Previously, in order to specify a device with the timer, it had to be
specified in the timer's construction or had to be specified every time
GetElapsedTime was called. The first method was inconvienient in the
case where there are multiple code paths to define the device and the
latter method was inconvienient because you would have to pass around a
device id.
Both these techniques still exist, but we have also added a new form of
Reset that allows you to change the device the timer is used on.
Previously, a vtkm::cont::Timer had to be initialized with either no
device or with a device adapter tag. However, this precluded
initializing the timer with a DeviceAdapterId, which made it difficult
to create a timer at runtime. Instead, just accept a DeviceAdapterId
(which all device adapter tags inherit from) and do runtime checks.
In certain circumstances (currently, when logging is enabled), VTK-m
libraries depend on the threading library. However, when the VTK-m
package was included from an external project, it did not automatically
find the threads package. This change makes the Threads library loaded
when the VTK-m package is found.
VTK-m has been updated to replace old per device benchmark executables with a device
dependent shared library so that it's able to accept a device adapter at runtime through
the "--device=" argument.
The ArrayPortalValueReference is supposed to behave just like the value
it encapsulates and does so by automatically converting to the base type
when necessary. However, when it is possible to convert that to
something else, it is possible to get errors about ambiguous overloads.
To avoid these, add specialized versions of the operators to specify
which ones should be used.
Also consolidated the CUDA version of an ArrayPortalValueReference to the
standard one. The two implementations were equivalent and we would like
changes to apply to both.
The timer class now is asynchronous and device independent. it's using an
similiar API as vtkOpenGLRenderTimer with Start(), Stop(), Reset(), Ready(),
and GetElapsedTime() function. For convenience and backward compability, Each
Start() function call will call Reset() internally and each GetElapsedTime()
function call will call Stop() function if it hasn't been called yet for keeping
backward compatibility purpose.
Bascially it can be used in two modes:
* Create a Timer without any device info. vtkm::cont::Timer time;
* It would enable timers for all enabled devices on the machine. Users can get a
specific elapsed time by passing a device id into the GetElapsedtime function.
If no device is provided, it would pick the maximum of all timer results - the
logic behind this decision is that if cuda is disabled, openmp, serial and tbb
roughly give the same results; if cuda is enabled it's safe to return the
maximum elapsed time since users are more interested in the device execution
time rather than the kernal launch time. The Ready function can be handy here
to query the status of the timer.
* Create a Timer with a device id. vtkm::cont::Timer time((vtkm::cont::DeviceAdapterTagCuda()));
* It works as the old timer that times for a specific device id.
The kernel launch component of the runtime device adapter is fairly
pointless. If the hardware supports CUDA we should expect that
VTK-m has the correct kernel versions.
Plus in the original version if the CUDA device was being used
and the kernel launch returns cudaErrorDevicesUnavailable it
was never possible to restore CUDA support. Now what happens
is that the runtime tracker is marked as failed, but the
calling code can always go back and trying the device again.
This is only set while compiling device code, and is useful
for code that needs different implementations on devices (e.g.
they call CUDA device intrinsics, etc).
`vtkm::cont::testing` now initializes with logging enabled and support
for device being passed on the command line, `vtkm::testing` only
enables logging.
When you call VariantArrayHandle::CastAndCall, it now tries both basic
storage and virtual storage. You can modify the types of storages tried
by giving a type list of storage tags as the first argument.
The purpose of the TestBuild infrastructure was to confirm that
VTK-m didn't have any lexical issues when it was a pure header
only project. As we now move to have more compiled components
the need for this form of testing is mitigated. Combined
with the issue of TestBuilds causing MSVC issues, we should
just remove this infrastructure.
The script fixed up most of the issues. However, there were some
instances that the script was not able to pick up on. There were
also some instances that still needed a means to select types.
We want to make sure that VariantArrayHandleContainer has as little
overhead when launch worklets as possible. To do so we cache
type information to make deducing the `T` type of ArrayHandles
as fast as possible.
