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Moved device code to mimic cuda header behavior

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1. All fp32, fp64 math device/host functions should be in math_functions.h/.cpp
2. All fp32, fp64 fast math intrinsics for device/host functions should be in device_functions.h/.cpp
3. All the device code implementations should be in device_util.h/.cpp
4. Hence, made changes appropriately by moving code and creating new header files
5. Added math_functions.cpp/.h
6. Changed #ifndef signature to make sure no conflicts between headers with same names in hip/hip_runtime.h and hip/hcc_detail/hip_runtime.h
7. Changed tests to fit the code changes, making them to include appropriate headers
8. Added math_functions.cpp to CMakeLists.txt
9. Some of the tests are still broken, mostly host math functions will fix them in next commit
10. TODO: FIX compilation issues for host math functions

Change-Id: I7a17637d7e294a7d224ffba932c1a08668febd26
This commit is contained in:
Aditya Atluri
2017-01-17 14:57:51 -06:00
parent 13ce9ece77
commit b723169ee9
30 changed files with 1759 additions and 1540 deletions
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tests/src/deviceLib/hipSinglePrecisionIntrinsics.cpp
+30 -29
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@@ -19,7 +19,8 @@ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
*/
#include "hip/hip_runtime.h"
#include <hip/hip_runtime.h>
#include <hip/device_functions.h>
#include "test_common.h"
#pragma GCC diagnostic ignored "-Wall"
@@ -30,44 +31,44 @@ __device__ void single_precision_intrinsics()
float fX, fY;
__cosf(0.0f);
//__exp10f(0.0f);
__exp10f(0.0f);
__expf(0.0f);
//__fadd_rd(0.0f, 1.0f);
//__fadd_rn(0.0f, 1.0f);
//__fadd_ru(0.0f, 1.0f);
//__fadd_rz(0.0f, 1.0f);
//__fdiv_rd(4.0f, 2.0f);
//__fdiv_rn(4.0f, 2.0f);
//__fdiv_ru(4.0f, 2.0f);
//__fdiv_rz(4.0f, 2.0f);
//__fdividef(4.0f, 2.0f);
//__fmaf_rd(1.0f, 2.0f, 3.0f);
//__fmaf_rn(1.0f, 2.0f, 3.0f);
//__fmaf_ru(1.0f, 2.0f, 3.0f);
//__fmaf_rz(1.0f, 2.0f, 3.0f);
//__fmul_rd(1.0f, 2.0f);
//__fmul_rn(1.0f, 2.0f);
//__fmul_ru(1.0f, 2.0f);
//__fmul_rz(1.0f, 2.0f);
//__frcp_rd(2.0f);
//__frcp_rn(2.0f);
//__frcp_ru(2.0f);
//__frcp_rz(2.0f);
__fadd_rd(0.0f, 1.0f);
__fadd_rn(0.0f, 1.0f);
__fadd_ru(0.0f, 1.0f);
__fadd_rz(0.0f, 1.0f);
__fdiv_rd(4.0f, 2.0f);
__fdiv_rn(4.0f, 2.0f);
__fdiv_ru(4.0f, 2.0f);
__fdiv_rz(4.0f, 2.0f);
__fdividef(4.0f, 2.0f);
__fmaf_rd(1.0f, 2.0f, 3.0f);
__fmaf_rn(1.0f, 2.0f, 3.0f);
__fmaf_ru(1.0f, 2.0f, 3.0f);
__fmaf_rz(1.0f, 2.0f, 3.0f);
__fmul_rd(1.0f, 2.0f);
__fmul_rn(1.0f, 2.0f);
__fmul_ru(1.0f, 2.0f);
__fmul_rz(1.0f, 2.0f);
__frcp_rd(2.0f);
__frcp_rn(2.0f);
__frcp_ru(2.0f);
__frcp_rz(2.0f);
__frsqrt_rn(4.0f);
__fsqrt_rd(4.0f);
__fsqrt_rn(4.0f);
__fsqrt_ru(4.0f);
__fsqrt_rz(4.0f);
//__fsub_rd(2.0f, 1.0f);
//__fsub_rn(2.0f, 1.0f);
//__fsub_ru(2.0f, 1.0f);
//__fsub_rz(2.0f, 1.0f);
__fsub_rd(2.0f, 1.0f);
__fsub_rn(2.0f, 1.0f);
__fsub_ru(2.0f, 1.0f);
__fsub_rz(2.0f, 1.0f);
__log10f(1.0f);
__log2f(1.0f);
__logf(1.0f);
__powf(1.0f, 0.0f);
//__saturatef(0.1f);
//__sincosf(0.0f, &fX, &fY);
__saturatef(0.1f);
__sincosf(0.0f, &fX, &fY);
__sinf(0.0f);
__tanf(0.0f);
}