| // |
| // 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_mad(const Func *f, MTdata, bool relaxedMode); |
| int TestFunc_mad_Double(const Func *f, MTdata, bool relaxedMode); |
| |
| extern const vtbl _mad_tbl = { "ternary", TestFunc_mad, TestFunc_mad_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 float", sizeNames[vectorSize], "* out, __global float", sizeNames[vectorSize], "* in1, __global float", sizeNames[vectorSize], "* in2, __global float", sizeNames[vectorSize], "* in3 )\n" |
| "{\n" |
| " int 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, f1, 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" |
| " int 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, d1, 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 ); |
| 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_mad(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; |
| // int ftz = f->ftz || gForceFTZ || 0 == (CL_FP_DENORM & gFloatCapabilities); |
| float maxErrorVal = 0.0f; |
| float maxErrorVal2 = 0.0f; |
| float maxErrorVal3 = 0.0f; |
| size_t bufferSize = (gWimpyMode)? gWimpyBufferSize: BUFFER_SIZE; |
| uint64_t step = bufferSize / sizeof( float ); |
| |
| if( gWimpyMode ) |
| { |
| step = (1ULL<<32) * gWimpyReductionFactor / (512); |
| } |
| // 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; |
| uint32_t *p2 = (uint32_t *)gIn2; |
| uint32_t *p3 = (uint32_t *)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 -- Commented out on purpose. no verification possible. MAD is a random number generator. |
| /* |
| uint32_t *t = gOut_Ref; |
| for( j = 0; j < bufferSize / sizeof( float ); j++ ) |
| { |
| for( k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++ ) |
| { |
| uint32_t *q = gOut[k]; |
| |
| // If we aren't getting the correctly rounded result |
| if( t[j] != q[j] ) |
| { |
| float test = ((float*) q)[j]; |
| double correct = f->func.f_fff( s[j], s2[j], s3[j] ); |
| float err = Ulp_Error( test, correct ); |
| int fail = ! (fabsf(err) <= f->float_ulps); |
| |
| if( fail && ftz ) |
| { |
| // retry per section 6.5.3.2 |
| if( IsFloatSubnormal(correct) ) |
| { // look at me, |
| fail = fail && ( test != 0.0f ); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| |
| // retry per section 6.5.3.3 |
| if( fail && IsFloatSubnormal( s[j] ) ) |
| { // look at me, |
| double correct2 = f->func.f_fff( 0.0, s2[j], s3[j] ); |
| double correct3 = f->func.f_fff( -0.0, s2[j], s3[j] ); |
| float err2 = Ulp_Error( test, correct2 ); |
| float err3 = Ulp_Error( test, correct3 ); |
| fail = fail && ((!(fabsf(err2) <= f->float_ulps)) && (!(fabsf(err3) <= f->float_ulps))); |
| if( fabsf( err2 ) < fabsf(err ) ) |
| err = err2; |
| if( fabsf( err3 ) < fabsf(err ) ) |
| err = err3; |
| |
| // retry per section 6.5.3.4 |
| if( IsFloatResultSubnormal(correct2, f->float_ulps ) || IsFloatResultSubnormal(correct3, f->float_ulps ) ) |
| { // look at me now, |
| fail = fail && ( test != 0.0f); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| |
| //try with first two args as zero |
