cutlass/test/unit/core/half.cu
Andrew Kerr c53f3339bb
CUTLASS 2.3 initial commit (#134)
CUTLASS 2.3 adds GEMMs targeting Sparse Tensor Cores on the NVIDIA Ampere Architecture, fast SGEMM, and small matrix classes, bug fixes, and performance enhancements.
2020-09-23 14:00:58 -07:00

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/***************************************************************************************************
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/*! \file
\brief Statically sized array of elements that accommodates all CUTLASS-supported numeric types
and is safe to use in a union.
*/
#include "../common/cutlass_unit_test.h"
#include "cutlass/array.h"
#include "cutlass/numeric_conversion.h"
#include "cutlass/util/device_memory.h"
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Host
//
/////////////////////////////////////////////////////////////////////////////////////////////////
TEST(half_t, host_conversion) {
for (int i = -1024; i < 1024; ++i) {
float f = static_cast<float>(i);
cutlass::half_t x = static_cast<cutlass::half_t>(i);
cutlass::half_t y = static_cast<cutlass::half_t>(f);
EXPECT_TRUE(static_cast<int>(x) == i);
EXPECT_TRUE(static_cast<float>(y) == f);
}
// Try out default-ctor (zero initialization of primitive proxy type)
EXPECT_TRUE(cutlass::half_t() == 0.0_hf);
// Try out user-defined literals
EXPECT_TRUE(cutlass::half_t(7) == 7_hf);
EXPECT_TRUE(7 == static_cast<int>(7_hf));
}
TEST(half_t, host_arithmetic) {
for (int i = -100; i < 100; ++i) {
for (int j = -100; j < 100; ++j) {
cutlass::half_t x = static_cast<cutlass::half_t>(i);
cutlass::half_t y = static_cast<cutlass::half_t>(j);
EXPECT_TRUE(static_cast<int>(x + y) == (i + j));
}
}
for (int i = -6; i < 6; ++i) {
for (int j = -6; j < 6; ++j) {
cutlass::half_t x = static_cast<cutlass::half_t>(i);
cutlass::half_t y = static_cast<cutlass::half_t>(j);
EXPECT_TRUE(static_cast<int>(x * y) == (i * j));
}
}
}
/////////////////////////////////////////////////////////////////////////////////////////////////