | transfer_or(dataIn, dataOut) ; |
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88 | } |
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89 | |
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90 | template<typename T> |
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91 | void transfer(CEventServer& event, CArray<T,1>& dataOut, T missingValue) |
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92 | { |
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93 | map<int, CArray<T,1>> dataIn ; |
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94 | for (auto& subEvent : event.subEvents) |
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95 | { |
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96 | auto& data = dataIn[subEvent.rank]; |
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97 | (*subEvent.buffer) >> data ; |
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98 | } |
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99 | transfer(dataIn, dataOut, missingValue) ; |
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100 | } |
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101 | |
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102 | void transfer_or(const map<int, CArray<bool,1>>& input, CArray<bool,1>& output) |
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103 | { |
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104 | int n = elementsConnector_.size()-1 ; |
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105 | shared_ptr<CGathererConnector>* connector = elementsConnector_.data() + n ; |
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106 | output.resize(dstSize_) ; |
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107 | output = false ; |
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108 | for(auto& rankDataIn : input) |
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109 | { |
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110 | elementsConnector_[n]->transfer_or(rankDataIn.first, connector, n, rankDataIn.second.dataFirst(), output.dataFirst()) ; |
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111 | } |
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112 | } |
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113 | |
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114 | }; |
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115 | } |
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116 | |
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117 | #endif |
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