| if( IsFloatSubnormal( s2[j] ) ) |
| { // its fun to have fun, |
| correct2 = f->func.f_fff( 0.0, 0.0, s3[j] ); |
| correct3 = f->func.f_fff( -0.0, 0.0, s3[j] ); |
| double correct4 = f->func.f_fff( 0.0, -0.0, s3[j] ); |
| double correct5 = f->func.f_fff( -0.0, -0.0, s3[j] ); |
| err2 = Ulp_Error( test, correct2 ); |
| err3 = Ulp_Error( test, correct3 ); |
| float err4 = Ulp_Error( test, correct4 ); |
| float err5 = Ulp_Error( test, correct5 ); |
| fail = fail && ((!(fabsf(err2) <= f->float_ulps)) && (!(fabsf(err3) <= f->float_ulps)) && |
| (!(fabsf(err4) <= f->float_ulps)) && (!(fabsf(err5) <= f->float_ulps))); |
| if( fabsf( err2 ) < fabsf(err ) ) |
| err = err2; |
| if( fabsf( err3 ) < fabsf(err ) ) |
| err = err3; |
| if( fabsf( err4 ) < fabsf(err ) ) |
| err = err4; |
| if( fabsf( err5 ) < fabsf(err ) ) |
| err = err5; |
| |
| // retry per section 6.5.3.4 |
| if( IsFloatResultSubnormal(correct2, f->float_ulps ) || IsFloatResultSubnormal(correct3, f->float_ulps ) || |
| IsFloatResultSubnormal(correct4, f->float_ulps ) || IsFloatResultSubnormal(correct5, f->float_ulps ) ) |
| { |
| fail = fail && ( test != 0.0f); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| |
| if( IsFloatSubnormal( s3[j] ) ) |
| { // but you have to know how! |
| correct2 = f->func.f_fff( 0.0, 0.0, 0.0f ); |
| correct3 = f->func.f_fff( -0.0, 0.0, 0.0f ); |
| correct4 = f->func.f_fff( 0.0, -0.0, 0.0f ); |
| correct5 = f->func.f_fff( -0.0, -0.0, 0.0f ); |
| double correct6 = f->func.f_fff( 0.0, 0.0, -0.0f ); |
| double correct7 = f->func.f_fff( -0.0, 0.0, -0.0f ); |
| double correct8 = f->func.f_fff( 0.0, -0.0, -0.0f ); |
| double correct9 = f->func.f_fff( -0.0, -0.0, -0.0f ); |
| err2 = Ulp_Error( test, correct2 ); |
| err3 = Ulp_Error( test, correct3 ); |
| err4 = Ulp_Error( test, correct4 ); |
| err5 = Ulp_Error( test, correct5 ); |
| float err6 = Ulp_Error( test, correct6 ); |
| float err7 = Ulp_Error( test, correct7 ); |
| float err8 = Ulp_Error( test, correct8 ); |
| float err9 = Ulp_Error( test, correct9 ); |
| fail = fail && ((!(fabsf(err2) <= f->float_ulps)) && (!(fabsf(err3) <= f->float_ulps)) && |
| (!(fabsf(err4) <= f->float_ulps)) && (!(fabsf(err5) <= f->float_ulps)) && |
| (!(fabsf(err5) <= f->float_ulps)) && (!(fabsf(err6) <= f->float_ulps)) && |
| (!(fabsf(err7) <= f->float_ulps)) && (!(fabsf(err8) <= f->float_ulps))); |
| if( fabsf( err2 ) < fabsf(err ) ) |
| err = err2; |
| if( fabsf( err3 ) < fabsf(err ) ) |
| err = err3; |
| if( fabsf( err4 ) < fabsf(err ) ) |
| err = err4; |
| if( fabsf( err5 ) < fabsf(err ) ) |
| err = err5; |
| if( fabsf( err6 ) < fabsf(err ) ) |
| err = err6; |
| if( fabsf( err7 ) < fabsf(err ) ) |
| err = err7; |
| if( fabsf( err8 ) < fabsf(err ) ) |
| err = err8; |
| if( fabsf( err9 ) < fabsf(err ) ) |
| err = err9; |
| |
| // retry per section 6.5.3.4 |
| if( IsFloatResultSubnormal(correct2, f->float_ulps ) || IsFloatResultSubnormal(correct3, f->float_ulps ) || |
| IsFloatResultSubnormal(correct4, f->float_ulps ) || IsFloatResultSubnormal(correct5, f->float_ulps ) || |
