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#include <torch/csrc/profiler/combined_traceback.h>
#include <torch/csrc/utils/cpp_stacktraces.h>
namespace torch {
static std::atomic<CapturedTraceback::Python*> python_support_ = nullptr;
std::shared_ptr<CapturedTraceback> CapturedTraceback::gather(
bool python,
bool script,
bool cpp) {
auto r = std::make_shared<CapturedTraceback>();
if (python) {
auto p = python_support_.load();
while (p && r->frames_.empty()) {
r->frames_ = p->gather();
r->python_ = p;
p = p->next_;
}
}
if (script) {
r->script_frames_ = torch::jit::currentCallstack();
}
if (cpp) {
r->cpp_frames_ = unwind::unwind();
}
return r;
}
int CapturedTraceback::traversePython(visitproc visit, void* arg) {
TORCH_INTERNAL_ASSERT(python_);
return python_->traverse(frames_, visit, arg);
}
int CapturedTraceback::clearPython() {
TORCH_INTERNAL_ASSERT(python_);
return python_->clear(frames_);
}
CapturedTraceback::~CapturedTraceback() {
if (!frames_.empty()) {
TORCH_INTERNAL_ASSERT(python_);
python_->release(frames_);
}
}
struct PyFrameHash {
std::size_t operator()(const CapturedTraceback::PyFrame& f) const {
return std::hash<void*>()(f.code) ^ std::hash<int>()(f.lasti);
}
};
struct PyFrameEq {
std::size_t operator()(
const CapturedTraceback::PyFrame& lhs,
const CapturedTraceback::PyFrame& rhs) const {
return lhs.code == rhs.code && lhs.lasti == rhs.lasti;
}
};
SymbolizedTracebacks symbolize(
const std::vector<CapturedTraceback*>& to_symbolize) {
SymbolizedTracebacks r;
std::unordered_map<void*, size_t> ip_to_frame_offset;
std::unordered_map<CapturedTraceback::PyFrame, size_t, PyFrameHash, PyFrameEq>
py_to_frame_offset;
std::vector<void*> all_cpp_ips;
// dedup and collect any C++ frames that need symbols for
for (const auto& e : to_symbolize) {
for (void* f : e->cpp_frames_) {
if (!ip_to_frame_offset.count(f)) {
ip_to_frame_offset[f] = all_cpp_ips.size();
all_cpp_ips.push_back(f);
}
}
}
// gather symbol names for C++ frames
if (!all_cpp_ips.empty()) {
r.all_frames = unwind::symbolize(all_cpp_ips, torch::get_symbolize_mode());
}
// batch symbolization requests so we dedup frame objects
// however, we might have to request from different python interpreters
// make sure we flush requests before switching interpreters;
CapturedTraceback::Python* cur_python = nullptr;
std::vector<CapturedTraceback::PyFrame> cur_py_frames;
size_t py_frames_size_ = 0;
for (const auto& e : to_symbolize) {
if (e->python_) {
if (cur_python != e->python_ && !cur_py_frames.empty()) {
if (cur_python) {
// NOLINTNEXTLINE(clang-analyzer-core.CallAndMessage)
cur_python->appendSymbolized(cur_py_frames, r);
}
cur_py_frames.clear();
}
cur_python = e->python_;
for (const auto& f : e->frames_) {
if (!py_to_frame_offset.count(f)) {
py_to_frame_offset[f] = py_frames_size_++;
cur_py_frames.push_back(f);
}
}
}
}
if (!cur_py_frames.empty()) {
if (cur_python) {
// NOLINTNEXTLINE(clang-analyzer-core.CallAndMessage)
cur_python->appendSymbolized(cur_py_frames, r);
}
cur_py_frames.clear();
}
std::vector<std::vector<uint64_t>> python_frame_fragments =
std::move(r.tracebacks);
r.tracebacks = {};
for (const auto& sc : to_symbolize) {
r.tracebacks.emplace_back();
auto py_it = sc->frames_.begin();
auto py_end = sc->frames_.end();
bool jit_appended = false;
auto append_python = [&](const CapturedTraceback::PyFrame& f) {
const auto& fragment =
python_frame_fragments.at(py_to_frame_offset.at(f));
r.tracebacks.back().insert(
r.tracebacks.back().end(), fragment.begin(), fragment.end());
};
auto append_jit = [&]() {
if (jit_appended) {
return;
}
jit_appended = true;
for (const auto& f : sc->script_frames_) {
unwind::Frame frame;
frame.funcname =
f.filename; // sic: torchscript puts funcname in filename field
auto flc = f.range.file_line_col();
if (flc) {
size_t col = 0;
std::tie(frame.filename, frame.lineno, col) = *flc;
} else {
frame.filename = "??";
frame.lineno = 0;
}
r.tracebacks.back().push_back(r.all_frames.size());
r.all_frames.emplace_back(std::move(frame));
}
};
for (void* f : sc->cpp_frames_) {
uint64_t cpp_frame = ip_to_frame_offset.at(f);
const unwind::Frame& uf = r.all_frames.at(cpp_frame);
if (uf.funcname.find("PyEval_EvalFrame") != std::string::npos) {
if (py_it != py_end) {
append_python(*py_it++);
}
} else if (
uf.funcname.rfind("torch::jit::InterpreterStateImpl::run", 0) !=
std::string::npos) {
append_jit();
}
r.tracebacks.back().push_back(cpp_frame);
}
// add frames if we otherwise haven't seen the C++ frame indicating where
// it should go
append_jit();
for (; py_it != py_end; ++py_it) {
append_python(*py_it);
}
}
return r;
}
void CapturedTraceback::addPythonUnwinder(CapturedTraceback::Python* p) {
CapturedTraceback::Python* old_unwinder = python_support_.load();
do {
p->next_ = old_unwinder;
} while (!python_support_.compare_exchange_strong(old_unwinder, p));
}
} // namespace torch
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