| // |
| // Copyright (c) 2023 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 <stdio.h> |
| #include <string.h> |
| #include <sys/types.h> |
| #include <sys/stat.h> |
| |
| #include "harness/stringHelpers.h" |
| |
| #include "procs.h" |
| #include "test_base.h" |
| |
| const char *step_fn_code_pattern = "%s\n" /* optional pragma */ |
| "__kernel void test_fn(__global %s%s *edge, " |
| "__global %s%s *x, __global %s%s *dst)\n" |
| "{\n" |
| " int tid = get_global_id(0);\n" |
| " dst[tid] = step(edge[tid], x[tid]);\n" |
| "}\n"; |
| |
| const char *step_fn_code_pattern_v3 = |
| "%s\n" /* optional pragma */ |
| "__kernel void test_fn(__global %s *edge, __global %s *x, __global %s " |
| "*dst)\n" |
| "{\n" |
| " int tid = get_global_id(0);\n" |
| " vstore3(step(vload3(tid,edge), vload3(tid,x)), tid, dst);\n" |
| "}\n"; |
| |
| const char *step_fn_code_pattern_v3_scalar = |
| "%s\n" /* optional pragma */ |
| "__kernel void test_fn(__global %s *edge, __global %s *x, __global %s " |
| "*dst)\n" |
| "{\n" |
| " int tid = get_global_id(0);\n" |
| " vstore3(step(edge[tid], vload3(tid,x)), tid, dst);\n" |
| "}\n"; |
| |
| namespace { |
| |
| template <typename T> |
| int verify_step(const T *const inptrA, const T *const inptrB, |
| const T *const outptr, const int n, const int veclen, |
| const bool vecParam) |
| { |
| T r; |
| |
| if (vecParam) |
| { |
| for (int i = 0; i < n * veclen; i++) |
| { |
| r = (conv_to_dbl(inptrB[i]) < conv_to_dbl(inptrA[i])) ? 0.0 : 1.0; |
| if (r != conv_to_dbl(outptr[i])) return -1; |
| } |
| } |
| else |
| { |
| for (int i = 0; i < n;) |
| { |
| int ii = i / veclen; |
| for (int j = 0; j < veclen && i < n; ++j, ++i) |
| { |
| r = (conv_to_dbl(inptrB[i]) < conv_to_dbl(inptrA[ii])) ? 0.0f |
| : 1.0f; |
| if (r != conv_to_dbl(outptr[i])) |
| { |
| if (std::is_same<T, half>::value) |
| log_error( |
| "Failure @ {%d, element %d}: step(%a,%a) -> *%a " |
| "vs %a\n", |
| ii, j, conv_to_flt(inptrA[ii]), |
| conv_to_flt(inptrB[i]), r, conv_to_flt(outptr[i])); |
| else |
| log_error( |
| "Failure @ {%d, element %d}: step(%a,%a) -> *%a " |
| "vs %a\n", |
| ii, j, inptrA[ii], inptrB[i], r, outptr[i]); |
| return -1; |
| } |
| } |
| } |
| } |
| return 0; |
| } |
| |
| } |
| |
| template <typename T> |
| int test_step_fn(cl_device_id device, cl_context context, |
| cl_command_queue queue, int n_elems, bool vecParam) |
| { |
| clMemWrapper streams[3]; |
| std::vector<T> input_ptr[2], output_ptr; |
| |
| std::vector<clProgramWrapper> programs; |
| std::vector<clKernelWrapper> kernels; |
| |
| int err, i; |
| MTdataHolder d = MTdataHolder(gRandomSeed); |
| |
| assert(BaseFunctionTest::type2name.find(sizeof(T)) |
| != BaseFunctionTest::type2name.end()); |
| auto tname = BaseFunctionTest::type2name[sizeof(T)]; |
| int num_elements = n_elems * (1 << (kTotalVecCount - 1)); |
| |
| programs.resize(kTotalVecCount); |
| kernels.resize(kTotalVecCount); |
| |
| for (i = 0; i < 2; i++) input_ptr[i].resize(num_elements); |
| output_ptr.resize(num_elements); |
| |
| for (i = 0; i < 3; i++) |
| { |
| streams[i] = clCreateBuffer(context, CL_MEM_READ_WRITE, |
| sizeof(T) * num_elements, NULL, &err); |
| test_error(err, "clCreateBuffer failed"); |
| } |
| |
| std::string pragma_str; |
| if (std::is_same<T, float>::value) |
| { |
| for (i = 0; i < num_elements; i++) |
| { |
| input_ptr[0][i] = get_random_float(-0x40000000, 0x40000000, d); |
| input_ptr[1][i] = get_random_float(-0x40000000, 0x40000000, d); |
| } |
| } |
| else if (std::is_same<T, double>::value) |
| { |
| pragma_str = "#pragma OPENCL EXTENSION cl_khr_fp64 : enable\n"; |
| for (i = 0; i < num_elements; i++) |
| { |
| input_ptr[0][i] = get_random_double(-0x40000000, 0x40000000, d); |
| input_ptr[1][i] = get_random_double(-0x40000000, 0x40000000, d); |
| } |
