| // |
| // Copyright (c) 2017 The Khronos Group Inc. |
| // |
| // Licensed under the Apache License, Version 2.0 (the "License"); |
| // you may not use this file except in compliance with the License. |
| // You may obtain a copy of the License at |
| // |
| // http://www.apache.org/licenses/LICENSE-2.0 |
| // |
| // Unless required by applicable law or agreed to in writing, software |
| // distributed under the License is distributed on an "AS IS" BASIS, |
| // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| // See the License for the specific language governing permissions and |
| // limitations under the License. |
| // |
| #include "Utility.h" |
| |
| #include <string.h> |
| #include "FunctionList.h" |
| |
| int TestFunc_Int_Float(const Func *f, MTdata, bool relaxedMode); |
| int TestFunc_Int_Double(const Func *f, MTdata, bool relaxedMode); |
| |
| extern const vtbl _i_unary = { "i_unary", TestFunc_Int_Float, |
| TestFunc_Int_Double }; |
| |
| |
| static int BuildKernel(const char *name, int vectorSize, cl_kernel *k, |
| cl_program *p, bool relaxedMode); |
| static int BuildKernelDouble(const char *name, int vectorSize, cl_kernel *k, |
| cl_program *p, bool relaxedMode); |
| |
| static int BuildKernel(const char *name, int vectorSize, cl_kernel *k, |
| cl_program *p, bool relaxedMode) |
| { |
| const char *c[] = { "__kernel void math_kernel", sizeNames[vectorSize], "( __global int", sizeNames[vectorSize], "* out, __global float", sizeNames[vectorSize], "* in)\n" |
| "{\n" |
| " int i = get_global_id(0);\n" |
| " out[i] = ", name, "( in[i] );\n" |
| "}\n" |
| }; |
| const char *c3[] = { "__kernel void math_kernel", sizeNames[vectorSize], "( __global int* out, __global float* in)\n" |
| "{\n" |
| " size_t i = get_global_id(0);\n" |
| " if( i + 1 < get_global_size(0) )\n" |
| " {\n" |
| " float3 f0 = vload3( 0, in + 3 * i );\n" |
| " int3 i0 = ", name, "( f0 );\n" |
| " vstore3( i0, 0, out + 3*i );\n" |
| " }\n" |
| " else\n" |
| " {\n" |
| " size_t parity = i & 1; // Figure out how many elements are left over after BUFFER_SIZE % (3*sizeof(float)). Assume power of two buffer size \n" |
| " float3 f0;\n" |
| " switch( parity )\n" |
| " {\n" |
| " case 1:\n" |
| " f0 = (float3)( in[3*i], NAN, NAN ); \n" |
| " break;\n" |
| " case 0:\n" |
| " f0 = (float3)( in[3*i], in[3*i+1], NAN ); \n" |
| " break;\n" |
| " }\n" |
| " int3 i0 = ", name, "( f0 );\n" |
| " switch( parity )\n" |
| " {\n" |
| " case 0:\n" |
| " out[3*i+1] = i0.y; \n" |
| " // fall through\n" |
| " case 1:\n" |
| " out[3*i] = i0.x; \n" |
| " break;\n" |
| " }\n" |
| " }\n" |
| "}\n" |
| }; |
| |
| |
| const char **kern = c; |
| size_t kernSize = sizeof(c)/sizeof(c[0]); |
| |
| if( sizeValues[vectorSize] == 3 ) |
| { |
| kern = c3; |
| kernSize = sizeof(c3)/sizeof(c3[0]); |
| } |
| |
| char testName[32]; |
| snprintf( testName, sizeof( testName ) -1, "math_kernel%s", sizeNames[vectorSize] ); |
| |
| return MakeKernel(kern, (cl_uint)kernSize, testName, k, p, relaxedMode); |
| } |
| |
| static int BuildKernelDouble(const char *name, int vectorSize, cl_kernel *k, |
| cl_program *p, bool relaxedMode) |
| { |
| const char *c[] = { "#pragma OPENCL EXTENSION cl_khr_fp64 : enable\n", |
| "__kernel void math_kernel", sizeNames[vectorSize], "( __global int", sizeNames[vectorSize], "* out, __global double", sizeNames[vectorSize], "* in)\n" |
