| // |
| // 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 "function_list.h" |
| #include "test_functions.h" |
| #include "utility.h" |
| |
| #include <string.h> |
| |
| 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 float", |
| sizeNames[vectorSize], |
| "* out, __global float", |
| sizeNames[vectorSize], |
| "* in1, __global float", |
| sizeNames[vectorSize], |
| "* in2, __global float", |
| sizeNames[vectorSize], |
| "* in3 )\n" |
| "{\n" |
| " size_t i = get_global_id(0);\n" |
| " out[i] = ", |
| name, |
| "( in1[i], in2[i], in3[i] );\n" |
| "}\n" }; |
| |
| const char *c3[] = { |
| "__kernel void math_kernel", |
| sizeNames[vectorSize], |
| "( __global float* out, __global float* in, __global float* in2, " |
| "__global float* in3)\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" |
| " float3 f1 = vload3( 0, in2 + 3 * i );\n" |
| " float3 f2 = vload3( 0, in3 + 3 * i );\n" |
| " f0 = ", |
| name, |
| "( f0, f1, f2 );\n" |
| " vstore3( f0, 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" |
| " float3 f1;\n" |
| " float3 f2;\n" |
| " switch( parity )\n" |
| " {\n" |
| " case 1:\n" |
| " f0 = (float3)( in[3*i], NAN, NAN ); \n" |
| " f1 = (float3)( in2[3*i], NAN, NAN ); \n" |
| " f2 = (float3)( in3[3*i], NAN, NAN ); \n" |
| " break;\n" |
| " case 0:\n" |
| " f0 = (float3)( in[3*i], in[3*i+1], NAN ); \n" |
| " f1 = (float3)( in2[3*i], in2[3*i+1], NAN ); \n" |
| " f2 = (float3)( in3[3*i], in3[3*i+1], NAN ); \n" |
| " break;\n" |
| " }\n" |
| " f0 = ", |
| name, |
| "( f0, f1, f2 );\n" |
| " switch( parity )\n" |
| " {\n" |
| " case 0:\n" |
| " out[3*i+1] = f0.y; \n" |
| " // fall through\n" |
| " case 1:\n" |
| " out[3*i] = f0.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 double", |
| sizeNames[vectorSize], |
| "* out, __global double", |
| sizeNames[vectorSize], |
| "* in1, __global double", |
| sizeNames[vectorSize], |
| "* in2, __global double", |
| sizeNames[vectorSize], |
| "* in3 )\n" |
| "{\n" |
| " size_t i = get_global_id(0);\n" |
| " out[i] = ", |
| name, |
| "( in1[i], in2[i], in3[i] );\n" |
| "}\n" }; |
| |
| const char *c3[] = { |
| "#pragma OPENCL EXTENSION cl_khr_fp64 : enable\n", |
| "__kernel void math_kernel", |
| sizeNames[vectorSize], |
| "( __global double* out, __global double* in, __global double* in2, " |
| "__global double* in3)\n" |
| "{\n" |
| " size_t i = get_global_id(0);\n" |
| " if( i + 1 < get_global_size(0) )\n" |
| " {\n" |
| " double3 d0 = vload3( 0, in + 3 * i );\n" |
| " double3 d1 = vload3( 0, in2 + 3 * i );\n" |
| " double3 d2 = vload3( 0, in3 + 3 * i );\n" |
| " d0 = ", |
| name, |
| "( d0, d1, d2 );\n" |
| " vstore3( d0, 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 d0;\n" |
| " double3 d1;\n" |
| " double3 d2;\n" |
| " switch( parity )\n" |
| " {\n" |
| " case 1:\n" |
| " d0 = (double3)( in[3*i], NAN, NAN ); \n" |
| " d1 = (double3)( in2[3*i], NAN, NAN ); \n" |
| " d2 = (double3)( in3[3*i], NAN, NAN ); \n" |
| " break;\n" |
| " case 0:\n" |
| " d0 = (double3)( in[3*i], in[3*i+1], NAN ); \n" |
| " d1 = (double3)( in2[3*i], in2[3*i+1], NAN ); \n" |
| " d2 = (double3)( in3[3*i], in3[3*i+1], NAN ); \n" |
| " break;\n" |
| " }\n" |
| " d0 = ", |
| name, |
| "( d0, d1, d2 );\n" |
| " switch( parity )\n" |
| " {\n" |
| " case 0:\n" |
| " out[3*i+1] = d0.y; \n" |
| " // fall through\n" |
| " case 1:\n" |
| " out[3*i] = d0.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) |
| { |
| 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) |
| { |
| 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_mad_Float(const Func *f, MTdata d, bool relaxedMode) |
| { |
| uint64_t i; |
| uint32_t j, k; |
| int error; |
| |
| logFunctionInfo(f->name, sizeof(cl_float), relaxedMode); |
| |
| cl_program programs[VECTOR_SIZE_COUNT]; |
| cl_kernel kernels[VECTOR_SIZE_COUNT]; |
| float maxError = 0.0f; |
| float maxErrorVal = 0.0f; |
| float maxErrorVal2 = 0.0f; |
| float maxErrorVal3 = 0.0f; |
