check the failed tests

- use Csr in residual norm for half apply support - use higher tolerance for mc64 due to half range - some example can not finish in half precision for mc64 - skip some test in half due to half range - fix the half limit value Co-authored-by: Marcel Koch <[email protected]>
ginkgo-project · Sep 17, 2024 · e4268ed · e4268ed
1 parent 6438481
commit e4268ed
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Showing 7 changed files with 60 additions and 25 deletions.
diff --git a/core/reorder/mc64.cpp b/core/reorder/mc64.cpp
@@ -37,8 +37,8 @@ void initialize_weights(const matrix::Csr<ValueType, IndexType>* host_mtx,
                         array<remove_complex<ValueType>>& row_maxima_array,
                         gko::experimental::reorder::mc64_strategy strategy)
 {
-    constexpr auto inf =
-        std::numeric_limits<remove_complex<ValueType>>::infinity();
+    auto inf = static_cast<remove_complex<ValueType>>(
+        std::numeric_limits<remove_complex<ValueType>>::infinity());
     const auto num_rows = host_mtx->get_size()[0];
     const auto row_ptrs = host_mtx->get_const_row_ptrs();
     const auto col_idxs = host_mtx->get_const_col_idxs();
@@ -181,7 +181,8 @@ void shortest_augmenting_path(
     addressable_priority_queue<ValueType, IndexType>& queue,
     std::vector<IndexType>& q_j, ValueType tolerance)
 {
-    constexpr auto inf = std::numeric_limits<ValueType>::infinity();
+    auto inf =
+        static_cast<ValueType>(std::numeric_limits<ValueType>::infinity());
     auto weights = weights_array.get_data();
     auto dual_u = dual_u_array.get_data();
     auto distance = distance_array.get_data();
@@ -435,8 +436,8 @@ void compute_scaling(const matrix::Csr<ValueType, IndexType>* host_mtx,
                      mc64_strategy strategy, ValueType* row_scaling,
                      ValueType* col_scaling)
 {
-    constexpr auto inf =
-        std::numeric_limits<remove_complex<ValueType>>::infinity();
+    auto inf = static_cast<remove_complex<ValueType>>(
+        std::numeric_limits<remove_complex<ValueType>>::infinity());
     const auto num_rows = host_mtx->get_size()[0];
     const auto weights = weights_array.get_const_data();
     const auto dual_u = dual_u_array.get_const_data();
@@ -540,8 +541,8 @@ std::unique_ptr<LinOp> Mc64<ValueType, IndexType>::generate_impl(
     marked_cols.fill(0);
     matched_idxs.fill(0);
     unmatched_rows.fill(0);
-    constexpr auto inf =
-        std::numeric_limits<remove_complex<ValueType>>::infinity();
+    auto inf = static_cast<remove_complex<ValueType>>(
+        std::numeric_limits<remove_complex<ValueType>>::infinity());
     dual_u.fill(inf);
     distance.fill(inf);
 

diff --git a/include/ginkgo/core/base/half.hpp b/include/ginkgo/core/base/half.hpp
@@ -648,9 +648,17 @@ struct numeric_limits<gko::half> {
         return numeric_limits<float>::infinity();
     }
 
-    static constexpr float min() { return numeric_limits<float>::min(); }
+    static constexpr float min() { return 1.0f / (1ll << 14); }
 
-    static constexpr float max() { return numeric_limits<float>::max(); }
+    // The maximal exponent is 15, and the maximal significant is
+    // 1 + (2^-10 - 1) / 2^-10
+    static constexpr float max()
+    {
+        return (1ll << 15) *
+               (1.0f + static_cast<float>((1ll << 10) - 1) / (1ll << 10));
+    }
+
+    static constexpr float lowest() { return -max(); };
 
     static constexpr float quiet_NaN()
     {

diff --git a/reference/test/reorder/mc64.cpp b/reference/test/reorder/mc64.cpp
@@ -91,6 +91,7 @@ TYPED_TEST(Mc64, CanBeCreatedWithReorderingStrategy)
         reorder_type::build()
             .with_strategy(
                 gko::experimental::reorder::mc64_strategy::max_diagonal_sum)
+            .with_tolerance(1e-4)
             .on(this->exec)
             ->generate(this->not_id3_mtx);
 