| "{\n" |
| " int i = get_global_id(0);\n" |
| " out[i] = ", name, "( in[i] );\n" |
| "}\n" |
| }; |
| |
| const char *c3[] = {"#pragma OPENCL EXTENSION cl_khr_fp64 : enable\n", |
| "__kernel void math_kernel", sizeNames[vectorSize], "( __global int* out, __global double* in)\n" |
| "{\n" |
| " size_t i = get_global_id(0);\n" |
| " if( i + 1 < get_global_size(0) )\n" |
| " {\n" |
| " double3 f0 = vload3( 0, in + 3 * i );\n" |
| " int3 i0 = ", name, "( f0 );\n" |
| " vstore3( i0, 0, out + 3*i );\n" |
| " }\n" |
| " else\n" |
| " {\n" |
| " size_t parity = i & 1; // Figure out how many elements are left over after BUFFER_SIZE % (3*sizeof(float)). Assume power of two buffer size \n" |
| " double3 f0;\n" |
| " switch( parity )\n" |
| " {\n" |
| " case 1:\n" |
| " f0 = (double3)( in[3*i], NAN, NAN ); \n" |
| " break;\n" |
| " case 0:\n" |
| " f0 = (double3)( in[3*i], in[3*i+1], NAN ); \n" |
| " break;\n" |
| " }\n" |
| " int3 i0 = ", name, "( f0 );\n" |
| " switch( parity )\n" |
| " {\n" |
| " case 0:\n" |
| " out[3*i+1] = i0.y; \n" |
| " // fall through\n" |
| " case 1:\n" |
| " out[3*i] = i0.x; \n" |
| " break;\n" |
| " }\n" |
| " }\n" |
| "}\n" |
| }; |
| |
| const char **kern = c; |
| size_t kernSize = sizeof(c)/sizeof(c[0]); |
| |
| if( sizeValues[vectorSize] == 3 ) |
| { |
| kern = c3; |
| kernSize = sizeof(c3)/sizeof(c3[0]); |
| } |
| |
| |
| char testName[32]; |
| snprintf( testName, sizeof( testName ) -1, "math_kernel%s", sizeNames[vectorSize] ); |
| |
| return MakeKernel(kern, (cl_uint)kernSize, testName, k, p, relaxedMode); |
| } |
| |
| typedef struct BuildKernelInfo |
| { |
| cl_uint offset; // the first vector size to build |
| cl_kernel *kernels; |
| cl_program *programs; |
| const char *nameInCode; |
| bool relaxedMode; // Whether to build with -cl-fast-relaxed-math. |
| }BuildKernelInfo; |
| |
| static cl_int BuildKernel_FloatFn( cl_uint job_id, cl_uint thread_id UNUSED, void *p ); |
| static cl_int BuildKernel_FloatFn( cl_uint job_id, cl_uint thread_id UNUSED, void *p ) |
| { |
| BuildKernelInfo *info = (BuildKernelInfo*) p; |
| cl_uint i = info->offset + job_id; |
| return BuildKernel(info->nameInCode, i, info->kernels + i, |
| info->programs + i, info->relaxedMode); |
| } |
| |
| static cl_int BuildKernel_DoubleFn( cl_uint job_id, cl_uint thread_id UNUSED, void *p ); |
| static cl_int BuildKernel_DoubleFn( cl_uint job_id, cl_uint thread_id UNUSED, void *p ) |
| { |
| BuildKernelInfo *info = (BuildKernelInfo*) p; |
| cl_uint i = info->offset + job_id; |
| return BuildKernelDouble(info->nameInCode, i, info->kernels + i, |
| info->programs + i, info->relaxedMode); |
| } |
| |
| int TestFunc_Int_Float(const Func *f, MTdata d, bool relaxedMode) |
| { |
| uint64_t i; |
| uint32_t j, k; |
| int error; |
| cl_program programs[ VECTOR_SIZE_COUNT ]; |
| cl_kernel kernels[ VECTOR_SIZE_COUNT ]; |
| int ftz = f->ftz || 0 == (gFloatCapabilities & CL_FP_DENORM) || gForceFTZ; |
| size_t bufferSize = (gWimpyMode)?gWimpyBufferSize:BUFFER_SIZE; |
| uint64_t step = bufferSize / sizeof( float ); |
| int scale = (int)((1ULL<<32) / (16 * bufferSize / sizeof( float )) + 1); |
| |
| logFunctionInfo(f->name, sizeof(cl_float), relaxedMode); |
| if( gWimpyMode ) |
| { |
| step = (1ULL<<32) * gWimpyReductionFactor / (512); |
