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authorGravatar Antonio Sanchez <cantonios@google.com>2021-03-25 12:37:25 -0700
committerGravatar Antonio Sánchez <cantonios@google.com>2021-03-30 18:01:27 +0000
commit78ee3d6261ec6971fcd8fdda6ee040962edde1dc (patch)
tree77cdb5976e9dc4a8ec7630ed235ac37a8b561b36 /test
parentaf1247fbc160868d124f7f1047a62026eb785d68 (diff)
Fix CUDA constexpr issues for numeric_limits.
Some CUDA/HIP constants fail on device with `constexpr` since they internally rely on non-constexpr functions, e.g. ``` \#define CUDART_INF_F __int_as_float(0x7f800000) ``` This fails for cuda-clang (though passes with nvcc). These constants are currently used by `device::numeric_limits`. For portability, we need to remove `constexpr` from the affected functions. For C++11 or higher, we should be able to rely on the `std::numeric_limits` versions anyways, since the methods themselves are now `constexpr`, so should be supported on device (clang/hipcc natively, nvcc with `--expr-relaxed-constexpr`).
Diffstat (limited to 'test')
-rw-r--r--test/gpu_basic.cu18
1 files changed, 18 insertions, 0 deletions
diff --git a/test/gpu_basic.cu b/test/gpu_basic.cu
index b2e657e72..bf8dcacde 100644
--- a/test/gpu_basic.cu
+++ b/test/gpu_basic.cu
@@ -343,6 +343,21 @@ struct matrix_inverse {
}
};
+template<typename T>
+struct numeric_limits_test {
+ EIGEN_DEVICE_FUNC
+ void operator()(int i, const typename T::Scalar* in, typename T::Scalar* out) const
+ {
+ EIGEN_UNUSED_VARIABLE(in)
+ int out_idx = i * 5;
+ out[out_idx++] = numext::numeric_limits<float>::epsilon();
+ out[out_idx++] = (numext::numeric_limits<float>::max)();
+ out[out_idx++] = (numext::numeric_limits<float>::min)();
+ out[out_idx++] = numext::numeric_limits<float>::infinity();
+ out[out_idx++] = numext::numeric_limits<float>::quiet_NaN();
+ }
+};
+
template<typename Type1, typename Type2>
bool verifyIsApproxWithInfsNans(const Type1& a, const Type2& b, typename Type1::Scalar* = 0) // Enabled for Eigen's type only
{
@@ -434,6 +449,9 @@ EIGEN_DECLARE_TEST(gpu_basic)
CALL_SUBTEST( run_and_compare_to_gpu(complex_operators<Vector3cf>(), nthreads, cfin, cfout) );
CALL_SUBTEST( test_with_infs_nans(complex_sqrt<Vector3cf>(), nthreads, cfin, cfout) );
+ // numeric_limits
+ CALL_SUBTEST( test_with_infs_nans(numeric_limits_test<Vector3f>(), 1, in, out) );
+
#if defined(__NVCC__)
// FIXME
// These subtests compiles only with nvcc and fail with HIPCC and clang-cuda