mirror of
https://github.com/KhronosGroup/OpenCL-CTS.git
synced 2026-03-19 06:09:01 +00:00
32688a47b3
* Unified common functions tests due to preparation for adding cl_khr_fp16 support * Renamed base structure, few cosmetic corrections * Added corrections due to code review * Removed comment separators * Added review related corrections
296 lines
9.5 KiB
C++
296 lines
9.5 KiB
C++
//
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// Copyright (c) 2023 The Khronos Group Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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#include <stdio.h>
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#include <string.h>
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#include <sys/types.h>
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#include <sys/stat.h>
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#include "procs.h"
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#include "test_base.h"
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const char *smoothstep_fn_code_pattern =
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"%s\n" /* optional pragma */
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"__kernel void test_fn(__global %s%s *e0, __global %s%s *e1, __global %s%s "
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"*x, __global %s%s *dst)\n"
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"{\n"
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" int tid = get_global_id(0);\n"
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"\n"
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" dst[tid] = smoothstep(e0[tid], e1[tid], x[tid]);\n"
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"}\n";
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const char *smoothstep_fn_code_pattern_v3 =
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"%s\n" /* optional pragma */
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"__kernel void test_fn(__global %s *e0, __global %s *e1, __global %s *x, "
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"__global %s *dst)\n"
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"{\n"
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" int tid = get_global_id(0);\n"
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"\n"
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" vstore3(smoothstep(vload3(tid,e0), vload3(tid,e1), vload3(tid,x)), "
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"tid, dst);\n"
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"}\n";
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const char *smoothstep_fn_code_pattern_v3_scalar =
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"%s\n" /* optional pragma */
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"__kernel void test_fn(__global %s *e0, __global %s *e1, __global %s *x, "
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"__global %s *dst)\n"
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"{\n"
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" int tid = get_global_id(0);\n"
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"\n"
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" vstore3(smoothstep(e0[tid], e1[tid], vload3(tid,x)), tid, dst);\n"
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"}\n";
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#define MAX_ERR (1e-5f)
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namespace {
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template <typename T>
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int verify_smoothstep(const T *const edge0, const T *const edge1,
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const T *const x, const T *const outptr, const int n,
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const int veclen, const bool vecParam)
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{
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T r, t;
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float delta = 0;
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if (vecParam)
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{
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for (int i = 0; i < n * veclen; i++)
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{
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t = (x[i] - edge0[i]) / (edge1[i] - edge0[i]);
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if (t < 0.0f)
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t = 0.0f;
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else if (t > 1.0f)
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t = 1.0f;
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r = t * t * (3.0f - 2.0f * t);
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delta = (float)fabs(r - outptr[i]);
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if (delta > MAX_ERR)
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{
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log_error("%d) verification error: smoothstep(%a, %a, %a) = "
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"*%a vs. %a\n",
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i, x[i], edge0[i], edge1[i], r, outptr[i]);
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return -1;
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}
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}
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}
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else
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{
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for (int i = 0; i < n; ++i)
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{
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int ii = i / veclen;
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int vi = i * veclen;
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for (int j = 0; j < veclen; ++j, ++vi)
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{
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t = (x[vi] - edge0[i]) / (edge1[i] - edge0[i]);
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if (t < 0.0f)
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t = 0.0f;
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else if (t > 1.0f)
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t = 1.0f;
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r = t * t * (3.0f - 2.0f * t);
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delta = (float)fabs(r - outptr[vi]);
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if (delta > MAX_ERR)
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{
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log_error("{%d, element %d}) verification error: "
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"smoothstep(%a, %a, %a) = *%a vs. %a\n",
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ii, j, x[vi], edge0[i], edge1[i], r, outptr[vi]);
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return -1;
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}
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}
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}
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}
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return 0;
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}
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}
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template <typename T>
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int test_smoothstep_fn(cl_device_id device, cl_context context,
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cl_command_queue queue, int n_elems, bool vecParam)
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{
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clMemWrapper streams[4];
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std::vector<T> input_ptr[3], output_ptr;
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std::vector<clProgramWrapper> programs;
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std::vector<clKernelWrapper> kernels;
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int err, i;
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MTdataHolder d = MTdataHolder(gRandomSeed);
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assert(BaseFunctionTest::type2name.find(sizeof(T))
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!= BaseFunctionTest::type2name.end());
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auto tname = BaseFunctionTest::type2name[sizeof(T)];
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programs.resize(kTotalVecCount);
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kernels.resize(kTotalVecCount);
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int num_elements = n_elems * (1 << (kTotalVecCount - 1));
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for (i = 0; i < 3; i++) input_ptr[i].resize(num_elements);
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output_ptr.resize(num_elements);
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for (i = 0; i < 4; i++)
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{
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streams[i] = clCreateBuffer(context, CL_MEM_READ_WRITE,
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sizeof(T) * num_elements, NULL, &err);
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test_error(err, "clCreateBuffer failed");
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}
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std::string pragma_str;
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if (std::is_same<T, float>::value)
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{
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for (i = 0; i < num_elements; i++)
