Added a BaseComponentType to VecTraits that recursively finds the base
(non-Vec) type of a Vec. This is useful when dealing with potentially
nested Vec's (e.g. Vec<Vec<T, M>, N>) and you need to keep the structure
but know the base type.
Also added a couple of templates for keeping the structure but changing
the type. These are ReplaceComponentType and ReplaceBaseComponentType.
These allow you to create new Vec's with the same structure as the query
Vec but with differen component types.
Currently, ListTags are implemented by having a subtype name list set to
a brigand::list. However, there is always a chance this will change. To
make things more explicit, create a vtkm::internal::ListTagToBrigandList
to make it clear what the resulting type should be (and provide some
potential future-proofing).
Also add a convenient vtkm::ListTagApply that allows you to easily
instantiate a template with the list of types in a ListTag.
vtkm::internal::Variant is a simplified version of C++17's std::variant
or boost's variant. It is a template that takes a list of types. The
Variant may be set to any one of those types. A CastAndCall allows you
to call a functor with the appropriately cast type.
The VTK-m testing infrastructure isn't public facing so it doesn't
need to be installed or clutter the main VTKmWrappers file.
At the same time I have refactored the code to make it clearer
to understand, and remove unused options.
2e0f4dd37 Fix floating point error in test
b766d9a92 Improve support of testing recursive types
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1691
HasVecTraits<T> is a template that will resolve to std::true_type if
VecTraits<T> is properly defined and std::false_type otherwise. This is
helpful when defining classes and methods that use VecTraits but you
still want them to compile if VecTraits does not exist.
As the RuntimeDeviceTracker is a per thread construct we now make
it explicit that you can only get a reference to the per-thread
version and can't copy it.
ff687016e For VTK-m libs all includes of DeviceAdapterTagCuda happen from cuda files
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !1648
It is very easy to cause ODR violations with DeviceAdapterTagCuda.
If you include that header from a C++ file and a CUDA file inside
the same program we an ODR violation. The reasons is that the C++
versions will say the tag is invalid, and the CUDA will say the
tag is valid.
The solution to this is that any compilation unit that includes
DeviceAdapterTagCuda from a version of VTK-m that has CUDA enabled
must be invoked by the cuda compiler.
Fixes#277
DeviceAdapterError existed to make sure that the default device adapter
template was being handled properly. Since the default device adapter doesn't
exist, and nothing is templated over it we can now remove DeviceAdapterError.
`vtkm::cont::testing` now initializes with logging enabled and support
for device being passed on the command line, `vtkm::testing` only
enables logging.
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.
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.
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).
The VTKM_TEST_ASSERT macro is a very useful tool for performing checks
in tests. However, it is rather annoying to have to always specify a
message for the assert. Often the failure is self evident from the
condition (which is already printed out), and specifying a message is
both repetative and annoying.
Also, it is often equally annoying to print out additional information
in the case of an assertion failure. In that case, you have to either
attach a debugger or add a printf, see the problem, and remove the
printf.
This change solves both of these problems. VTKM_TEST_ASSERT now takes a
condition and a variable number of message arguments. If no message
arguments are given, then a default message (along with the condition)
are output. If multiple message arguments are given, they are appended
together in the result. The messages do not have to be strings. Any
object that can be sent to a stream will be printed correctly. This
allows you to print out the values that caused the issue.
947496550 constexpr construction for Vec classes
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Sujin Philip <sujin.philip@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1254
Vec class objects can now be constructed during compile-time
as constant expressions by calling Vec( T, ... ) constructors
or through brace-initialization.
Constant expression using fill constructor and nested vectors
of sizes greater than 4 are not supported yet.
Changes made to WrappedOperators.h for resolving overload
ambiguities in Vec construction and typecasting.
Appropriate test cases were added to UnitTestTypes.cxx.
Addresses issue #199.
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.
Previously, the initilaizer_list of Vec had to be the exact
same number of values as the size of the Vec. Now, we also
accept a single value that is duplicated for all values in
the Vec. That allows you to more easily construct lists
of lists with repeated values.
Add constructors to the `vtkm::Vec` classes that accept
`std::initializer_list`. The main advantage of this addition is that it
makes it much easier to initialize `Vec`s of arbitrary length.
The maybe uninitialized warnings condition logic wasn't correct the
first time, and needed to be extended for gcc4+. This locally has
resolved the problems the first try didn't solve.
These changes now allow VTK-m to compile on CUDA 7.5 by using const arrays,
when compiling with CUDA 8+ support we upgrade to static const arrays, and
lastly when CUDA is disabled we fully elevate to static constexpr.
There was a bug where if you included an empty range into another range,
the range suddenly became infinite. This is because empty ranges have
the max at -infinity and the min at infinity. If you just include the
endpoints independently (which is what include does), then the min gets
-infinity and the max gets infinity. This gets a check to make sure that
empty ranges are ignored.
When using vtkm::dot on narrow types you easily rollover the values.
Instead the result type of vtkm::dot should be wide enough to store the results
(32bits) when this occurs.
Fixes#193
The intel compiler could not generate code in a timely manner ( 12+ hours ) when
asked to produce a cross product of very long lists. By moving to a lazy
evaluation scheme we now have all compilers product a cross product in a
reasonable amount of time ( 2-4 seconds ).
This resolves Issues:
- https://gitlab.kitware.com/vtk/vtk-m/issues/190
- https://gitlab.kitware.com/vtk/vtk/issues/17196
If a global static array is declared with VTKM_EXEC_CONSTANT and the code
is compiled by nvcc (for multibackend code) then the array is only accesible
on the GPU. If for some reason a worklet fails on the cuda backend and it is
re-executed on any of the CPU backends, it will continue to fail.
We couldn't find a simple way to declare the array once and have it available
on both CPU and GPU. The approach we are using here is to declare the arrays
as static inside some "Get" function which is marked as VTKM_EXEC_CONT.