Also discovered that many C++ compilers have trouble giving warnings
for partial specialization of classes marked as deprecated. Fix
the problem by instead deprecating the items in the class.
The convenience functions `ArrayPortalToIteratorBegin()` and
`ArrayPortalToIteratorEnd()` wouldn't detect specializations of
`ArrayPortalToIterators<PortalType>` since the specializations aren't
visible when the `Begin`/`End` functions are declared.
Since the CUDA iterators rely on a specialization, the convenience
functions would not compile on CUDA.
Now, instead of specializing `ArrayPortalToIterators` to provide custom
iterators for a particular portal, the portal may advertise custom
iterators by defining `IteratorType`, `GetIteratorBegin()`, and
`GetIteratorEnd()`. `ArrayPortalToIterators` will detect such portals
and automatically switch to using the specialized portals.
This eliminates the need for the specializations to be visible to the
convenience functions and allows them to be usable on CUDA.
Previously we relied on CMake's compiler detection module to build the
macros for using the deprecated attribute. However, CMake created macros
for pre-C++14 versions of the feature, which do not work in all cases.
Also, we have the need to be able to suppress deprecation warnings when
we are implementing a deprecated thing. Since we have to query compilers
ourself, we might as well figure out if the deprecated attribute we want
is supported.
Worst case is that we won't support deprecation warnings everywhere we
could. That will not create incorrect code and we can always add that
later.
The `VTKM_DEPRECATED` macro allows us to remove (and usually replace)
features from VTK-m in minor releases while still following the conventions
of semantic versioning. The idea is that when we want to remove or replace
a feature, we first mark the old feature as deprecated. The old feature
will continue to work, but compilers that support it will start to issue a
warning that the use is deprecated and should stop being used. The
deprecated features should remain viable until at least the next major
version. At the next major version, deprecated features from the previous
version may be removed.
If a worklet doesn't explicitly state an ExecutionSignature, VTK-m
assumes the worklet has no return value, and each ControlSignature
argument is passed to the worklet in the same order.
For example if we had this worklet:
```cxx
struct DotProduct : public vtkm::worklet::WorkletMapField
{
using ControlSignature = void(FieldIn, FieldIn, FieldOut);
using ExecutionSignature = void(_1, _2, _3);
template <typename T, vtkm::IdComponent Size>
VTKM_EXEC void operator()(const vtkm::Vec<T, Size>& v1,
const vtkm::Vec<T, Size>& v2,
T& outValue) const
{
outValue = vtkm::Dot(v1, v2);
}
};
```
It can be simplified to be:
```cxx
struct DotProduct : public vtkm::worklet::WorkletMapField
{
using ControlSignature = void(FieldIn, FieldIn, FieldOut);
template <typename T, vtkm::IdComponent Size>
VTKM_EXEC void operator()(const vtkm::Vec<T, Size>& v1,
const vtkm::Vec<T, Size>& v2,
T& outValue) const
{
outValue = vtkm::Dot(v1, v2);
}
};
VTK-m now provides the following filters with the default policy
as part of the vtkm_filter library:
- CellAverage
- CleanGrid
- ClipWithField
- ClipWithImplicitFunction
- Contour
- ExternalFaces
- ExtractStructured
- PointAverage
- Threshold
- VectorMagnitude
By building these as a library we hope to provide faster compile
times for consumers of VTK-m when using common configurations.
05b679250 Merge branch 'master' into tangle_source
a6c044df9 added changelog
0d818701c put VTKM_SOURCE_EXPORT in .cxx
e0aae7d86 remove EXPORT from .cxx
4d7de67ee use VTKM_SOURCE_EXPORT
cd49136d5 add copyright notice, add installation of header
0c094a568 used the Tangle source
aeb8877a9 add newline at EOF, minor change based review
...
Acked-by: Kitware Robot <kwrobot@kitware.com>
Merge-request: !1804
Consumers of VTK-m when enabling of dropping of unused functions
will see VTK-m functions dropped. Previously this didn't happen
as VTK-m didn't build object files with the correct flags for this.
By allowing the linker to remove unused symbols we see a significant
saving the file size of VTK-m tests, examples, and benchmarks.
An OpenMP build of the tests and benchmarks goes from 168MB to
141MB which is roughly a 16% filesize reduction.
Initially I had presumed that these changes would increase link times.
But in measurements the total wall time for compilation of VTK-m has
stayed about the same ( seeing a decrease of 1.5% ). Presumably the
increased computation is offset by the reduction in file writing.
Instead of having to be called for each target you can now
pass multiple targets at once. Do note that if you pass multiple
targets you will need to pass all the sources from those targets
that need to be 'device' compiled.
Rather than do a CastAndCall on all possible field types when calling a
worklet with two fields (where they all typically get cast to the same
type as the primary field), use the new mechanism with
ArrayHandleMultiplexer to create one code path.
Also update the ApplyPolicy to accept the Field type, which is used to
determine any additional storage types to support.
This is done through a new version of ApplyPolicy. This version takes
a type of the array as its first template argument, which must be
specified.
This requires having a list of potential storage to try. It will use
that to construct an ArrayHandleMultiplexer containing all potential
types. This list of storages comes from the policy. A StorageList
item was added to the policy.
Types are automatically converted. So if you ask for a vtkm::Float64 and
field contains a vtkm::Float32, it will the array wrapped in an
ArrayHandleCast to give the expected type.
Added a BaseComponentType to VecTraits that recursively finds the base
(non-Vec) type of a Vec. This is useful when dealing with potentially
nested Vec's (e.g. Vec<Vec<T, M>, N>) and you need to keep the structure
but know the base type.
Also added a couple of templates for keeping the structure but changing
the type. These are ReplaceComponentType and ReplaceBaseComponentType.
These allow you to create new Vec's with the same structure as the query
Vec but with differen component types.
This behaves just like `ScanExclusive`, but rather than returning the
total sum, it is appended to the end of the output array.
This is in preparation for the CellSetExplicit refactoring described in
issue #408.
The `MultiBlock` class has been renamed to `PartitionedDataSet`, and its API
has been refactored to refer to "partitions", rather than "blocks".
Additionally, the `AddBlocks` method has been changed to `AppendPartitions` to
more accurately reflect the operation performed. The associated
`AssignerMultiBlock` class has also been renamed to
`AssignerPartitionedDataSet`.
This change is motivated towards unifying VTK-m's data model with VTK. VTK has
started to move away from `vtkMultiBlockDataSet`, which is a hierarchical tree
of nested datasets, to `vtkPartitionedDataSet`, which is always a flat vector
of datasets used to assist geometry distribution in multi-process environments.
This simplifies traversal during processing and clarifies the intent of the
container: The component datasets are partitions for distribution, not
organizational groupings (e.g. materials).
Ref #405
By removing the ability to have multiple CellSets in a DataSet
we can simplify the following things:
- Cell Fields now don't require a CellSet name when being constructed
- Filters don't need to manage what the active cellset is
For polygon cell shapes (that are not triangles or quadrilaterals),
interpolations are done by finding the center point and creating a
triangle fan around that point. Previously, the gradient was computed in
the same way as interpolation: identifying the correct triangle and
computing the gradient for that triangle.
The problem with that approach is that makes the gradient discontinuous
at the boundaries of this implicit triangle fan. To make things worse,
this discontinuity happens right at each vertex where gradient
calculations happen frequently. This means that when you ask for the
gradient at the vertex, you might get wildly different answers based on
floating point imprecision.
Get around this problem by creating a small triangle around the point in
question, interpolating values to that triangle, and use that for the
gradient. This makes for a smoother gradient transition around these
internal boundaries.
