mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
Summary:
Does
```cpp
namespace torch {
using c10::optional;
using c10::nullopt;
}
```
So that users can be oblivious of our changes with ATen/c10 happening in the background, and also don't have to deal with multiple namespaces (which is very confusing).
ezyang
Pull Request resolved: https://github.com/pytorch/pytorch/pull/12927
Differential Revision: D10510630
Pulled By: goldsborough
fbshipit-source-id: e456264f2fbca3eda277712de11cdd8acc77fbd4
37 lines
943 B
C++
37 lines
943 B
C++
#include <gtest/gtest.h>
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#include <torch/csrc/utils/memory.h>
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#include <c10/util/Optional.h>
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struct TestValue {
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explicit TestValue(const int& x) : lvalue_(x) {}
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explicit TestValue(int&& x) : rvalue_(x) {}
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c10::optional<int> lvalue_;
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c10::optional<int> rvalue_;
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};
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TEST(MakeUniqueTest, ForwardRvaluesCorrectly) {
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auto ptr = torch::make_unique<TestValue>(123);
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ASSERT_FALSE(ptr->lvalue_.has_value());
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ASSERT_TRUE(ptr->rvalue_.has_value());
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ASSERT_EQ(*ptr->rvalue_, 123);
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}
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TEST(MakeUniqueTest, ForwardLvaluesCorrectly) {
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int x = 5;
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auto ptr = torch::make_unique<TestValue>(x);
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ASSERT_TRUE(ptr->lvalue_.has_value());
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ASSERT_EQ(*ptr->lvalue_, 5);
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ASSERT_FALSE(ptr->rvalue_.has_value());
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}
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TEST(MakeUniqueTest, CanConstructUniquePtrOfArray) {
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auto ptr = torch::make_unique<int[]>(3);
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// Value initialization is required by the standard.
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ASSERT_EQ(ptr[0], 0);
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ASSERT_EQ(ptr[1], 0);
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ASSERT_EQ(ptr[2], 0);
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}
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