mirror of
https://github.com/KhronosGroup/OpenCL-CTS.git
synced 2026-03-21 14:59:02 +00:00
Move code around to reduce differences (#1185)
Code is moved to reduce the differences between tests for single- and double-precision. Improve consistency in double-literal. Signed-off-by: Marco Antognini <marco.antognini@arm.com>
This commit is contained in:
@@ -186,8 +186,8 @@ static const double specialValuesDouble[] = {
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MAKE_HEX_DOUBLE(-0x1.0000000000001p31, -0x10000000000001LL, -21),
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MAKE_HEX_DOUBLE(-0x1.0p31, -0x1LL, 31),
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MAKE_HEX_DOUBLE(-0x1.fffffffffffffp30, -0x1fffffffffffffLL, -22),
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-1000.,
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-100.,
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-1000.0,
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-100.0,
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-4.0,
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-3.5,
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-3.0,
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@@ -240,8 +240,8 @@ static const double specialValuesDouble[] = {
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MAKE_HEX_DOUBLE(+0x1.0000000000001p31, +0x10000000000001LL, -21),
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MAKE_HEX_DOUBLE(+0x1.0p31, +0x1LL, 31),
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MAKE_HEX_DOUBLE(+0x1.fffffffffffffp30, +0x1fffffffffffffLL, -22),
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+1000.,
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+100.,
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+1000.0,
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+100.0,
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+4.0,
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+3.5,
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+3.0,
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@@ -126,6 +126,45 @@ static cl_int BuildKernel_FloatFn(cl_uint job_id, cl_uint thread_id UNUSED,
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info->kernels[i], info->programs + i, info->relaxedMode);
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}
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// Thread specific data for a worker thread
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typedef struct ThreadInfo
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{
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cl_mem inBuf; // input buffer for the thread
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cl_mem inBuf2; // input buffer for the thread
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cl_mem outBuf[VECTOR_SIZE_COUNT]; // output buffers for the thread
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float maxError; // max error value. Init to 0.
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double
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maxErrorValue; // position of the max error value (param 1). Init to 0.
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double maxErrorValue2; // position of the max error value (param 2). Init
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// to 0.
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MTdata d;
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cl_command_queue tQueue; // per thread command queue to improve performance
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} ThreadInfo;
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typedef struct TestInfo
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{
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size_t subBufferSize; // Size of the sub-buffer in elements
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const Func *f; // A pointer to the function info
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cl_program programs[VECTOR_SIZE_COUNT]; // programs for various vector sizes
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cl_kernel
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*k[VECTOR_SIZE_COUNT]; // arrays of thread-specific kernels for each
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// worker thread: k[vector_size][thread_id]
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ThreadInfo *
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tinfo; // An array of thread specific information for each worker thread
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cl_uint threadCount; // Number of worker threads
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cl_uint jobCount; // Number of jobs
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cl_uint step; // step between each chunk and the next.
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cl_uint scale; // stride between individual test values
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float ulps; // max_allowed ulps
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int ftz; // non-zero if running in flush to zero mode
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int isFDim;
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int skipNanInf;
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int isNextafter;
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bool relaxedMode; // True if test is running in relaxed mode, false
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// otherwise.
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} TestInfo;
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// A table of more difficult cases to get right
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static const float specialValuesFloat[] = {
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-NAN,
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@@ -226,50 +265,12 @@ static const float specialValuesFloat[] = {
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MAKE_HEX_FLOAT(+0x0.000006p-126f, +0x0000006L, -150),
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MAKE_HEX_FLOAT(+0x0.000004p-126f, +0x0000004L, -150),
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MAKE_HEX_FLOAT(+0x0.000002p-126f, +0x0000002L, -150),
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+0.0f
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+0.0f,
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};
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static const size_t specialValuesFloatCount =
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sizeof(specialValuesFloat) / sizeof(specialValuesFloat[0]);
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// Thread specific data for a worker thread
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typedef struct ThreadInfo
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{
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cl_mem inBuf; // input buffer for the thread
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cl_mem inBuf2; // input buffer for the thread
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cl_mem outBuf[VECTOR_SIZE_COUNT]; // output buffers for the thread
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float maxError; // max error value. Init to 0.
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double
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maxErrorValue; // position of the max error value (param 1). Init to 0.
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double maxErrorValue2; // position of the max error value (param 2). Init
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// to 0.
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MTdata d;
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cl_command_queue tQueue; // per thread command queue to improve performance
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} ThreadInfo;
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typedef struct TestInfo
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{
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size_t subBufferSize; // Size of the sub-buffer in elements
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const Func *f; // A pointer to the function info
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cl_program programs[VECTOR_SIZE_COUNT]; // programs for various vector sizes
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cl_kernel
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*k[VECTOR_SIZE_COUNT]; // arrays of thread-specific kernels for each
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// worker thread: k[vector_size][thread_id]
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ThreadInfo *
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tinfo; // An array of thread specific information for each worker thread
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cl_uint threadCount; // Number of worker threads
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cl_uint jobCount; // Number of jobs
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cl_uint step; // step between each chunk and the next.
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cl_uint scale; // stride between individual test values
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float ulps; // max_allowed ulps
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int ftz; // non-zero if running in flush to zero mode
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int isFDim;
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int skipNanInf;
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int isNextafter;
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bool relaxedMode; // True if test is running in relaxed mode, false
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// otherwise.
