[dist-rg] review updates:

- split tests into core and backend part - fix formatting - fix openmpi pre 4.1.x macro Co-authored-by: Pratik Nayak <[email protected]> Co-authored-by: Yu-Hsiang M. Tsai <[email protected]>
ginkgo-project · Oct 30, 2024 · c827b23 · c827b23
1 parent a8d25c5
commit c827b23
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Showing 10 changed files with 251 additions and 194 deletions.
diff --git a/core/distributed/row_gatherer.cpp b/core/distributed/row_gatherer.cpp
@@ -17,10 +17,10 @@ namespace experimental {
 namespace distributed {
 
 
-#if GINKGO_HAVE_OPENMPI_POST_4_1_X
-using DefaultCollComm = mpi::NeighborhoodCommunicator;
-#else
+#if GINKGO_HAVE_OPENMPI_PRE_4_1_X
 using DefaultCollComm = mpi::DenseCommunicator;
+#else
+using DefaultCollComm = mpi::NeighborhoodCommunicator;
 #endif
 
 
@@ -85,9 +85,9 @@ mpi::request RowGatherer<LocalIndexType>::apply_async(
                         !use_host_buffer || mpi_exec->memory_accessible(
                                                 x_local->get_executor()),
                         "The receive buffer uses device memory, but MPI "
-                        "support of device memory is not available. Please "
-                        "provide a host buffer or enable MPI support for "
-                        "device memory.");
+                        "support of device memory is not available or host "
+                        "buffer were explicitly requested. Please provide a "
+                        "host buffer or enable MPI support for device memory.");
 
                     auto b_local = b_global->get_local_vector();
 

diff --git a/core/test/mpi/distributed/row_gatherer.cpp b/core/test/mpi/distributed/row_gatherer.cpp
@@ -23,21 +23,6 @@ class RowGatherer : public ::testing::Test {
     using row_gatherer_type =
         gko::experimental::distributed::RowGatherer<index_type>;
 
-    RowGatherer()
-    {
-        int rank = this->comm.rank();
-        auto part = gko::share(part_type::build_from_global_size_uniform(
-            this->ref, this->comm.size(), this->comm.size() * 3));
-        auto recv_connections =
-            this->template create_recv_connections<long>()[rank];
-        auto imap =
-            map_type{this->ref, part, this->comm.rank(), recv_connections};
-        auto coll_comm =
-            std::make_shared<gko::experimental::mpi::NeighborhoodCommunicator>(
-                this->comm, imap);
-        rg = row_gatherer_type::create(ref, coll_comm, imap);
-    }
-
     void SetUp() override { ASSERT_EQ(comm.size(), 6); }
 
     template <typename T>
@@ -53,11 +38,11 @@ class RowGatherer : public ::testing::Test {
 
     std::shared_ptr<gko::Executor> ref = gko::ReferenceExecutor::create();
     gko::experimental::mpi::communicator comm = MPI_COMM_WORLD;
-    std::shared_ptr<row_gatherer_type> rg;
 };
 
 TYPED_TEST_SUITE(RowGatherer, gko::test::IndexTypes, TypenameNameGenerator);
 