| } |
| |
| // This test is not using ThreadPool so we need to disable FTZ here |
| // for reference computations |
| FPU_mode_type oldMode; |
| DisableFTZ(&oldMode); |
| |
| Force64BitFPUPrecision(); |
| |
| // Init the kernels |
| BuildKernelInfo build_info = { gMinVectorSizeIndex, kernels, programs, |
| f->nameInCode, relaxedMode }; |
| if( (error = ThreadPool_Do( BuildKernel_FloatFn, gMaxVectorSizeIndex - gMinVectorSizeIndex, &build_info ) )) |
| return error; |
| /* |
| for( i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++ ) |
| if( (error = BuildKernel( f->nameInCode, (int) i, kernels + i, programs + i) ) ) |
| return error; |
| */ |
| |
| for( i = 0; i < (1ULL<<32); i += step ) |
| { |
| //Init input array |
| uint32_t *p = (uint32_t *)gIn; |
| if( gWimpyMode ) |
| { |
| for( j = 0; j < bufferSize / sizeof( float ); j++ ) |
| p[j] = (uint32_t) i + j * scale; |
| } |
| else |
| { |
| for( j = 0; j < bufferSize / sizeof( float ); j++ ) |
| p[j] = (uint32_t) i + j; |
| } |
| if( (error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0, bufferSize, gIn, 0, NULL, NULL) )) |
| { |
| vlog_error( "\n*** Error %d in clEnqueueWriteBuffer ***\n", error ); |
| return error; |
| } |
| |
| // write garbage into output arrays |
| for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ ) |
| { |
| uint32_t pattern = 0xffffdead; |
| memset_pattern4(gOut[j], &pattern, bufferSize); |
| if( (error = clEnqueueWriteBuffer(gQueue, gOutBuffer[j], CL_FALSE, 0, bufferSize, gOut[j], 0, NULL, NULL) )) |
| { |
| vlog_error( "\n*** Error %d in clEnqueueWriteBuffer2(%d) ***\n", error, j ); |
| goto exit; |
| } |
| } |
| |
| // Run the kernels |
| for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ ) |
| { |
| size_t vectorSize = sizeValues[j] * sizeof(cl_float); |
| size_t localCount = (bufferSize + vectorSize - 1) / vectorSize; |
| if( ( error = clSetKernelArg(kernels[j], 0, sizeof( gOutBuffer[j] ), &gOutBuffer[j] ) )) { LogBuildError(programs[j]); goto exit; } |
| if( ( error = clSetKernelArg( kernels[j], 1, sizeof( gInBuffer ), &gInBuffer ) )) { LogBuildError(programs[j]); goto exit; } |
| |
| if( (error = clEnqueueNDRangeKernel(gQueue, kernels[j], 1, NULL, &localCount, NULL, 0, NULL, NULL)) ) |
| { |
| vlog_error( "FAILED -- could not execute kernel\n" ); |
| goto exit; |
| } |
| } |
| |
| // Get that moving |
| if( (error = clFlush(gQueue) )) |
| vlog( "clFlush failed\n" ); |
| |
| //Calculate the correctly rounded reference result |
| int *r = (int *)gOut_Ref; |
| float *s = (float *)gIn; |
| for( j = 0; j < bufferSize / sizeof( float ); j++ ) |
| r[j] = f->func.i_f( s[j] ); |
| |
| // Read the data back |
| for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ ) |
| { |
| if( (error = clEnqueueReadBuffer(gQueue, gOutBuffer[j], CL_TRUE, 0, bufferSize, gOut[j], 0, NULL, NULL)) ) |
| { |
| vlog_error( "ReadArray failed %d\n", error ); |
| goto exit; |
| } |
| } |
| |
| if( gSkipCorrectnessTesting ) |
| break; |
| |
| //Verify data |
| uint32_t *t = (uint32_t *)gOut_Ref; |
| for( j = 0; j < bufferSize / sizeof( float ); j++ ) |
| { |
| for( k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++ ) |
| { |
| uint32_t *q = (uint32_t *)(gOut[k]); |
| // If we aren't getting the correctly rounded result |
| if( t[j] != q[j] ) |
| { |