| IsFloatResultSubnormal( correct6, f->float_ulps ) || IsFloatResultSubnormal(correct7, f->float_ulps ) || |
| IsFloatResultSubnormal(correct8, f->float_ulps ) || IsFloatResultSubnormal( correct9, f->float_ulps ) ) |
| { |
| fail = fail && ( test != 0.0f); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| } |
| } |
| else if( IsFloatSubnormal( s3[j] ) ) |
| { |
| correct2 = f->func.f_fff( 0.0, s2[j], 0.0 ); |
| correct3 = f->func.f_fff( -0.0, s2[j], 0.0 ); |
| double correct4 = f->func.f_fff( 0.0, s2[j], -0.0 ); |
| double correct5 = f->func.f_fff( -0.0, s2[j], -0.0 ); |
| err2 = Ulp_Error( test, correct2 ); |
| err3 = Ulp_Error( test, correct3 ); |
| float err4 = Ulp_Error( test, correct4 ); |
| float err5 = Ulp_Error( test, correct5 ); |
| fail = fail && ((!(fabsf(err2) <= f->float_ulps)) && (!(fabsf(err3) <= f->float_ulps)) && |
| (!(fabsf(err4) <= f->float_ulps)) && (!(fabsf(err5) <= f->float_ulps))); |
| if( fabsf( err2 ) < fabsf(err ) ) |
| err = err2; |
| if( fabsf( err3 ) < fabsf(err ) ) |
| err = err3; |
| if( fabsf( err4 ) < fabsf(err ) ) |
| err = err4; |
| if( fabsf( err5 ) < fabsf(err ) ) |
| err = err5; |
| |
| // retry per section 6.5.3.4 |
| if( IsFloatResultSubnormal(correct2, f->float_ulps ) || IsFloatResultSubnormal(correct3, f->float_ulps ) || |
| IsFloatResultSubnormal(correct4, f->float_ulps ) || IsFloatResultSubnormal(correct5, f->float_ulps ) ) |
| { |
| fail = fail && ( test != 0.0f); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| } |
| } |
| else if( fail && IsFloatSubnormal( s2[j] ) ) |
| { |
| double correct2 = f->func.f_fff( s[j], 0.0, s3[j] ); |
| double correct3 = f->func.f_fff( s[j], -0.0, s3[j] ); |
| float err2 = Ulp_Error( test, correct2 ); |
| float err3 = Ulp_Error( test, correct3 ); |
| fail = fail && ((!(fabsf(err2) <= f->float_ulps)) && (!(fabsf(err3) <= f->float_ulps))); |
| if( fabsf( err2 ) < fabsf(err ) ) |
| err = err2; |
| if( fabsf( err3 ) < fabsf(err ) ) |
| err = err3; |
| |
| // retry per section 6.5.3.4 |
| if( IsFloatResultSubnormal(correct2, f->float_ulps ) || IsFloatResultSubnormal(correct3, f->float_ulps ) ) |
| { |
| fail = fail && ( test != 0.0f); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| |
| //try with second two args as zero |
| if( IsFloatSubnormal( s3[j] ) ) |
| { |
| correct2 = f->func.f_fff( s[j], 0.0, 0.0 ); |
| correct3 = f->func.f_fff( s[j], -0.0, 0.0 ); |
| double correct4 = f->func.f_fff( s[j], 0.0, -0.0 ); |
| double correct5 = f->func.f_fff( s[j], -0.0, -0.0 ); |
| err2 = Ulp_Error( test, correct2 ); |
| err3 = Ulp_Error( test, correct3 ); |
| float err4 = Ulp_Error( test, correct4 ); |
| float err5 = Ulp_Error( test, correct5 ); |
| fail = fail && ((!(fabsf(err2) <= f->float_ulps)) && (!(fabsf(err3) <= f->float_ulps)) && |
| (!(fabsf(err4) <= f->float_ulps)) && (!(fabsf(err5) <= f->float_ulps))); |
| if( fabsf( err2 ) < fabsf(err ) ) |
| err = err2; |
| if( fabsf( err3 ) < fabsf(err ) ) |
| err = err3; |
| if( fabsf( err4 ) < fabsf(err ) ) |
| err = err4; |
| if( fabsf( err5 ) < fabsf(err ) ) |
| err = err5; |
