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.
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.
Sandia National Laboratories recently changed management from the
Sandia Corporation to the National Technology & Engineering Solutions
of Sandia, LLC (NTESS). The copyright statements need to be updated
accordingly.
Affine transformations of homogeneous coordinates using 4x4 matrices are
quite common in visualization. Create a new math header file in the base
vtkm namespace that has common functions for such coordinates.
Much of this implementation was taken from the rendering matrix helpers.
All the other math functions are in the vtkm package. This one was in
vtkm::exec because it uses a callback method. This can be problematic on
CUDA the the declaration of NewtonsMethod does not match the callback
method. However, we now have a VTKM_SUPPRESS_EXEC_WARNINGS macro that
allows a VTKM_EXEC_CONT_EXPORT function (like NewtonsMethod) to call
either a VTKM_EXEC_EXPORT or VTKM_CONT_EXPORT without a warning.
We have decided that we do not need the concept of an Extent in our data
model. Instead, we simply use dimensions, which can be represented in a
vtkm::Id3.
This class implicitly stores the point coordinates for a rectilinear
cell (such as a voxel) with just the location of the lower left point
and the spacing in each dimension. In addition to saving space, this
class should allow cell-specific functions to specialize for faster
processing.
This class holds a Vec and exposes some number of components. The class
is used when you need a Vec of a size that is not known at compile time
but that a maximum length of reasonable size is known.
Also fix some issues that caused the compile to fail when trying to
run some of the math functions on a CUDA device. In particular, CUDA
is picky about using a global const on a device when the const type is
not one of the basic C types.
The zip capability allows you to parameter-wise combine two
FunctionInterface objects. The result is another FunctionInterface with
each parameter a Pair containing the respective values of the two
inputs.
Being able to zip allows you to do transforms and invokes on data that
is divided among multiple function interface objects.
Provies a list of types in a template like boost::mpl::vector and a
method to call a functor on each type. However, rather than explicitly
list each type, uses tags to identify the list. This provides the
following main advantages:
1. Can use these type lists without creating horrendously long class
names based on them, making compiler errors easier to read. For example,
you would have a typename like MyClass<TypeListTagVectors> instead of
MyClass<TypeList<Id3,Vector2,Vector3,Vector4> > (or worse if variadic
templates are not supported). This is the main motivation for this
implementation.
2. Do not require variadic templates and usually few constructions. That
should speed compile times.
There is one main disadvantage to this approach: It is difficult to get
a printed list of items in a list during an error. If necessary, it
probably would not be too hard to make a template to convert a tag to a
boost mpl vector.