| size_t bufferSize = (gWimpyMode) ? gWimpyBufferSize : BUFFER_SIZE; |
| uint64_t step = getTestStep(sizeof(float), bufferSize); |
| |
| // 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 = 0; i < (1ULL << 32); i += step) |
| { |
| // Init input array |
| cl_uint *p = (cl_uint *)gIn; |
| cl_uint *p2 = (cl_uint *)gIn2; |
| cl_uint *p3 = (cl_uint *)gIn3; |
| for (j = 0; j < bufferSize / sizeof(float); j++) |
| { |
| p[j] = genrand_int32(d); |
| p2[j] = genrand_int32(d); |
| p3[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; |
| } |
| |
| if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer2, CL_FALSE, 0, |
| bufferSize, gIn2, 0, NULL, NULL))) |
| { |
| vlog_error("\n*** Error %d in clEnqueueWriteBuffer2 ***\n", error); |
| return error; |
| } |
| |
| if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer3, CL_FALSE, 0, |
| bufferSize, gIn3, 0, NULL, NULL))) |
| { |
| vlog_error("\n*** Error %d in clEnqueueWriteBuffer3 ***\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 = sizeof(cl_float) * sizeValues[j]; |
| size_t localCount = (bufferSize + vectorSize - 1) |
| / vectorSize; // bufferSize / vectorSize rounded up |
| 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 = clSetKernelArg(kernels[j], 2, sizeof(gInBuffer2), |
| &gInBuffer2))) |
| { |
| LogBuildError(programs[j]); |
| goto exit; |
| } |
| if ((error = clSetKernelArg(kernels[j], 3, sizeof(gInBuffer3), |
| &gInBuffer3))) |
| { |
| 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 |
| float *r = (float *)gOut_Ref; |
| float *s = (float *)gIn; |
| float *s2 = (float *)gIn2; |
| float *s3 = (float *)gIn3; |
| for (j = 0; j < bufferSize / sizeof(float); j++) |
| r[j] = (float)f->func.f_fff(s[j], s2[j], s3[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 -- No verification possible. |
| // MAD is a random number generator. |
| if (0 == (i & 0x0fffffff)) |
| { |
| vlog("."); |
| fflush(stdout); |
| } |
| } |
| |
| if (!gSkipCorrectnessTesting) |
| { |
| if (gWimpyMode) |
| vlog("Wimp pass"); |
| else |
| vlog("passed"); |
| } |
| |
| if (gMeasureTimes) |
| { |
| // Init input array |
| cl_uint *p = (cl_uint *)gIn; |
| cl_uint *p2 = (cl_uint *)gIn2; |
| cl_uint *p3 = (cl_uint *)gIn3; |
| for (j = 0; j < bufferSize / sizeof(float); j++) |
| { |
| p[j] = genrand_int32(d); |
| p2[j] = genrand_int32(d); |
| p3[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; |
| } |
| if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer2, CL_FALSE, 0, |
| bufferSize, gIn2, 0, NULL, NULL))) |
| { |
| vlog_error("\n*** Error %d in clEnqueueWriteBuffer2 ***\n", error); |
| return error; |
| } |
| if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer3, CL_FALSE, 0, |
| bufferSize, gIn3, 0, NULL, NULL))) |
| { |
| vlog_error("\n*** Error %d in clEnqueueWriteBuffer3 ***\n", error); |
| return error; |
| } |
| |
| |
| // Run the kernels |
| for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++) |
| { |
| size_t vectorSize = sizeof(cl_float) * sizeValues[j]; |
| size_t localCount = (bufferSize + vectorSize - 1) |
| / vectorSize; // bufferSize / vectorSize rounded up |
| 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 = clSetKernelArg(kernels[j], 2, sizeof(gInBuffer2), |
| &gInBuffer2))) |
| { |
| LogBuildError(programs[j]); |
| goto exit; |
| } |
| if ((error = clSetKernelArg(kernels[j], 3, sizeof(gInBuffer3), |
| &gInBuffer3))) |
| { |
| 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]); |
| } |
| } |
| |
| if (!gSkipCorrectnessTesting) |
| vlog("\t%8.2f @ {%a, %a, %a}", maxError, maxErrorVal, maxErrorVal2, |
| maxErrorVal3); |
| vlog("\n"); |
| |
| exit: |
| // Release |
| for (k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++) |
| { |
| clReleaseKernel(kernels[k]); |
| clReleaseProgram(programs[k]); |
| } |
| |
| return error; |
| } |
| |
| int TestFunc_mad_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]; |
| float maxError = 0.0f; |
| double maxErrorVal = 0.0f; |
| double maxErrorVal2 = 0.0f; |
| double maxErrorVal3 = 0.0f; |
