#pragma once
#include <string>
#include <torch/csrc/WindowsTorchApiMacro.h>

// To enable logging please set(export) PYTORCH_JIT_LOG_LEVEL to
// the ordinal value of one of the following logging levels: 1 for GRAPH_DUMP,
// 2 for GRAPH_UPDATE, 3 for GRAPH_DEBUG.
// * Use GRAPH_DUMP for dumping graphs after optimization passes
// * Use GRAPH_UPDATE for reporting graph transformations (i.e. node deletion,
//   constant folding, CSE)
// * Use GRAPH_DEBUG to provide information useful for debugging
//   the internals of a particular optimization pass or analysis

namespace torch {
namespace jit {

class Node;

enum class JitLoggingLevels {
  OFF,
  GRAPH_DUMP,
  GRAPH_UPDATE,
  GRAPH_DEBUG,
};

std::string debugValueOrDefault(const Node* n);

TORCH_API JitLoggingLevels jit_log_level();

TORCH_API std::string jit_log_prefix(
    JitLoggingLevels level,
    const char* fn,
    int l,
    const std::string& in_str);

TORCH_API std::ostream& operator<<(std::ostream& out, JitLoggingLevels level);

#define JIT_LOG(level, ...)                                                   \
  if (jit_log_level() != JitLoggingLevels::OFF && jit_log_level() >= level) { \
    std::cerr << jit_log_prefix(                                              \
        level, __FILE__, __LINE__, ::c10::str(__VA_ARGS__));                  \
  }

// use GRAPH_DUMP for dumping graphs after optimization passes
#define GRAPH_DUMP(MSG, G) \
  JIT_LOG(JitLoggingLevels::GRAPH_DUMP, MSG, "\n", (G)->toString());
// use GRAPH_UPDATE for reporting graph transformations (i.e. node deletion,
// constant folding, CSE)
#define GRAPH_UPDATE(...) JIT_LOG(JitLoggingLevels::GRAPH_UPDATE, __VA_ARGS__);
// use GRAPH_DEBUG to provide information useful for debugging a particular opt
// pass
#define GRAPH_DEBUG(...) JIT_LOG(JitLoggingLevels::GRAPH_DEBUG, __VA_ARGS__);
} // namespace jit
} // namespace torch
