mirror of
https://github.com/KhronosGroup/OpenCL-CTS.git
synced 2026-03-19 06:09:01 +00:00
Reduce difference between files (#1155)
Moves `if (!gSkipCorrectnessTesting)` in binary_i.cpp to follow structure of binary.cpp, unary.cpp, macro_unary.cpp and macro_binary.cpp. Other non-semantic changes include adding/removing new lines and updating comments. Signed-off-by: Marco Antognini <marco.antognini@arm.com>
This commit is contained in:
@@ -634,6 +634,7 @@ static int TestFunc_Float_Float_Float_common(const Func *f, MTdata d,
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vlog("\n");
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exit:
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// Release
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for (i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++)
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{
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clReleaseProgram(test_info.programs[i]);
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@@ -567,7 +567,6 @@ int TestFunc_Float_Float_Float_Operator(const Func *f, MTdata d,
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return error;
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}
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// Run the kernels
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for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
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{
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@@ -633,6 +632,7 @@ int TestFunc_Float_Float_Float_Operator(const Func *f, MTdata d,
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vlog("\n");
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exit:
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// Release
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for (i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++)
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{
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clReleaseProgram(test_info.programs[i]);
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@@ -1147,7 +1147,6 @@ exit:
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return error;
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}
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// A table of more difficult cases to get right
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static const double specialValuesDouble[] = {
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-NAN,
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@@ -1437,6 +1436,7 @@ int TestFunc_Double_Double_Double_Operator(const Func *f, MTdata d,
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vlog_error("\n*** Error %d in clEnqueueWriteBuffer ***\n", error);
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return error;
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}
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if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer2, CL_FALSE, 0,
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BUFFER_SIZE, gIn2, 0, NULL, NULL)))
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{
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@@ -1444,7 +1444,6 @@ int TestFunc_Double_Double_Double_Operator(const Func *f, MTdata d,
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return error;
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}
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// Run the kernels
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for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
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{
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@@ -513,24 +513,23 @@ int TestFunc_Float_Float_Int(const Func *f, MTdata d, bool relaxedMode)
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}
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// Run the kernels
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error = ThreadPool_Do(TestFloat, test_info.jobCount, &test_info);
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// Accumulate the arithmetic errors
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for (i = 0; i < test_info.threadCount; i++)
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{
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if (test_info.tinfo[i].maxError > maxError)
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{
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maxError = test_info.tinfo[i].maxError;
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maxErrorVal = test_info.tinfo[i].maxErrorValue;
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maxErrorVal2 = test_info.tinfo[i].maxErrorValue2;
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}
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}
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if (error) goto exit;
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if (!gSkipCorrectnessTesting)
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{
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error = ThreadPool_Do(TestFloat, test_info.jobCount, &test_info);
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// Accumulate the arithmetic errors
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for (i = 0; i < test_info.threadCount; i++)
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{
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if (test_info.tinfo[i].maxError > maxError)
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{
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maxError = test_info.tinfo[i].maxError;
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maxErrorVal = test_info.tinfo[i].maxErrorValue;
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maxErrorVal2 = test_info.tinfo[i].maxErrorValue2;
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}
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}
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if (error) goto exit;
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if (gWimpyMode)
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vlog("Wimp pass");
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else
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@@ -562,7 +561,6 @@ int TestFunc_Float_Float_Int(const Func *f, MTdata d, bool relaxedMode)
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return error;
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}
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// Run the kernels
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for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
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{
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@@ -628,6 +626,7 @@ int TestFunc_Float_Float_Int(const Func *f, MTdata d, bool relaxedMode)
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vlog("\n");
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exit:
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// Release
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for (i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++)
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{
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clReleaseProgram(test_info.programs[i]);
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@@ -1205,24 +1204,22 @@ int TestFunc_Double_Double_Int(const Func *f, MTdata d, bool relaxedMode)
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// Run the kernels
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if (!gSkipCorrectnessTesting)
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{
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error = ThreadPool_Do(TestDouble, test_info.jobCount, &test_info);
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// Accumulate the arithmetic errors
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for (i = 0; i < test_info.threadCount; i++)
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{
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if (test_info.tinfo[i].maxError > maxError)
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// Accumulate the arithmetic errors
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for (i = 0; i < test_info.threadCount; i++)
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{
