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//
// 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 <cinttypes>
#include <cstring>
namespace {
cl_int BuildKernelFn(cl_uint job_id, cl_uint thread_id UNUSED, void *p)
{
BuildKernelInfo &info = *(BuildKernelInfo *)p;
auto generator = [](const std::string &kernel_name, const char *builtin,
cl_uint vector_size_index) {
return GetUnaryKernel(kernel_name, builtin, ParameterType::Int,
ParameterType::Double, vector_size_index);
};
return BuildKernels(info, job_id, generator);
}
} // anonymous namespace
int TestFunc_Int_Double(const Func *f, MTdata d, bool relaxedMode)
{
int error;
Programs programs;
const unsigned thread_id = 0; // Test is currently not multithreaded.
KernelMatrix kernels;
int ftz = f->ftz || gForceFTZ;
uint64_t step = getTestStep(sizeof(cl_double), BUFFER_SIZE);
int scale =
(int)((1ULL << 32) / (16 * BUFFER_SIZE / sizeof(cl_double)) + 1);
logFunctionInfo(f->name, sizeof(cl_double), relaxedMode);
// This test is not using ThreadPool so we need to disable FTZ here
// for reference computations
FPU_mode_type oldMode;
DisableFTZ(&oldMode);
Force64BitFPUPrecision();
// Init the kernels
{
BuildKernelInfo build_info{ 1, 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
double *p = (double *)gIn;
if (gWimpyMode)
{
for (size_t j = 0; j < BUFFER_SIZE / sizeof(cl_double); j++)
p[j] = DoubleFromUInt32((uint32_t)i + j * scale);
}
else
{
for (size_t j = 0; j < BUFFER_SIZE / sizeof(cl_double); j++)
p[j] = DoubleFromUInt32((uint32_t)i + j);
}
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;
}
// Write garbage into output arrays
for (auto j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
{
uint32_t pattern = 0xffffdead;
if (gHostFill)
{
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;
}
}
else
{
if ((error = clEnqueueFillBuffer(gQueue, gOutBuffer[j],
&pattern, sizeof(pattern), 0,
BUFFER_SIZE, 0, NULL, NULL)))
{
vlog_error("Error: clEnqueueFillBuffer failed! err: %d\n",
error);
return error;
}
}
}
// Run the kernels
for (auto j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
{
size_t vectorSize = sizeValues[j] * sizeof(cl_double);
size_t localCount = (BUFFER_SIZE + vectorSize - 1)
/ vectorSize; // BUFFER_SIZE / vectorSize rounded up
if ((error = clSetKernelArg(kernels[j][thread_id], 0,
sizeof(gOutBuffer[j]), &gOutBuffer[j])))
{
LogBuildError(programs[j]);
goto exit;
}
if ((error = clSetKernelArg(kernels[j][thread_id], 1,
sizeof(gInBuffer), &gInBuffer)))
{
LogBuildError(programs[j]);
goto exit;
}
if ((error = clEnqueueNDRangeKernel(gQueue, kernels[j][thread_id],
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
int *r = (int *)gOut_Ref;
double *s = (double *)gIn;
for (size_t j = 0; j < BUFFER_SIZE / sizeof(cl_double); j++)
r[j] = f->dfunc.i_f(s[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
uint32_t *t = (uint32_t *)gOut_Ref;
for (size_t j = 0; j < BUFFER_SIZE / sizeof(cl_double); j++)
{
for (auto k = gMinVectorSizeIndex; k < gMaxVectorSizeIndex; k++)
{
uint32_t *q = (uint32_t *)(gOut[k]);
// If we aren't getting the correctly rounded result
if (t[j] != q[j])
{
if ((ftz || relaxedMode) && IsDoubleSubnormal(s[j]))
{
unsigned int correct0 = f->dfunc.i_f(0.0);
unsigned int correct1 = f->dfunc.i_f(-0.0);
if (q[j] == correct0 || q[j] == correct1) continue;
}
uint32_t err = t[j] - q[j];
if (q[j] > t[j]) err = q[j] - t[j];
vlog_error(
"\nERROR: %sD%s: %d ulp error at %.13la: *%d vs. %d\n",
f->name, sizeNames[k], err, ((double *)gIn)[j], t[j],
q[j]);
error = -1;
goto exit;
}
}
}
if (0 == (i & 0x0fffffff))
{
if (gVerboseBruteForce)
{
vlog("base:%14" PRIu64 " step:%10" PRIu64
" bufferSize:%10d \n",
i, step, BUFFER_SIZE);
}
else
{
vlog(".");
}
fflush(stdout);
}
}
if (!gSkipCorrectnessTesting)
{
if (gWimpyMode)
vlog("Wimp pass");
else
vlog("passed");
}
vlog("\n");
exit:
RestoreFPState(&oldMode);
return error;
}
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