@@ -123,7 +124,7 @@ TYPED_TEST(Mc64, CanBeCreatedWithTolerance)
     using real_type = typename TestFixture::real_type;
 
     auto mc64 = reorder_type::build()
-                    .with_tolerance(real_type{1e-10})
+                    .with_tolerance(real_type{1e-4})
                     .on(this->exec)
                     ->generate(this->id3_mtx);
 

diff --git a/reference/test/reorder/mc64_kernels.cpp b/reference/test/reorder/mc64_kernels.cpp
@@ -284,6 +284,7 @@ TYPED_TEST(Mc64, CreatesCorrectPermutationAndScalingExampleSum)
         gko::experimental::reorder::Mc64<value_type, index_type>::build()
             .with_strategy(
                 gko::experimental::reorder::mc64_strategy::max_diagonal_sum)
+            .with_tolerance(1e-4)
             .on(this->ref);
 
     auto mc64 = mc64_factory->generate(this->mtx);
@@ -307,6 +308,7 @@ TYPED_TEST(Mc64, CreatesCorrectPermutationAndScalingExampleProduct)
         gko::experimental::reorder::Mc64<value_type, index_type>::build()
             .with_strategy(
                 gko::experimental::reorder::mc64_strategy::max_diagonal_product)
+            .with_tolerance(1e-4)
             .on(this->ref);
     auto mc64 = mc64_factory->generate(this->mtx);
 
@@ -354,6 +356,7 @@ TYPED_TEST(Mc64, CreatesCorrectPermutationAndScalingLargeTrivialExampleProduct)
         gko::experimental::reorder::Mc64<value_type, index_type>::build()
             .with_strategy(
                 gko::experimental::reorder::mc64_strategy::max_diagonal_product)
+            .with_tolerance(1e-4)
             .on(this->ref);
     auto mc64 = mc64_factory->generate(mtx);
     // get components
@@ -362,7 +365,7 @@ TYPED_TEST(Mc64, CreatesCorrectPermutationAndScalingLargeTrivialExampleProduct)
 
     mtx = mtx->scale_permute(row_perm, col_perm);
 
-    GKO_ASSERT_MTX_NEAR(mtx, expected_result, r<value_type>::value);
+    GKO_ASSERT_MTX_NEAR(mtx, expected_result, 20 * r<value_type>::value);
 }
 
 
@@ -373,6 +376,8 @@ TYPED_TEST(Mc64, CreatesCorrectPermutationAndScalingLargeExampleProduct)
     using value_type = typename TestFixture::value_type;
     using matrix_type = typename TestFixture::matrix_type;
     using perm_type = typename TestFixture::perm_type;
+    // this example can not be finished in half precision
+    SKIP_IF_HALF(value_type);
     // read input data
     std::ifstream mtx_stream{gko::matrices::location_nontrivial_mc64_example};
     auto mtx = gko::share(gko::read<matrix_type>(mtx_stream, this->ref));

diff --git a/reference/test/solver/batch_bicgstab_kernels.cpp b/reference/test/solver/batch_bicgstab_kernels.cpp
@@ -105,8 +105,13 @@ TYPED_TEST(BatchBicgstab, StencilSystemLoggerLogsResidual)
         ASSERT_LE(
             res_log_array[i] / this->linear_system.host_rhs_norm->at(i, 0, 0),
             this->solver_settings.residual_tol);
-        ASSERT_NEAR(res_log_array[i], res.host_res_norm->get_const_values()[i],
-                    10 * this->eps);
+        if (!std::is_same<real_type, gko::half>::value) {
+            // There is no guarantee of this condition. We disable this check in
+            // half.
+            ASSERT_NEAR(res_log_array[i],
+                        res.host_res_norm->get_const_values()[i],
+                        10 * this->eps);
+        }
     }
 }
 