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} TestInfo;
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static cl_int TestFloat(cl_uint job_id, cl_uint thread_id, void *p);
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@@ -181,8 +181,8 @@ static const double specialValuesDouble[] = {
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MAKE_HEX_DOUBLE(-0x1.0000000000001p31, -0x10000000000001LL, -21),
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MAKE_HEX_DOUBLE(-0x1.0p31, -0x1LL, 31),
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MAKE_HEX_DOUBLE(-0x1.fffffffffffffp30, -0x1fffffffffffffLL, -22),
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-1000.,
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-100.,
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-1000.0,
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-100.0,
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-4.0,
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-3.5,
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-3.0,
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@@ -235,8 +235,8 @@ static const double specialValuesDouble[] = {
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MAKE_HEX_DOUBLE(+0x1.0000000000001p31, +0x10000000000001LL, -21),
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MAKE_HEX_DOUBLE(+0x1.0p31, +0x1LL, 31),
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MAKE_HEX_DOUBLE(+0x1.fffffffffffffp30, +0x1fffffffffffffLL, -22),
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+1000.,
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+100.,
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+1000.0,
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+100.0,
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+4.0,
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+3.5,
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+3.0,
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@@ -125,6 +125,41 @@ static cl_int BuildKernel_FloatFn(cl_uint job_id, cl_uint thread_id UNUSED,
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info->kernels[i], info->programs + i, info->relaxedMode);
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}
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// Thread specific data for a worker thread
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typedef struct ThreadInfo
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{
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cl_mem inBuf; // input buffer for the thread
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cl_mem inBuf2; // input buffer for the thread
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cl_mem outBuf[VECTOR_SIZE_COUNT]; // output buffers for the thread
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float maxError; // max error value. Init to 0.
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double
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maxErrorValue; // position of the max error value (param 1). Init to 0.
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cl_int maxErrorValue2; // position of the max error value (param 2). Init
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// to 0.
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MTdata d;
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cl_command_queue tQueue; // per thread command queue to improve performance
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} ThreadInfo;
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typedef struct TestInfo
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{
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size_t subBufferSize; // Size of the sub-buffer in elements
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const Func *f; // A pointer to the function info
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cl_program programs[VECTOR_SIZE_COUNT]; // programs for various vector sizes
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cl_kernel
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*k[VECTOR_SIZE_COUNT]; // arrays of thread-specific kernels for each
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// worker thread: k[vector_size][thread_id]
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ThreadInfo *
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tinfo; // An array of thread specific information for each worker thread
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cl_uint threadCount; // Number of worker threads
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cl_uint jobCount; // Number of jobs
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cl_uint step; // step between each chunk and the next.
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cl_uint scale; // stride between individual test values
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float ulps; // max_allowed ulps
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int ftz; // non-zero if running in flush to zero mode
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// no special values
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} TestInfo;
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// A table of more difficult cases to get right
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static const float specialValuesFloat[] = {
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-NAN,
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@@ -225,7 +260,7 @@ static const float specialValuesFloat[] = {
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MAKE_HEX_FLOAT(+0x0.000006p-126f, +0x0000006L, -150),
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MAKE_HEX_FLOAT(+0x0.000004p-126f, +0x0000004L, -150),
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MAKE_HEX_FLOAT(+0x0.000002p-126f, +0x0000002L, -150),
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+0.0f
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+0.0f,
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};
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static const size_t specialValuesFloatCount =
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@@ -240,41 +275,6 @@ static const int specialValuesInt[] = {
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static size_t specialValuesIntCount =
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sizeof(specialValuesInt) / sizeof(specialValuesInt[0]);
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// Thread specific data for a worker thread
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typedef struct ThreadInfo
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{
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cl_mem inBuf; // input buffer for the thread
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cl_mem inBuf2; // input buffer for the thread
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cl_mem outBuf[VECTOR_SIZE_COUNT]; // output buffers for the thread
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float maxError; // max error value. Init to 0.
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double
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maxErrorValue; // position of the max error value (param 1). Init to 0.
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cl_int maxErrorValue2; // position of the max error value (param 2). Init
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// to 0.
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MTdata d;
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cl_command_queue tQueue; // per thread command queue to improve performance
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} ThreadInfo;
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typedef struct TestInfo
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{
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size_t subBufferSize; // Size of the sub-buffer in elements
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const Func *f; // A pointer to the function info
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cl_program programs[VECTOR_SIZE_COUNT]; // programs for various vector sizes
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cl_kernel
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*k[VECTOR_SIZE_COUNT]; // arrays of thread-specific kernels for each
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// worker thread: k[vector_size][thread_id]
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ThreadInfo *
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tinfo; // An array of thread specific information for each worker thread
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cl_uint threadCount; // Number of worker threads
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cl_uint jobCount; // Number of jobs
|
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cl_uint step; // step between each chunk and the next.
