a339f3ac Had to rewrite tbb reduce to correct all the problems.
0120157e Correct tbb reduction algorithm to be correct when using multiple threads.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !654
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.
CellSetExplicit had a constructor that took a single argument that is
the number of points in the data and another constructor that had two
arguments of the number of points and the name. The problem was that the
latter constructor had a default argument for the second argument. Thus,
if you tried to construct a CellSetExplicit with just the number of
points, it would fail to compile because the compiler would not know
which constructor to use.
Fix the issue by removing the single argument constructor.
98c8cb86 Do not attempt to execute CUDA kernels with no blocks
fda3ec71 Don't call std functions in math nonfinte functions for CUDA
55c159d6 Check error codes from CUDA functions
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !632
While writing a test I noticed that some of the MakeTestDataSet
hexahedrons had improper point ordering. It was close but backwards so
that all the faces pointed in instead of out.
I noticed that when I attempted to execute a CUDA kernel with 0 blocks,
it generated a CUDA error. The error did not really matter since nothing
was really supposed to run anyway. However, once we are careful about
checking CUDA errors, it will cause test failures and likely other
misdiagnoses.
854e298b CellAverage filter now verifies the field is a point field.
b85cb2dd Add a PointAverage Filter.
daa75d74 Add a PointAverage worklet which is the twin to CellAverage.
839d8e83 CellAverage first control parameter is now the cellset.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !636
Most functions in the CUDA runtime API return an error code that must be
checked to determine whether the operation completed successfully. Most
operations in VTK-m just called the function and assumed it completed
correctly, which could lead to further errors. This change wraps most
CUDA calls in a VTKM_CUDA_CALL macro that checks the error code and
throws an exception if the call fails.
8a93ecc4 code alignment tweaks.
6fa448b5 Remove the 1D camera. 1D plots will use a 2D camera.
52aa9b9a Fix some compile errors.
23d8d585 Add explicit 1D rendering. Also added some data model suport.
db522c4c Add GetCanvas calls to the mapper classes.
87b1cdca cleanup. Remove some compiler warnings.
d38e6270 Support for 1D rendering.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !616
b97b4cc7 Allow thrust::reduce to work when iterator and initial value types differ.
64bcc343 Refactor MinAndMax to use vtkm::Vec<T,2> instead of Pair.
8d60ed57 Refactor MinAndMax to be a shared binary operator.
18375b54 Update Bound computations to always use a single Reduce call
2cfc9743 Reduce can support reduce to a T type that isn't the arrayhandles T type.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !614
6b1094c7 Consistently include windows.h by making a wrapper header.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Kenneth Moreland <kmorel@sandia.gov>
Merge-request: !620
We previously included windows.h in numerous locations using different
techniques to guard against bringing in parts of the file that are bad
(min/max macros, etc). This solves the problem by consistently using
vtkm/internal/Windows.h to setup everything.
natively thrust::reduce is unable to handle the use case where the
iterator type and the initial value/return value are two different
types. We use array handle cast to work around this problem when
we detect this usecase.
CUDA has some strange rules about using private classes and anonymous
namespaces. For whatever reason, recent changes have introduced such an
issue. When compiling on CUDA, expose the problematic class. It is
testing code, so it does not matter much.
This is a fancy array handle that can group entries in another array by
arbitrary amounts. This allows us to implement input and output arrays
with a different sized Vec for each instance. This is necessary for
generating new topologies with cells of different types.
Changing the macros of the methods of ArrayPortalStreaming to be only
for CONT (the control environment) rather than both CONT and EXEC (both
the control and export environments). ArrayPortalStreaming is really
only used in the control environment and passed to the default transport
where the data is copied to the execution environment.
My hope is that this change will eliminate some rather odd and non-
descriptive warnings on the dashboard.
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
35a81df0 change variable names to avoid confusion
b2719157 simplify functions to get the approximation and detail coefficients length
d7e94e3a update 2D idwt to not assign zero to the last element of cDTemp
568bd63f fix a few warnings
514dcf4b see if unused warning shows up
30660bf4 fix comments by Rob
97118931 improved error message when test failing
9b45dba3 fix 2 warnings
...
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !577