@@ -125,7 +130,7 @@ TYPED_TEST(BatchBicgstab, StencilSystemLoggerLogsIterations)
 
     auto iter_array = res.log_data->iter_counts.get_const_data();
     for (size_t i = 0; i < this->num_batch_items; i++) {
-        ASSERT_EQ(iter_array[i], ref_iters);
+        ASSERT_LE(iter_array[i], ref_iters);
     }
 }
 
@@ -136,7 +141,7 @@ TYPED_TEST(BatchBicgstab, CanSolveDenseSystem)
     using real_type = gko::remove_complex<value_type>;
     using Solver = typename TestFixture::solver_type;
     using Mtx = typename TestFixture::Mtx;
-    const real_type tol = 1e-5;
+    const real_type tol = 1e-4;
     const int max_iters = 1000;
     auto solver_factory =
         Solver::build()
@@ -161,7 +166,7 @@ TYPED_TEST(BatchBicgstab, CanSolveDenseSystem)
     for (size_t i = 0; i < num_batch_items; i++) {
         ASSERT_LE(res.host_res_norm->get_const_values()[i] /
                       linear_system.host_rhs_norm->get_const_values()[i],
-                  tol);
+                  tol * 10);
     }
 }
 
@@ -173,7 +178,7 @@ TYPED_TEST(BatchBicgstab, ApplyLogsResAndIters)
     using Solver = typename TestFixture::solver_type;
     using Mtx = typename TestFixture::Mtx;
     using Logger = gko::batch::log::BatchConvergence<value_type>;
-    const real_type tol = 1e-5;
+    const real_type tol = 1e-4;
     const int max_iters = 1000;
     auto solver_factory =
         Solver::build()
@@ -216,7 +221,7 @@ TYPED_TEST(BatchBicgstab, CanSolveEllSystem)
     using real_type = gko::remove_complex<value_type>;
     using Solver = typename TestFixture::solver_type;
     using Mtx = typename TestFixture::EllMtx;
-    const real_type tol = 1e-5;
+    const real_type tol = 1e-4;
     const int max_iters = 1000;
     auto solver_factory =
         Solver::build()
@@ -252,7 +257,7 @@ TYPED_TEST(BatchBicgstab, CanSolveCsrSystem)
     using real_type = gko::remove_complex<value_type>;
     using Solver = typename TestFixture::solver_type;
     using Mtx = typename TestFixture::CsrMtx;
-    const real_type tol = 1e-5;
+    const real_type tol = 1e-4;
     const int max_iters = 1000;
     auto solver_factory =
         Solver::build()
@@ -288,6 +293,7 @@ TYPED_TEST(BatchBicgstab, CanSolveDenseHpdSystem)
     using real_type = gko::remove_complex<value_type>;
     using Solver = typename TestFixture::solver_type;
     using Mtx = typename TestFixture::Mtx;
+    SKIP_IF_HALF(value_type);
     const real_type tol = 1e-5;
     const int max_iters = 1000;
     auto solver_factory =

diff --git a/reference/test/solver/batch_cg_kernels.cpp b/reference/test/solver/batch_cg_kernels.cpp
@@ -80,7 +80,7 @@ TYPED_TEST(BatchCg, SolvesStencilSystem)
     for (size_t i = 0; i < this->num_batch_items; i++) {
         ASSERT_LE(res.host_res_norm->get_const_values()[i] /
                       this->linear_system.host_rhs_norm->get_const_values()[i],
-                  this->solver_settings.residual_tol);
+                  5 * this->solver_settings.residual_tol);
     }
     GKO_ASSERT_BATCH_MTX_NEAR(res.x, this->linear_system.exact_sol,
                               this->eps * 10);
@@ -101,8 +101,13 @@ TYPED_TEST(BatchCg, StencilSystemLoggerLogsResidual)
         ASSERT_LE(
             res_log_array[i] / this->linear_system.host_rhs_norm->at(i, 0, 0),
             this->solver_settings.residual_tol);
-        ASSERT_NEAR(res_log_array[i], res.host_res_norm->get_const_values()[i],
-                    10 * this->eps);
+        if (!std::is_same<real_type, gko::half>::value) {
+            // There is no guarantee of this condition. We disable this check in
+            // half.
+            ASSERT_NEAR(res_log_array[i],
+                        res.host_res_norm->get_const_values()[i],
+                        10 * this->eps);
+        }
     }
 }
 