| |
| // retry per section 6.5.3.4 |
| if( IsFloatResultSubnormal(correct2, f->float_ulps ) || IsFloatResultSubnormal(correct3, f->float_ulps ) || |
| IsFloatResultSubnormal(correct4, f->float_ulps ) || IsFloatResultSubnormal(correct5, f->float_ulps ) ) |
| { |
| fail = fail && ( test != 0.0f); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| } |
| } |
| else if( fail && IsFloatSubnormal(s3[j]) ) |
| { |
| double correct2 = f->func.f_fff( s[j], s2[j], 0.0 ); |
| double correct3 = f->func.f_fff( s[j], s2[j], -0.0 ); |
| float err2 = Ulp_Error( test, correct2 ); |
| float err3 = Ulp_Error( test, correct3 ); |
| fail = fail && ((!(fabsf(err2) <= f->float_ulps)) && (!(fabsf(err3) <= f->float_ulps))); |
| if( fabsf( err2 ) < fabsf(err ) ) |
| err = err2; |
| if( fabsf( err3 ) < fabsf(err ) ) |
| err = err3; |
| |
| // retry per section 6.5.3.4 |
| if( IsFloatResultSubnormal(correct2, f->float_ulps ) || IsFloatResultSubnormal(correct3, f->float_ulps ) ) |
| { |
| fail = fail && ( test != 0.0f); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| } |
| } |
| |
| if( fabsf(err ) > maxError ) |
| { |
| maxError = fabsf(err); |
| maxErrorVal = s[j]; |
| maxErrorVal2 = s2[j]; |
| maxErrorVal3 = s3[j]; |
| } |
| |
| if( fail ) |
| { |
| vlog_error( "\nERROR: %s%s: %f ulp error at {%a, %a, %a}: *%a vs. %a\n", f->name, sizeNames[k], err, s[j], s2[j], s3[j], ((float*) gOut_Ref)[j], test ); |
| error = -1; |
| goto exit; |
| } |
| } |
| } |
| } |
| */ |
| if( 0 == (i & 0x0fffffff) ) |
| { |
| vlog("." ); |
| fflush(stdout); |
| } |
| } |
| |
| if( ! gSkipCorrectnessTesting ) |
| { |
| if( gWimpyMode ) |
| vlog( "Wimp pass" ); |
| else |
| vlog( "pass" ); |
| } |
| |
| if( gMeasureTimes ) |
| { |
| //Init input array |
| uint32_t *p = (uint32_t *)gIn; |
| uint32_t *p2 = (uint32_t *)gIn2; |
| uint32_t *p3 = (uint32_t *)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; |
| // int ftz = f->ftz || gForceFTZ; |
| double maxErrorVal = 0.0f; |
| double maxErrorVal2 = 0.0f; |
| double maxErrorVal3 = 0.0f; |
| size_t bufferSize = (gWimpyMode)? gWimpyBufferSize: BUFFER_SIZE; |
| |
| logFunctionInfo(f->name, sizeof(cl_double), relaxedMode); |
| uint64_t step = bufferSize / sizeof( double ); |
| if( gWimpyMode ) |
| { |
| step = (1ULL<<32) * gWimpyReductionFactor / (512); |
| } |
| // 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; |
| 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 -- Commented out on purpose. no verification possible. MAD is a random number generator. |
| /* |
| uint64_t *t = gOut_Ref; |
| for( j = 0; j < bufferSize / sizeof( double ); j++ ) |
| { |
| for( k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++ ) |
| { |
| uint64_t *q = gOut[k]; |
| |
| // If we aren't getting the correctly rounded result |
| if( t[j] != q[j] ) |
| { |
| double test = ((double*) q)[j]; |
| long double correct = f->dfunc.f_fff( s[j], s2[j], s3[j] ); |
| float err = Bruteforce_Ulp_Error_Double( test, correct ); |
| int fail = ! (fabsf(err) <= f->double_ulps); |
| |
| if( fail && ftz ) |