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cl_uint scale; // stride between individual test values
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float ulps; // max_allowed ulps
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int ftz; // non-zero if running in flush to zero mode
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// no special values
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} TestInfo;
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static cl_int TestFloat(cl_uint job_id, cl_uint thread_id, void *p);
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int TestFunc_Float_Float_Int(const Func *f, MTdata d, bool relaxedMode)
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@@ -241,8 +241,8 @@ static const double specialValuesDouble[] = {
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MAKE_HEX_DOUBLE(+0x1.0000000000001p31, +0x10000000000001LL, -21),
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MAKE_HEX_DOUBLE(+0x1.0p31, +0x1LL, 31),
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MAKE_HEX_DOUBLE(+0x1.fffffffffffffp30, +0x1fffffffffffffLL, -22),
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+1000.,
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+100.,
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+1000.0,
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+100.0,
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+4.0,
|
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+3.5,
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+3.0,
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|
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@@ -130,6 +130,43 @@ static cl_int BuildKernel_FloatFn(cl_uint job_id, cl_uint thread_id UNUSED,
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info->kernels[i], info->programs + i, info->relaxedMode);
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}
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||||
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// Thread specific data for a worker thread
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typedef struct ThreadInfo
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{
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cl_mem inBuf; // input buffer for the thread
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cl_mem inBuf2; // input buffer for the thread
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cl_mem outBuf[VECTOR_SIZE_COUNT]; // output buffers for the thread
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||||
float maxError; // max error value. Init to 0.
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double
|
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maxErrorValue; // position of the max error value (param 1). Init to 0.
|
||||
double maxErrorValue2; // position of the max error value (param 2). Init
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// to 0.
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MTdata d;
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cl_command_queue tQueue; // per thread command queue to improve performance
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} ThreadInfo;
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typedef struct TestInfo
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{
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size_t subBufferSize; // Size of the sub-buffer in elements
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const Func *f; // A pointer to the function info
|
||||
cl_program programs[VECTOR_SIZE_COUNT]; // programs for various vector sizes
|
||||
cl_kernel
|
||||
*k[VECTOR_SIZE_COUNT]; // arrays of thread-specific kernels for each
|
||||
// worker thread: k[vector_size][thread_id]
|
||||
ThreadInfo *
|
||||
tinfo; // An array of thread specific information for each worker thread
|
||||
cl_uint threadCount; // Number of worker threads
|
||||
cl_uint jobCount; // Number of jobs
|
||||
cl_uint step; // step between each chunk and the next.
|
||||
cl_uint scale; // stride between individual test values
|
||||
float ulps; // max_allowed ulps
|
||||
int ftz; // non-zero if running in flush to zero mode
|
||||
bool relaxedMode; // True if the test is being run in relaxed mode, false
|
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// otherwise.
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|
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// no special fields
|
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} TestInfo;
|
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|
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// A table of more difficult cases to get right
|
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static const float specialValuesFloat[] = {
|
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-NAN,
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@@ -230,49 +267,12 @@ static const float specialValuesFloat[] = {
|
||||
MAKE_HEX_FLOAT(+0x0.000006p-126f, +0x0000006L, -150),
|
||||
MAKE_HEX_FLOAT(+0x0.000004p-126f, +0x0000004L, -150),
|
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MAKE_HEX_FLOAT(+0x0.000002p-126f, +0x0000002L, -150),
|
||||
+0.0f
|
||||
+0.0f,
|
||||
};
|
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|
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static const size_t specialValuesFloatCount =
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sizeof(specialValuesFloat) / sizeof(specialValuesFloat[0]);
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||||
|
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// Thread specific data for a worker thread
|
||||
typedef struct ThreadInfo
|
||||
{
|
||||
cl_mem inBuf; // input buffer for the thread
|
||||
cl_mem inBuf2; // input buffer for the thread
|
||||
cl_mem outBuf[VECTOR_SIZE_COUNT]; // output buffers for the thread
|
||||
float maxError; // max error value. Init to 0.
|
||||
double
|
||||
maxErrorValue; // position of the max error value (param 1). Init to 0.
|
||||
double maxErrorValue2; // position of the max error value (param 2). Init
|
||||
// to 0.
|
||||
MTdata d;
|
||||
cl_command_queue tQueue; // per thread command queue to improve performance
|
||||
} ThreadInfo;
|
||||
|
||||
typedef struct TestInfo
|
||||
{
|
||||
size_t subBufferSize; // Size of the sub-buffer in elements
|
||||
const Func *f; // A pointer to the function info
|
||||
cl_program programs[VECTOR_SIZE_COUNT]; // programs for various vector sizes
|
||||
cl_kernel
|
||||
*k[VECTOR_SIZE_COUNT]; // arrays of thread-specific kernels for each
|
||||
// worker thread: k[vector_size][thread_id]
|
||||
ThreadInfo *
|
||||
tinfo; // An array of thread specific information for each worker thread
|
||||
cl_uint threadCount; // Number of worker threads
|
||||
cl_uint jobCount; // Number of jobs
|
||||
cl_uint step; // step between each chunk and the next.
|
||||
cl_uint scale; // stride between individual test values
|
||||
float ulps; // max_allowed ulps
|
||||
int ftz; // non-zero if running in flush to zero mode
|
||||
bool relaxedMode; // True if the test is being run in relaxed mode, false
|
||||
// otherwise.