543255c37 Move the HumanSize function to Logging.cxx as it is only used by the logger
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !1508
Previously you had to exactly match the case of a device adapter's name to
construct it, which was a source of lots of problems ( OpenMP versus OPENMP, CUDA or Cuda ).
Now `vtkm::cont::make_DeviceAdapterId` and `vtkm::cont::RuntimeDeviceTracker` support
case-insensitive device construction.
The DeepCopy method is used when a ScopedGlobalRuntimeDeviceTracker
is constructed. This in turn causes the rebuilding of the device
names and states which isn't a free operation. Now we copy the already
computed information.
This was noticeable when using ArrayHandleTransform since it uses
ScopedGlobalRuntimeDeviceTracker when construction host side
portals.
Previously these two functions would give compile errors when asked to
compare against an Array with a different value type. This makes it easier
to write generic code that compares virtual handles.
ArrayHandleVirtual can automatically be constructed from any ArrayHandle.
In the cases where the input ArrayHandle doesn't derived from ArrayHandleVirtual,
it will automatically construct StorageAny to hold the array.
d5dc414e7 StorageBasic allocation logic now reports number of elements
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Allison Vacanti <allison.vacanti@kitware.com>
Merge-request: !1484
When looking at allocations it is useful to have memory size and
the number of elements so you can figure out what type/sizeof(type)
is being allocated
Also
- Renamed vtkm::cont::make_DeviceAdapterIdFromName to just overload
make_DeviceAdapterId.
- Refactored CMake logic for unit tests
- Since we're now querying the device tracker for the names, they
cannot be all caps.
- Updated usages of InitLogging to use Initialize instead.
- Added changelog.
The vtkm::cont::ConvertNumComponentsToOffsets method was originally
created before vtkm::cont::DeviceAdapterId and the dynamic
vtkm::cont::Algorithm classes were created. Thus, it contained its own
version of TryExecute and did not support the direct selection of a
device at runtime. Change the function to use the new dynamic device
adapter id, which makes this more consistent with the rest of VTK-m and
cleans up the implementation quite a bit.
Adds a variable `GlobalPointIndexStart` to `CellSetStructured`.
Adding this to the cell-set, instead of the coordinate system, enables this
feature for different types of datasets like uniform grid, rectilinear, etc.,
with this one change.
The extents can be computed using `GlobalPointIndexStart` and `PointDimensions`.
To get the average, we (of course) divide the sum by the amount of
values, which is returned from valuesIn.GetNumberOfComponents(). To do
this, we need to cast the number of components (returned as a
vtkm::IdComponent) to a FieldType. This is a little more complex than it
first seems because FieldType might be a Vec type. If you just try a
static_cast<FieldType>(), it will use the constructor to FieldType which
might be a Vec constructor expecting the type of the component. This in
turn could cause a warning because the vtkm::IdComponent is implicitly
converted to the Vec's component type.
Get around this problem by first casting to the component type of the
field and then constructing a field value from that.
VTK-m has been updated to replace old per device worklet testing executables with a device
dependent shared library so that it's able to accept a device adapter
at runtime.
Meanwhile, it updates the testing infrastructure APIs. vtkm::cont::testing::Run
function would call ForceDevice when needed and if users need the device
adapter info at runtime, RunOnDevice function would pass the adapter into the functor.
Optional Parser is bumped from 1.3 to 1.7.
If multiple threads call a function with a static function
simultaneously for the first time, C++ does not guarantee that the
static member will be constructed correctly. Make sure that it happens
correctly.
Creating all the presets as vtkm::cont::ColorTable objects and passing
them back was problematic. It caused state to be shared and caused
issues when deallocating after the device deallocation methods were
finalized. Instead, make a simple struct and build new color tables on
the fly.
By making RuntimeDeviceInformation class template independent, vtkm is
able to detect
device info at runtime with a runtime specified deviceId. In the past
it's impossible
because the CRTP pattern does not allow function overloading(compiler
would complain
that DeviceAdapterRuntimeDetector does not have Exists() function
defined).
