Files
OpenCL-CTS/test_conformance/math_brute_force/mad_float.cpp
Sven van Haastregt 0a5a8f90c9 Use clProgramWrapper in math_brute_force (#1451)
Simplify code by avoiding manual resource management.

This allows removing clReleaseProgram from `MakeKernels` to reduce
behavioral differences between `MakeKernels` and `MakeKernel`.

Original patch by Marco Antognini.

Signed-off-by: Marco Antognini <marco.antognini@arm.com>
Signed-off-by: Sven van Haastregt <sven.vanhaastregt@arm.com>
2022-07-28 13:33:16 +01:00

305 lines
10 KiB
C++

//
// 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 "common.h"
#include "function_list.h"
#include "test_functions.h"
#include "utility.h"
#include <cstring>
namespace {
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"
" size_t 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;\n"
" float3 f1;\n"
" float3 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);
}
struct BuildKernelInfo
{
cl_uint offset; // the first vector size to build
cl_kernel *kernels;
Programs &programs;
const char *nameInCode;
bool relaxedMode; // Whether to build with -cl-fast-relaxed-math.
};
cl_int BuildKernelFn(cl_uint job_id, cl_uint thread_id UNUSED, void *p)
{
BuildKernelInfo *info = (BuildKernelInfo *)p;
cl_uint i = info->offset + job_id;
return BuildKernel(info->nameInCode, i, info->kernels + i,
&(info->programs[i]), info->relaxedMode);
}
} // anonymous namespace
int TestFunc_mad_Float(const Func *f, MTdata d, bool relaxedMode)
{
int error;
logFunctionInfo(f->name, sizeof(cl_float), relaxedMode);
Programs programs;
cl_kernel kernels[VECTOR_SIZE_COUNT];
float maxError = 0.0f;
float maxErrorVal = 0.0f;
float maxErrorVal2 = 0.0f;
float maxErrorVal3 = 0.0f;
uint64_t step = getTestStep(sizeof(float), BUFFER_SIZE);
// Init the kernels
{
BuildKernelInfo build_info = { gMinVectorSizeIndex, kernels, programs,
f->nameInCode, relaxedMode };
if ((error = ThreadPool_Do(BuildKernelFn,
gMaxVectorSizeIndex - gMinVectorSizeIndex,
&build_info)))
return error;
}
for (uint64_t i = 0; i < (1ULL << 32); i += step)
{
// Init input array
cl_uint *p = (cl_uint *)gIn;
cl_uint *p2 = (cl_uint *)gIn2;
cl_uint *p3 = (cl_uint *)gIn3;
for (size_t j = 0; j < BUFFER_SIZE / 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,
BUFFER_SIZE, gIn, 0, NULL, NULL)))
{
vlog_error("\n*** Error %d in clEnqueueWriteBuffer ***\n", error);
return error;
}
if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer2, CL_FALSE, 0,
BUFFER_SIZE, gIn2, 0, NULL, NULL)))
{
vlog_error("\n*** Error %d in clEnqueueWriteBuffer2 ***\n", error);
return error;
}
if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer3, CL_FALSE, 0,
BUFFER_SIZE, gIn3, 0, NULL, NULL)))
{
vlog_error("\n*** Error %d in clEnqueueWriteBuffer3 ***\n", error);
return error;
}
// write garbage into output arrays
for (auto j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
{
uint32_t pattern = 0xffffdead;
memset_pattern4(gOut[j], &pattern, BUFFER_SIZE);
if ((error =
clEnqueueWriteBuffer(gQueue, gOutBuffer[j], CL_FALSE, 0,
BUFFER_SIZE, gOut[j], 0, NULL, NULL)))
{
vlog_error("\n*** Error %d in clEnqueueWriteBuffer2(%d) ***\n",
error, j);
goto exit;
}
}
// Run the kernels
for (auto j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
{
size_t vectorSize = sizeof(cl_float) * sizeValues[j];
size_t localCount = (BUFFER_SIZE + vectorSize - 1)
/ vectorSize; // BUFFER_SIZE / 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 (size_t j = 0; j < BUFFER_SIZE / sizeof(float); j++)
r[j] = (float)f->func.f_fff(s[j], s2[j], s3[j]);
// Read the data back
for (auto j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
{
if ((error =
clEnqueueReadBuffer(gQueue, gOutBuffer[j], CL_TRUE, 0,
BUFFER_SIZE, gOut[j], 0, NULL, NULL)))
{
vlog_error("ReadArray failed %d\n", error);
goto exit;
}
}
if (gSkipCorrectnessTesting) break;
// Verify data -- No verification possible.
// MAD is a random number generator.
if (0 == (i & 0x0fffffff))
{
vlog(".");
fflush(stdout);
}
}
if (!gSkipCorrectnessTesting)
{
if (gWimpyMode)
vlog("Wimp pass");
else
vlog("passed");
vlog("\t%8.2f @ {%a, %a, %a}", maxError, maxErrorVal, maxErrorVal2,
maxErrorVal3);
}
vlog("\n");
exit:
// Release
for (auto k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++)
{
clReleaseKernel(kernels[k]);
}
return error;
}