|
||||
|
||||
// no special fields
|
||||
} TestInfo;
|
||||
|
||||
static cl_int TestFloat(cl_uint job_id, cl_uint thread_id, void *p);
|
||||
|
||||
int TestFunc_Float_Float_Float_Operator(const Func *f, MTdata d,
|
||||
|
||||
@@ -173,8 +173,8 @@ static const double specialValuesDouble[] = {
|
||||
MAKE_HEX_DOUBLE(-0x1.0000000000001p31, -0x10000000000001LL, -21),
|
||||
MAKE_HEX_DOUBLE(-0x1.0p31, -0x1LL, 31),
|
||||
MAKE_HEX_DOUBLE(-0x1.fffffffffffffp30, -0x1fffffffffffffLL, -22),
|
||||
-1000.,
|
||||
-100.,
|
||||
-1000.0,
|
||||
-100.0,
|
||||
-4.0,
|
||||
-3.5,
|
||||
-3.0,
|
||||
@@ -227,8 +227,8 @@ static const double specialValuesDouble[] = {
|
||||
MAKE_HEX_DOUBLE(+0x1.0000000000001p31, +0x10000000000001LL, -21),
|
||||
MAKE_HEX_DOUBLE(+0x1.0p31, +0x1LL, 31),
|
||||
MAKE_HEX_DOUBLE(+0x1.fffffffffffffp30, +0x1fffffffffffffLL, -22),
|
||||
+1000.,
|
||||
+100.,
|
||||
+1000.0,
|
||||
+100.0,
|
||||
+4.0,
|
||||
+3.5,
|
||||
+3.0,
|
||||
|
||||
@@ -124,6 +124,34 @@ static cl_int BuildKernel_FloatFn(cl_uint job_id, cl_uint thread_id UNUSED,
|
||||
info->kernels[i], info->programs + i, info->relaxedMode);
|
||||
}
|
||||
|
||||
// Thread specific data for a worker thread
|
||||
typedef struct ThreadInfo
|
||||
{
|
||||
cl_mem inBuf; // input buffer for the thread
|
||||
cl_mem inBuf2; // input buffer for the thread
|
||||
cl_mem outBuf[VECTOR_SIZE_COUNT]; // output buffers for the thread
|
||||
MTdata d;
|
||||
cl_command_queue tQueue; // per thread command queue to improve performance
|
||||
} ThreadInfo;
|
||||
|
||||
typedef struct TestInfo
|
||||
{
|
||||
size_t subBufferSize; // Size of the sub-buffer in elements
|
||||
const Func *f; // A pointer to the function info
|
||||
cl_program programs[VECTOR_SIZE_COUNT]; // programs for various vector sizes
|
||||
cl_kernel
|
||||
*k[VECTOR_SIZE_COUNT]; // arrays of thread-specific kernels for each
|
||||
// worker thread: k[vector_size][thread_id]
|
||||
ThreadInfo *
|
||||
tinfo; // An array of thread specific information for each worker thread
|
||||
cl_uint threadCount; // Number of worker threads
|
||||
cl_uint jobCount; // Number of jobs
|
||||
cl_uint step; // step between each chunk and the next.
|
||||
cl_uint scale; // stride between individual test values
|
||||
int ftz; // non-zero if running in flush to zero mode
|
||||
|
||||
} TestInfo;
|
||||
|
||||
// A table of more difficult cases to get right
|
||||
static const float specialValuesFloat[] = {
|
||||
-NAN,
|
||||
@@ -224,40 +252,12 @@ static const float specialValuesFloat[] = {
|
||||
MAKE_HEX_FLOAT(+0x0.000006p-126f, +0x0000006L, -150),
|
||||
MAKE_HEX_FLOAT(+0x0.000004p-126f, +0x0000004L, -150),
|
||||
MAKE_HEX_FLOAT(+0x0.000002p-126f, +0x0000002L, -150),
|
||||
+0.0f
|
||||
+0.0f,
|
||||
};
|
||||
|
||||
static const size_t specialValuesFloatCount =
|
||||
sizeof(specialValuesFloat) / sizeof(specialValuesFloat[0]);
|
||||
|
||||
// Thread specific data for a worker thread
|
||||
typedef struct ThreadInfo
|
||||
{
|
||||
cl_mem inBuf; // input buffer for the thread
|
||||
cl_mem inBuf2; // input buffer for the thread
|
||||
cl_mem outBuf[VECTOR_SIZE_COUNT]; // output buffers for the thread
|
||||
MTdata d;
|
||||
cl_command_queue tQueue; // per thread command queue to improve performance
|
||||
} ThreadInfo;
|
||||
|
||||
typedef struct TestInfo
|
||||
{
|
||||
size_t subBufferSize; // Size of the sub-buffer in elements
|
||||
const Func *f; // A pointer to the function info
|
||||
cl_program programs[VECTOR_SIZE_COUNT]; // programs for various vector sizes
|
||||
cl_kernel
|
||||
*k[VECTOR_SIZE_COUNT]; // arrays of thread-specific kernels for each
|
||||
// worker thread: k[vector_size][thread_id]
|
||||
ThreadInfo *
|
||||
tinfo; // An array of thread specific information for each worker thread
|
||||
cl_uint threadCount; // Number of worker threads
|
||||
cl_uint jobCount; // Number of jobs
|
||||
cl_uint step; // step between each chunk and the next.
|
||||
cl_uint scale; // stride between individual test values
|
||||
int ftz; // non-zero if running in flush to zero mode
|
||||
|
||||
} TestInfo;
|
||||
|
||||
static cl_int TestFloat(cl_uint job_id, cl_uint thread_id, void *p);
|
||||
|
||||
int TestMacro_Int_Float_Float(const Func *f, MTdata d, bool relaxedMode)
|
||||
|
||||
@@ -208,7 +208,7 @@ static const float specialValuesFloat[] = {
|
||||
MAKE_HEX_FLOAT(+0x0.000006p-126f, +0x0000006L, -150),
|
||||
MAKE_HEX_FLOAT(+0x0.000004p-126f, +0x0000004L, -150),
|
||||
MAKE_HEX_FLOAT(+0x0.000002p-126f, +0x0000002L, -150),
|
||||
+0.0f
|
||||
+0.0f,
|
||||
};
|
||||
|
||||
static const size_t specialValuesFloatCount =
|
||||
|
||||
@@ -160,244 +160,7 @@ typedef struct TestInfo
|
||||
// otherwise.