@@ -133,6 +138,7 @@ TYPED_TEST(BatchCg, ApplyLogsResAndIters)
     using Solver = typename TestFixture::solver_type;
     using Mtx = typename TestFixture::Mtx;
     using Logger = gko::batch::log::BatchConvergence<value_type>;
+    SKIP_IF_HALF(value_type);
     const real_type tol = 1e-6;
     const int max_iters = 1000;
     auto solver_factory =
@@ -174,6 +180,7 @@ TYPED_TEST(BatchCg, CanSolveHpdSystem)
     using real_type = gko::remove_complex<value_type>;
     using Solver = typename TestFixture::solver_type;
     using Mtx = typename TestFixture::Mtx;
+    SKIP_IF_HALF(value_type);
     const real_type tol = 1e-6;
     const int max_iters = 1000;
     auto solver_factory =

diff --git a/test/stop/residual_norm_kernels.cpp b/test/stop/residual_norm_kernels.cpp
@@ -5,6 +5,7 @@
 #include <gtest/gtest.h>
 
 #include <ginkgo/core/base/math.hpp>
+#include <ginkgo/core/matrix/csr.hpp>
 #include <ginkgo/core/stop/residual_norm.hpp>
 
 #include "core/test/utils.hpp"
@@ -81,13 +82,16 @@ TYPED_TEST(ResidualNorm, CanIgorneResidualNorm)
                  gko::NotSupported);
 }
 
+
 TYPED_TEST(ResidualNorm, CheckIfResZeroConverges)
 {
     using Mtx = typename TestFixture::Mtx;
     using NormVector = typename TestFixture::NormVector;
     using T = typename TestFixture::ValueType;
+    // use csr to use half apply
+    using Csr = gko::matrix::Csr<T>;
     using mode = gko::stop::mode;
-    std::shared_ptr<gko::LinOp> mtx = gko::initialize<Mtx>({1.0}, this->exec);
+    std::shared_ptr<gko::LinOp> mtx = gko::initialize<Csr>({1.0}, this->exec);
     std::shared_ptr<gko::LinOp> rhs = gko::initialize<Mtx>({0.0}, this->exec);
     std::shared_ptr<gko::LinOp> x = gko::initialize<Mtx>({0.0}, this->exec);
     std::shared_ptr<gko::LinOp> res_norm =
@@ -117,6 +121,7 @@ TYPED_TEST(ResidualNorm, CheckIfResZeroConverges)
     }
 }
 
+
 TYPED_TEST(ResidualNorm, WaitsTillResidualGoal)
 {
     using Mtx = typename TestFixture::Mtx;
@@ -547,10 +552,12 @@ TYPED_TEST_SUITE(ImplicitResidualNorm, gko::test::ValueTypes,
 
 TYPED_TEST(ImplicitResidualNorm, CheckIfResZeroConverges)
 {
-    using Mtx = typename TestFixture::Mtx;
     using T = typename TestFixture::ValueType;
+    using Mtx = typename TestFixture::Mtx;
+    // use csr to use half apply
+    using Csr = gko::matrix::Csr<T>;
     using gko::stop::mode;
-    std::shared_ptr<gko::LinOp> mtx = gko::initialize<Mtx>({1.0}, this->exec);
+    std::shared_ptr<gko::LinOp> mtx = gko::initialize<Csr>({1.0}, this->exec);
     std::shared_ptr<gko::LinOp> rhs = gko::initialize<Mtx>({0.0}, this->exec);
     std::shared_ptr<gko::LinOp> x = gko::initialize<Mtx>({0.0}, this->exec);
     std::shared_ptr<gko::LinOp> implicit_sq_res_norm =