FM / runtime

/usr/local/lib64/python3.6/site-packages/torch/include/torch/csrc/jit/runtime/

/usr/local/lib64/python3.6/site-packages/torch/include/torch/csrc/jit/runtime

Name	Size	Mode	Actions
argument_spec.h	16896	0644	edit dl rm
autodiff.h	3993	0644	edit dl rm
calculate_necessary_args.h	2100	0644	edit dl rm
custom_operator.h	1079	0644	edit dl rm
exception_message.h	639	0644	edit dl rm
graph_executor.h	4477	0644	edit dl rm
graph_executor_impl.h	3902	0644	edit dl rm
graph_iterator.h	4963	0644	edit dl rm
instruction.h	3894	0644	edit dl rm
interpreter.h	5081	0644	edit dl rm
jit_exception.h	270	0644	edit dl rm
logging.h	2618	0644	edit dl rm
operator.h	9060	0644	edit dl rm
operator_options.h	189	0644	edit dl rm
print_handler.h	340	0644	edit dl rm
profiling_graph_executor_impl.h	2036	0644	edit dl rm
profiling_record.h	8962	0644	edit dl rm
register_ops_utils.h	43794	0644	edit dl rm
script_profile.h	2532	0644	edit dl rm
slice_indices_adjust.h	821	0644	edit dl rm
symbolic_script.h	598	0644	edit dl rm
symbolic_shape_registry.h	425	0644	edit dl rm
vararg_functions.h	1023	0644	edit dl rm
variable_tensor_list.h	545	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/torch/include/torch/csrc/jit/runtime/script_profile.h (2532B)

#pragma once

#include <chrono>
#include <map>
#include <string>

#include <ATen/core/ivalue.h>
#include <c10/macros/Macros.h>
#include <torch/csrc/jit/frontend/source_ref.h>
#include <torch/csrc/jit/ir/ir.h>

namespace torch {
namespace jit {
namespace profiling {

struct Datapoint {
  using Timepoint = std::chrono::time_point<std::chrono::steady_clock>;
  SourceRange sourceRange;
  Timepoint start;
  Timepoint end;

explicit Datapoint(SourceRange sr)
      : sourceRange(std::move(sr)), start(std::chrono::steady_clock::now()) {}
};

class TORCH_API InstructionSpan {
 public:
  explicit InstructionSpan(Node&);
  ~InstructionSpan();
  InstructionSpan(InstructionSpan&&) = delete;
  InstructionSpan& operator=(InstructionSpan&&) = delete;

private:
  std::unique_ptr<Datapoint> datapoint_;
};

} // namespace profiling

struct TORCH_API InstructionStats : public CustomClassHolder {
  int64_t count{0};
  std::chrono::nanoseconds duration{0};
};

class TORCH_API SourceStats : public CustomClassHolder {
 public:
  using LineMap = c10::Dict<int64_t, c10::intrusive_ptr<InstructionStats>>;

SourceStats(SourceRef source, LineMap lineMap)
      : source_(std::move(source)), lineMap_(std::move(lineMap)) {}

const SourceRef& getSourceRef() const {
    return source_;
  }

const LineMap& getLineMap() const {
    return lineMap_;
  }

private:
  SourceRef source_;
  LineMap lineMap_;
};

/**
 * ScriptProfile is an underlying C++ implementation for TorchScript profiling.
 * The profiling section is specified by calling enable() and disable():
 *
 * ...
 * scriptProfile.enable();
 * ...
 * (scripts)
 * ...
 * scriptProfile.disable();
 * ...
 *
 * To retrieve collected runtime data, users may call dumpStats() and do
 * arbitrary filtering on the data they want. Note that dumpStats() should
 * not be called inside a profiling section.
 * In general, stats are aggregated per source function body, and then by line
 * number.
 */
class TORCH_API ScriptProfile : public CustomClassHolder {
  // Aggregates datapoints by function source id, then by line number.
  using LineMap = std::map<int64_t, InstructionStats>;
  using SourceMap = std::map<SourceRef, LineMap, std::less<>>;

public:
  void enable();
  void disable();
  const SourceMap& dumpStats();
  void addDatapoint(std::shared_ptr<profiling::Datapoint>);
  ~ScriptProfile() override;

private:
  bool enabled_{false};
  std::vector<std::shared_ptr<profiling::Datapoint>> datapoints_;
  SourceMap sourceMap_;
};

} // namespace jit
} // namespace torch

#pragma once #include #include #include #include #include #include #include namespace torch { namespace jit { namespace profiling { struct Datapoint { using Timepoint = std::chrono::time_point; SourceRange sourceRange; Timepoint start; Timepoint end; explicit Datapoint(SourceRange sr) : sourceRange(std::move(sr)), start(std::chrono::steady_clock::now()) {} }; class TORCH_API InstructionSpan { public: explicit InstructionSpan(Node&); ~InstructionSpan(); InstructionSpan(InstructionSpan&&) = delete; InstructionSpan& operator=(InstructionSpan&&) = delete; private: std::unique_ptr datapoint_; }; } // namespace profiling struct TORCH_API InstructionStats : public CustomClassHolder { int64_t count{0}; std::chrono::nanoseconds duration{0}; }; class TORCH_API SourceStats : public CustomClassHolder { public: using LineMap = c10::Dict>; SourceStats(SourceRef source, LineMap lineMap) : source_(std::move(source)), lineMap_(std::move(lineMap)) {} const SourceRef& getSourceRef() const { return source_; } const LineMap& getLineMap() const { return lineMap_; } private: SourceRef source_; LineMap lineMap_; }; /** * ScriptProfile is an underlying C++ implementation for TorchScript profiling. * The profiling section is specified by calling enable() and disable(): * * ... * scriptProfile.enable(); * ... * (scripts) * ... * scriptProfile.disable(); * ... * * To retrieve collected runtime data, users may call dumpStats() and do * arbitrary filtering on the data they want. Note that dumpStats() should * not be called inside a profiling section. * In general, stats are aggregated per source function body, and then by line * number. */ class TORCH_API ScriptProfile : public CustomClassHolder { // Aggregates datapoints by function source id, then by line number. using LineMap = std::map; using SourceMap = std::map>; public: void enable(); void disable(); const SourceMap& dumpStats(); void addDatapoint(std::shared_ptr); ~ScriptProfile() override; private: bool enabled_{false}; std::vector> datapoints_; SourceMap sourceMap_; }; } // namespace jit } // namespace torch