169ca722b Redesign vtkm::cont::ColorTable to work with separable compilation.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Sujin Philip <sujin.philip@kitware.com>
Merge-request: !1445
In some functors within Algorithm.h, the functor did not have a
default constructor that initialized its fields. This could in turn
lead to a warning about using it unitialized.
Now that the dispatcher does its own TryExecute, filters do not need to
do that. This change requires all worklets called by filters to be able
to execute without knowing the device a priori.
Implement more general versions of `test_equal_ArrayHandles`, `test_equal_CellSets`, `test_equal_Fields`, and `test_equal_DataSets` functions and put them
in vtkm/cont/testing/Testing.hi with the hope that they will be useful for
others also.
This is a subclass of ExecutionObject and a superset of its
functionality. In addition to having a PrepareForExecution method, it
also has a PrepareForControl method that gets an object appropriate for
the control environment. This is helpful for situations where you need
code to work in both environments, such as the functor in an
ArrayHandleTransform.
Also added several runtime checks for execution objects and execution
and cotnrol objects.
This change allows you to set a subclass of
vtkm::cont::ExecutionObjectBase as a functor
used in ArrayHandleTransform. This latter class will then detect that
the functor is an ExecObject and will call PrepareForExecution with the
appropriate device to get the actual Functor object.
This change allows you to use virtual objects and other device dependent
objects as functors for ArrayHandleTransform without knowing a priori
what device the portal will be used on.
Rather than force all dispatchers to be templated on a device adapter,
instead use a TryExecute internally within the invoke to select a device
adapter.
Because this removes the need to declare a device when invoking a
worklet, this commit also removes the need to declare a device in
several other areas of the code.
a8fa8d918 Use device id names where possible.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1393
Adds a fancy array handle that restricts access to an array to some
window of values. It takes a start offset and a size and represents the
values between that start offset and size past that.
59c8bd28a vtkm::cont::Algorithm now can be told which device to run on at runtime
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1365
e34301eca Allow disabling/enabling of CUDA managed memory via an env variable
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1359
By setting the environment variable "VTKM_MANAGEDMEMO_DISABLED" to be 1,
users are able to disable CUDA managed memory even though the hardware is
capable of doing so.
Calls to 'cudaFree' block execution on all cuda devices. Reduce the number of
times this happens by having a deferred free mechanism that frees a pool
of pointers together when a threshold is reached.
Especially helpful during virtual object transfers that requires a few small
allocations and frees.
2c079b96d Make AtomicArrays work on CUDA 8.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1357
Also add a throwFailedRuntimeDeviceTransfer that throws a nicely
detailed message on why a something couldn't be transfered to
the requested device adapter.
554bc3d36 At runtime TryExecute supports a specific deviceId to execute on.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1334
Fixes issue #276.
OpenMP tests when run in parallel exhibit negative scaling as we
have N openMP processes each spawning N threads. We speculate that
this causes excessive context switching and swapping and reduces
performance.
The OpenMP Device Reduction algorithm previously used a std::vector<T>
to store the reduction results of each thread. This caused problems
when T=bool as the types became a proxy type which isn't usable
with vtkm BinaryOperators.
Additionally by fixing this issue in the FunctorsOpenMP we
can remove a workaround in FunctorsGeneral that caused
compile failures when using complex BinaryOperators
such as MinAndMax.
std::random_shuffle is deprecated in C++14 because it's using std::rand
which uses a non uniform distribution and the underlying algorithm is
unspecified. Using std::shuffle can provide a reliable result in a 64
bit version.
It will reduce the cost of getting the thread runtime device tracker,
and will have a better runtime overhead if user constructs a lot of
short lived threads that use VTK-m.
Previously ArrayHandleBasicImpl had no support for OpenMP since
we forgot to update the implementation. This version will
work when adding new devices without any changes.
