Files
pytorch/test/cpp/api/expanding-array.cpp
Richard Barnes afb742382a use irange for loops 10 (#69394)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/69394

Modified loops in files under fbsource/fbcode/caffe2/ from the format
```
for(TYPE var=x0;var<x_max;x++)
```
to the format
```
for(const auto var: irange(xmax))
```

This was achieved by running r-barnes's loop upgrader script (D28874212) with some modification to exclude all files under /torch/jit and a number of reversions or unused variable suppression warnings added by hand.

Test Plan: Sandcastle

Reviewed By: malfet

Differential Revision: D32837991

fbshipit-source-id: fc7c4f76d2f32a17a0faf329294b3fe7cb81df32
2021-12-09 09:49:34 -08:00

61 lines
1.6 KiB
C++

#include <gtest/gtest.h>
#include <c10/util/irange.h>
#include <torch/torch.h>
#include <test/cpp/api/support.h>
#include <cstddef>
#include <initializer_list>
#include <vector>
struct ExpandingArrayTest : torch::test::SeedingFixture {};
TEST_F(ExpandingArrayTest, CanConstructFromInitializerList) {
torch::ExpandingArray<5> e({1, 2, 3, 4, 5});
ASSERT_EQ(e.size(), 5);
for (const auto i : c10::irange(e.size())) {
ASSERT_EQ((*e)[i], i + 1);
}
}
TEST_F(ExpandingArrayTest, CanConstructFromVector) {
torch::ExpandingArray<5> e(std::vector<int64_t>{1, 2, 3, 4, 5});
ASSERT_EQ(e.size(), 5);
for (const auto i : c10::irange(e.size())) {
ASSERT_EQ((*e)[i], i + 1);
}
}
TEST_F(ExpandingArrayTest, CanConstructFromArray) {
torch::ExpandingArray<5> e(std::array<int64_t, 5>({1, 2, 3, 4, 5}));
ASSERT_EQ(e.size(), 5);
for (const auto i : c10::irange(e.size())) {
ASSERT_EQ((*e)[i], i + 1);
}
}
TEST_F(ExpandingArrayTest, CanConstructFromSingleValue) {
torch::ExpandingArray<5> e(5);
ASSERT_EQ(e.size(), 5);
for (const auto i : c10::irange(e.size())) {
ASSERT_EQ((*e)[i], 5);
}
}
TEST_F(
ExpandingArrayTest,
ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInInitializerList) {
ASSERT_THROWS_WITH(
torch::ExpandingArray<5>({1, 2, 3, 4, 5, 6, 7}),
"Expected 5 values, but instead got 7");
}
TEST_F(
ExpandingArrayTest,
ThrowsWhenConstructedWithIncorrectNumberOfArgumentsInVector) {
ASSERT_THROWS_WITH(
torch::ExpandingArray<5>(std::vector<int64_t>({1, 2, 3, 4, 5, 6, 7})),
"Expected 5 values, but instead got 7");
}