When one of the parameters to DispatcherBase::Invoke is incorrect, you
get an error in a strange place. It is deep in a call stack using some
heavily templated types rather than where the Invoke is actually called.
Formerly, the code was structured to give a very obfuscated error
message. Try to make this easier on users by first adding helpful hints
in the code around where the error is to explain why the error occured
and helpful advice on how to track down the problem. Second, reconfigure
the static_assert so that the compiler gives a readable error message.
Third, add some auxiliary error messages that provide additional
information about the types and classes involved in the error.
Previously FloatPointReturnType would always be double for types that
are not float, which caused Int8/Int16 types to promote to double instead
of float.
1. Add option to copy user supplied array in make_ArrayHandle.
2. Replace Field constructors that take user supplied arrays with make_Field.
3. Replace CoordinateSystem constructors that take user supplied arrays with
make_CoordinateSystem.
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.
The speed improvement fix regressed support for non scalar types, this
correct that issue.
The issue was found while trying to bump the VTK-m version inside VTK.
32148cdb A first pass at improving the compile time of MarchingCubes
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Matt Larsen <mlarsen@cs.uoregon.edu>
Merge-request: !989
8fabece1 Use median point from cluster as representative vertex.
c7bf0c95 Compute PointIdMap while reducing cluster ids.
5dee7c6a Select input point from cluster rather than averaging.
28e76ddb Update vertex clustering benchmarking code.
e3c9e7bb Optimize cell map computation.
d7669650 Use requested grid in VertexClustering worklet.
0472dc11 Fix warning on Cuda.
3f4e17e2 Add field mapping to VertexClustering.
...
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !960
This is a bit counterintuitive, but choosing a random point from each
cluster rather than averaging them gives a better visual result. The
averages poorly represent an surface that runs through the grid block and
tends to bias the output points towards the center of each block, creating
very noticeable grid artifacts that look blocky.
This is to match the default behavior of vtkQuadricClustering. If we
want to add this functionality back, it should go into the filter as
an option that adjusts nDivisions before calling the worklet.
Rob noticed a degridation in performance in some worklet tests when
ArrayCopy was added. I hypothesize that this slowdown is doing the array
copy with TBB instead of serial in the serial tests. (There have been
some checks in the existing code to suggest that some operations in TBB
can be slower than serial.) This change forces the array copy to be on
the device for which we are testing.
1147edb1 MarchingCubes now uses Gradient fast paths when possible.
d7d5da4f More changes to Neighborhood code to make it more easy to use.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Sujin Philip <sujin.philip@kitware.com>
Merge-request: !916
This ensures that the order of the values presented to the
WorkletReduceByKey functor is consistent.
After this change, the key array used to build the worklet::Keys object
is no longer modified. The sorted keys can be obtained by using permuting
the input keys with Keys::GetSortedValuesMap().
There are still some warnings left:
* Some text in markdown files are incorrectly picked up as
doxygen commands
* ArrayPortalTransform weirdly inherits from a specialized
version of itself. It's technically correct C++ code, but
gives doxygen fits.
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.
bd742fc6 Allow Threshold::Run to work on dynamic cell sets
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Sujin Philip <sujin.philip@kitware.com>
Merge-request: !925
In case where the number of steps taken by each particle is explicitly
provided, code to initialize the arrays for steps and statuses for the
particles was missing.
Added an overloaded version of vtkm::worklet::Threshold::Run that takes
a dynamic cell set instead of a concrete cell set type. This is
implemented by basically moving the CastAndCall from the Threshold
filter to the worklet class. This allows other filters (that might have
similar operations with different predicates) to use the same code. (It
also happens to grately simplify an example for the User's Guide I am
working on.)
Once cell sets use virtual methods, we should be able to collapse code
like this quite a bit anyway.
e9f9a3d8 remove setting of DeveiceAdapter from cosmotools worklet
cdf84ccb Add sample input
6ca2683f Remove the data file for examples
f3766449 Cosmology halo finder
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !919
Running friend of friends algorithm and then NxN most bound particle
after to find halo center. Cosmology center finder running NxN MBP
algorithm followed by a estimator reducing the problem to MxN MBP
to speed up run.
This allows you to defer its construction. The default constructor
will set up the scatter to have 0 inputs and 0 outputs, so using
it will likely quickly reveal an error.
The AverageByKey.h header file had a single function that used the
device adapter algorithm ReduceByKey method to do a simple averaging of
a field. I added a second method that can do an average when given a
vtkm::worklet::Keys object. I expect this to be a common use case as we
implement transforming fields from input to output in many algorithms.
1d5a4d47 Update ExternalFaces worklet to use hashes
fc7b90ac Add hash function
b1e6c1e3 Add method for getting a cononical edge id
8e72dc73 Add method for getting a cononical face id
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !900
99f60c27 Add GameOfLife example to show off WorkletPointNeighborhood3x3x3.
ce803832 Adds WorkletPointNeighborhood and DispatcherPointNeighborhood types.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !864
