mirror of
https://github.com/KhronosGroup/OpenCL-CTS.git
synced 2026-03-19 06:09:01 +00:00
Complementation and modernization of commonfns tests (#1694)
* Unified common functions tests due to preparation for adding cl_khr_fp16 support * Renamed base structure, few cosmetic corrections * Added corrections due to code review * Removed comment separators * Added review related corrections
This commit is contained in:
Marcin Hajder
@@ -13,14 +13,18 @@
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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#include "harness/compat.h"
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#include <stdio.h>
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#include <string.h>
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#include <sys/types.h>
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#include <sys/stat.h>
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#include <vector>
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#include "harness/deviceInfo.h"
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#include "harness/typeWrappers.h"
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#include "procs.h"
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#include "test_base.h"
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const char *binary_fn_code_pattern =
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"%s\n" /* optional pragma */
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@@ -49,216 +53,286 @@ const char *binary_fn_code_pattern_v3_scalar =
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" vstore3(%s(vload3(tid,x), y[tid] ), tid, dst);\n"
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"}\n";
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int test_binary_fn( cl_device_id device, cl_context context, cl_command_queue queue, int n_elems,
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const char *fnName, bool vectorSecondParam,
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binary_verify_float_fn floatVerifyFn, binary_verify_double_fn doubleVerifyFn )
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template <typename T>
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int test_binary_fn(cl_device_id device, cl_context context,
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cl_command_queue queue, int n_elems,
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const std::string& fnName, bool vecSecParam,
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VerifyFuncBinary<T> verifyFn)
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{
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cl_mem streams[6];
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cl_float *input_ptr[2], *output_ptr;
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cl_double *input_ptr_double[2], *output_ptr_double=NULL;
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cl_program *program;
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cl_kernel *kernel;
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size_t threads[1];
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int num_elements;
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int err;
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int i, j;
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MTdata d;
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clMemWrapper streams[3];
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std::vector<T> input_ptr[2], output_ptr;
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program = (cl_program*)malloc(sizeof(cl_program)*kTotalVecCount*2);
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kernel = (cl_kernel*)malloc(sizeof(cl_kernel)*kTotalVecCount*2);
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std::vector<clProgramWrapper> programs;
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std::vector<clKernelWrapper> kernels;
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int err, i, j;
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MTdataHolder d = MTdataHolder(gRandomSeed);
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num_elements = n_elems * (1 << (kTotalVecCount-1));
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assert(BaseFunctionTest::type2name.find(sizeof(T))
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!= BaseFunctionTest::type2name.end());
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auto tname = BaseFunctionTest::type2name[sizeof(T)];
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int test_double = 0;
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if(is_extension_available( device, "cl_khr_fp64" ))
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{
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log_info("Testing doubles.\n");
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test_double = 1;
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}
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programs.resize(kTotalVecCount);
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kernels.resize(kTotalVecCount);
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for( i = 0; i < 2; i++ )
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{
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input_ptr[i] = (cl_float*)malloc(sizeof(cl_float) * num_elements);
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if (test_double) input_ptr_double[i] = (cl_double*)malloc(sizeof(cl_double) * num_elements);
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}
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output_ptr = (cl_float*)malloc(sizeof(cl_float) * num_elements);
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if (test_double) output_ptr_double = (cl_double*)malloc(sizeof(cl_double) * num_elements);
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int num_elements = n_elems * (1 << (kTotalVecCount - 1));
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for (i = 0; i < 2; i++) input_ptr[i].resize(num_elements);
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output_ptr.resize(num_elements);
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for( i = 0; i < 3; i++ )
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{
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streams[i] =
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clCreateBuffer(context, CL_MEM_READ_WRITE,
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sizeof(cl_float) * num_elements, NULL, &err);
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streams[i] = clCreateBuffer(context, CL_MEM_READ_WRITE,
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sizeof(T) * num_elements, NULL, &err);
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test_error( err, "clCreateBuffer failed");
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}
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if (test_double)
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for( i = 3; i < 6; i++ )
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{
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streams[i] =
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clCreateBuffer(context, CL_MEM_READ_WRITE,
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sizeof(cl_double) * num_elements, NULL, &err);
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test_error(err, "clCreateBuffer failed");
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}
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d = init_genrand( gRandomSeed );
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for( j = 0; j < num_elements; j++ )
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std::string pragma_str;
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if (std::is_same<T, float>::value)
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{
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input_ptr[0][j] = get_random_float(-0x20000000, 0x20000000, d);
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input_ptr[1][j] = get_random_float(-0x20000000, 0x20000000, d);
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if (test_double)
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for (j = 0; j < num_elements; j++)
