| // |
| // 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 <cstring> |
| |
| static int BuildKernel(const char *name, int vectorSize, cl_uint kernel_count, |
| 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], |
| "* in1, __global float", |
| sizeNames[vectorSize], |
| "* in2 )\n" |
| "{\n" |
| " size_t i = get_global_id(0);\n" |
| " out[i] = ", |
| name, |
| "( in1[i], in2[i] );\n" |
| "}\n" }; |
| |
| const char *c3[] = { |
| "__kernel void math_kernel", |
| sizeNames[vectorSize], |
| "( __global int* out, __global float* in, __global float* in2)\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" |
| " int3 i0 = ", |
| name, |
| "( f0, f1 );\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" |
| " float3 f1;\n" |
| " switch( parity )\n" |
| " {\n" |
| " case 1:\n" |
| " f0 = (float3)( in[3*i], NAN, NAN ); \n" |
| " f1 = (float3)( in2[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" |
| " break;\n" |
| " }\n" |
| " int3 i0 = ", |
| name, |
| "( f0, f1 );\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 MakeKernels(kern, (cl_uint)kernSize, testName, kernel_count, k, p, |
| relaxedMode); |
| } |
| |
| typedef struct BuildKernelInfo |
| { |
| cl_uint offset; // the first vector size to build |
| cl_uint kernel_count; |
| 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->kernel_count, |
| info->kernels[i], info->programs + i, info->relaxedMode); |
| } |
| |
| // Thread specific data for a worker thread |
| typedef struct ThreadInfo |
| { |
| cl_mem inBuf; // input buffer for the thread |
| cl_mem inBuf2; // input buffer for the thread |
| cl_mem outBuf[VECTOR_SIZE_COUNT]; // output buffers for the thread |
| MTdata d; |
| cl_command_queue tQueue; // per thread command queue to improve performance |
| } ThreadInfo; |
| |
| typedef struct TestInfo |
| { |
| size_t subBufferSize; // Size of the sub-buffer in elements |
| const Func *f; // A pointer to the function info |
| cl_program programs[VECTOR_SIZE_COUNT]; // programs for various vector sizes |
| cl_kernel |
| *k[VECTOR_SIZE_COUNT]; // arrays of thread-specific kernels for each |
| // worker thread: k[vector_size][thread_id] |
| ThreadInfo * |
| tinfo; // An array of thread specific information for each worker thread |
| cl_uint threadCount; // Number of worker threads |
| cl_uint jobCount; // Number of jobs |
| cl_uint step; // step between each chunk and the next. |
| cl_uint scale; // stride between individual test values |
| int ftz; // non-zero if running in flush to zero mode |
| |
| } TestInfo; |
| |
| // A table of more difficult cases to get right |
| static const float specialValues[] = { |
| -NAN, |
| -INFINITY, |
| -FLT_MAX, |
| MAKE_HEX_FLOAT(-0x1.000002p64f, -0x1000002L, 40), |
| MAKE_HEX_FLOAT(-0x1.0p64f, -0x1L, 64), |
| MAKE_HEX_FLOAT(-0x1.fffffep63f, -0x1fffffeL, 39), |
| MAKE_HEX_FLOAT(-0x1.000002p63f, -0x1000002L, 39), |