| size_t bufferSize = (gWimpyMode) ? gWimpyBufferSize : BUFFER_SIZE; |
| uint64_t step = getTestStep(sizeof(double), bufferSize); |
| |
| logFunctionInfo(f->name, sizeof(cl_double), relaxedMode); |
| |
| // 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 = 0; i < (1ULL << 32); i += step) |
| { |
| // Init input array |
| double *p = (double *)gIn; |
| double *p2 = (double *)gIn2; |
| double *p3 = (double *)gIn3; |
| for (j = 0; j < bufferSize / sizeof(double); j++) |
| { |
| p[j] = DoubleFromUInt32(genrand_int32(d)); |
| p2[j] = DoubleFromUInt32(genrand_int32(d)); |
| p3[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; |
| } |
| |
| if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer2, CL_FALSE, 0, |
| bufferSize, gIn2, 0, NULL, NULL))) |
| { |
| vlog_error("\n*** Error %d in clEnqueueWriteBuffer2 ***\n", error); |
| return error; |
| } |
| |
| if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer3, CL_FALSE, 0, |
| bufferSize, gIn3, 0, NULL, NULL))) |
| { |
| vlog_error("\n*** Error %d in clEnqueueWriteBuffer3 ***\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 = sizeof(cl_double) * sizeValues[j]; |
| size_t localCount = (bufferSize + vectorSize - 1) |
| / vectorSize; // bufferSize / vectorSize rounded up |
| 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 = clSetKernelArg(kernels[j], 2, sizeof(gInBuffer2), |
| &gInBuffer2))) |
| { |
| LogBuildError(programs[j]); |
| goto exit; |
| } |
| if ((error = clSetKernelArg(kernels[j], 3, sizeof(gInBuffer3), |
| &gInBuffer3))) |
| { |
| 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 |
| double *r = (double *)gOut_Ref; |
| double *s = (double *)gIn; |
| double *s2 = (double *)gIn2; |
| double *s3 = (double *)gIn3; |
| for (j = 0; j < bufferSize / sizeof(double); j++) |
| r[j] = (double)f->dfunc.f_fff(s[j], s2[j], s3[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 -- No verification possible. |
| // MAD is a random number generator. |
| if (0 == (i & 0x0fffffff)) |
| { |
| vlog("."); |
| fflush(stdout); |
| } |
| } |
| |
| if (!gSkipCorrectnessTesting) |
| { |
| if (gWimpyMode) |
| vlog("Wimp pass"); |
| else |
| vlog("passed"); |
| } |
| |
| if (gMeasureTimes) |
| { |
| // Init input array |
| double *p = (double *)gIn; |
| double *p2 = (double *)gIn2; |
| double *p3 = (double *)gIn3; |
| for (j = 0; j < bufferSize / sizeof(double); j++) |
| { |
| p[j] = DoubleFromUInt32(genrand_int32(d)); |
| p2[j] = DoubleFromUInt32(genrand_int32(d)); |
| p3[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; |
| } |
| |
| if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer2, CL_FALSE, 0, |
| bufferSize, gIn2, 0, NULL, NULL))) |
| { |
| vlog_error("\n*** Error %d in clEnqueueWriteBuffer2 ***\n", error); |
| return error; |
| } |
| |
| if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer3, CL_FALSE, 0, |
| bufferSize, gIn3, 0, NULL, NULL))) |
| { |
| vlog_error("\n*** Error %d in clEnqueueWriteBuffer3 ***\n", error); |
| return error; |
| } |
| |
| // Run the kernels |
| for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++) |
| { |
| size_t vectorSize = sizeof(cl_double) * sizeValues[j]; |
| size_t localCount = (bufferSize + vectorSize - 1) |
| / vectorSize; // bufferSize / vectorSize rounded up |
| 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 = clSetKernelArg(kernels[j], 2, sizeof(gInBuffer2), |
| &gInBuffer2))) |
| { |
| LogBuildError(programs[j]); |
| goto exit; |
| } |
| if ((error = clSetKernelArg(kernels[j], 3, sizeof(gInBuffer3), |
| &gInBuffer3))) |
| { |
| 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 -- "); |
| } |
| |
| if (!gSkipCorrectnessTesting) |
| vlog("\t%8.2f @ {%a, %a, %a}", maxError, maxErrorVal, maxErrorVal2, |
| maxErrorVal3); |
| vlog("\n"); |
| |
| exit: |
| // Release |
| for (k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++) |
| { |
| clReleaseKernel(kernels[k]); |
| clReleaseProgram(programs[k]); |
| } |
| |
| return error; |
| } |