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maxError = test_info.tinfo[i].maxError;
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maxErrorVal = test_info.tinfo[i].maxErrorValue;
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maxErrorVal2 = test_info.tinfo[i].maxErrorValue2;
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if (test_info.tinfo[i].maxError > maxError)
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{
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maxError = test_info.tinfo[i].maxError;
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maxErrorVal = test_info.tinfo[i].maxErrorValue;
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maxErrorVal2 = test_info.tinfo[i].maxErrorValue2;
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}
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}
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}
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if (error) goto exit;
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if (error) goto exit;
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if (!gSkipCorrectnessTesting)
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{
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if (gWimpyMode)
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vlog("Wimp pass");
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else
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@@ -526,7 +526,6 @@ int TestMacro_Int_Float_Float(const Func *f, MTdata d, bool relaxedMode)
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return error;
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}
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// Run the kernels
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for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
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{
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@@ -590,6 +589,7 @@ int TestMacro_Int_Float_Float(const Func *f, MTdata d, bool relaxedMode)
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vlog("\n");
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exit:
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// Release
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for (i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++)
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{
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clReleaseProgram(test_info.programs[i]);
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@@ -934,7 +934,6 @@ exit:
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return error;
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}
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// A table of more difficult cases to get right
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static const double specialValuesDouble[] = {
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-NAN,
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@@ -1207,6 +1206,7 @@ int TestMacro_Int_Double_Double(const Func *f, MTdata d, bool relaxedMode)
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vlog_error("\n*** Error %d in clEnqueueWriteBuffer ***\n", error);
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return error;
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}
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if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer2, CL_FALSE, 0,
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BUFFER_SIZE, gIn2, 0, NULL, NULL)))
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{
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@@ -1214,7 +1214,6 @@ int TestMacro_Int_Double_Double(const Func *f, MTdata d, bool relaxedMode)
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return error;
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}
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// Run the kernels
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for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
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{
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@@ -441,6 +441,7 @@ int TestMacro_Int_Float(const Func *f, MTdata d, bool relaxedMode)
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vlog("\n");
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exit:
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// Release
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for (i = gMinVectorSizeIndex; i < gMaxVectorSizeIndex; i++)
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{
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clReleaseProgram(test_info.programs[i]);
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@@ -507,7 +508,7 @@ static cl_int TestFloat(cl_uint job_id, cl_uint thread_id, void *data)
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// Get that moving
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if ((error = clFlush(tinfo->tQueue))) vlog("clFlush failed\n");
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// Write the new values to the input array
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// Init input array
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cl_uint *p = (cl_uint *)gIn + thread_id * buffer_elements;
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for (j = 0; j < buffer_elements; j++) p[j] = base + j * scale;
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@@ -676,18 +676,21 @@ int TestFunc_mad_Double(const Func *f, MTdata d, bool relaxedMode)
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p2[j] = DoubleFromUInt32(genrand_int32(d));
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p3[j] = DoubleFromUInt32(genrand_int32(d));
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}
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if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer, CL_FALSE, 0,
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bufferSize, gIn, 0, NULL, NULL)))
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{
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vlog_error("\n*** Error %d in clEnqueueWriteBuffer ***\n", error);
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return error;
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}
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if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer2, CL_FALSE, 0,
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bufferSize, gIn2, 0, NULL, NULL)))
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{
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vlog_error("\n*** Error %d in clEnqueueWriteBuffer2 ***\n", error);
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return error;
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}
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if ((error = clEnqueueWriteBuffer(gQueue, gInBuffer3, CL_FALSE, 0,
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bufferSize, gIn3, 0, NULL, NULL)))
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{
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@@ -695,7 +698,6 @@ int TestFunc_mad_Double(const Func *f, MTdata d, bool relaxedMode)
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return error;
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}
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// Run the kernels
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for (j = gMinVectorSizeIndex; j < gMaxVectorSizeIndex; j++)
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{
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@@ -629,7 +629,7 @@ static cl_int TestFloat(cl_uint job_id, cl_uint thread_id, void *data)
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return error;
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}
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// Run the kernel
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// run the kernel
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size_t vectorCount =
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(buffer_elements + sizeValues[j] - 1) / sizeValues[j];
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cl_kernel kernel = job->k[j][thread_id]; // each worker thread has its
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