+
 TYPED_TEST(RowGatherer, CanDefaultConstruct)
 {
     using RowGatherer = typename TestFixture::row_gatherer_type;
@@ -103,164 +88,3 @@ TYPED_TEST(RowGatherer, CanConstructFromCollectiveCommAndIndexMap)
     gko::dim<2> size{recv_connections.get_size(), 18};
     GKO_ASSERT_EQUAL_DIMENSIONS(rg, size);
 }
-
-
-TYPED_TEST(RowGatherer, CanApply)
-{
-    using Dense = gko::matrix::Dense<double>;
-    using Vector = gko::experimental::distributed::Vector<double>;
-    int rank = this->comm.rank();
-    auto offset = static_cast<double>(rank * 3);
-    auto b = Vector::create(
-        this->ref, this->comm, gko::dim<2>{18, 1},
-        gko::initialize<Dense>({offset, offset + 1, offset + 2}, this->ref));
-    auto x = Dense::create(this->ref, gko::dim<2>{this->rg->get_size()[0], 1});
-
-    this->rg->apply(b, x);
-
-    auto expected = this->template create_recv_connections<double>()[rank];
-    auto expected_vec = Dense::create(
-        this->ref, gko::dim<2>{expected.get_size(), 1}, expected, 1);
-    GKO_ASSERT_MTX_NEAR(x, expected_vec, 0.0);
-}
-
-
-TYPED_TEST(RowGatherer, CanApplyAsync)
-{
-    using Dense = gko::matrix::Dense<double>;
-    using Vector = gko::experimental::distributed::Vector<double>;
-    int rank = this->comm.rank();
-    auto offset = static_cast<double>(rank * 3);
-    auto b = Vector::create(
-        this->ref, this->comm, gko::dim<2>{18, 1},
-        gko::initialize<Dense>({offset, offset + 1, offset + 2}, this->ref));
-    auto x = Dense::create(this->ref, gko::dim<2>{this->rg->get_size()[0], 1});
-
-    auto req = this->rg->apply_async(b, x);
-    req.wait();
-
-    auto expected = this->template create_recv_connections<double>()[rank];
-    auto expected_vec = Dense::create(
-        this->ref, gko::dim<2>{expected.get_size(), 1}, expected, 1);
-    GKO_ASSERT_MTX_NEAR(x, expected_vec, 0.0);
-}
-
-
-TYPED_TEST(RowGatherer, CanApplyAsyncConsequetively)
-{
-    using Dense = gko::matrix::Dense<double>;
-    using Vector = gko::experimental::distributed::Vector<double>;
-    int rank = this->comm.rank();
-    auto offset = static_cast<double>(rank * 3);
-    auto b = Vector::create(
-        this->ref, this->comm, gko::dim<2>{18, 1},
-        gko::initialize<Dense>({offset, offset + 1, offset + 2}, this->ref));
-    auto x = Dense::create(this->ref, gko::dim<2>{this->rg->get_size()[0], 1});
-
-    this->rg->apply_async(b, x).wait();
-    this->rg->apply_async(b, x).wait();
-
-    auto expected = this->template create_recv_connections<double>()[rank];
-    auto expected_vec = Dense::create(
-        this->ref, gko::dim<2>{expected.get_size(), 1}, expected, 1);
-    GKO_ASSERT_MTX_NEAR(x, expected_vec, 0.0);
-}
-
-
-TYPED_TEST(RowGatherer, CanApplyAsyncWithWorkspace)
-{
-    using Dense = gko::matrix::Dense<double>;
-    using Vector = gko::experimental::distributed::Vector<double>;
-    int rank = this->comm.rank();
-    auto offset = static_cast<double>(rank * 3);
-    auto b = Vector::create(
-        this->ref, this->comm, gko::dim<2>{18, 1},
-        gko::initialize<Dense>({offset, offset + 1, offset + 2}, this->ref));
-    auto x = Dense::create(this->ref, gko::dim<2>{this->rg->get_size()[0], 1});
-    gko::array<char> workspace(this->ref);
-
-    auto req = this->rg->apply_async(b, x, workspace);
-    req.wait();
-
-    auto expected = this->template create_recv_connections<double>()[rank];
-    auto expected_vec = Dense::create(
-        this->ref, gko::dim<2>{expected.get_size(), 1}, expected, 1);
-    GKO_ASSERT_MTX_NEAR(x, expected_vec, 0.0);
-}
-
-
-TYPED_TEST(RowGatherer, CanApplyAsyncMultipleTimesWithWorkspace)
-{
-    using Dense = gko::matrix::Dense<double>;
-    using Vector = gko::experimental::distributed::Vector<double>;
-    int rank = this->comm.rank();
-    auto offset = static_cast<double>(rank * 3);
-    auto b1 = Vector::create(
-        this->ref, this->comm, gko::dim<2>{18, 1},
-        gko::initialize<Dense>({offset, offset + 1, offset + 2}, this->ref));
-    auto b2 = gko::clone(b1);
-    b2->scale(gko::initialize<Dense>({-1}, this->ref));
-    auto x1 = Dense::create(this->ref, gko::dim<2>{this->rg->get_size()[0], 1});
-    auto x2 = gko::clone(x1);
-    gko::array<char> workspace1(this->ref);
-    gko::array<char> workspace2(this->ref);
-
-    auto req1 = this->rg->apply_async(b1, x1, workspace1);
-    auto req2 = this->rg->apply_async(b2, x2, workspace2);
-    req1.wait();
-    req2.wait();
-
-    auto expected = this->template create_recv_connections<double>()[rank];
-    auto expected_vec1 = Dense::create(
-        this->ref, gko::dim<2>{expected.get_size(), 1}, expected, 1);
-    auto expected_vec2 = gko::clone(expected_vec1);
-    expected_vec2->scale(gko::initialize<Dense>({-1}, this->ref));
-    GKO_ASSERT_MTX_NEAR(x1, expected_vec1, 0.0);
-    GKO_ASSERT_MTX_NEAR(x2, expected_vec2, 0.0);
-}
-
-
-TYPED_TEST(RowGatherer, CanApplyAsyncWithMultipleColumns)
-{
-    using Dense = gko::matrix::Dense<double>;
-    using Vector = gko::experimental::distributed::Vector<double>;
-    int rank = this->comm.rank();
-    auto offset = static_cast<double>(rank * 3);
-    auto b = Vector::create(
-        this->ref, this->comm, gko::dim<2>{18, 2},
-        gko::initialize<Dense>({{offset, offset * offset},
-                                {offset + 1, offset * offset + 1},
-                                {offset + 2, offset * offset + 2}},
-                               this->ref));
-    auto x = Dense::create(this->ref, gko::dim<2>{this->rg->get_size()[0], 2});
-
-    this->rg->apply_async(b, x).wait();
-
-    gko::array<double> expected[] = {
-        gko::array<double>{this->ref, {3, 9, 5, 11, 10, 82, 11, 83}},
-        gko::array<double>{this->ref, {0, 0, 1, 1, 7, 37, 12, 144, 13, 145}},
-        gko::array<double>{this->ref, {3, 9, 4, 10, 17, 227}},
-        gko::array<double>{this->ref, {1, 1, 2, 2, 12, 144, 14, 146}},
-        gko::array<double>{this->ref,
-                           {4, 10, 5, 11, 9, 81, 10, 82, 15, 225, 16, 226}},
-        gko::array<double>{this->ref, {8, 38, 12, 144, 13, 145, 14, 146}}};
-    auto expected_vec =
-        Dense::create(this->ref, gko::dim<2>{expected[rank].get_size() / 2, 2},
-                      expected[rank], 2);
-    GKO_ASSERT_MTX_NEAR(x, expected_vec, 0.0);
-}
-
-
-TYPED_TEST(RowGatherer, ThrowsOnAdvancedApply)
-{
-    using RowGatherer = typename TestFixture::row_gatherer_type;
-    using Dense = gko::matrix::Dense<double>;
-    using Vector = gko::experimental::distributed::Vector<double>;
-    auto rg = RowGatherer::create(this->ref, this->comm);
-    auto b = Vector::create(this->ref, this->comm);
-    auto x = Dense::create(this->ref);
-    auto alpha = Dense::create(this->ref, gko::dim<2>{1, 1});
-    auto beta = Dense::create(this->ref, gko::dim<2>{1, 1});
-
-    ASSERT_THROW(rg->apply(alpha, b, beta, x), gko::NotImplemented);
-}
diff --git a/include/ginkgo/core/base/mpi.hpp b/include/ginkgo/core/base/mpi.hpp
@@ -368,7 +368,6 @@ class request {
         return status;
     }
 