| if( ftz && IsFloatSubnormal(s[j])) |
| { |
| unsigned int correct0 = f->func.i_f( 0.0 ); |
| unsigned int correct1 = f->func.i_f( -0.0 ); |
| if( q[j] == correct0 || q[j] == correct1 ) |
| continue; |
| } |
| |
| uint32_t err = t[j] - q[j]; |
| if( q[j] > t[j] ) |
| err = q[j] - t[j]; |
| vlog_error( "\nERROR: %s%s: %d ulp error at %a (0x%8.8x): *%d vs. %d\n", f->name, sizeNames[k], err, ((float*) gIn)[j], ((cl_uint*) gIn)[j], t[j], q[j] ); |
| error = -1; |
| goto exit; |
| } |
| } |
| } |
| |
| if( 0 == (i & 0x0fffffff) ) |
| { |
| if (gVerboseBruteForce) |
| { |
| vlog("base:%14u step:%10zu bufferSize:%10zd \n", i, step, bufferSize); |
| } else |
| { |
| vlog("." ); |
| } |
| fflush(stdout); |
| } |
| } |
| |
| if( ! gSkipCorrectnessTesting ) |
| { |
| if( gWimpyMode ) |
| vlog( "Wimp pass" ); |
| else |
| vlog( "passed" ); |
| } |
| |
| if( gMeasureTimes ) |
| { |
| //Init input array |
| uint32_t *p = (uint32_t *)gIn; |
| for( j = 0; j < bufferSize / sizeof( float ); j++ ) |
| p[j] = genrand_int32(d); |
| if( (error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0, bufferSize, gIn, 0, NULL, NULL) )) |
| { |
| vlog_error( "\n*** Error %d in clEnqueueWriteBuffer ***\n", error ); |
| return error; |
| } |
| |
| |
| // Run the kernels |
| for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ ) |
| { |
| size_t vectorSize = sizeValues[j] * sizeof(cl_float); |
| size_t localCount = (bufferSize + vectorSize - 1) / vectorSize; |
| if( ( error = clSetKernelArg(kernels[j], 0, sizeof( gOutBuffer[j] ), &gOutBuffer[j] ) )) { LogBuildError(programs[j]); goto exit; } |
| if( ( error = clSetKernelArg( kernels[j], 1, sizeof( gInBuffer ), &gInBuffer ) )) { LogBuildError(programs[j]); goto exit; } |
| |
| double sum = 0.0; |
| double bestTime = INFINITY; |
| for( k = 0; k < PERF_LOOP_COUNT; k++ ) |
| { |
| uint64_t startTime = GetTime(); |
| if( (error = clEnqueueNDRangeKernel(gQueue, kernels[j], 1, NULL, &localCount, NULL, 0, NULL, NULL)) ) |
| { |
| vlog_error( "FAILED -- could not execute kernel\n" ); |
| goto exit; |
| } |
| |
| // Make sure OpenCL is done |
| if( (error = clFinish(gQueue) ) ) |
| { |
| vlog_error( "Error %d at clFinish\n", error ); |
| goto exit; |
| } |
| |
| uint64_t endTime = GetTime(); |
| double time = SubtractTime( endTime, startTime ); |
| sum += time; |
| if( time < bestTime ) |
| bestTime = time; |
| } |
| |
| if( gReportAverageTimes ) |
| bestTime = sum / PERF_LOOP_COUNT; |
| double clocksPerOp = bestTime * (double) gDeviceFrequency * gComputeDevices * gSimdSize * 1e6 / (bufferSize / sizeof( float ) ); |
| vlog_perf( clocksPerOp, LOWER_IS_BETTER, "clocks / element", "%sf%s", f->name, sizeNames[j] ); |
| } |
| } |
| |
| vlog( "\n" ); |
| exit: |
| RestoreFPState(&oldMode); |
| // Release |
| for( k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++ ) |
| { |
| clReleaseKernel(kernels[k]); |
| clReleaseProgram(programs[k]); |
| } |
| |
| return error; |
| } |
| |
| int TestFunc_Int_Double(const Func *f, MTdata d, bool relaxedMode) |
| { |
| uint64_t i; |
| uint32_t j, k; |
| int error; |
| cl_program programs[ VECTOR_SIZE_COUNT ]; |
| cl_kernel kernels[ VECTOR_SIZE_COUNT ]; |
| int ftz = f->ftz || gForceFTZ; |
| size_t bufferSize = (gWimpyMode)?gWimpyBufferSize:BUFFER_SIZE; |
| uint64_t step = bufferSize / sizeof( cl_double ); |