| } |
| else if (std::is_same<T, half>::value) |
| { |
| const float fval = CL_HALF_MAX; |
| pragma_str = "#pragma OPENCL EXTENSION cl_khr_fp16 : enable\n"; |
| for (i = 0; i < num_elements; i++) |
| { |
| input_ptr[0][i] = conv_to_half(get_random_float(-fval, fval, d)); |
| input_ptr[1][i] = conv_to_half(get_random_float(-fval, fval, d)); |
| } |
| } |
| |
| for (i = 0; i < 2; i++) |
| { |
| err = clEnqueueWriteBuffer(queue, streams[i], CL_TRUE, 0, |
| sizeof(T) * num_elements, |
| &input_ptr[i].front(), 0, NULL, NULL); |
| test_error(err, "Unable to write input buffer"); |
| } |
| |
| char vecSizeNames[][3] = { "", "2", "4", "8", "16", "3" }; |
| |
| for (i = 0; i < kTotalVecCount; i++) |
| { |
| std::string kernelSource; |
| if (i >= kVectorSizeCount) |
| { |
| if (vecParam) |
| { |
| std::string str = step_fn_code_pattern_v3; |
| kernelSource = |
| str_sprintf(str, pragma_str.c_str(), tname.c_str(), |
| tname.c_str(), tname.c_str()); |
| } |
| else |
| { |
| std::string str = step_fn_code_pattern_v3_scalar; |
| kernelSource = |
| str_sprintf(str, pragma_str.c_str(), tname.c_str(), |
| tname.c_str(), tname.c_str()); |
| } |
| } |
| else |
| { |
| // regular path |
| std::string str = step_fn_code_pattern; |
| kernelSource = |
| str_sprintf(str, pragma_str.c_str(), tname.c_str(), |
| vecParam ? vecSizeNames[i] : "", tname.c_str(), |
| vecSizeNames[i], tname.c_str(), vecSizeNames[i]); |
| } |
| const char *programPtr = kernelSource.c_str(); |
| err = |
| create_single_kernel_helper(context, &programs[i], &kernels[i], 1, |
| (const char **)&programPtr, "test_fn"); |
| test_error(err, "Unable to create kernel"); |
| |
| for (int j = 0; j < 3; j++) |
| { |
| err = |
| clSetKernelArg(kernels[i], j, sizeof(streams[j]), &streams[j]); |
| test_error(err, "Unable to set kernel argument"); |
| } |
| |
| size_t threads = (size_t)n_elems; |
| |
| err = clEnqueueNDRangeKernel(queue, kernels[i], 1, NULL, &threads, NULL, |
| 0, NULL, NULL); |
| test_error(err, "Unable to execute kernel"); |
| |
| err = clEnqueueReadBuffer(queue, streams[2], true, 0, |
| sizeof(T) * num_elements, &output_ptr[0], 0, |
| NULL, NULL); |
| test_error(err, "Unable to read results"); |
| |
| err = verify_step(&input_ptr[0].front(), &input_ptr[1].front(), |
| &output_ptr.front(), n_elems, g_arrVecSizes[i], |
| vecParam); |
| if (err) |
| { |
| log_error("step %s%d%s test failed\n", tname.c_str(), |
| ((g_arrVecSizes[i])), |
| vecParam ? "" : std::string(", " + tname).c_str()); |
| err = -1; |
| } |
| else |
| { |
| log_info("step %s%d%s test passed\n", tname.c_str(), |
| ((g_arrVecSizes[i])), |
| vecParam ? "" : std::string(", " + tname).c_str()); |
| err = 0; |
| } |
| |
| if (err) |
| break; |
| } |
| |
| return err; |
| } |
| |
| cl_int StepTest::Run() |
| { |
| cl_int error = CL_SUCCESS; |
| if (is_extension_available(device, "cl_khr_fp16")) |
| { |
| error = test_step_fn<half>(device, context, queue, num_elems, vecParam); |
| test_error(error, "StepTest::Run<cl_half> failed"); |
| } |
| |
| error = test_step_fn<float>(device, context, queue, num_elems, vecParam); |
| test_error(error, "StepTest::Run<float> failed"); |
| |
| if (is_extension_available(device, "cl_khr_fp64")) |
| { |
| error = |
| test_step_fn<double>(device, context, queue, num_elems, vecParam); |
| test_error(error, "StepTest::Run<double> failed"); |
| } |
| |
| return error; |
| } |
| |
| int test_step(cl_device_id device, cl_context context, cl_command_queue queue, |
| int n_elems) |
| { |
| return MakeAndRunTest<StepTest>(device, context, queue, n_elems, "step", |
| true); |
| } |
| |
| int test_stepf(cl_device_id device, cl_context context, cl_command_queue queue, |
| int n_elems) |
| { |
| return MakeAndRunTest<StepTest>(device, context, queue, n_elems, "step", |
| false); |
| } |