| { |
| // retry per section 6.5.3.2 |
| if( IsDoubleResultSubnormal(correct, f->double_ulps) ) |
| { // look at me, |
| fail = fail && ( test != 0.0f ); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| |
| // retry per section 6.5.3.3 |
| if( fail && IsDoubleSubnormal( s[j] ) ) |
| { // look at me, |
| long double correct2 = f->dfunc.f_fff( 0.0, s2[j], s3[j] ); |
| long double correct3 = f->dfunc.f_fff( -0.0, s2[j], s3[j] ); |
| float err2 = Bruteforce_Ulp_Error_Double( test, correct2 ); |
| float err3 = Bruteforce_Ulp_Error_Double( test, correct3 ); |
| fail = fail && ((!(fabsf(err2) <= f->double_ulps)) && (!(fabsf(err3) <= f->double_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, f->double_ulps ) || IsDoubleResultSubnormal( correct3, f->double_ulps ) ) |
| { // look at me now, |
| fail = fail && ( test != 0.0f); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| |
| //try with first two args as zero |
| if( IsDoubleSubnormal( s2[j] ) ) |
| { // its fun to have fun, |
| correct2 = f->dfunc.f_fff( 0.0, 0.0, s3[j] ); |
| correct3 = f->dfunc.f_fff( -0.0, 0.0, s3[j] ); |
| long double correct4 = f->dfunc.f_fff( 0.0, -0.0, s3[j] ); |
| long double correct5 = f->dfunc.f_fff( -0.0, -0.0, s3[j] ); |
| err2 = Bruteforce_Ulp_Error_Double( test, correct2 ); |
| err3 = Bruteforce_Ulp_Error_Double( test, correct3 ); |
| float err4 = Bruteforce_Ulp_Error_Double( test, correct4 ); |
| float err5 = Bruteforce_Ulp_Error_Double( test, correct5 ); |
| fail = fail && ((!(fabsf(err2) <= f->double_ulps)) && (!(fabsf(err3) <= f->double_ulps)) && |
| (!(fabsf(err4) <= f->double_ulps)) && (!(fabsf(err5) <= f->double_ulps))); |
| if( fabsf( err2 ) < fabsf(err ) ) |
| err = err2; |
| if( fabsf( err3 ) < fabsf(err ) ) |
| err = err3; |
| if( fabsf( err4 ) < fabsf(err ) ) |
| err = err4; |
| if( fabsf( err5 ) < fabsf(err ) ) |
| err = err5; |
| |
| // retry per section 6.5.3.4 |
| if( IsDoubleResultSubnormal( correct2, f->double_ulps ) || IsDoubleResultSubnormal( correct3, f->double_ulps ) || |
| IsDoubleResultSubnormal( correct4, f->double_ulps ) || IsDoubleResultSubnormal( correct5, f->double_ulps ) ) |
| { |
| fail = fail && ( test != 0.0f); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| |
| if( IsDoubleSubnormal( s3[j] ) ) |
| { // but you have to know how! |
| correct2 = f->dfunc.f_fff( 0.0, 0.0, 0.0f ); |
| correct3 = f->dfunc.f_fff( -0.0, 0.0, 0.0f ); |
| correct4 = f->dfunc.f_fff( 0.0, -0.0, 0.0f ); |
| correct5 = f->dfunc.f_fff( -0.0, -0.0, 0.0f ); |
| long double correct6 = f->dfunc.f_fff( 0.0, 0.0, -0.0f ); |
| long double correct7 = f->dfunc.f_fff( -0.0, 0.0, -0.0f ); |
| long double correct8 = f->dfunc.f_fff( 0.0, -0.0, -0.0f ); |
| long double correct9 = f->dfunc.f_fff( -0.0, -0.0, -0.0f ); |
| err2 = Bruteforce_Ulp_Error_Double( test, correct2 ); |
| err3 = Bruteforce_Ulp_Error_Double( test, correct3 ); |
| err4 = Bruteforce_Ulp_Error_Double( test, correct4 ); |
| err5 = Bruteforce_Ulp_Error_Double( test, correct5 ); |
| float err6 = Bruteforce_Ulp_Error_Double( test, correct6 ); |