| MAKE_HEX_FLOAT(-0x1.0p63f, -0x1L, 63), |
| MAKE_HEX_FLOAT(-0x1.fffffep62f, -0x1fffffeL, 38), |
| MAKE_HEX_FLOAT(-0x1.000002p32f, -0x1000002L, 8), |
| MAKE_HEX_FLOAT(-0x1.0p32f, -0x1L, 32), |
| MAKE_HEX_FLOAT(-0x1.fffffep31f, -0x1fffffeL, 7), |
| MAKE_HEX_FLOAT(-0x1.000002p31f, -0x1000002L, 7), |
| MAKE_HEX_FLOAT(-0x1.0p31f, -0x1L, 31), |
| MAKE_HEX_FLOAT(-0x1.fffffep30f, -0x1fffffeL, 6), |
| -1000.f, |
| -100.f, |
| -4.0f, |
| -3.5f, |
| -3.0f, |
| MAKE_HEX_FLOAT(-0x1.800002p1f, -0x1800002L, -23), |
| -2.5f, |
| MAKE_HEX_FLOAT(-0x1.7ffffep1f, -0x17ffffeL, -23), |
| -2.0f, |
| MAKE_HEX_FLOAT(-0x1.800002p0f, -0x1800002L, -24), |
| -1.5f, |
| MAKE_HEX_FLOAT(-0x1.7ffffep0f, -0x17ffffeL, -24), |
| MAKE_HEX_FLOAT(-0x1.000002p0f, -0x1000002L, -24), |
| -1.0f, |
| MAKE_HEX_FLOAT(-0x1.fffffep-1f, -0x1fffffeL, -25), |
| MAKE_HEX_FLOAT(-0x1.000002p-1f, -0x1000002L, -25), |
| -0.5f, |
| MAKE_HEX_FLOAT(-0x1.fffffep-2f, -0x1fffffeL, -26), |
| MAKE_HEX_FLOAT(-0x1.000002p-2f, -0x1000002L, -26), |
| -0.25f, |
| MAKE_HEX_FLOAT(-0x1.fffffep-3f, -0x1fffffeL, -27), |
| MAKE_HEX_FLOAT(-0x1.000002p-126f, -0x1000002L, -150), |
| -FLT_MIN, |
| MAKE_HEX_FLOAT(-0x0.fffffep-126f, -0x0fffffeL, -150), |
| MAKE_HEX_FLOAT(-0x0.000ffep-126f, -0x0000ffeL, -150), |
| MAKE_HEX_FLOAT(-0x0.0000fep-126f, -0x00000feL, -150), |
| MAKE_HEX_FLOAT(-0x0.00000ep-126f, -0x000000eL, -150), |
| MAKE_HEX_FLOAT(-0x0.00000cp-126f, -0x000000cL, -150), |
| MAKE_HEX_FLOAT(-0x0.00000ap-126f, -0x000000aL, -150), |
| MAKE_HEX_FLOAT(-0x0.000008p-126f, -0x0000008L, -150), |
| MAKE_HEX_FLOAT(-0x0.000006p-126f, -0x0000006L, -150), |
| MAKE_HEX_FLOAT(-0x0.000004p-126f, -0x0000004L, -150), |
| MAKE_HEX_FLOAT(-0x0.000002p-126f, -0x0000002L, -150), |
| -0.0f, |
| |
| +NAN, |
| +INFINITY, |
| +FLT_MAX, |
| MAKE_HEX_FLOAT(+0x1.000002p64f, +0x1000002L, 40), |
| MAKE_HEX_FLOAT(+0x1.0p64f, +0x1L, 64), |
| MAKE_HEX_FLOAT(+0x1.fffffep63f, +0x1fffffeL, 39), |
| MAKE_HEX_FLOAT(+0x1.000002p63f, +0x1000002L, 39), |
| MAKE_HEX_FLOAT(+0x1.0p63f, +0x1L, 63), |
| MAKE_HEX_FLOAT(+0x1.fffffep62f, +0x1fffffeL, 38), |
| MAKE_HEX_FLOAT(+0x1.000002p32f, +0x1000002L, 8), |
| MAKE_HEX_FLOAT(+0x1.0p32f, +0x1L, 32), |
| MAKE_HEX_FLOAT(+0x1.fffffep31f, +0x1fffffeL, 7), |
| MAKE_HEX_FLOAT(+0x1.000002p31f, +0x1000002L, 7), |
| MAKE_HEX_FLOAT(+0x1.0p31f, +0x1L, 31), |
| MAKE_HEX_FLOAT(+0x1.fffffep30f, +0x1fffffeL, 6), |
| +1000.f, |
| +100.f, |
| +4.0f, |
| +3.5f, |
| +3.0f, |
| MAKE_HEX_FLOAT(+0x1.800002p1f, +0x1800002L, -23), |
| 2.5f, |
| MAKE_HEX_FLOAT(+0x1.7ffffep1f, +0x17ffffeL, -23), |
| +2.0f, |
| MAKE_HEX_FLOAT(+0x1.800002p0f, +0x1800002L, -24), |
| 1.5f, |
| MAKE_HEX_FLOAT(+0x1.7ffffep0f, +0x17ffffeL, -24), |
| MAKE_HEX_FLOAT(+0x1.000002p0f, +0x1000002L, -24), |
| +1.0f, |
| MAKE_HEX_FLOAT(+0x1.fffffep-1f, +0x1fffffeL, -25), |
| MAKE_HEX_FLOAT(+0x1.000002p-1f, +0x1000002L, -25), |
| +0.5f, |
| MAKE_HEX_FLOAT(+0x1.fffffep-2f, +0x1fffffeL, -26), |
