// // 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 static int BuildKernel(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 BuildKernelFn(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); } 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(BuildKernelFn, 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; }