mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 12:21:27 +01:00
6a39613f35
Summary:
Mostly auto-generated changes using
```
python3 tools/clang_tidy.py -c build -x torch/csrc/jit/tensorexpr/eval.cpp -s
```
With following common patterns manually fixed
- Use ` = default` instead of `{}`
- deleted methods should be public
- Use pass-by-value + std::move instead of pass-by-reference+copy
Pull Request resolved: https://github.com/pytorch/pytorch/pull/55628
Reviewed By: walterddr
Differential Revision: D27655378
Pulled By: malfet
fbshipit-source-id: 92be87a08113435d820711103ea9b0364182c71a
42 lines
1.1 KiB
C++
42 lines
1.1 KiB
C++
#pragma once
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#include <memory>
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namespace torch {
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// Reference:
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// https://github.com/llvm-mirror/libcxx/blob/master/include/memory#L3091
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template <typename T>
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struct unique_type_for {
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using value = std::unique_ptr<T>;
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};
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template <typename T>
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,modernize-avoid-c-arrays)
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struct unique_type_for<T[]> {
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,modernize-avoid-c-arrays)
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using unbounded_array = std::unique_ptr<T[]>;
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};
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template <typename T, size_t N>
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// NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,modernize-avoid-c-arrays)
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struct unique_type_for<T[N]> {
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using bounded_array = void;
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};
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template <typename T, typename... Args>
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typename unique_type_for<T>::value make_unique(Args&&... args) {
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return std::unique_ptr<T>(new T(std::forward<Args>(args)...));
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}
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template <typename T>
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typename unique_type_for<T>::unbounded_array make_unique(size_t size) {
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using U = typename std::remove_extent<T>::type;
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return std::unique_ptr<T>(new U[size]());
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}
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template <typename T, size_t N, typename... Args>
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typename unique_type_for<T>::bounded_array make_unique(Args&&...) = delete;
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} // namespace torch
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