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852f1b8417
We can remove these functions in favor of std ones. Pull Request resolved: https://github.com/pytorch/pytorch/pull/109179 Approved by: https://github.com/colesbury
37 lines
1.3 KiB
C++
37 lines
1.3 KiB
C++
#include <torch/csrc/jit/frontend/name_mangler.h>
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namespace torch::jit {
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c10::QualifiedName NameMangler::mangle(const c10::QualifiedName& name) {
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static const std::string manglePrefix = "___torch_mangle_";
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std::vector<std::string> atoms = name.atoms();
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// Search for an already-existing mangle namespace.
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// If the name is already mangled, just bump the integer.
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for (auto& atom : atoms) {
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auto pos = atom.find(manglePrefix);
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if (pos != std::string::npos) {
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auto num = atom.substr(pos + manglePrefix.size());
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// current mangle index in the name
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size_t num_i = std::stoi(num);
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// bump the mangleIndex_ to num_i + 1
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mangleIndex_ = std::max(mangleIndex_, num_i + 1);
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std::string newAtomPrefix;
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newAtomPrefix.reserve(atom.size());
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// Append the part of the name up to the end of the prefix
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newAtomPrefix.append(atom, 0, pos);
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newAtomPrefix.append(manglePrefix);
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atom = newAtomPrefix + c10::to_string(mangleIndex_++);
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// increment mangleIndex_ until the type is not defined
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return c10::QualifiedName(atoms);
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}
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}
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// Otherwise add a mangle namespace right before the basename
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TORCH_INTERNAL_ASSERT(!atoms.empty());
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atoms.insert(atoms.end() - 1, manglePrefix + c10::to_string(mangleIndex_++));
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return c10::QualifiedName(atoms);
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}
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} // namespace torch::jit
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