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{
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input_ptr_double[0][j] = get_random_double(-0x20000000, 0x20000000, d);
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input_ptr_double[1][j] = get_random_double(-0x20000000, 0x20000000, d);
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input_ptr[0][j] = get_random_float(-0x20000000, 0x20000000, d);
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input_ptr[1][j] = get_random_float(-0x20000000, 0x20000000, d);
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}
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}
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free_mtdata(d); d = NULL;
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for( i = 0; i < 2; i++ )
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else if (std::is_same<T, double>::value)
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{
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err = clEnqueueWriteBuffer( queue, streams[ i ], CL_TRUE, 0, sizeof( cl_float ) * num_elements, input_ptr[ i ], 0, NULL, NULL );
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test_error( err, "Unable to write input buffer" );
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if (test_double)
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pragma_str = "#pragma OPENCL EXTENSION cl_khr_fp64 : enable\n";
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for (j = 0; j < num_elements; j++)
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{
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err = clEnqueueWriteBuffer( queue, streams[ 3 + i ], CL_TRUE, 0, sizeof( cl_double ) * num_elements, input_ptr_double[ i ], 0, NULL, NULL );
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test_error( err, "Unable to write input buffer" );
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input_ptr[0][j] = get_random_double(-0x20000000, 0x20000000, d);
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input_ptr[1][j] = get_random_double(-0x20000000, 0x20000000, d);
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}
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}
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for( i = 0; i < kTotalVecCount; i++ )
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for (i = 0; i < 2; i++)
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{
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char programSrc[ 10240 ];
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char vecSizeNames[][ 3 ] = { "", "2", "4", "8", "16", "3" };
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err = clEnqueueWriteBuffer(queue, streams[i], CL_TRUE, 0,
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sizeof(T) * num_elements,
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&input_ptr[i].front(), 0, NULL, NULL);
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test_error(err, "Unable to write input buffer");
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}
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if(i >= kVectorSizeCount) {
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// do vec3 print
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char vecSizeNames[][3] = { "", "2", "4", "8", "16", "3" };
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if(vectorSecondParam) {
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sprintf( programSrc,binary_fn_code_pattern_v3, "", "float", "float", "float", fnName );
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} else {
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sprintf( programSrc,binary_fn_code_pattern_v3_scalar, "", "float", "float", "float", fnName );
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for (i = 0; i < kTotalVecCount; i++)
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{
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std::string kernelSource;
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if (i >= kVectorSizeCount)
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{
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if (vecSecParam)
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{
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std::string str = binary_fn_code_pattern_v3;
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kernelSource =
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string_format(str, pragma_str.c_str(), tname.c_str(),
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tname.c_str(), tname.c_str(), fnName.c_str());
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}
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else
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{
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std::string str = binary_fn_code_pattern_v3_scalar;
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kernelSource =
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string_format(str, pragma_str.c_str(), tname.c_str(),
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tname.c_str(), tname.c_str(), fnName.c_str());
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}
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} else {
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// do regular
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sprintf( programSrc, binary_fn_code_pattern, "", "float", vecSizeNames[ i ], "float", vectorSecondParam ? vecSizeNames[ i ] : "", "float", vecSizeNames[ i ], fnName );
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}
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const char *ptr = programSrc;
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err = create_single_kernel_helper( context, &program[ i ], &kernel[ i ], 1, &ptr, "test_fn" );
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test_error( err, "Unable to create kernel" );
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if (test_double)
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else
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{
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if(i >= kVectorSizeCount) {
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if(vectorSecondParam) {
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sprintf( programSrc, binary_fn_code_pattern_v3, "#pragma OPENCL EXTENSION cl_khr_fp64 : enable",
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"double", "double", "double", fnName );
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} else {
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// do regular
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std::string str = binary_fn_code_pattern;
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kernelSource = string_format(
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str, pragma_str.c_str(), tname.c_str(), vecSizeNames[i],
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tname.c_str(), vecSecParam ? vecSizeNames[i] : "",
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tname.c_str(), vecSizeNames[i], fnName.c_str());
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}
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const char* programPtr = kernelSource.c_str();
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err = create_single_kernel_helper(context, &programs[i], &kernels[i], 1,
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(const char**)&programPtr, "test_fn");
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test_error(err, "Unable to create kernel");
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sprintf( programSrc, binary_fn_code_pattern_v3_scalar, "#pragma OPENCL EXTENSION cl_khr_fp64 : enable",
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"double", "double", "double", fnName );
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}
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} else {
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sprintf( programSrc, binary_fn_code_pattern, "#pragma OPENCL EXTENSION cl_khr_fp64 : enable",
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"double", vecSizeNames[ i ], "double", vectorSecondParam ? vecSizeNames[ i ] : "", "double", vecSizeNames[ i ], fnName );
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}