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{
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input_ptr[0][i] = get_random_float(-0x00200000, 0x00010000, d);
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input_ptr[1][i] = get_random_float(input_ptr[0][i], 0x00200000, d);
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input_ptr[2][i] = get_random_float(-0x20000000, 0x20000000, d);
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}
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}
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else if (std::is_same<T, double>::value)
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{
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pragma_str = "#pragma OPENCL EXTENSION cl_khr_fp64 : enable\n";
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for (i = 0; i < num_elements; i++)
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{
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input_ptr[0][i] = get_random_double(-0x00200000, 0x00010000, d);
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input_ptr[1][i] = get_random_double(input_ptr[0][i], 0x00200000, d);
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input_ptr[2][i] = get_random_double(-0x20000000, 0x20000000, d);
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}
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}
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for (i = 0; i < 3; i++)
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{
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err = clEnqueueWriteBuffer(queue, streams[i], CL_TRUE, 0,
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sizeof(T) * num_elements,
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&input_ptr[i].front(), 0, NULL, NULL);
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test_error(err, "Unable to write input buffer");
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}
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char vecSizeNames[][3] = { "", "2", "4", "8", "16", "3" };
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for (i = 0; i < kTotalVecCount; i++)
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{
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std::string kernelSource;
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if (i >= kVectorSizeCount)
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{
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if (vecParam)
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{
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std::string str = smoothstep_fn_code_pattern_v3;
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kernelSource =
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string_format(str, pragma_str.c_str(), tname.c_str(),
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tname.c_str(), tname.c_str(), tname.c_str());
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}
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else
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{
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std::string str = smoothstep_fn_code_pattern_v3_scalar;
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kernelSource =
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string_format(str, pragma_str.c_str(), tname.c_str(),
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tname.c_str(), tname.c_str(), tname.c_str());
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}
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}
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else
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{
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// regular path
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std::string str = smoothstep_fn_code_pattern;
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kernelSource =
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string_format(str, pragma_str.c_str(), tname.c_str(),
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vecParam ? vecSizeNames[i] : "", tname.c_str(),
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vecParam ? vecSizeNames[i] : "", tname.c_str(),
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vecSizeNames[i], tname.c_str(), vecSizeNames[i]);
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}
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const char *programPtr = kernelSource.c_str();
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err =
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create_single_kernel_helper(context, &programs[i], &kernels[i], 1,
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(const char **)&programPtr, "test_fn");
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test_error(err, "Unable to create kernel");
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for (int j = 0; j < 4; j++)
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{
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err =
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clSetKernelArg(kernels[i], j, sizeof(streams[j]), &streams[j]);
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test_error(err, "Unable to set kernel argument");
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}
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size_t threads = (size_t)n_elems;
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err = clEnqueueNDRangeKernel(queue, kernels[i], 1, NULL, &threads, NULL,
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0, NULL, NULL);
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test_error(err, "Unable to execute kernel");
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err = clEnqueueReadBuffer(queue, streams[3], true, 0,
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sizeof(T) * num_elements, &output_ptr[0], 0,
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NULL, NULL);
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test_error(err, "Unable to read results");
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if (verify_smoothstep((T *)&input_ptr[0].front(),
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(T *)&input_ptr[1].front(),
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(T *)&input_ptr[2].front(), &output_ptr[0],
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n_elems, g_arrVecSizes[i], vecParam))
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{
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log_error("smoothstep %s%d%s test failed\n", tname.c_str(),
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((g_arrVecSizes[i])),
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vecParam ? "" : std::string(", " + tname).c_str());
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err = -1;
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}
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else
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{
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log_info("smoothstep %s%d%s test passed\n", tname.c_str(),
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((g_arrVecSizes[i])),
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vecParam ? "" : std::string(", " + tname).c_str());
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err = 0;
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}
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if (err) break;
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}
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return err;
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}
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cl_int SmoothstepTest::Run()
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{
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cl_int error = CL_SUCCESS;
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error =
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test_smoothstep_fn<float>(device, context, queue, num_elems, vecParam);
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test_error(error, "SmoothstepTest::Run<float> failed");
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if (is_extension_available(device, "cl_khr_fp64"))
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{
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error = test_smoothstep_fn<double>(device, context, queue, num_elems,
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vecParam);
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test_error(error, "SmoothstepTest::Run<double> failed");
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}
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return error;
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}
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int test_smoothstep(cl_device_id device, cl_context context,
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cl_command_queue queue, int n_elems)
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{
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return MakeAndRunTest<SmoothstepTest>(device, context, queue, n_elems,
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"smoothstep", true);
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}
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int test_smoothstepf(cl_device_id device, cl_context context,
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cl_command_queue queue, int n_elems)
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{
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return MakeAndRunTest<SmoothstepTest>(device, context, queue, n_elems,
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"smoothstep", false);
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}
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