|  | #ifndef CAFFE2_MAP_OP_H_ | 
|  | #define CAFFE2_MAP_OP_H_ | 
|  |  | 
|  | #include "caffe2/core/context.h" | 
|  | #include "caffe2/core/operator.h" | 
|  |  | 
|  | namespace caffe2 { | 
|  |  | 
|  | template <typename T, class Context> | 
|  | class APMeterOp final : public Operator<Context> { | 
|  | public: | 
|  | USE_OPERATOR_CONTEXT_FUNCTIONS; | 
|  |  | 
|  | template <class... Args> | 
|  | explicit APMeterOp(Args&&... args) | 
|  | : Operator<Context>(std::forward<Args>(args)...), | 
|  | buffer_size_( | 
|  | this->template GetSingleArgument<int32_t>("buffer_size", 1000)), | 
|  | buffer_used_(0) {} | 
|  |  | 
|  | bool RunOnDevice() override; | 
|  |  | 
|  | protected: | 
|  | using BufferDataType = std::pair<float, int>; | 
|  | // Buffer the predictions for each class | 
|  | std::vector<std::vector<BufferDataType>> buffers_; | 
|  | // Capacity of the buffer | 
|  | int buffer_size_; | 
|  | // Used buffer | 
|  | int buffer_used_; | 
|  |  | 
|  | INPUT_TAGS(PREDICTION, LABEL); | 
|  |  | 
|  | protected: | 
|  | // Buffer predictions for N sample and D classes | 
|  | void | 
|  | BufferPredictions(const float* Xdata, const int* labelData, int N, int D); | 
|  | }; | 
|  |  | 
|  | } // namespace caffe2 | 
|  |  | 
|  | #endif // CAFFE2_MAP_OP_H_ |