| MAKE_HEX_FLOAT(+0x1.000002p-2f, +0x1000002L, -26), |
| +0.25f, |
| MAKE_HEX_FLOAT(+0x1.fffffep-3f, +0x1fffffeL, -27), |
| MAKE_HEX_FLOAT(0x1.000002p-126f, 0x1000002L, -150), |
| +FLT_MIN, |
| MAKE_HEX_FLOAT(+0x0.fffffep-126f, +0x0fffffeL, -150), |
| MAKE_HEX_FLOAT(+0x0.000ffep-126f, +0x0000ffeL, -150), |
| MAKE_HEX_FLOAT(+0x0.0000fep-126f, +0x00000feL, -150), |
| MAKE_HEX_FLOAT(+0x0.00000ep-126f, +0x000000eL, -150), |
| MAKE_HEX_FLOAT(+0x0.00000cp-126f, +0x000000cL, -150), |
| MAKE_HEX_FLOAT(+0x0.00000ap-126f, +0x000000aL, -150), |
| MAKE_HEX_FLOAT(+0x0.000008p-126f, +0x0000008L, -150), |
| MAKE_HEX_FLOAT(+0x0.000006p-126f, +0x0000006L, -150), |
| MAKE_HEX_FLOAT(+0x0.000004p-126f, +0x0000004L, -150), |
| MAKE_HEX_FLOAT(+0x0.000002p-126f, +0x0000002L, -150), |
| +0.0f, |
| }; |
| |
| static const size_t specialValuesCount = |
| sizeof(specialValues) / sizeof(specialValues[0]); |
| |
| static cl_int Test(cl_uint job_id, cl_uint thread_id, void *data); |
| |
| int TestMacro_Int_Float_Float(const Func *f, MTdata d, bool relaxedMode) |
| { |
| TestInfo test_info; |
| cl_int error; |
| size_t i, j; |
| |
| logFunctionInfo(f->name, sizeof(cl_float), relaxedMode); |
| |
| // Init test_info |
| memset(&test_info, 0, sizeof(test_info)); |
| test_info.threadCount = GetThreadCount(); |
| test_info.subBufferSize = BUFFER_SIZE |
| / (sizeof(cl_float) * RoundUpToNextPowerOfTwo(test_info.threadCount)); |
| test_info.scale = getTestScale(sizeof(cl_float)); |
| |
| if (gWimpyMode) |
| { |
| test_info.subBufferSize = gWimpyBufferSize |
| / (sizeof(cl_float) |
| * RoundUpToNextPowerOfTwo(test_info.threadCount)); |
| } |
| |
| test_info.step = (cl_uint)test_info.subBufferSize * test_info.scale; |
| if (test_info.step / test_info.subBufferSize != test_info.scale) |
| { |
| // there was overflow |
| test_info.jobCount = 1; |
| } |
| else |
| { |
| test_info.jobCount = (cl_uint)((1ULL << 32) / test_info.step); |
| } |
| |
| test_info.f = f; |
| test_info.ftz = |
| f->ftz || gForceFTZ || 0 == (CL_FP_DENORM & gFloatCapabilities); |
| |
| // cl_kernels aren't thread safe, so we make one for each vector size for |
| // every thread |
| for (i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++) |
| { |
| size_t array_size = test_info.threadCount * sizeof(cl_kernel); |
| test_info.k[i] = (cl_kernel *)malloc(array_size); |
| if (NULL == test_info.k[i]) |
| { |
| vlog_error("Error: Unable to allocate storage for kernels!\n"); |
| error = CL_OUT_OF_HOST_MEMORY; |
| goto exit; |
| } |
| memset(test_info.k[i], 0, array_size); |
| } |
| test_info.tinfo = |
| (ThreadInfo *)malloc(test_info.threadCount * sizeof(*test_info.tinfo)); |
| if (NULL == test_info.tinfo) |
| { |
| vlog_error( |
| "Error: Unable to allocate storage for thread specific data.\n"); |
| error = CL_OUT_OF_HOST_MEMORY; |
| goto exit; |
| } |
| memset(test_info.tinfo, 0, |
