abstracted out execution objects for both tetrahedralize and triangulate and removed the device template requirement from the execution object factory for both classes
cleaned up a logic error texture2d and cleaned how the constructor for execution object was being called. Also, went and cleaned up how the execution object was being created for particle to align it with the same method for creating the execution object.
abstracted out particles into an execution object and a factory that populates said execution object based on its state. removed the facotries dependance on a device adaptor.
In order to make the change from the current way execution obejcts are utilized to the new proposed executionObjectFactory process type checks now has to look for the new execution object factory class to check against.
f025c218 Suppress conversion warning inside Cell Interpolate code
822d4c61 Marching Cubes test doesn't abuse fall through case statements
dac7ab98 Correct a bad memcpy in ColorTable that gcc 7 found
c6726644 Reformat some test code to stop gcc 7.3 from segfaulting.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Utkarsh Ayachit <utkarsh.ayachit@kitware.com>
Merge-request: !1175
This allows for easier host side logic when determining grid and block
sizes, and allows for a smaller library side by moving some logic
into compiled in functions.
Previously, when a Worklet needed a scatter, the scatter object was
stored in the Worklet object. That was problematic because that means
the Scatter, which is a control object, was shoved into the execution
environment.
To prevent that, move the Scatter into the Dispatcher object. The
worklet still declares a ScatterType alias, but no longer has a
GetScatter method. Instead, the Dispatcher now takes a Scatter object in
its constructor. If using the default scatter (ScatterIdentity), the
default constructor is used. If using another type of Scatter that
requires data to set up its state, then the caller of the worklet needs
to provide that to the dispatcher. For convenience, worklets are
encouraged to have a MakeScatter method to help construct a proper
scatter object.
This warning is emitted when the compiler performs an optimization, and wants
you to verify that the presumptions it is making are valid. For this case
we can correctly promise the compiler that the values will not overflow and
the optimizations are correct.
Updated FieldHistogram worklet to support executing the worklet using a
precomputed range. This will be needed for distributed and multiblock
use-cases.
The new and improved vtkm::cont::ColorTable provides a more feature complete
color table implementation that is modeled after
vtkDiscretizableColorTransferFunction. This class therefore supports different
color spaces ( rgb, lab, hsv, diverging ) and supports execution across all
device adapters.
Due to recent changes to remove static arrays that are not supported on
some devices, the function to return all the local point indices on a
face was removed. That left no way to get the structure of cell faces
short of pulling an internal data structure.
This change resurrects a function to get point indices for a face. The
interface for this method has necessarily changed, so I also changed the
corresponding function for getting edge indices.
In some of the tests there was a field that was using a counting array.
This uses an integer as the value type and has a special implicit
storage type. Currently, this is likely to cause problems whenever it
runs into a cast and call of a dynamic array. For now, let's avoid
these.
In the near future we should have expanded virtual method capabilities
that will make it possible to support these atypical arrays.
86bd81de streamline: handle different storage types for fields.
de4e840e enhance filter API
c255c0eb add `vtkm::cont::ConditionalCastAndCall`
54c2d234 Make it easier to iterator over blocks.
d1a59aad Fixes for CrossProduct and DotProduct.
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !1100
Filters now support executing on a dataset to produce a result dataset
with automatic mapping of fields to the output dataset. Fields to map
can be selected using `vtkm::filter::FieldSelection` class, which provides
constructors to map all or no fields, along with a selection of fields.
This updates all tests to use the new filter API.
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.