| float err7 = Bruteforce_Ulp_Error_Double( test, correct7 ); |
| float err8 = Bruteforce_Ulp_Error_Double( test, correct8 ); |
| float err9 = Bruteforce_Ulp_Error_Double( test, correct9 ); |
| fail = fail && ((!(fabsf(err2) <= f->double_ulps)) && (!(fabsf(err3) <= f->double_ulps)) && |
| (!(fabsf(err4) <= f->double_ulps)) && (!(fabsf(err5) <= f->double_ulps)) && |
| (!(fabsf(err5) <= f->double_ulps)) && (!(fabsf(err6) <= f->double_ulps)) && |
| (!(fabsf(err7) <= f->double_ulps)) && (!(fabsf(err8) <= f->double_ulps))); |
| if( fabsf( err2 ) < fabsf(err ) ) |
| err = err2; |
| if( fabsf( err3 ) < fabsf(err ) ) |
| err = err3; |
| if( fabsf( err4 ) < fabsf(err ) ) |
| err = err4; |
| if( fabsf( err5 ) < fabsf(err ) ) |
| err = err5; |
| if( fabsf( err6 ) < fabsf(err ) ) |
| err = err6; |
| if( fabsf( err7 ) < fabsf(err ) ) |
| err = err7; |
| if( fabsf( err8 ) < fabsf(err ) ) |
| err = err8; |
| if( fabsf( err9 ) < fabsf(err ) ) |
| err = err9; |
| |
| // retry per section 6.5.3.4 |
| if( IsDoubleResultSubnormal( correct2, f->double_ulps ) || IsDoubleResultSubnormal( correct3, f->double_ulps ) || |
| IsDoubleResultSubnormal( correct4, f->double_ulps ) || IsDoubleResultSubnormal( correct5, f->double_ulps ) || |
| IsDoubleResultSubnormal( correct6, f->double_ulps ) || IsDoubleResultSubnormal( correct7, f->double_ulps ) || |
| IsDoubleResultSubnormal( correct8, f->double_ulps ) || IsDoubleResultSubnormal( correct9, f->double_ulps ) ) |
| { |
| fail = fail && ( test != 0.0f); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| } |
| } |
| else if( IsDoubleSubnormal( s3[j] ) ) |
| { |
| correct2 = f->dfunc.f_fff( 0.0, s2[j], 0.0 ); |
| correct3 = f->dfunc.f_fff( -0.0, s2[j], 0.0 ); |
| long double correct4 = f->dfunc.f_fff( 0.0, s2[j], -0.0 ); |
| long double correct5 = f->dfunc.f_fff( -0.0, s2[j], -0.0 ); |
| err2 = Bruteforce_Ulp_Error_Double( test, correct2 ); |
| err3 = Bruteforce_Ulp_Error_Double( test, correct3 ); |
| float err4 = Bruteforce_Ulp_Error_Double( test, correct4 ); |
| float err5 = Bruteforce_Ulp_Error_Double( test, correct5 ); |
| fail = fail && ((!(fabsf(err2) <= f->double_ulps)) && (!(fabsf(err3) <= f->double_ulps)) && |
| (!(fabsf(err4) <= f->double_ulps)) && (!(fabsf(err5) <= f->double_ulps))); |
| if( fabsf( err2 ) < fabsf(err ) ) |
| err = err2; |
| if( fabsf( err3 ) < fabsf(err ) ) |
| err = err3; |
| if( fabsf( err4 ) < fabsf(err ) ) |
| err = err4; |
| if( fabsf( err5 ) < fabsf(err ) ) |
| err = err5; |
| |
| // retry per section 6.5.3.4 |
| if( IsDoubleResultSubnormal( correct2, f->double_ulps ) || IsDoubleResultSubnormal( correct3, f->double_ulps ) || |
| IsDoubleResultSubnormal( correct4, f->double_ulps ) || IsDoubleResultSubnormal( correct5, f->double_ulps ) ) |
| { |
| fail = fail && ( test != 0.0f); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| } |
| } |
| else if( fail && IsDoubleSubnormal( s2[j] ) ) |
| { |
| long double correct2 = f->dfunc.f_fff( s[j], 0.0, s3[j] ); |
| long double correct3 = f->dfunc.f_fff( s[j], -0.0, s3[j] ); |