| int scale = (int)((1ULL<<32) / (16 * bufferSize / sizeof( cl_double )) + 1); |
| |
| logFunctionInfo(f->name, sizeof(cl_double), relaxedMode); |
| if( gWimpyMode ) |
| { |
| step = (1ULL<<32) * gWimpyReductionFactor / (512); |
| } |
| // This test is not using ThreadPool so we need to disable FTZ here |
| // for reference computations |
| FPU_mode_type oldMode; |
| DisableFTZ(&oldMode); |
| |
| Force64BitFPUPrecision(); |
| |
| // Init the kernels |
| BuildKernelInfo build_info = { gMinVectorSizeIndex, kernels, programs, |
| f->nameInCode, relaxedMode }; |
| if( (error = ThreadPool_Do( BuildKernel_DoubleFn, |
| gMaxVectorSizeIndex - gMinVectorSizeIndex, |
| &build_info ) )) |
| { |
| return error; |
| } |
| /* |
| for( i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++ ) |
| if( (error = BuildKernelDouble( f->nameInCode, (int) i, kernels + i, programs + i) ) ) |
| return error; |
| */ |
| |
| for( i = 0; i < (1ULL<<32); i += step ) |
| { |
| //Init input array |
| double *p = (double *)gIn; |
| if( gWimpyMode ) |
| { |
| for( j = 0; j < bufferSize / sizeof( cl_double ); j++ ) |
| p[j] = DoubleFromUInt32( (uint32_t) i + j * scale ); |
| } |
| else |
| { |
| for( j = 0; j < bufferSize / sizeof( cl_double ); j++ ) |
| p[j] = DoubleFromUInt32( (uint32_t) i + j ); |
| } |
| if( (error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0, bufferSize, gIn, 0, NULL, NULL) )) |
| { |
| vlog_error( "\n*** Error %d in clEnqueueWriteBuffer ***\n", error ); |
| return error; |
| } |
| |
| // write garbage into output arrays |
| for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ ) |
| { |
| uint32_t pattern = 0xffffdead; |
| memset_pattern4(gOut[j], &pattern, bufferSize); |
| if( (error = clEnqueueWriteBuffer(gQueue, gOutBuffer[j], CL_FALSE, 0, bufferSize, gOut[j], 0, NULL, NULL) )) |
| { |
| vlog_error( "\n*** Error %d in clEnqueueWriteBuffer2(%d) ***\n", error, j ); |
| goto exit; |
| } |
| } |
| |
| // Run the kernels |
| for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ ) |
| { |
| size_t vectorSize = sizeValues[j] * sizeof(cl_double); |
| size_t localCount = (bufferSize + vectorSize - 1) / vectorSize; |
| if( ( error = clSetKernelArg(kernels[j], 0, sizeof( gOutBuffer[j] ), &gOutBuffer[j] ) )) { LogBuildError(programs[j]); goto exit; } |
| if( ( error = clSetKernelArg( kernels[j], 1, sizeof( gInBuffer ), &gInBuffer ) )) { LogBuildError(programs[j]); goto exit; } |
| |
| if( (error = clEnqueueNDRangeKernel(gQueue, kernels[j], 1, NULL, &localCount, NULL, 0, NULL, NULL)) ) |
| { |
| vlog_error( "FAILED -- could not execute kernel\n" ); |
| goto exit; |
| } |
| } |
| |
| // Get that moving |
| if( (error = clFlush(gQueue) )) |
| vlog( "clFlush failed\n" ); |
| |
| //Calculate the correctly rounded reference result |
| int *r = (int *)gOut_Ref; |
| double *s = (double *)gIn; |
| for( j = 0; j < bufferSize / sizeof( cl_double ); j++ ) |
| r[j] = f->dfunc.i_f( s[j] ); |
| |
| // Read the data back |
| for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ ) |
| { |
| if( (error = clEnqueueReadBuffer(gQueue, gOutBuffer[j], CL_TRUE, 0, bufferSize, gOut[j], 0, NULL, NULL)) ) |
| { |
| vlog_error( "ReadArray failed %d\n", error ); |
| goto exit; |
| } |
| } |
| |
| if( gSkipCorrectnessTesting ) |
| break; |
| |
| //Verify data |
| uint32_t *t = (uint32_t *)gOut_Ref; |