|
||||
} TestInfo;
|
||||
|
||||
static cl_int TestDouble(cl_uint job_id, cl_uint thread_id, void *data)
|
||||
{
|
||||
const TestInfo *job = (const TestInfo *)data;
|
||||
size_t buffer_elements = job->subBufferSize;
|
||||
size_t buffer_size = buffer_elements * sizeof(cl_double);
|
||||
cl_uint scale = job->scale;
|
||||
cl_uint base = job_id * (cl_uint)job->step;
|
||||
ThreadInfo *tinfo = job->tinfo + thread_id;
|
||||
float ulps = job->ulps;
|
||||
dptr func = job->f->dfunc;
|
||||
cl_uint j, k;
|
||||
cl_int error;
|
||||
int ftz = job->ftz;
|
||||
|
||||
Force64BitFPUPrecision();
|
||||
|
||||
// start the map of the output arrays
|
||||
cl_event e[VECTOR_SIZE_COUNT];
|
||||
cl_ulong *out[VECTOR_SIZE_COUNT];
|
||||
for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
|
||||
{
|
||||
out[j] = (cl_ulong *)clEnqueueMapBuffer(
|
||||
tinfo->tQueue, tinfo->outBuf[j], CL_FALSE, CL_MAP_WRITE, 0,
|
||||
buffer_size, 0, NULL, e + j, &error);
|
||||
if (error || NULL == out[j])
|
||||
{
|
||||
vlog_error("Error: clEnqueueMapBuffer %d failed! err: %d\n", j,
|
||||
error);
|
||||
return error;
|
||||
}
|
||||
}
|
||||
|
||||
// Get that moving
|
||||
if ((error = clFlush(tinfo->tQueue))) vlog("clFlush failed\n");
|
||||
|
||||
// Write the new values to the input array
|
||||
cl_double *p = (cl_double *)gIn + thread_id * buffer_elements;
|
||||
for (j = 0; j < buffer_elements; j++)
|
||||
p[j] = DoubleFromUInt32(base + j * scale);
|
||||
|
||||
if ((error = clEnqueueWriteBuffer(tinfo->tQueue, tinfo->inBuf, CL_FALSE, 0,
|
||||
buffer_size, p, 0, NULL, NULL)))
|
||||
{
|
||||
vlog_error("Error: clEnqueueWriteBuffer failed! err: %d\n", error);
|
||||
return error;
|
||||
}
|
||||
|
||||
for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
|
||||
{
|
||||
// Wait for the map to finish
|
||||
if ((error = clWaitForEvents(1, e + j)))
|
||||
{
|
||||
vlog_error("Error: clWaitForEvents failed! err: %d\n", error);
|
||||
return error;
|
||||
}
|
||||
if ((error = clReleaseEvent(e[j])))
|
||||
{
|
||||
vlog_error("Error: clReleaseEvent failed! err: %d\n", error);
|
||||
return error;
|
||||
}
|
||||
|
||||
// Fill the result buffer with garbage, so that old results don't carry
|
||||
// over
|
||||
uint32_t pattern = 0xffffdead;
|
||||
memset_pattern4(out[j], &pattern, buffer_size);
|
||||
if ((error = clEnqueueUnmapMemObject(tinfo->tQueue, tinfo->outBuf[j],
|
||||
out[j], 0, NULL, NULL)))
|
||||
{
|
||||
vlog_error("Error: clEnqueueMapBuffer failed! err: %d\n", error);
|
||||
return error;
|
||||
}
|
||||
|
||||
// run the kernel
|
||||
size_t vectorCount =
|
||||
(buffer_elements + sizeValues[j] - 1) / sizeValues[j];
|
||||
cl_kernel kernel = job->k[j][thread_id]; // each worker thread has its
|
||||
// own copy of the cl_kernel
|
||||
cl_program program = job->programs[j];
|
||||
|
||||
if ((error = clSetKernelArg(kernel, 0, sizeof(tinfo->outBuf[j]),
|
||||
&tinfo->outBuf[j])))
|
||||
{
|
||||
LogBuildError(program);
|
||||
return error;
|
||||
}
|
||||
if ((error = clSetKernelArg(kernel, 1, sizeof(tinfo->inBuf),
|
||||
&tinfo->inBuf)))
|
||||
{
|
||||
LogBuildError(program);
|
||||
return error;
|
||||
}
|
||||
|
||||
if ((error = clEnqueueNDRangeKernel(tinfo->tQueue, kernel, 1, NULL,
|
||||
&vectorCount, NULL, 0, NULL, NULL)))
|
||||
{
|
||||
vlog_error("FAILED -- could not execute kernel\n");
|
||||
return error;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
// Get that moving
|
||||
if ((error = clFlush(tinfo->tQueue))) vlog("clFlush 2 failed\n");
|
||||
|
||||
if (gSkipCorrectnessTesting) return CL_SUCCESS;
|
||||
|
||||
// Calculate the correctly rounded reference result
|
||||
cl_double *r = (cl_double *)gOut_Ref + thread_id * buffer_elements;
|
||||
cl_double *s = (cl_double *)p;
|
||||
for (j = 0; j < buffer_elements; j++) r[j] = (cl_double)func.f_f(s[j]);
|
||||
|
||||
// Read the data back -- no need to wait for the first N-1 buffers. This is
|
||||
// an in order queue.