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ptr = programSrc;
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err = create_single_kernel_helper( context, &program[ kTotalVecCount + i ], &kernel[ kTotalVecCount + i ], 1, &ptr, "test_fn" );
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test_error( err, "Unable to create kernel" );
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}
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}
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for( i = 0; i < kTotalVecCount; i++ )
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{
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for( j = 0; j < 3; j++ )
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{
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err = clSetKernelArg( kernel[ i ], j, sizeof( streams[ j ] ), &streams[ j ] );
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err =
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clSetKernelArg(kernels[i], j, sizeof(streams[j]), &streams[j]);
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test_error( err, "Unable to set kernel argument" );
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}
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threads[0] = (size_t)n_elems;
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size_t threads = (size_t)n_elems;
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err = clEnqueueNDRangeKernel( queue, kernel[i], 1, NULL, threads, NULL, 0, NULL, NULL );
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err = clEnqueueNDRangeKernel(queue, kernels[i], 1, NULL, &threads, NULL,
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0, NULL, NULL);
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test_error( err, "Unable to execute kernel" );
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err = clEnqueueReadBuffer( queue, streams[2], true, 0, sizeof(cl_float)*num_elements, (void *)output_ptr, 0, NULL, NULL );
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err = clEnqueueReadBuffer(queue, streams[2], true, 0,
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sizeof(T) * num_elements, &output_ptr[0], 0,
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NULL, NULL);
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test_error( err, "Unable to read results" );
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if( floatVerifyFn( input_ptr[0], input_ptr[1], output_ptr, n_elems, ((g_arrVecSizes[i])) ) )
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if (verifyFn((T*)&input_ptr[0].front(), (T*)&input_ptr[1].front(),
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&output_ptr[0], n_elems, g_arrVecSizes[i],
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vecSecParam ? 1 : 0))
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{
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log_error(" float%d%s test failed\n", ((g_arrVecSizes[i])), vectorSecondParam ? "" : ", float");
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log_error("%s %s%d%s test failed\n", fnName.c_str(), tname.c_str(),
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((g_arrVecSizes[i])),
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vecSecParam ? "" : std::string(", " + tname).c_str());
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err = -1;
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}
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else
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{
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log_info(" float%d%s test passed\n", ((g_arrVecSizes[i])), vectorSecondParam ? "" : ", float");
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log_info("%s %s%d%s test passed\n", fnName.c_str(), tname.c_str(),
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((g_arrVecSizes[i])),
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vecSecParam ? "" : std::string(", " + tname).c_str());
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err = 0;
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}
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if (err)
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break;
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}
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if (test_double)
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{
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for( i = 0; i < kTotalVecCount; i++ )
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{
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for( j = 0; j < 3; j++ )
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{
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err = clSetKernelArg( kernel[ kTotalVecCount + i ], j, sizeof( streams[ 3 + j ] ), &streams[ 3 + j ] );
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test_error( err, "Unable to set kernel argument" );
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}
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threads[0] = (size_t)n_elems;
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err = clEnqueueNDRangeKernel( queue, kernel[kTotalVecCount + i], 1, NULL, threads, NULL, 0, NULL, NULL );
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test_error( err, "Unable to execute kernel" );
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err = clEnqueueReadBuffer( queue, streams[5], CL_TRUE, 0, sizeof(cl_double)*num_elements, (void *)output_ptr_double, 0, NULL, NULL );
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test_error( err, "Unable to read results" );
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if( doubleVerifyFn( input_ptr_double[0], input_ptr_double[1], output_ptr_double, n_elems, ((g_arrVecSizes[i]))))
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{
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log_error(" double%d%s test failed\n", ((g_arrVecSizes[i])), vectorSecondParam ? "" : ", double");
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err = -1;
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}
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else
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{
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log_info(" double%d%s test passed\n", ((g_arrVecSizes[i])), vectorSecondParam ? "" : ", double");
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err = 0;
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}
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if (err)
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break;
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}
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}
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for( i = 0; i < ((test_double) ? 6 : 3); i++ )
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{
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clReleaseMemObject(streams[i]);
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}
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for (i=0; i < ((test_double) ? kTotalVecCount * 2 : kTotalVecCount) ; i++)
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{
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clReleaseKernel(kernel[i]);
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clReleaseProgram(program[i]);
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}
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free(input_ptr[0]);
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free(input_ptr[1]);
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free(output_ptr);
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free(program);
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free(kernel);
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if (test_double)
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{
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free(input_ptr_double[0]);
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free(input_ptr_double[1]);
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free(output_ptr_double);
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}
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return err;
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}
