test(mgb/opr-mm): add collective_comm tests

GitOrigin-RevId: 02edb26ba7

src/opr-mm/test/collective_comm.cpp

@@ -76,6 +76,45 @@ class MockGroupClient final : public opr::GroupClient {
 
 TEST(TestOprCollectiveComm, AllReduce) {
     REQUIRE_GPU(2);
+
+    auto run_mode = [](const Mode mode) {
+        auto cn0 = CompNode::load("gpu0");
+        auto cn1 = CompNode::load("gpu1");
+    
+        HostTensorGenerator<> gen;
+        auto host_x0 = gen({28, 28});
+        auto host_x1 = gen({28, 28});
+        HostTensorND host_y0, host_y1, host_y_expect;
+    
+        auto client = std::make_shared<MockGroupClient>();
+        auto graph = ComputingGraph::make();
+    
+        auto x0 = opr::Host2DeviceCopy::make(*graph, host_x0, cn0);
+        auto x1 = opr::Host2DeviceCopy::make(*graph, host_x1, cn0);
+        auto x1c = opr::Copy::make(x1, cn1);
+    
+        auto y0 = opr::CollectiveComm::make({x0}, graph.get(), "all_reduce",
+                2, 0, 0, client, {mode}, dtype::Float32(), "nccl")[0];
+        auto y1 = opr::CollectiveComm::make({x1c}, graph.get(), "all_reduce",
+                2, 1, 0, client, {mode}, dtype::Float32(), "nccl")[0];
+        auto y_expect = make_all_reduce_output(mode, {x0, x1});
+    
+        auto func = graph->compile({make_callback_copy(y0, host_y0),
+                                    make_callback_copy(y1, host_y1),
+                                    make_callback_copy(y_expect, host_y_expect)});
+        func->execute();
+    
+        MGB_ASSERT_TENSOR_EQ(host_y_expect, host_y0);
+        MGB_ASSERT_TENSOR_EQ(host_y_expect, host_y1);
+    };
+
+    run_mode(Mode::ALL_REDUCE_MAX);
+    run_mode(Mode::ALL_REDUCE_MIN);
+    run_mode(Mode::ALL_REDUCE_SUM);
+}
+
+TEST(TestOprCollectiveComm, AllReduceMultiThread) {
+    REQUIRE_GPU(2);
     auto cn0 = CompNode::load("gpu0");
     auto cn1 = CompNode::load("gpu1");
 
@@ -227,6 +266,38 @@ TEST(TestOprCollectiveComm, AllGather) {
     auto host_x1 = gen({28, 28});
     HostTensorND host_y0, host_y1, host_y_expect;
 
+    auto client = std::make_shared<MockGroupClient>();
+    auto graph = ComputingGraph::make();
+
+    auto x0 = opr::Host2DeviceCopy::make(*graph, host_x0, cn0);
+    auto x1 = opr::Host2DeviceCopy::make(*graph, host_x1, cn0);
+    auto x1c = opr::Copy::make(x1, cn1);
+
+    auto y0 = opr::CollectiveComm::make({x0}, graph.get(), "all_gather",
+            2, 0, 0, client, {Mode::ALL_GATHER}, dtype::Float32(), "nccl")[0];
+    auto y1 = opr::CollectiveComm::make({x1c}, graph.get(), "all_gather",
+            2, 1, 0, client, {Mode::ALL_GATHER}, dtype::Float32(), "nccl")[0];
+    auto y_expect = opr::Concat::make({x0, x1}, 0);
+
+    auto func = graph->compile({make_callback_copy(y0, host_y0),
+                                make_callback_copy(y1, host_y1),
+                                make_callback_copy(y_expect, host_y_expect)});
+    func->execute();
+
+    MGB_ASSERT_TENSOR_EQ(host_y_expect, host_y0);
+    MGB_ASSERT_TENSOR_EQ(host_y_expect, host_y1);
+}
+
+TEST(TestOprCollectiveComm, AllGatherMultiThread) {
+    REQUIRE_GPU(2);
+    auto cn0 = CompNode::load("gpu0");
+    auto cn1 = CompNode::load("gpu1");
+
+    HostTensorGenerator<> gen;
+    auto host_x0 = gen({28, 28});
+    auto host_x1 = gen({28, 28});
+    HostTensorND host_y0, host_y1, host_y_expect;
+
     auto client = std::make_shared<MockGroupClient>();
 
     auto run_0 = [&]() { // rank 0
@@ -360,6 +431,39 @@ TEST(TestOprCollectiveComm, ReduceScatterSum) {
     auto cn0 = CompNode::load("gpu0");
     auto cn1 = CompNode::load("gpu1");
 
