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Test neighbor_sample with and without replacement #110

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Merged
merged 2 commits into from
Sep 23, 2022
Merged

Test neighbor_sample with and without replacement #110

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ff33205
test neighbor_sample with replacement
rusty1s Sep 23, 2022
8f327d6
changelog
rusty1s Sep 23, 2022
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2 changes: 1 addition & 1 deletion CHANGELOG.md
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Expand Up @@ -7,7 +7,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
### Added
- Added CSC mode to `pyg::sampler::neighbor_sample` and `pyg::sampler::hetero_neighbor_sample` ([#95](https://github.com/pyg-team/pyg-lib/pull/95), [#96](https://github.com/pyg-team/pyg-lib/pull/96))
- Speed up `pyg::sampler::neighbor_sample` via `IndexTracker` implementation ([#84](https://github.com/pyg-team/pyg-lib/pull/84))
- Added `pyg::sampler::hetero_neighbor_sample` implementation ([#90](https://github.com/pyg-team/pyg-lib/pull/90), [#92](https://github.com/pyg-team/pyg-lib/pull/92), [#94](https://github.com/pyg-team/pyg-lib/pull/94), [#97](https://github.com/pyg-team/pyg-lib/pull/97), [#98](https://github.com/pyg-team/pyg-lib/pull/98), [#99](https://github.com/pyg-team/pyg-lib/pull/99), [#102](https://github.com/pyg-team/pyg-lib/pull/102))
- Added `pyg::sampler::hetero_neighbor_sample` implementation ([#90](https://github.com/pyg-team/pyg-lib/pull/90), [#92](https://github.com/pyg-team/pyg-lib/pull/92), [#94](https://github.com/pyg-team/pyg-lib/pull/94), [#97](https://github.com/pyg-team/pyg-lib/pull/97), [#98](https://github.com/pyg-team/pyg-lib/pull/98), [#99](https://github.com/pyg-team/pyg-lib/pull/99), [#102](https://github.com/pyg-team/pyg-lib/pull/102), [#110](https://github.com/pyg-team/pyg-lib/pull/110))
- Added `pyg::utils::to_vector` implementation ([#88](https://github.com/pyg-team/pyg-lib/pull/88))
- Added support for PyTorch 1.12 ([#57](https://github.com/pyg-team/pyg-lib/pull/57), [#58](https://github.com/pyg-team/pyg-lib/pull/58))
- Added `grouped_matmul` and `segment_matmul` CUDA implementations via `cutlass` ([#51](https://github.com/pyg-team/pyg-lib/pull/51), [#56](https://github.com/pyg-team/pyg-lib/pull/56), [#61](https://github.com/pyg-team/pyg-lib/pull/61), [#64](https://github.com/pyg-team/pyg-lib/pull/64), [#69](https://github.com/pyg-team/pyg-lib/pull/69), [#73](https://github.com/pyg-team/pyg-lib/pull/73))
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50 changes: 48 additions & 2 deletions test/csrc/sampler/test_neighbor.cpp
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Expand Up @@ -5,12 +5,12 @@
#include "pyg_lib/csrc/utils/types.h"
#include "test/csrc/graph.h"

TEST(NeighborTest, BasicAssertions) {
TEST(FullNeighborTest, BasicAssertions) {
auto options = at::TensorOptions().dtype(at::kLong);

auto graph = cycle_graph(/*num_nodes=*/6, options);
auto seed = at::arange(2, 4, options);
std::vector<int64_t> num_neighbors = {2, 2};
std::vector<int64_t> num_neighbors = {-1, -1};

auto out = pyg::sampler::neighbor_sample(/*rowptr=*/std::get<0>(graph),
/*col=*/std::get<1>(graph), seed,
Expand All @@ -26,6 +26,52 @@ TEST(NeighborTest, BasicAssertions) {
EXPECT_TRUE(at::equal(std::get<3>(out).value(), expected_edges));
}

TEST(WithoutReplacementNeighborTest, BasicAssertions) {
auto options = at::TensorOptions().dtype(at::kLong);

auto graph = cycle_graph(/*num_nodes=*/6, options);
auto seed = at::arange(2, 4, options);
std::vector<int64_t> num_neighbors = {1, 1};

at::manual_seed(123456);
auto out = pyg::sampler::neighbor_sample(
/*rowptr=*/std::get<0>(graph),
/*col=*/std::get<1>(graph), seed, num_neighbors, /*time=*/c10::nullopt,
/*csc=*/false, /*replace=*/false);

auto expected_row = at::tensor({0, 1, 2, 3}, options);
EXPECT_TRUE(at::equal(std::get<0>(out), expected_row));
auto expected_col = at::tensor({2, 3, 0, 4}, options);
EXPECT_TRUE(at::equal(std::get<1>(out), expected_col));
auto expected_nodes = at::tensor({2, 3, 1, 4, 5}, options);
EXPECT_TRUE(at::equal(std::get<2>(out), expected_nodes));
auto expected_edges = at::tensor({4, 7, 3, 9}, options);
EXPECT_TRUE(at::equal(std::get<3>(out).value(), expected_edges));
}

TEST(WithReplacementNeighborTest, BasicAssertions) {
auto options = at::TensorOptions().dtype(at::kLong);

auto graph = cycle_graph(/*num_nodes=*/6, options);
auto seed = at::arange(2, 4, options);
std::vector<int64_t> num_neighbors = {1, 1};

at::manual_seed(123456);
auto out = pyg::sampler::neighbor_sample(
/*rowptr=*/std::get<0>(graph),
/*col=*/std::get<1>(graph), seed, num_neighbors, /*time=*/c10::nullopt,
/*csc=*/false, /*replace=*/true);

auto expected_row = at::tensor({0, 1, 2, 3}, options);
EXPECT_TRUE(at::equal(std::get<0>(out), expected_row));
auto expected_col = at::tensor({2, 3, 0, 4}, options);
EXPECT_TRUE(at::equal(std::get<1>(out), expected_col));
auto expected_nodes = at::tensor({2, 3, 1, 4, 5}, options);
EXPECT_TRUE(at::equal(std::get<2>(out), expected_nodes));
auto expected_edges = at::tensor({4, 7, 3, 9}, options);
EXPECT_TRUE(at::equal(std::get<3>(out).value(), expected_edges));
}

TEST(DisjointNeighborTest, BasicAssertions) {
auto options = at::TensorOptions().dtype(at::kLong);

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