|
||||
for (j = gMinVectorSizeIndex; j + 1 < gMaxVectorSizeIndex; j++)
|
||||
{
|
||||
out[j] = (cl_ulong *)clEnqueueMapBuffer(
|
||||
tinfo->tQueue, tinfo->outBuf[j], CL_FALSE, CL_MAP_READ, 0,
|
||||
buffer_size, 0, NULL, NULL, &error);
|
||||
if (error || NULL == out[j])
|
||||
{
|
||||
vlog_error("Error: clEnqueueMapBuffer %d failed! err: %d\n", j,
|
||||
error);
|
||||
return error;
|
||||
}
|
||||
}
|
||||
// Wait for the last buffer
|
||||
out[j] = (cl_ulong *)clEnqueueMapBuffer(tinfo->tQueue, tinfo->outBuf[j],
|
||||
CL_TRUE, CL_MAP_READ, 0,
|
||||
buffer_size, 0, NULL, NULL, &error);
|
||||
if (error || NULL == out[j])
|
||||
{
|
||||
vlog_error("Error: clEnqueueMapBuffer %d failed! err: %d\n", j, error);
|
||||
return error;
|
||||
}
|
||||
|
||||
|
||||
// Verify data
|
||||
cl_ulong *t = (cl_ulong *)r;
|
||||
for (j = 0; j < buffer_elements; j++)
|
||||
{
|
||||
for (k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++)
|
||||
{
|
||||
cl_ulong *q = out[k];
|
||||
|
||||
// If we aren't getting the correctly rounded result
|
||||
if (t[j] != q[j])
|
||||
{
|
||||
cl_double test = ((cl_double *)q)[j];
|
||||
long double correct = func.f_f(s[j]);
|
||||
float err = Bruteforce_Ulp_Error_Double(test, correct);
|
||||
int fail = !(fabsf(err) <= ulps);
|
||||
|
||||
if (fail)
|
||||
{
|
||||
if (ftz)
|
||||
{
|
||||
// retry per section 6.5.3.2
|
||||
if (IsDoubleResultSubnormal(correct, ulps))
|
||||
{
|
||||
fail = fail && (test != 0.0f);
|
||||
if (!fail) err = 0.0f;
|
||||
}
|
||||
|
||||
// retry per section 6.5.3.3
|
||||
if (IsDoubleSubnormal(s[j]))
|
||||
{
|
||||
long double correct2 = func.f_f(0.0L);
|
||||
long double correct3 = func.f_f(-0.0L);
|
||||
float err2 =
|
||||
Bruteforce_Ulp_Error_Double(test, correct2);
|
||||
float err3 =
|
||||
Bruteforce_Ulp_Error_Double(test, correct3);
|
||||
fail = fail
|
||||
&& ((!(fabsf(err2) <= ulps))
|
||||
&& (!(fabsf(err3) <= ulps)));
|
||||
if (fabsf(err2) < fabsf(err)) err = err2;
|
||||
if (fabsf(err3) < fabsf(err)) err = err3;
|
||||
|
||||
// retry per section 6.5.3.4
|
||||
if (IsDoubleResultSubnormal(correct2, ulps)
|
||||
|| IsDoubleResultSubnormal(correct3, ulps))
|
||||
{
|
||||
fail = fail && (test != 0.0f);
|
||||
if (!fail) err = 0.0f;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
if (fabsf(err) > tinfo->maxError)
|
||||
{
|
||||
tinfo->maxError = fabsf(err);
|
||||
tinfo->maxErrorValue = s[j];
|
||||
}
|
||||
if (fail)
|
||||
{
|
||||
vlog_error("\nERROR: %s%s: %f ulp error at %.13la "
|
||||
"(0x%16.16llx): *%.13la vs. %.13la\n",
|
||||
job->f->name, sizeNames[k], err,
|
||||
((cl_double *)gIn)[j], ((cl_ulong *)gIn)[j],
|
||||
((cl_double *)gOut_Ref)[j], test);
|
||||
return -1;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
|
||||
{
|
||||
if ((error = clEnqueueUnmapMemObject(tinfo->tQueue, tinfo->outBuf[j],
|
||||
out[j], 0, NULL, NULL)))
|
||||
{
|
||||
vlog_error("Error: clEnqueueUnmapMemObject %d failed 2! err: %d\n",
|
||||
j, error);
|
||||
return error;
|
||||
}
|
||||
}
|
||||
|
||||
if ((error = clFlush(tinfo->tQueue))) vlog("clFlush 3 failed\n");
|
||||
|
||||
|
||||
if (0 == (base & 0x0fffffff))
|
||||
{
|
||||
if (gVerboseBruteForce)
|
||||
{
|
||||
vlog("base:%14u step:%10u scale:%10zd buf_elements:%10u ulps:%5.3f "
|
||||
"ThreadCount:%2u\n",
|
||||
base, job->step, buffer_elements, job->scale, job->ulps,
|
||||
job->threadCount);
|
||||
}
|
||||
else
|
||||
{
|
||||
vlog(".");
|
||||
}
|
||||
fflush(stdout);
|
||||
}
|
||||
|
||||
return CL_SUCCESS;
|
||||
}
|
||||
static cl_int TestDouble(cl_uint job_id, cl_uint thread_id, void *data);
|
||||
|
||||
int TestFunc_Double_Double(const Func *f, MTdata d, bool relaxedMode)
|
||||
{
|
||||
@@ -660,3 +423,242 @@ exit:
|
||||
|
||||
return error;
|
||||
}
|
||||
|
||||
static cl_int TestDouble(cl_uint job_id, cl_uint thread_id, void *data)