-
 private:
     MPI_Request req_;
 };

diff --git a/include/ginkgo/core/distributed/row_gatherer.hpp b/include/ginkgo/core/distributed/row_gatherer.hpp
@@ -33,19 +33,18 @@ namespace distributed {
  * Example usage:
  * ```c++
  * auto coll_comm = std::make_shared<mpi::neighborhood_communicator>(comm,
- * imap); auto rg = distributed::RowGatherer<int32>::create(exec, coll_comm,
- * imap);
+ *                                                                   imap);
+ * auto rg = distributed::RowGatherer<int32>::create(exec, coll_comm, imap);
  *
  * auto b = distributed::Vector<double>::create(...);
  * auto x = matrix::Dense<double>::create(...);
  *
- * auto future = rg->apply_async(b, x);
+ * auto req = rg->apply_async(b, x);
  * // do some computation that doesn't modify b, or access x
- * future.wait();
+ * req.wait();
  * // x now contains the gathered rows of b
  * ```
- * Using the apply instead of the apply_async will lead to a blocking
- * communication.
+ * Using apply instead of apply_async will lead to a blocking communication.
  *
  * @note Objects of this class are only available as shared_ptr, since the class
  *       is derived from std::enable_shared_from_this.

diff --git a/test/mpi/CMakeLists.txt b/test/mpi/CMakeLists.txt
@@ -1,7 +1,4 @@
-ginkgo_create_common_and_reference_test(matrix MPI_SIZE 3)
-ginkgo_create_common_and_reference_test(partition_helpers MPI_SIZE 3)
-ginkgo_create_common_and_reference_test(vector MPI_SIZE 3)
-
+add_subdirectory(distributed)
 add_subdirectory(preconditioner)
 add_subdirectory(solver)
 add_subdirectory(multigrid)
diff --git a/test/mpi/distributed/CMakeLists.txt b/test/mpi/distributed/CMakeLists.txt
@@ -0,0 +1,4 @@
+ginkgo_create_common_and_reference_test(matrix MPI_SIZE 3)
+ginkgo_create_common_and_reference_test(partition_helpers MPI_SIZE 3)
+ginkgo_create_common_and_reference_test(vector MPI_SIZE 3)
+ginkgo_create_common_and_reference_test(row_gatherer MPI_SIZE 6)
diff --git a/test/mpi/matrix.cpp → test/mpi/distributed/matrix.cpp b/test/mpi/matrix.cpp → test/mpi/distributed/matrix.cpp
diff --git a/test/mpi/partition_helpers.cpp → test/mpi/distributed/partition_helpers.cpp b/test/mpi/partition_helpers.cpp → test/mpi/distributed/partition_helpers.cpp
-Original file line number
+Diff line change
@@ Expand Up / @@ -368,7 +368,6 @@ class request { @@
             return status;
         }
     private:
         MPI_Request req_;
     };
@@ Expand Down @@