| test_info.threadCount * sizeof(*test_info.tinfo)); |
| for (i = 0; i < test_info.threadCount; i++) |
| { |
| cl_buffer_region region = { |
| i * test_info.subBufferSize * sizeof(cl_float), |
| test_info.subBufferSize * sizeof(cl_float) |
| }; |
| test_info.tinfo[i].inBuf = |
| clCreateSubBuffer(gInBuffer, CL_MEM_READ_ONLY, |
| CL_BUFFER_CREATE_TYPE_REGION, ®ion, &error); |
| if (error || NULL == test_info.tinfo[i].inBuf) |
| { |
| vlog_error("Error: Unable to create sub-buffer of gInBuffer for " |
| "region {%zd, %zd}\n", |
| region.origin, region.size); |
| goto exit; |
| } |
| test_info.tinfo[i].inBuf2 = |
| clCreateSubBuffer(gInBuffer2, CL_MEM_READ_ONLY, |
| CL_BUFFER_CREATE_TYPE_REGION, ®ion, &error); |
| if (error || NULL == test_info.tinfo[i].inBuf2) |
| { |
| vlog_error("Error: Unable to create sub-buffer of gInBuffer2 for " |
| "region {%zd, %zd}\n", |
| region.origin, region.size); |
| goto exit; |
| } |
| |
| for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++) |
| { |
| test_info.tinfo[i].outBuf[j] = clCreateSubBuffer( |
| gOutBuffer[j], CL_MEM_WRITE_ONLY, CL_BUFFER_CREATE_TYPE_REGION, |
| ®ion, &error); |
| if (error || NULL == test_info.tinfo[i].outBuf[j]) |
| { |
| vlog_error("Error: Unable to create sub-buffer of " |
| "gOutBuffer[%d] for region {%zd, %zd}\n", |
| (int)j, region.origin, region.size); |
| goto exit; |
| } |
| } |
| test_info.tinfo[i].tQueue = |
| clCreateCommandQueue(gContext, gDevice, 0, &error); |
| if (NULL == test_info.tinfo[i].tQueue || error) |
| { |
| vlog_error("clCreateCommandQueue failed. (%d)\n", error); |
| goto exit; |
| } |
| |
| test_info.tinfo[i].d = init_genrand(genrand_int32(d)); |
| } |
| |
| // Init the kernels |
| { |
| BuildKernelInfo build_info = { |
| gMinVectorSizeIndex, test_info.threadCount, test_info.k, |
| test_info.programs, f->nameInCode, relaxedMode |
| }; |
| if ((error = ThreadPool_Do(BuildKernelFn, |
| gMaxVectorSizeIndex - gMinVectorSizeIndex, |
| &build_info))) |
| goto exit; |
| } |
| |
| // Run the kernels |
| if (!gSkipCorrectnessTesting) |
| { |
| error = ThreadPool_Do(Test, test_info.jobCount, &test_info); |
| |
| if (error) goto exit; |
| |
| if (gWimpyMode) |
| vlog("Wimp pass"); |
| else |
| vlog("passed"); |
| } |
| |
| vlog("\n"); |
| |
| exit: |
| // Release |
| for (i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++) |
| { |
| clReleaseProgram(test_info.programs[i]); |
| if (test_info.k[i]) |
| { |
| for (j = 0; j < test_info.threadCount; j++) |
| clReleaseKernel(test_info.k[i][j]); |
| |
| free(test_info.k[i]); |
| } |
| } |
| if (test_info.tinfo) |
| { |
| for (i = 0; i < test_info.threadCount; i++) |
| { |
| free_mtdata(test_info.tinfo[i].d); |
| clReleaseMemObject(test_info.tinfo[i].inBuf); |
| clReleaseMemObject(test_info.tinfo[i].inBuf2); |
| for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++) |
| clReleaseMemObject(test_info.tinfo[i].outBuf[j]); |