14824bd42 Make sure people always treat DeviceAdapterId as a proper type
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Sujin Philip <sujin.philip@kitware.com>
Merge-request: !1332
96ae94420 Simplified execution object creation for atomic array
0bd197af9 moved TwoLevelUniformGridExecutionObject to vtkm/exec/internal
6ce895be8 simplified how atomic arrays create execution objects
f1ee5b92a fix a rebase error
25d140361 fix bad rabse for wireframer
f892695f1 fixing so wierd merging issue
9bb00ec66 moved the execution object for TwoLevelUniform grid to vrkm::exec
db1c9bfee Change the namespacing of atomic array
...
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1243
Benchmarking in VTK showed significant overhead in the computation
of the reverse connectivity calculation in
ConnectivityExplicitInternals::ComputeCellToPointConnectivity.
This patch adds a ReverseConnectivityBuilder that reduces the amount of
time and memory needed to build the table by using an atomic histogram
approach that avoids a costly radix SortByKey.
Key operations in the new helper class are templated to allow this
approach to be reused by VTK-specific cell array converters.
There is no real reason why you cannot construct an
ArrayPortalFromIterators on a device, so go ahead and let that happen.
(This removes some CUDA warnings about calling __host__ from
__device__.)
Having VTKM_EXEC on algorithms for CPU devices was problematic because
the algorithms were specific to the CPU, but during a CUDA compile it
would try to compile device code (for no reasons since it was never
called on a device).
Remove these identifiers for the idea that a device implementation knows
specifically what function modifiers to use and does not need the VTK-m
defined catch-alls.
By making is_base_of part of PrepareArgForExec, we can shorten not only
the C++ code but also the code that is generated by it.
Also, return && instead of by value when passing through the argument.
Changes thanks to Robert Maynard.
The original design of invoke and the transport infrastructure
relied on the implementation behavior of vtkm::cont types
such as ArrayHandle that used an internal shared_ptr to managed
state. This allowed passing by value instead of passing by
non-const ref when needing to transfer information to the device.
As VTK-m adds support for classes that use virtuals the ability
to pass by base pointer type allows for us to invoke worklets
using a base type without the risk of type slicing.
Additional by moving over to a non-const ref Invocation we
can update all transports that have 'output' to now be
by ref and therefore support types that can't be copied while
being 'more' correct.
Most of the arguments given to device adapter algorithms are actually
control-side arguments that get converted to execution objects internally
(usually a `vtkm::cont::ArrayHandle`). However, some of the algorithms,
take an argument that is passed directly to the execution environment, such
as the predicate argument of `Sort`. If the argument is a plain-old-data
(POD) type, which is common enough, then you can just pass the object
straight through. However, if the object has any special elements that have
to be transferred to the execution environment, such as internal arrays,
passing this to the `vtkm::cont::Algorithm` functions becomes
problematic.
To cover this use case, all the `vtkm::cont::Algorithm` functions now
support automatically transferring objects that support the `ExecObject`
worklet convention. If any argument to any of the `vtkm::cont::Algorithm`
functions inherits from `vtkm::cont::ExecutionObjectBase`, then the
`PrepareForExecution` method is called with the device the algorithm is
running on, which allows these device-specific objects to be used without
the hassle of creating a `TryExecute`.
1. Have a per-thread pinned array for cuda errors
2. Check for errors before scheduling new tasks and at explicit sync points
3. Remove explicit synchronizations from most places
Addresses part 2 of #168
There was an error in TestingPointLocatorUniformGrid in which it was
creating arrays of type vtkm::Float32 and passing them to a worklet that
expected vtkm::FloatDefault. This is corrected.
-For the BoundingIntervalHierarchy CUDA had failures with using
.cxx file to implement the virtual methods
-Moving the contents to the .hxx file after discussing with Rob
over email
-Need to still work on the .cxx implementation after merge
Error: Throwing an exception in CUDA code.
Fix: Change method throwing exception to VTKM_CONT.
New warning: host/device warning in taotuple.
Fix: Markup additional taotuple methods with suppressions.
This also updates our taotuple checkout to match upstream master.
