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authorNoel <noelgrandin@gmail.com>2020-11-10 10:14:12 +0200
committerNoel Grandin <noel.grandin@collabora.co.uk>2020-11-11 11:25:43 +0100
commit941f2c866a98ca7caf71a11732853da012cd25e4 (patch)
treed5879ca5a6c50c8258e62d343f4c90cf9a6127f5 /opencl
parentcd3990d1d8f212474dee1c1d989f005e4d9913a4 (diff)
convert more long -> tools::Long
found by grepping and changed by hand. Change-Id: I3c720859dba430fde3abc76c6c5cb58269efaf4b Reviewed-on: https://gerrit.libreoffice.org/c/core/+/105512 Tested-by: Jenkins Reviewed-by: Noel Grandin <noel.grandin@collabora.co.uk>
Diffstat (limited to 'opencl')
-rw-r--r--opencl/source/opencl_device.cxx10
1 files changed, 5 insertions, 5 deletions
diff --git a/opencl/source/opencl_device.cxx b/opencl/source/opencl_device.cxx
index f0f4a07fe6b1..682b92d0eb47 100644
--- a/opencl/source/opencl_device.cxx
+++ b/opencl/source/opencl_device.cxx
@@ -50,8 +50,8 @@ struct LibreOfficeDeviceEvaluationIO
std::vector<double> input2;
std::vector<double> input3;
std::vector<double> output;
- unsigned long inputSize;
- unsigned long outputSize;
+ tools::ULong inputSize;
+ tools::ULong outputSize;
};
const char* source = STRINGIFY(
@@ -126,7 +126,7 @@ void populateInput(std::unique_ptr<LibreOfficeDeviceEvaluationIO> const & testDa
double* input1 = testData->input1.data();
double* input2 = testData->input2.data();
double* input3 = testData->input3.data();
- for (unsigned long i = 0; i < testData->inputSize; i++)
+ for (tools::ULong i = 0; i < testData->inputSize; i++)
{
input0[i] = random(0, i);
input1[i] = random(0, i);
@@ -276,13 +276,13 @@ ds_status evaluateScoreForDevice(ds_device& rDevice, std::unique_ptr<LibreOffice
SAL_INFO("opencl.device", "Device: \"CPU\" (Native) evaluation...");
sal_uInt64 kernelTime = tools::Time::GetMonotonicTicks();
- unsigned long j;
+ tools::ULong j;
for (j = 0; j < testData->outputSize; j++)
{
double fAverage = 0.0f;
double fMin = DBL_MAX;
double fSoP = 0.0f;
- for (unsigned long i = 0; i < testData->inputSize; i++)
+ for (tools::ULong i = 0; i < testData->inputSize; i++)
{
fAverage += testData->input0[i];
fMin = std::min(fMin, testData->input1[i]);