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#pragma once
#include <iostream>
#include <string>
#include <vector>
#include <torch/csrc/lazy/core/tensor.h>
namespace torch {
namespace lazy {
TORCH_API std::function<std::vector<SourceLocation>()>&
GetPythonFramesFunction();
TORCH_API std::string GetFirstUserFrameInPython();
class TORCH_API DebugUtil {
public:
enum GraphFormat {
kText,
kDot,
kBackend,
};
static GraphFormat GetDefaultGraphFormat();
// Dumps the current Python frame and the IR Graph whose roots are the IR
// values held at the tensors. If indices is not nullptr, it selects the
// indices of the tensors whose graph will be emitted.
static std::string GetTensorsGraphInfo(
c10::ArrayRef<torch::lazy::LazyTensorPtr> tensors,
const std::vector<size_t>* indices,
GraphFormat format = GetDefaultGraphFormat());
// If the environment variable LTC_SAVE_TENSORS_FILE is set to the proper
// output path, an instance of the report returned by GetTensorsGraphInfo() is
// saved.
static void SaveTensorsGraphInfo(
const char* name,
c10::ArrayRef<torch::lazy::LazyTensorPtr> tensors,
const std::vector<size_t>* indices,
GraphFormat format = GetDefaultGraphFormat());
static bool ExperimentEnabled(const std::string& name);
};
} // namespace lazy
} // namespace torch
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