|
||||
{
|
||||
const TestInfo *job = (const TestInfo *)data;
|
||||
size_t buffer_elements = job->subBufferSize;
|
||||
size_t buffer_size = buffer_elements * sizeof(cl_double);
|
||||
cl_uint scale = job->scale;
|
||||
cl_uint base = job_id * (cl_uint)job->step;
|
||||
ThreadInfo *tinfo = job->tinfo + thread_id;
|
||||
float ulps = job->ulps;
|
||||
dptr func = job->f->dfunc;
|
||||
cl_uint j, k;
|
||||
cl_int error;
|
||||
int ftz = job->ftz;
|
||||
|
||||
Force64BitFPUPrecision();
|
||||
|
||||
// start the map of the output arrays
|
||||
cl_event e[VECTOR_SIZE_COUNT];
|
||||
cl_ulong *out[VECTOR_SIZE_COUNT];
|
||||
for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
|
||||
{
|
||||
out[j] = (cl_ulong *)clEnqueueMapBuffer(
|
||||
tinfo->tQueue, tinfo->outBuf[j], CL_FALSE, CL_MAP_WRITE, 0,
|
||||
buffer_size, 0, NULL, e + j, &error);
|
||||
if (error || NULL == out[j])
|
||||
{
|
||||
vlog_error("Error: clEnqueueMapBuffer %d failed! err: %d\n", j,
|
||||
error);
|
||||
return error;
|
||||
}
|
||||
}
|
||||
|
||||
// Get that moving
|
||||
if ((error = clFlush(tinfo->tQueue))) vlog("clFlush failed\n");
|
||||
|
||||
// Write the new values to the input array
|
||||
cl_double *p = (cl_double *)gIn + thread_id * buffer_elements;
|
||||
for (j = 0; j < buffer_elements; j++)
|
||||
p[j] = DoubleFromUInt32(base + j * scale);
|
||||
|
||||
if ((error = clEnqueueWriteBuffer(tinfo->tQueue, tinfo->inBuf, CL_FALSE, 0,
|
||||
buffer_size, p, 0, NULL, NULL)))
|
||||
{
|
||||
vlog_error("Error: clEnqueueWriteBuffer failed! err: %d\n", error);
|
||||
return error;
|
||||
}
|
||||
|
||||
for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
|
||||
{
|
||||
// Wait for the map to finish
|
||||
if ((error = clWaitForEvents(1, e + j)))
|
||||
{
|
||||
vlog_error("Error: clWaitForEvents failed! err: %d\n", error);
|
||||
return error;
|
||||
}
|
||||
if ((error = clReleaseEvent(e[j])))
|
||||
{
|
||||
vlog_error("Error: clReleaseEvent failed! err: %d\n", error);
|
||||
return error;
|
||||
}
|
||||
|
||||
// Fill the result buffer with garbage, so that old results don't carry
|
||||
// over
|
||||
uint32_t pattern = 0xffffdead;
|
||||
memset_pattern4(out[j], &pattern, buffer_size);
|
||||
if ((error = clEnqueueUnmapMemObject(tinfo->tQueue, tinfo->outBuf[j],
|
||||
out[j], 0, NULL, NULL)))
|
||||
{
|
||||
vlog_error("Error: clEnqueueMapBuffer failed! err: %d\n", error);
|
||||
return error;
|
||||
}
|
||||
|
||||
// run the kernel
|
||||
size_t vectorCount =
|
||||
(buffer_elements + sizeValues[j] - 1) / sizeValues[j];
|
||||
cl_kernel kernel = job->k[j][thread_id]; // each worker thread has its
|
||||
// own copy of the cl_kernel
|
||||
cl_program program = job->programs[j];
|
||||
|
||||
if ((error = clSetKernelArg(kernel, 0, sizeof(tinfo->outBuf[j]),
|
||||
&tinfo->outBuf[j])))
|
||||
{
|
||||
LogBuildError(program);
|
||||
return error;
|
||||
}
|
||||
if ((error = clSetKernelArg(kernel, 1, sizeof(tinfo->inBuf),
|
||||
&tinfo->inBuf)))
|
||||
{
|
||||
LogBuildError(program);
|
||||
return error;
|
||||
}
|
||||
|
||||
if ((error = clEnqueueNDRangeKernel(tinfo->tQueue, kernel, 1, NULL,
|
||||
&vectorCount, NULL, 0, NULL, NULL)))
|
||||
{
|
||||
vlog_error("FAILED -- could not execute kernel\n");
|
||||
return error;
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
// Get that moving
|
||||
if ((error = clFlush(tinfo->tQueue))) vlog("clFlush 2 failed\n");
|
||||
|
||||
if (gSkipCorrectnessTesting) return CL_SUCCESS;
|
||||
|
||||
// Calculate the correctly rounded reference result
|
||||
cl_double *r = (cl_double *)gOut_Ref + thread_id * buffer_elements;
|
||||
cl_double *s = (cl_double *)p;
|
||||
for (j = 0; j < buffer_elements; j++) r[j] = (cl_double)func.f_f(s[j]);
|
||||
|
||||
// Read the data back -- no need to wait for the first N-1 buffers. This is
|
||||
// an in order queue.