+    HostTensorGenerator<> gen;
+    auto host_x0 = gen({28, 28});
+    auto host_x1 = gen({28, 28});
+    HostTensorND host_y0, host_y1, host_y0_expect, host_y1_expect;
+
+    auto client = std::make_shared<MockGroupClient>();
+    auto graph = ComputingGraph::make();
+
+    auto x0 = opr::Host2DeviceCopy::make(*graph, host_x0, cn0);
+    auto x1 = opr::Host2DeviceCopy::make(*graph, host_x1, cn0);
+    auto x1c = opr::Copy::make(x1, cn1);
+
+    auto y0 = opr::CollectiveComm::make({x0}, graph.get(), "reduce_scatter_sum",
+            2, 0, 0, client, {Mode::REDUCE_SCATTER_SUM}, dtype::Float32(), "nccl")[0];
+    auto y1 = opr::CollectiveComm::make({x1c}, graph.get(), "reduce_scatter_sum",
+            2, 1, 0, client, {Mode::REDUCE_SCATTER_SUM}, dtype::Float32(), "nccl")[0];
+    auto y_expect = make_reduce_scatter_sum_output({x0, x1});
+
+    auto func = graph->compile({make_callback_copy(y0, host_y0),
+                                make_callback_copy(y1, host_y1),
+                                make_callback_copy(y_expect[0], host_y0_expect),
+                                make_callback_copy(y_expect[1], host_y1_expect)});
+    func->execute();
+
+    MGB_ASSERT_TENSOR_EQ(host_y0_expect, host_y0);
+    MGB_ASSERT_TENSOR_EQ(host_y1_expect, host_y1);
+}
+
+TEST(TestOprCollectiveComm, ReduceScatterSumMultiThread) {
+    REQUIRE_GPU(2);
+    auto cn0 = CompNode::load("gpu0");
+    auto cn1 = CompNode::load("gpu1");
+
     HostTensorGenerator<> gen;
     auto host_x0 = gen({8});
     auto host_x1 = gen({8});
@@ -499,6 +603,37 @@ TEST(TestOprCollectiveComm, ReduceSum) {
     auto cn0 = CompNode::load("gpu0");
     auto cn1 = CompNode::load("gpu1");
 
+    HostTensorGenerator<> gen;
+    auto host_x0 = gen({28, 28});
+    auto host_x1 = gen({28, 28});
+    HostTensorND host_y0, host_y1, host_y_expect;
+
+    auto client = std::make_shared<MockGroupClient>();
+    auto graph = ComputingGraph::make();
+
+    auto x0 = opr::Host2DeviceCopy::make(*graph, host_x0, cn0);
+    auto x1 = opr::Host2DeviceCopy::make(*graph, host_x1, cn0);
+    auto x1c = opr::Copy::make(x1, cn1);
+
+    auto y0 = opr::CollectiveComm::make({x0}, graph.get(), "reduce_sum",
+            2, 0, 0, client, {Mode::REDUCE_SUM}, dtype::Float32(), "nccl")[0];
+    auto y1 = opr::CollectiveComm::make({x1c}, graph.get(), "reduce_sum",
+            2, 1, 0, client, {Mode::REDUCE_SUM}, dtype::Float32(), "nccl")[0];
+    auto y_expect = x0 + x1;
+
+    auto func = graph->compile({make_callback_copy(y0, host_y0),
+                                make_callback_copy(y1, host_y1),
+                                make_callback_copy(y_expect, host_y_expect)});
+    func->execute();
+
+    MGB_ASSERT_TENSOR_EQ(host_y_expect, host_y0);
+}
+
+TEST(TestOprCollectiveComm, ReduceSumMultiThread) {
+    REQUIRE_GPU(2);
+    auto cn0 = CompNode::load("gpu0");
+    auto cn1 = CompNode::load("gpu1");
+
     HostTensorGenerator<> gen;
     auto host_x0 = gen({28, 28});
     auto host_x1 = gen({28, 28});
@@ -623,6 +758,36 @@ TEST(TestOprCollectiveComm, Broadcast) {
     auto cn0 = CompNode::load("gpu0");
     auto cn1 = CompNode::load("gpu1");
 
+    HostTensorGenerator<> gen;
+    auto host_x0 = gen({28, 28});
+    HostTensorND host_y0, host_y1, host_y_expect;
+
+    auto client = std::make_shared<MockGroupClient>();
+    auto graph = ComputingGraph::make();
+
+    auto x0 = opr::Host2DeviceCopy::make(*graph, host_x0, cn0);
+    auto y0 = opr::CollectiveComm::make({x0}, graph.get(), "broadcast",
+            2, 0, 0, client, {Mode::BROADCAST}, dtype::Float32(), "nccl")[0];
+    auto y_dev = std::make_shared<DeviceTensorND>(DeviceTensorND()
+                                                  .comp_node(cn1)
+                                                  .dtype(dtype::Float32())
+                                                  .resize(host_x0->shape()));
+    auto y1 = opr::CollectiveComm::make({}, graph.get(), "broadcast", 2, 1, 0,
+            client, {y_dev}, {Mode::BROADCAST}, dtype::Float32(), "nccl", {cn1})[0];
+
+    auto func = graph->compile({make_callback_copy(y0, host_y0),
+                                make_callback_copy(y1, host_y1)});
+    func->execute();
+
+    MGB_ASSERT_TENSOR_EQ(*host_x0, host_y0);
+    MGB_ASSERT_TENSOR_EQ(*host_x0, host_y1);
+}
+
+TEST(TestOprCollectiveComm, BroadcastMultiThread) {
+    REQUIRE_GPU(2);
+    auto cn0 = CompNode::load("gpu0");
+    auto cn1 = CompNode::load("gpu1");
+
     HostTensorGenerator<> gen;
     auto host_x0 = gen({28, 28});
     HostTensorND host_y0, host_y1;