| float err2 = Bruteforce_Ulp_Error_Double( test, correct2 ); |
| float err3 = Bruteforce_Ulp_Error_Double( test, correct3 ); |
| fail = fail && ((!(fabsf(err2) <= f->double_ulps)) && (!(fabsf(err3) <= f->double_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, f->double_ulps ) || IsDoubleResultSubnormal( correct3, f->double_ulps ) ) |
| { |
| fail = fail && ( test != 0.0f); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| |
| //try with second two args as zero |
| if( IsDoubleSubnormal( s3[j] ) ) |
| { |
| correct2 = f->dfunc.f_fff( s[j], 0.0, 0.0 ); |
| correct3 = f->dfunc.f_fff( s[j], -0.0, 0.0 ); |
| long double correct4 = f->dfunc.f_fff( s[j], 0.0, -0.0 ); |
| long double correct5 = f->dfunc.f_fff( s[j], -0.0, -0.0 ); |
| err2 = Bruteforce_Ulp_Error_Double( test, correct2 ); |
| err3 = Bruteforce_Ulp_Error_Double( test, correct3 ); |
| float err4 = Bruteforce_Ulp_Error_Double( test, correct4 ); |
| float err5 = Bruteforce_Ulp_Error_Double( test, correct5 ); |
| fail = fail && ((!(fabsf(err2) <= f->double_ulps)) && (!(fabsf(err3) <= f->double_ulps)) && |
| (!(fabsf(err4) <= f->double_ulps)) && (!(fabsf(err5) <= f->double_ulps))); |
| if( fabsf( err2 ) < fabsf(err ) ) |
| err = err2; |
| if( fabsf( err3 ) < fabsf(err ) ) |
| err = err3; |
| if( fabsf( err4 ) < fabsf(err ) ) |
| err = err4; |
| if( fabsf( err5 ) < fabsf(err ) ) |
| err = err5; |
| |
| // retry per section 6.5.3.4 |
| if( IsDoubleResultSubnormal( correct2, f->double_ulps ) || IsDoubleResultSubnormal( correct3, f->double_ulps ) || |
| IsDoubleResultSubnormal( correct4, f->double_ulps ) || IsDoubleResultSubnormal( correct5, f->double_ulps ) ) |
| { |
| fail = fail && ( test != 0.0f); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| } |
| } |
| else if( fail && IsDoubleSubnormal(s3[j]) ) |
| { |
| long double correct2 = f->dfunc.f_fff( s[j], s2[j], 0.0 ); |
| long double correct3 = f->dfunc.f_fff( s[j], s2[j], -0.0 ); |
| float err2 = Bruteforce_Ulp_Error_Double( test, correct2 ); |
| float err3 = Bruteforce_Ulp_Error_Double( test, correct3 ); |
| fail = fail && ((!(fabsf(err2) <= f->double_ulps)) && (!(fabsf(err3) <= f->double_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, f->double_ulps ) || IsDoubleResultSubnormal( correct3, f->double_ulps ) ) |
| { |
| fail = fail && ( test != 0.0f); |
| if( ! fail ) |
| err = 0.0f; |
| } |
| } |
| } |
| |
| if( fabsf(err ) > maxError ) |
| { |
| maxError = fabsf(err); |
| maxErrorVal = s[j]; |
| maxErrorVal2 = s2[j]; |
| maxErrorVal3 = s3[j]; |
| } |
| |
| if( fail ) |
| { |
| vlog_error( "\nERROR: %sD%s: %f ulp error at {%a, %a, %a}: *%a vs. %a\n", f->name, sizeNames[k], err, s[j], s2[j], s3[j], ((double*) gOut_Ref)[j], test ); |
| error = -1; |
| goto exit; |
| } |
| } |
| } |
| } |
| */ |
| if( 0 == (i & 0x0fffffff) ) |
| { |
| vlog("." ); |
| fflush(stdout); |
| } |
| } |
| |
| if( ! gSkipCorrectnessTesting ) |
| { |
| if( gWimpyMode ) |
| vlog( "Wimp pass" ); |
| else |
| vlog( "pass" ); |
| } |
| |
| 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; |
| } |
| |
| |
| |
