Previously, ExternalFaces really only supported tetrahedral meshes that
have only triangular faces. These changes support all mixes of cells and
their faces.
There was an error in the clip tables for clipping lines. It was
referring to edge 1 for one of the case, but of course a line has only 1
edge at index 0. Fix the error in the clipping table and also add a
check for if we get an index to an invalid line.
For some reason when VTK-m was being compiled as an accelerator in VTK,
Visual Studio 2013 gave a bunch of warnings about not being able to generate
assignment operators for many classes. This happened for classes with a
const ivar that could not be automatically set. (Automatic copy constructors
are fine on this count.) I'm not sure why these warnings did not happen
when just compiling VTK-m, nor am I sure why they were generated at all as
no code actually used the copy constructors.
This commit fixes the problems by adding a private declaration for assignment
operators that cannot be automatically created. No implementation is
provided, nor should any be needed.
Previously, the operator for a Transport class took the object being
transported to the execution environment and the size of the output
domain. This change also passes in the control-side argument for the
input domain. This will help check input array sizes as well as make
other potential transformations based on the input domain.
Change the VTKM_CONT_EXPORT to VTKM_CONT. (Likewise for EXEC and
EXEC_CONT.) Remove the inline from these macros so that they can be
applied to everything, including implementations in a library.
Because inline is not declared in these modifies, you have to add the
keyword to functions and methods where the implementation is not inlined
in the class.
c4183cfa Refactor WholeCellSetIn to handle Point->Cell and Cell->Point
f65f5ea6 WorkletBase can now transport CellSets as a whole execution object.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !601
ThreadIndicies constructor was templated on the invocation type, which created
thousand's of versions of that symbol which all had the same behavior. So now
remove that and move that logic into a Worklet function since it requires
the invocation info.
The two worklets for marching cubes use tables stored in arrays that
have random access. Previously, they arrays were passed using the
ExecObject tag in ControlSignature along with ExecutionWholeArrayConst.
This changes to using a WholeArrayIn tag and just passing the
ArrayHandle directly to the Invoke method. The end result is the same,
but the code is a bit cleaner.
The WholeArrayIn, WholeArrayInOut, and WholeArrayOut ControlSignature
tags behave similarly to using an ExecObject tag with an
ExecutionWholeArray or ExecutionWholeArrayConst object. However, the
WholeArray* tags can simplify some implementations in two ways. First,
it allows you to specify more precisely what data is passed in. You have
to pass in an ArrayHandle or else an error will occur (as opposed to be
able to pass in any type of execution object). Second, this allows you
to easily pass in arrays stored in DynamicArrayHandle objects. The
Invoke mechanism will automatically find the appropriate static class.
This cannot be done easily with ExecutionWholeArray.
The previous implementation was declaring static arrays in methods,
which cannot be used on a CUDA device. Instead, make static tables that
can be passed to the device with array handles (much like clip tables
do).
The tetrahedralize algorithms have been changed to use the Scatter
classes to build indices rather than build them on their own.
To implement this efficiently with structured grids, a new ScatterUniform
class was made. I also added a new execution argument tag that allows
you to get the thread indices object from within the worklet.
This changes the interface to the ThreadIndices classes to have both
input and output indices. It also adds a visit index to ThreadIndices.
Also added the VisitIndex execution signature tag, which relies on this
behavior.
Previously we always ran DynamicTransformCont even if we knew all the types.
By checking for Dynamic types first, we save roughly 3% on the binary size.
This also is a good starting point for a redesign of DynamicTransformCont
DispatcherMapField was templated on the device adapter but it
actually doesn't need to be, only BasicInvoke and subsequent
methods need to be templated on the device.
This now allows for even more efficient construction of uniform point
coordinates when running under the 3d scheduler, since we don't need to go
from 3d index to flat index to 3d index, instead we stay in 3d index
Previously, all Fetch objects received an Invocation object in their
Load and Store methods. The point of this was that it allowed the Fetch
to get data from any of the execution objects. However, every Fetch
either just got data directly from its associated execution object or
else used a secondary execution object (the input domain) to get indices
into their own execution object.
This left two potential areas for improvement. First, pulling data out
of the Invocation object was unnecessarily complicated. It would be much
nicer to get data directly from the associated execution object. Second,
when getting index information from the input domain, it was often the
case that extra computations were necessary (particularly on structured
cell sets). There was no way to share the index information among
Fetches, and therefore the computations were replicated.
This change removes the Invocation from the Fetch Load and Store.
Instead, it passes the associated execution object and a new object type
called the ThreadIndices. The ThreadIndices are customized for the input
domain and therefore have all the information needed for a redirected
lookup. It is also a thread-local object so it can cache computed
indices and save on computation time.
