VTK-m has a deprecation method that supports API changes in minor
releases. When an API change is made, the old API is marked with the
VTKM_DEPRECATED macro. If code attempts to use the old API, it still
works, but the compiler issues a warning that the thing is deprecated
and where to find the new API.
We have recently run into an issue when the API changes have a header
file renamed or moved. We still keep the old header file with the old
API, so code including that file will still work. However, sometimes
code expected the contents of that header file without directly
including that header file. In these cases, the code could get an error
about missing classes.
As an example, consider the change from `DynamicCellSet` to
`UnknownCellSet`/`UncertainCellSet`. The deprecated `DynamicCellSet` is
still around. But there is a lot of code that did not directly include
DynamicCellSet.h. This header file was necessarily included by
DataSet.h. Now, when this code uses `vtkm::cont::DynamicCellSet`, you
get a confusing error that the class does not exist. Backward
compatibility broken.
In response to this, we should be more careful about where we put the
deprecated API. Instead of containing the deprecated API, moved headers
should be empty except for a warning and an inclusion of the new header
file. The deprecated API should be moved to the new header file. For
example, in the case of `DynamicCellSet`, the implementation for the
deprecated `DynamicCellSet` is moved to UnknownCellSet.h, which is
included by anything that was including DynamicCellSet.h before.
Reduces the amount of code that has to be generated. Also improves the
number of arrays supported and has better support for deprecated
versions of `GetRange`.
A large portion of the VTK-m filters are now compiled into the
vtkm_filter library. These pre-built filters now don't include
the respective hxx file to remove the amount of template
instantiation users do.
To verify that this removal reduces compiler memory ( and maybe time)
I profiled the compiler while it building filter tests in debug mode.
Here is a selection of results:
```
CleanGrid 10.25s => 9.01s, 901MB => 795MB
ExternalFaces 13.40s => 5.96s, 1122MB => 744MB
ExtractStructured 4.69s => 4.75s, 492MB => 492MB
GradientExplicit 22.97s => 5.88s, 1296MB => 740MB
```
As we remove more and more virtual methods from VTK-m, I expect several
users will be interested in completely removing them from the build for
several reasons.
1. They may be compiling for hardware that does not support virtual
methods.
2. They may need to compile for CUDA but need shared libraries.
3. It should go a bit faster.
To enable this, a CMake option named `VTKm_NO_DEPRECATED_VIRTUAL` is
added. It defaults to `OFF`. But when it is `ON`, none of the code that
both uses virtuals and is deprecated will be built.
Currently, only `ArrayHandleVirtual` is deprecated, so the rest of the
virtual classes will still be built. As we move forward, more will be
removed until all virtual method functionality is removed.
There is a limitation in Windows builds using VS2019 where libraries cannot be
bigger than 4GiB. This is normally not an issue but in `VTKm` due to its strong
template usage libraries can reach that size.
The `VTKm` filter library is can easily reach that size and it will halt the
build
This MR tries to avoid reaching those sizes for now by splitting the filter
library into four smaller libraries.
The proposal scheme is:
It splits vtkm-filter into:
- vtkm-common, Classes that are dependencies of other filter libs.
- vtkm-contour, Contour class and its instantiations.
- vtkm-contour, Gradient class and its instantiations.
- vtkm-extra, Classes other than Contour or Gradient that are
not dependencies.
Signed-off-by: Vicente Adolfo Bolea Sanchez <vicente.bolea@kitware.com>
Now that the dispatcher does its own TryExecute, filters do not need to
do that. This change requires all worklets called by filters to be able
to execute without knowing the device a priori.
This commit removes `vtkm::filter::Result`. All methods that used
`vtkm::filter::Result` simply change to use `vtkm::cont::Dataset` instead.
The utility API on `Result` that was used to add fields to the resulting
dataset is now available via `vtkm::filter::internal::CreateResult`.
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.
VTK expects that the tensor fields generated by the gradient of a vector field
to have FORTRAN ordering instead of C ordering.
Discovering this actually uncovered bugs in the Vorticity and QCriterion
implementation where they presumed FORTRAN ordering, and would generate
incorrect results.
Basically we can run the gradient worklet and compute the Divergence, Vorticity,
and QCriterion without ever having to store the gradient tensor in global memory