- Reducing the stack allocation for CUDA for the BIH unit test
- Adding changes from Ken's review
- Suppress ptxas stack size warning for BoundingIntervalHierarchy
Previously when PointLocatorUniformGrid.h was compiled by the CUDA
compiler, the compiler would crash. Apparently during the ptxas
part of the compiler goes into a crazy recursion and runs out of
stack space. This appears to be a long-standing bug in CUDA
(been there for multiple releases) without a clear reason why it
sometimes rears its ugly head. (See for example
https://devtalk.nvidia.com/default/topic/1028825/cuda-programming-and-performance/-ptxas-died-with-status-0xc00000fd-stack_overflow-/)
The problem appears to be when having a doubly or triply nested
loop over a box of values to check in the uniform array. This
appears to fix the problem by converting that to a single for
loop with some index magic to convert that to 3D indices.
- Changing the name PrepareForExecutionOnDevice to PrepareForExecutionImpl
- Adding changes suggested by Ollie and Ken to return the execution object
from PrepareForExecutionImpl using VirtualObjectHandle
- Updating PrepareForExecutionFunctor
Previously, to query whether an ArrayHandle was writable with
IsWriteableArrayHandle, you had to specify a device adapter. The idea
was that it would look at the portal used for that device adapter.
Instead, check the control pointer, which should give the same
indication without having to have a separate check for every type of
device.
880d8a989 Add `vtkm/Geometry.h` and test it.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1262
This commit adds several geometric constructs to vtk-m
in the `vtkm/Geometry.h` header. They may be used from
both the execution and control environments.
We also add methods to perform projection and Gram-Schmidt
orthonormalization to `vtkm/VectorAnalysis.h`.
See `docs/changelog/geometry.md` included in this commit
for more information.
Found via `codespell` and `grep`
more typos
includes source typo change and a typo that needs further review
follow-up typos
Follow-up typos
Revert a commit
Previously, it was not possible to call Allocate or Shrink on an
implicit storage. The reason for this is that the implicit storage does
not represent any real memory and any attempt to modify it is wrong.
However, there are some rare cases where ArrayHandle will attempt to
"allocate" the storage even when behaving in a read-only manner. The use
case this is being created for is when an ArrayHandleImplicit first
calls ReleaseResources and then calls ReleaseResourcesExecution (or
anything else that tries to get a control-side portal). In this case,
the ReleaseResources makes the control side portal invalid and the
ReleaseResourcesExecution attempts to make it valid again by allocating
the storage to size 0. This change solves the problem by allowing the
implicit storage to be "allocated" to something smaller than originally
created.
157894436 Enable Vec construction with intializer_list of single value
79afe2a16 Simplify make_ArrayHandleSwizzle
ae8d994d2 Add support for initializer lists in Vec
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Allison Vacanti <allison.vacanti@kitware.com>
Merge-request: !1239
- Adding API files
- Adding back Manish's BoundingIntervalHierarchy search structure
- Updating CMakeLists.txt to accomodate these changes
- Adding the old test file from Manish - won't build for now
-Changing the existing CellLocator.h to CellLocatorHelper.h,
it's used by CellLocatorTwoLevelUniformGrid.h
-Changing unit tests and worklets that use CellLocator.h to use CellLocatorHelper.h
183bcf109 Add initial version of an OpenMP backend.
7b5ad3e80 Expand device scheduler test to check for overlap.
e621b6ba3 Generalize the TBB radix sort implementation.
d60278434 Specialize swap for ArrayPortalValueReference types.
761f8986f Cache inputs to SSI::Unique benchmark.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1099
9c3547bc7 VTK-m cuda runtime now handles no cuda runtime properly
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Sujin Philip <sujin.philip@kitware.com>
Merge-request: !1242
This fix addresses issue #110. Test functions in TestingDeviceAdapter have
been updated to test large arrays through random indices using
std::uniform_int_distribution rather than testing every 100th or 50th value.
1c5feeb1 Make sure all device specific tests use the intended device.
30205be8 Make sure PointLocatorUniformGrid always uses the provided device adapter
74df09fb Remove unneeded trailing ; from PointLocatorUniformGrid
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Allison Vacanti <allison.vacanti@kitware.com>
Merge-request: !1209
c3c8d0fd Refactor ArrayHandleCompositeVector to simplify usage and impl.
ec88b7dd Markup array portals for use in the exec env.