| clReleaseCommandQueue(test_info.tinfo[i].tQueue); |
| } |
| |
| free(test_info.tinfo); |
| } |
| |
| return error; |
| } |
| |
| static cl_int Test(cl_uint job_id, cl_uint thread_id, void *data) |
| { |
| const TestInfo *job = (const TestInfo *)data; |
| size_t buffer_elements = job->subBufferSize; |
| size_t buffer_size = buffer_elements * sizeof(cl_float); |
| cl_uint base = job_id * (cl_uint)job->step; |
| ThreadInfo *tinfo = job->tinfo + thread_id; |
| fptr func = job->f->func; |
| int ftz = job->ftz; |
| MTdata d = tinfo->d; |
| cl_uint j, k; |
| cl_int error; |
| const char *name = job->f->name; |
| cl_int *t = 0; |
| cl_int *r = 0; |
| cl_float *s = 0; |
| cl_float *s2 = 0; |
| |
| // start the map of the output arrays |
| cl_event e[VECTOR_SIZE_COUNT]; |
| cl_int *out[VECTOR_SIZE_COUNT]; |
| for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++) |
| { |
| out[j] = (cl_int *)clEnqueueMapBuffer( |
| tinfo->tQueue, tinfo->outBuf[j], CL_FALSE, CL_MAP_WRITE, 0, |
| buffer_size, 0, NULL, e + j, &error); |
| if (error || NULL == out[j]) |
| { |
| vlog_error("Error: clEnqueueMapBuffer %d failed! err: %d\n", j, |
| error); |
| return error; |
| } |
| } |
| |
| // Get that moving |
| if ((error = clFlush(tinfo->tQueue))) vlog("clFlush failed\n"); |
| |
| // Init input array |
| cl_uint *p = (cl_uint *)gIn + thread_id * buffer_elements; |
| cl_uint *p2 = (cl_uint *)gIn2 + thread_id * buffer_elements; |
| j = 0; |
| |
| int totalSpecialValueCount = specialValuesCount * specialValuesCount; |
| int indx = (totalSpecialValueCount - 1) / buffer_elements; |
| |
| if (job_id <= (cl_uint)indx) |
| { // test edge cases |
| float *fp = (float *)p; |
| float *fp2 = (float *)p2; |
| uint32_t x, y; |
| |
| x = (job_id * buffer_elements) % specialValuesCount; |
| y = (job_id * buffer_elements) / specialValuesCount; |
| |
| for (; j < buffer_elements; j++) |
| { |
| fp[j] = specialValues[x]; |
| fp2[j] = specialValues[y]; |
| ++x; |
| if (x >= specialValuesCount) |
| { |
| x = 0; |
| y++; |
| if (y >= specialValuesCount) break; |
| } |
| } |
| } |
| |
| // Init any remaining values. |
| for (; j < buffer_elements; j++) |
| { |
| p[j] = genrand_int32(d); |
| p2[j] = genrand_int32(d); |
| } |
| |
| if ((error = clEnqueueWriteBuffer(tinfo->tQueue, tinfo->inBuf, CL_FALSE, 0, |
| buffer_size, p, 0, NULL, NULL))) |
| { |
| vlog_error("Error: clEnqueueWriteBuffer failed! err: %d\n", error); |
| goto exit; |
| } |
| |
| if ((error = clEnqueueWriteBuffer(tinfo->tQueue, tinfo->inBuf2, CL_FALSE, 0, |
| buffer_size, p2, 0, NULL, NULL))) |
| { |
| vlog_error("Error: clEnqueueWriteBuffer failed! err: %d\n", error); |
| goto exit; |
| } |
| |
| for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++) |
| { |
| // Wait for the map to finish |
| if ((error = clWaitForEvents(1, e + j))) |
| { |
| vlog_error("Error: clWaitForEvents failed! err: %d\n", error); |
| goto exit; |