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namespace {
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template <typename T>
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int max_verify(const T* const x, const T* const y, const T* const out,
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int numElements, int vecSize, int vecParam)
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{
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for (int i = 0; i < numElements; i++)
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{
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for (int j = 0; j < vecSize; j++)
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{
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int k = i * vecSize + j;
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int l = (k * vecParam + i * (1 - vecParam));
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T v = (x[k] < y[l]) ? y[l] : x[k];
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if (v != out[k])
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{
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log_error(
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"x[%d]=%g y[%d]=%g out[%d]=%g, expected %g. (index %d is "
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"vector %d, element %d, for vector size %d)\n",
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k, x[k], l, y[l], k, out[k], v, k, i, j, vecSize);
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return -1;
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}
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}
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}
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return 0;
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}
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template <typename T>
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int min_verify(const T* const x, const T* const y, const T* const out,
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int numElements, int vecSize, int vecParam)
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{
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for (int i = 0; i < numElements; i++)
|
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{
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for (int j = 0; j < vecSize; j++)
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{
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int k = i * vecSize + j;
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int l = (k * vecParam + i * (1 - vecParam));
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T v = (x[k] > y[l]) ? y[l] : x[k];
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if (v != out[k])
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{
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log_error(
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"x[%d]=%g y[%d]=%g out[%d]=%g, expected %g. (index %d is "
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"vector %d, element %d, for vector size %d)\n",
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k, x[k], l, y[l], k, out[k], v, k, i, j, vecSize);
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return -1;
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}
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}
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}
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return 0;
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}
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}
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cl_int MaxTest::Run()
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{
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cl_int error = CL_SUCCESS;
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error = test_binary_fn<float>(device, context, queue, num_elems,
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fnName.c_str(), vecParam, max_verify<float>);
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test_error(error, "MaxTest::Run<float> failed");
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if (is_extension_available(device, "cl_khr_fp64"))
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{
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error = test_binary_fn<double>(device, context, queue, num_elems,
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fnName.c_str(), vecParam,
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max_verify<double>);
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test_error(error, "MaxTest::Run<double> failed");
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}
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return error;
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}
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cl_int MinTest::Run()
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{
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cl_int error = CL_SUCCESS;
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error = test_binary_fn<float>(device, context, queue, num_elems,
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fnName.c_str(), vecParam, min_verify<float>);
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test_error(error, "MinTest::Run<float> failed");
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if (is_extension_available(device, "cl_khr_fp64"))
|
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{
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error = test_binary_fn<double>(device, context, queue, num_elems,
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fnName.c_str(), vecParam,
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min_verify<double>);
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test_error(error, "MinTest::Run<double> failed");
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}
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return error;
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}
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int test_min(cl_device_id device, cl_context context, cl_command_queue queue,
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int n_elems)
|
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{
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return MakeAndRunTest<MinTest>(device, context, queue, n_elems, "min",
|
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true);
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}
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int test_minf(cl_device_id device, cl_context context, cl_command_queue queue,
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int n_elems)
|
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{
|
||||
return MakeAndRunTest<MinTest>(device, context, queue, n_elems, "min",
|
||||
false);
|
||||
}
|
||||
|
||||
int test_fmin(cl_device_id device, cl_context context, cl_command_queue queue,
|
||||
int n_elems)
|
||||
{
|
||||
return MakeAndRunTest<MinTest>(device, context, queue, n_elems, "fmin",
|
||||
true);
|
||||
}
|
||||
|
||||
int test_fminf(cl_device_id device, cl_context context, cl_command_queue queue,
|
||||
int n_elems)
|
||||
{
|
||||
return MakeAndRunTest<MinTest>(device, context, queue, n_elems, "fmin",
|
||||
false);
|
||||
}
|
||||
|
||||
int test_max(cl_device_id device, cl_context context, cl_command_queue queue,
|
||||
int n_elems)
|
||||
{
|
||||
return MakeAndRunTest<MaxTest>(device, context, queue, n_elems, "max",
|
||||
true);
|
||||
}
|
||||
|
||||
int test_maxf(cl_device_id device, cl_context context, cl_command_queue queue,
|
||||
int n_elems)
|
||||
{
|
||||
return MakeAndRunTest<MaxTest>(device, context, queue, n_elems, "max",
|
||||
false);
|
||||
}
|
||||
|
||||
int test_fmax(cl_device_id device, cl_context context, cl_command_queue queue,
|
||||
int n_elems)
|
||||
{
|
||||
return MakeAndRunTest<MaxTest>(device, context, queue, n_elems, "fmax",
|
||||
true);
|
||||
}
|
||||
|
||||
int test_fmaxf(cl_device_id device, cl_context context, cl_command_queue queue,
|
||||
int n_elems)
|
||||
{
|
||||
return MakeAndRunTest<MaxTest>(device, context, queue, n_elems, "fmax",
|
||||
false);
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user