3159b376 Make Swizzle and ExtractComponent array parameters runtime vars.
19344707 Add vtkm_taotuple to build system.
d23c4452 Merge branch 'upstream-taotuple' into tmp
b3b14de7 taotuple 2018-05-15 (e3de8c97)
b00f6c1c Add taocpp/tuple as a thirdparty package.
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1199
When copying small arrays from cpu memory to pascal memory we would
see subsequent kernels fail as the memory transfer hadn't finished.
This is a bug as each stream should act like a FIFO queue. So
for now when encountering this use case we explicitly synchronize
after the memcpy.
- Use tao::tuple instead of FunctionInterface to hold array/portal
collections.
- Type signatures are simplified. Now just use:
- ArrayHandleCompositeVector<ArrayT1, ArrayT2, ...>
- make_ArrayHandleCompositeVector(array1, array2, ...)
instead of relying on helper structs to determine types.
- No longer support component selection from an input array. All
input arrays must have the same ValueType (See ArrayHandleSwizzle
and ArrayHandleExtractComponent as the replacements for these
usecases.
This means that we not only setup the runtime device tracker
to force the intended device, it also means making sure
the default device is the error device.
The previous implementation of DeviceAdapterRuntimeDetector caused
multiple differing definitions of the same class to exist and
was causing the runtime device tracker to report CUDA as disabled
when it actually was enabled.
The ODR was caused by having a default implementation for
DeviceAdapterRuntimeDetector and a specific specialization for
CUDA. If a library had both CUDA and C++ sources it would pick up
both implementations and would have undefined behavior. In general
it would think the CUDA backend was disabled.
To avoid this kind of situation in the future I have reworked VTK-m
so that each device adapter must implement DeviceAdapterRuntimeDetector
for that device.
While making changes to how execution objects work, we had agreed to
name the base object ExecutionObjectBase instead of its original name of
ExecutionObjectFactoryBase. Somehow that change did not make it through.
571556d9 CUDA's RuntimeDeviceTracker and Timer are now built as part of vtkm_cont
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Sujin Philip <sujin.philip@kitware.com>
Merge-request: !1196
This is done to not only reduce the amount of code that users need
to generate but to reduce the amount of errors when using
the RuntimeDeviceTracker. If the runtime device tracker is initially
used in a library by a c++ file it will never properly detect the
cuda backend. By moving the code into vtkm_cont we can make sure
this problem doesn't occur.
The logic inside DataSetBuilderUniform has some tricky logic but for all
cases the dimensions are correct. We just initialize the variable to make
the compiler stop warning.
Rather than require all ExecutionObjectFactoryBase classes to declare a
templated ExecObjectType type, get the type of the execution object
directly from the result of the PrepareForExecution method.
before it was wall prepareforexecution(device) creating an execution object but invoke calls this function now through the transport tag so we just need to give it the factory object not the execution object
updating the transport execution object test to use the factory to create an execution object based on the templated device and chaged the trasport tag to call the prepareForExectuion(Device) method to create the execution object.
In order to make the change from the current way execution obejcts are utilized to the new proposed executionObjectFactory process type checks now has to look for the new execution object factory class to check against.
Modify PointLocatorUniform::Build to return an ExecutionObjec, Locator.
The Locator can the be passed to Worklets for finding neareast neighbor
point by calling the FindNeareastPoint method.
f025c218 Suppress conversion warning inside Cell Interpolate code
822d4c61 Marching Cubes test doesn't abuse fall through case statements
dac7ab98 Correct a bad memcpy in ColorTable that gcc 7 found
c6726644 Reformat some test code to stop gcc 7.3 from segfaulting.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Utkarsh Ayachit <utkarsh.ayachit@kitware.com>
Merge-request: !1175
Somehow deducing the parameters to a static function was causing
gcc to segfault and crash. Changed around the code to use a free
function and everything works properly