| } |
| if ((error = clReleaseEvent(e[j]))) |
| { |
| vlog_error("Error: clReleaseEvent failed! err: %d\n", error); |
| goto exit; |
| } |
| |
| // Fill the result buffer with garbage, so that old results don't carry |
| // over |
| uint32_t pattern = 0xffffdead; |
| memset_pattern4(out[j], &pattern, buffer_size); |
| if ((error = clEnqueueUnmapMemObject(tinfo->tQueue, tinfo->outBuf[j], |
| out[j], 0, NULL, NULL))) |
| { |
| vlog_error("Error: clEnqueueMapBuffer failed! err: %d\n", error); |
| goto exit; |
| } |
| |
| // run the kernel |
| size_t vectorCount = |
| (buffer_elements + sizeValues[j] - 1) / sizeValues[j]; |
| cl_kernel kernel = job->k[j][thread_id]; // each worker thread has its |
| // own copy of the cl_kernel |
| cl_program program = job->programs[j]; |
| |
| if ((error = clSetKernelArg(kernel, 0, sizeof(tinfo->outBuf[j]), |
| &tinfo->outBuf[j]))) |
| { |
| LogBuildError(program); |
| return error; |
| } |
| if ((error = clSetKernelArg(kernel, 1, sizeof(tinfo->inBuf), |
| &tinfo->inBuf))) |
| { |
| LogBuildError(program); |
| return error; |
| } |
| if ((error = clSetKernelArg(kernel, 2, sizeof(tinfo->inBuf2), |
| &tinfo->inBuf2))) |
| { |
| LogBuildError(program); |
| return error; |
| } |
| |
| if ((error = clEnqueueNDRangeKernel(tinfo->tQueue, kernel, 1, NULL, |
| &vectorCount, NULL, 0, NULL, NULL))) |
| { |
| vlog_error("FAILED -- could not execute kernel\n"); |
| goto exit; |
| } |
| } |
| |
| // Get that moving |
| if ((error = clFlush(tinfo->tQueue))) vlog("clFlush 2 failed\n"); |
| |
| if (gSkipCorrectnessTesting) return CL_SUCCESS; |
| |
| // Calculate the correctly rounded reference result |
| r = (cl_int *)gOut_Ref + thread_id * buffer_elements; |
| s = (float *)gIn + thread_id * buffer_elements; |
| s2 = (float *)gIn2 + thread_id * buffer_elements; |
| for (j = 0; j < buffer_elements; j++) r[j] = func.i_ff(s[j], s2[j]); |
| |
| |
| // Read the data back -- no need to wait for the first N-1 buffers. This is |
| // an in order queue. |
| for (j = gMinVectorSizeIndex; j + 1 < gMaxVectorSizeIndex; j++) |
| { |
| out[j] = (cl_int *)clEnqueueMapBuffer( |
| tinfo->tQueue, tinfo->outBuf[j], CL_FALSE, CL_MAP_READ, 0, |
| buffer_size, 0, NULL, NULL, &error); |
| if (error || NULL == out[j]) |
| { |
| vlog_error("Error: clEnqueueMapBuffer %d failed! err: %d\n", j, |
| error); |
| goto exit; |
| } |
| } |
| |
| // Wait for the last buffer |
| out[j] = (cl_int *)clEnqueueMapBuffer(tinfo->tQueue, tinfo->outBuf[j], |
| CL_TRUE, CL_MAP_READ, 0, buffer_size, |
| 0, NULL, NULL, &error); |
| if (error || NULL == out[j]) |
| { |
| vlog_error("Error: clEnqueueMapBuffer %d failed! err: %d\n", j, error); |
| goto exit; |
| } |
| |
| // Verify data |
| t = (cl_int *)r; |
| for (j = 0; j < buffer_elements; j++) |
| { |
| cl_int *q = out[0]; |
| |
| if (gMinVectorSizeIndex == 0 && t[j] != q[j]) |
| { |
| if (ftz) |
| { |
| if (IsFloatSubnormal(s[j])) |
