| #ifndef CAFFE2_OPERATORS_SUMMARIZE_OP_H_ |
| #define CAFFE2_OPERATORS_SUMMARIZE_OP_H_ |
| |
| #include <fstream> |
| |
| #include "caffe2/core/context.h" |
| #include "caffe2/core/operator.h" |
| #include "caffe2/utils/math.h" |
| |
| namespace caffe2 { |
| |
| constexpr char kSummaryzeOpExtension[] = ".summary"; |
| |
| template <typename T, class Context> |
| class SummarizeOp final : public Operator<Context> { |
| public: |
| explicit SummarizeOp(const OperatorDef& def, Workspace* ws) |
| : Operator<Context>(def, ws), |
| to_file_(this->template GetSingleArgument<int>("to_file", 0)) { |
| if (to_file_) { |
| // We will output to file instead of printing on screen. |
| const string& target_folder = ws->RootFolder(); |
| // We will write each individual tensor to its individual file. |
| // Also, since the namescope is currently represented by "/", we will |
| // need to replace it with a symbol that does not conflict with the |
| // folder separator in Linux. |
| string proper_name = def.input(0); |
| std::replace(proper_name.begin(), proper_name.end(), '/', '#'); |
| log_file_.reset(new std::ofstream( |
| target_folder + "/" + proper_name + kSummaryzeOpExtension, |
| std::ofstream::out | std::ofstream::trunc)); |
| CAFFE_ENFORCE( |
| log_file_->good(), |
| "Failed to open summarize file for tensor ", |
| def.input(0), |
| ". rdstate() = ", |
| log_file_->rdstate()); |
| } |
| } |
| ~SummarizeOp() override { |
| if (to_file_) |
| log_file_->close(); |
| } |
| USE_OPERATOR_CONTEXT_FUNCTIONS; |
| bool RunOnDevice() override; |
| |
| static constexpr int MIN_IDX = 0; |
| static constexpr int MAX_IDX = 1; |
| static constexpr int MEAN_IDX = 2; |
| static constexpr int STD_IDX = 3; |
| |
| static constexpr int NUM_STATS = 4; |
| |
| protected: |
| bool to_file_; |
| std::unique_ptr<std::ofstream> log_file_; |
| }; |
| |
| } // namespace caffe2 |
| |
| #endif // CAFFE2_OPERATORS_SUMMARIZE_OP_H_ |