|
||||
for (j = gMinVectorSizeIndex; j + 1 < gMaxVectorSizeIndex; j++)
|
||||
{
|
||||
out[j] = (cl_ulong *)clEnqueueMapBuffer(
|
||||
tinfo->tQueue, tinfo->outBuf[j], CL_FALSE, CL_MAP_READ, 0,
|
||||
buffer_size, 0, NULL, NULL, &error);
|
||||
if (error || NULL == out[j])
|
||||
{
|
||||
vlog_error("Error: clEnqueueMapBuffer %d failed! err: %d\n", j,
|
||||
error);
|
||||
return error;
|
||||
}
|
||||
}
|
||||
// Wait for the last buffer
|
||||
out[j] = (cl_ulong *)clEnqueueMapBuffer(tinfo->tQueue, tinfo->outBuf[j],
|
||||
CL_TRUE, CL_MAP_READ, 0,
|
||||
buffer_size, 0, NULL, NULL, &error);
|
||||
if (error || NULL == out[j])
|
||||
{
|
||||
vlog_error("Error: clEnqueueMapBuffer %d failed! err: %d\n", j, error);
|
||||
return error;
|
||||
}
|
||||
|
||||
|
||||
// Verify data
|
||||
cl_ulong *t = (cl_ulong *)r;
|
||||
for (j = 0; j < buffer_elements; j++)
|
||||
{
|
||||
for (k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++)
|
||||
{
|
||||
cl_ulong *q = out[k];
|
||||
|
||||
// If we aren't getting the correctly rounded result
|
||||
if (t[j] != q[j])
|
||||
{
|
||||
cl_double test = ((cl_double *)q)[j];
|
||||
long double correct = func.f_f(s[j]);
|
||||
float err = Bruteforce_Ulp_Error_Double(test, correct);
|
||||
int fail = !(fabsf(err) <= ulps);
|
||||
|
||||
if (fail)
|
||||
{
|
||||
if (ftz)
|
||||
{
|
||||
// retry per section 6.5.3.2
|
||||
if (IsDoubleResultSubnormal(correct, ulps))
|
||||
{
|
||||
fail = fail && (test != 0.0f);
|
||||
if (!fail) err = 0.0f;
|
||||
}
|
||||
|
||||
// retry per section 6.5.3.3
|
||||
if (IsDoubleSubnormal(s[j]))
|
||||
{
|
||||
long double correct2 = func.f_f(0.0L);
|
||||
long double correct3 = func.f_f(-0.0L);
|
||||
float err2 =
|
||||
Bruteforce_Ulp_Error_Double(test, correct2);
|
||||
float err3 =
|
||||
Bruteforce_Ulp_Error_Double(test, correct3);
|
||||
fail = fail
|
||||
&& ((!(fabsf(err2) <= ulps))
|
||||
&& (!(fabsf(err3) <= ulps)));
|
||||
if (fabsf(err2) < fabsf(err)) err = err2;
|
||||
if (fabsf(err3) < fabsf(err)) err = err3;
|
||||
|
||||
// retry per section 6.5.3.4
|
||||
if (IsDoubleResultSubnormal(correct2, ulps)
|
||||
|| IsDoubleResultSubnormal(correct3, ulps))
|
||||
{
|
||||
fail = fail && (test != 0.0f);
|
||||
if (!fail) err = 0.0f;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
if (fabsf(err) > tinfo->maxError)
|
||||
{
|
||||
tinfo->maxError = fabsf(err);
|
||||
tinfo->maxErrorValue = s[j];
|
||||
}
|
||||
if (fail)
|
||||
{
|
||||
vlog_error("\nERROR: %s%s: %f ulp error at %.13la "
|
||||
"(0x%16.16llx): *%.13la vs. %.13la\n",
|
||||
job->f->name, sizeNames[k], err,
|
||||
((cl_double *)gIn)[j], ((cl_ulong *)gIn)[j],
|
||||
((cl_double *)gOut_Ref)[j], test);
|
||||
return -1;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
|
||||
{
|
||||
if ((error = clEnqueueUnmapMemObject(tinfo->tQueue, tinfo->outBuf[j],
|
||||
out[j], 0, NULL, NULL)))
|
||||
{
|
||||
vlog_error("Error: clEnqueueUnmapMemObject %d failed 2! err: %d\n",
|
||||
j, error);
|
||||
return error;
|
||||
}
|
||||
}
|
||||
|
||||
if ((error = clFlush(tinfo->tQueue))) vlog("clFlush 3 failed\n");
|
||||
|
||||
|
||||
if (0 == (base & 0x0fffffff))
|
||||
{
|
||||
if (gVerboseBruteForce)
|
||||
{
|
||||
vlog("base:%14u step:%10u scale:%10zd buf_elements:%10u ulps:%5.3f "
|
||||
"ThreadCount:%2u\n",
|
||||
base, job->step, buffer_elements, job->scale, job->ulps,
|
||||
job->threadCount);
|
||||
}
|
||||
else
|
||||
{
|
||||
vlog(".");
|
||||
}
|
||||
fflush(stdout);
|
||||
}
|
||||
|
||||
return CL_SUCCESS;
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user