| { |
| if (IsFloatSubnormal(s2[j])) |
| { |
| int correct = func.i_ff(0.0f, 0.0f); |
| int correct2 = func.i_ff(0.0f, -0.0f); |
| int correct3 = func.i_ff(-0.0f, 0.0f); |
| int correct4 = func.i_ff(-0.0f, -0.0f); |
| |
| if (correct == q[j] || correct2 == q[j] |
| || correct3 == q[j] || correct4 == q[j]) |
| continue; |
| } |
| else |
| { |
| int correct = func.i_ff(0.0f, s2[j]); |
| int correct2 = func.i_ff(-0.0f, s2[j]); |
| if (correct == q[j] || correct2 == q[j]) continue; |
| } |
| } |
| else if (IsFloatSubnormal(s2[j])) |
| { |
| int correct = func.i_ff(s[j], 0.0f); |
| int correct2 = func.i_ff(s[j], -0.0f); |
| if (correct == q[j] || correct2 == q[j]) continue; |
| } |
| } |
| |
| uint32_t err = t[j] - q[j]; |
| if (q[j] > t[j]) err = q[j] - t[j]; |
| vlog_error("\nERROR: %s: %d ulp error at {%a, %a}: *0x%8.8x vs. " |
| "0x%8.8x (index: %d)\n", |
| name, err, ((float *)s)[j], ((float *)s2)[j], t[j], q[j], |
| j); |
| error = -1; |
| goto exit; |
| } |
| |
| for (k = MAX(1, gMinVectorSizeIndex); k < gMaxVectorSizeIndex; k++) |
| { |
| q = out[k]; |
| // If we aren't getting the correctly rounded result |
| if (-t[j] != q[j]) |
| { |
| if (ftz) |
| { |
| if (IsFloatSubnormal(s[j])) |
| { |
| if (IsFloatSubnormal(s2[j])) |
| { |
| int correct = -func.i_ff(0.0f, 0.0f); |
| int correct2 = -func.i_ff(0.0f, -0.0f); |
| int correct3 = -func.i_ff(-0.0f, 0.0f); |
| int correct4 = -func.i_ff(-0.0f, -0.0f); |
| |
| if (correct == q[j] || correct2 == q[j] |
| || correct3 == q[j] || correct4 == q[j]) |
| continue; |
| } |
| else |
| { |
| int correct = -func.i_ff(0.0f, s2[j]); |
| int correct2 = -func.i_ff(-0.0f, s2[j]); |
| if (correct == q[j] || correct2 == q[j]) continue; |
| } |
| } |
| else if (IsFloatSubnormal(s2[j])) |
| { |
| int correct = -func.i_ff(s[j], 0.0f); |
| int correct2 = -func.i_ff(s[j], -0.0f); |
| if (correct == q[j] || correct2 == q[j]) continue; |
| } |
| } |
| cl_uint 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, %a}: *0x%8.8x " |
| "vs. 0x%8.8x (index: %d)\n", |
| name, sizeNames[k], err, ((float *)s)[j], |
| ((float *)s2)[j], -t[j], q[j], j); |
| error = -1; |
| goto exit; |
| } |
| } |
| } |
| |
| for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++) |
| { |
| if ((error = clEnqueueUnmapMemObject(tinfo->tQueue, tinfo->outBuf[j], |
| out[j], 0, NULL, NULL))) |
| { |
| vlog_error("Error: clEnqueueUnmapMemObject %d failed 2! err: %d\n", |
| j, error); |
| return error; |
| } |
| } |
| |
| if ((error = clFlush(tinfo->tQueue))) vlog("clFlush 3 failed\n"); |
| |
| |
| if (0 == (base & 0x0fffffff)) |
| { |
| if (gVerboseBruteForce) |
| { |
| vlog("base:%14u step:%10u scale:%10u buf_elements:%10zd " |
| "ThreadCount:%2u\n", |
| base, job->step, job->scale, buffer_elements, |
| job->threadCount); |
| } |
| else |
| { |
| vlog("."); |
| } |
| fflush(stdout); |
| } |
| |
| exit: |
| return error; |
| } |