| for( j = 0; j < bufferSize / sizeof( cl_double ); j++ ) |
| { |
| for( k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++ ) |
| { |
| uint32_t *q = (uint32_t *)(gOut[k]); |
| // If we aren't getting the correctly rounded result |
| if( t[j] != q[j] ) |
| { |
| if( ftz && IsDoubleSubnormal(s[j])) |
| { |
| unsigned int correct0 = f->dfunc.i_f( 0.0 ); |
| unsigned int correct1 = f->dfunc.i_f( -0.0 ); |
| if( q[j] == correct0 || q[j] == correct1 ) |
| continue; |
| } |
| |
| uint32_t err = t[j] - q[j]; |
| if( q[j] > t[j] ) |
| err = q[j] - t[j]; |
| vlog_error( "\nERROR: %sD%s: %d ulp error at %.13la: *%d vs. %d\n", f->name, sizeNames[k], err, ((double*) gIn)[j], t[j], q[j] ); |
| error = -1; |
| goto exit; |
| } |
| } |
| } |
| |
| if( 0 == (i & 0x0fffffff) ) |
| { |
| if (gVerboseBruteForce) |
| { |
| vlog("base:%14u step:%10zu bufferSize:%10zd \n", i, step, bufferSize); |
| } else |
| { |
| vlog("." ); |
| } |
| fflush(stdout); |
| |
| } |
| } |
| |
| if( ! gSkipCorrectnessTesting ) |
| { |
| if( gWimpyMode ) |
| vlog( "Wimp pass" ); |
| else |
| vlog( "passed" ); |
| } |
| |
| if( gMeasureTimes ) |
| { |
| //Init input array |
| double *p = (double *)gIn; |
| for( j = 0; j < bufferSize / sizeof( cl_double ); j++ ) |
| p[j] = DoubleFromUInt32( genrand_int32(d) ); |
| if( (error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0, bufferSize, gIn, 0, NULL, NULL) )) |
| { |
| vlog_error( "\n*** Error %d in clEnqueueWriteBuffer ***\n", error ); |
| return error; |
| } |
| |
| |
| // Run the kernels |
| for( j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++ ) |
| { |
| size_t vectorSize = sizeValues[j] * sizeof(cl_double); |
| size_t localCount = (bufferSize + vectorSize - 1) / vectorSize; |
| if( ( error = clSetKernelArg(kernels[j], 0, sizeof( gOutBuffer[j] ), &gOutBuffer[j] ) )) { LogBuildError(programs[j]); goto exit; } |
| if( ( error = clSetKernelArg( kernels[j], 1, sizeof( gInBuffer ), &gInBuffer ) )) { LogBuildError(programs[j]); goto exit; } |
| |
| double sum = 0.0; |
| double bestTime = INFINITY; |
| for( k = 0; k < PERF_LOOP_COUNT; k++ ) |
| { |
| uint64_t startTime = GetTime(); |
| if( (error = clEnqueueNDRangeKernel(gQueue, kernels[j], 1, NULL, &localCount, NULL, 0, NULL, NULL)) ) |
| { |
| vlog_error( "FAILED -- could not execute kernel\n" ); |
| goto exit; |
| } |
| |
| // Make sure OpenCL is done |
| if( (error = clFinish(gQueue) ) ) |
| { |
| vlog_error( "Error %d at clFinish\n", error ); |
| goto exit; |
| } |
| |
| uint64_t endTime = GetTime(); |
| double time = SubtractTime( endTime, startTime ); |
| sum += time; |
| if( time < bestTime ) |
| bestTime = time; |
| } |
| |
| if( gReportAverageTimes ) |
| bestTime = sum / PERF_LOOP_COUNT; |
| double clocksPerOp = bestTime * (double) gDeviceFrequency * gComputeDevices * gSimdSize * 1e6 / (bufferSize / sizeof( double ) ); |
| vlog_perf( clocksPerOp, LOWER_IS_BETTER, "clocks / element", "%sD%s", f->name, sizeNames[j] ); |
| } |
| for( ; j < gMaxVectorSizeIndex; j++ ) |
| vlog( "\t -- " ); |
| } |
| |
| vlog( "\n" ); |
| |
| |
| exit: |
| RestoreFPState(&oldMode); |
| // Release |
| for( k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++ ) |
| { |
| clReleaseKernel(kernels[k]); |
| clReleaseProgram(programs[k]); |
| } |
| |
| return error; |
| } |
| |
