`vtkm::cont::testing` now initializes with logging enabled and support
for device being passed on the command line, `vtkm::testing` only
enables logging.
Rather than force all dispatchers to be templated on a device adapter,
instead use a TryExecute internally within the invoke to select a device
adapter.
Because this removes the need to declare a device when invoking a
worklet, this commit also removes the need to declare a device in
several other areas of the code.
Previously memory that was allocated outside of VTK-m was impossible to transfer to
VTK-m as we didn't know how to free it. By extending the ArrayHandle constructors
to support a Storage object that is being moved, we can clearly express that
the ArrayHandle now owns memory it didn't allocate.
Here is an example of how this is done:
```cpp
T* buffer = new T[100];
auto user_free_function = [](void* ptr) { delete[] static_cast<T*>(ptr); };
vtkm::cont::internal::Storage<T, vtkm::cont::StorageTagBasic>
storage(buffer, 100, user_free_function);
vtkm::cont::ArrayHandle<T> arrayHandle(std::move(storage));
```
In generic code, it's a pain to use the equality operators since they
requires the ValueType and Storage to match, else the operator is undefined.
This commit adds operators for such comparisons, as well as a unit test.
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.
Previously if you constructed an array handle without allocating it, you
would get an error if you tried to use the array as input. This
conflicted with some recent changes to accept empty vectors.
Now when you try to use an unallocated ArrayHandle as input (calling
PrepareForInput or PrepareForInPlace), it internally calls Allocate(0)
(to establish internal state) and sets up a valid execution ArrayPortal
of size 0.
The implementation was calling PrepareForOutput on the delegate arrays
rather than PrepareForInPlace, do when used with CUDA you did not get
the data on the device.
Also added a regression test to check this.
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.
There were many tests that created code paths for every base and Vec
type that VTK-m supports (up to 4 components). Although this is
admirable, it is also excessive, and our compile times for the tests are
very long.
To shorten compile times, remove the TryAllTypes method. Replace it with
a version of TryTypes that uses a default list of "exemplar" set of
integers, floats, and Vecs.
Add new version of DynamicArrayHandle::CastToArrayHandle
This takes a reference to an array handle and fills it. This removes a lot of the pain of determining template arguments.
See merge request !205
C and C++ has a funny feature where operations on small integers (char
and short) actually promote the result to a 32 bit integer. Most often
in our code the result is pushed back to the same type, and picky compilers
can then give a warning about an implicit type conversion (that we
inevitably don't care about). Here are a lot of changes to suppress
the warnings.
The test was creating a large array on the stack, and this caused a
problem on Windows for some reason. Instead of putting the array on
the stack, use an std::vector. Also reduced the size of the array
used. It seemed unnecessarily large.
Also re-enabled the tests where VTK-m allocates its own ArrayHandle
data.
