544a078cd Remove use of deprecated policies in examples
06f5119c2 Fix deprecation warning
f29a4712b Correct field types for ComputeMoments filter
a20ec03d0 Disable proxies in filter benchmark
72cd0107e Deprecate Execute with policy
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Robert Maynard <robert.maynard@kitware.com>
Merge-request: !2093
There have been several new features that were merged without
appropriate documentation in the changelogs. This adds some
new changelogs for some of these new features.
The version of `Filter::Execute` that takes a policy as an argument is now
deprecated. Filters are now able to specify their own fields and types,
which is often why you want to customize the policy for an execution. The
other reason is that you are compiling VTK-m into some other source that
uses a particular types of storage. However, there is now a mechanism in
the CMake configuration to allow you to provide a header that customizes
the "default" types used in filters. This is a much more convenient way to
compile filters for specific types.
One thing that filters were not able to do was to customize what cell sets
they allowed using. This allows filters to self-select what types of cell
sets they support (beyond simply just structured or unstructured). To
support this, the lists `SupportedCellSets`, `SupportedStructuredCellSets`,
and `SupportedUnstructuredCellSets` have been added to `Filter`. When you
apply a policy to a cell set, you now have to also provide the filter.
To simplify reproducing docker based CI workers locally, VTK-m has python program that handles all the
work automatically for you.
The program is located in `[Utilities/CI/reproduce_ci_env.py ]` and requires python3 and pyyaml.
To use the program is really easy! The following two commands will create the `build:rhel8` gitlab-ci
worker as a docker image and setup a container just as how gitlab-ci would be before the actual
compilation of VTK-m. Instead of doing the compilation, instead you will be given an interactive shell.
```
./reproduce_ci_env.py create rhel8
./reproduce_ci_env.py run rhel8
```
To compile VTK-m from the the interactive shell you would do the following:
```
> src]# cd build/
> build]# cmake --build .
```
Previously, the PolicyDefault used to compile all the filters was hard-
coded. The problem was that if any external project that depends on VTK-
m needs a different policy, it had to recompile everything in its own
translation units with a custom policy.
This change allows an external project provide a simple header file that
changes the type lists used in the default policy. That allows VTK-m to
compile the filters exactly as specified by the external project.
Currently, VTK-m is using C++11. However, it is often useful to use
features in the `std` namespace that are defined for C++14 or later. We
can provide our own versions (sometimes), but it is preferable to use
the version provided by the compiler if available.
There were already some examples of defining portable versions of C++14
and C++17 classes in a `vtkmstd` namespace, but these were sprinkled
around the source code.
There is now a top level `vtkmstd` directory and in it are header files
that provide portable versions of these future C++ classes. In each
case, preprocessor macros are used to select which version of the class
to use.
Previously, when a ReadPortal or a WritePortal was returned from an
ArrayHandle, it had wrapped in it a Token that was attached to the
ArrayHandle. This Token would prevent other reads and writes from the
ArrayHandle.
This added safety in the form of making sure that the ArrayPortal was
always valid. Unfortunately, it also made deadlocks very easy. They
happened when an ArrayPortal did not leave scope immediately after use
(which is not all that uncommon).
Now, the ArrayPortal no longer locks up the ArrayHandle. Instead, when
an access happens on the ArrayPortal, it checks to make sure that
nothing has happened to the data being accessed. If it has, a fatal
error is reported to the log.
This commit also:
- Removes a corner case not longer used at ArrayPortalGroupVecVariable::get
- Changes doc regarding the number of offset elements in the input
array handler of ConvertNumComponentsToOffsets.
- Updates invokation of make_ArrayGroupVectVariable in multiple files
- Adds its corresponding changelog entry
To get a portal to access ArrayHandle values in the control
environment, you now use the ReadPortal and WritePortal methods.
The portals returned are wrapped in an ArrayPortalToken object
so that the data between the portal and the ArrayHandle are
guaranteed to be consistent.
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);
}
};
