The `VariantArrayHandle` will soon be deprecated for its replacement of
`UnknownArrayHandle`. Thus, `Field` and related classes should start
using the new `UnknownArrayHandle`.
C++ template considers some types different even though they have the
exact same format. For example `int`, `long`, and `long long` all match
different types even though they all represent either signed 32-bit ints
or signed 64-bit ints.
List all these possible types in
`TypeListScalarAll`.
Instead, always use precompiled versions of range computing. This means
you won't be able to specify the type. Currently, types are limited to
scalars vecs up to size 4.
The main motivation for this change is to allow you to include Field.h
with a non-device compiler. This is an important feature for our
customers.
I plan in the future to implement a mechanism to pull out a component of
most ArrayHandle's as a single array. This would enable us to support a
precompiled version that can compute the range of arbitrarily sized
Vecs.
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.
ArrayHandleVirtual can automatically be constructed from any ArrayHandle.
In the cases where the input ArrayHandle doesn't derived from ArrayHandleVirtual,
it will automatically construct StorageAny to hold the array.
- Use tao::tuple instead of FunctionInterface to hold array/portal
collections.
- Type signatures are simplified. Now just use:
- ArrayHandleCompositeVector<ArrayT1, ArrayT2, ...>
- make_ArrayHandleCompositeVector(array1, array2, ...)
instead of relying on helper structs to determine types.
- No longer support component selection from an input array. All
input arrays must have the same ValueType (See ArrayHandleSwizzle
and ArrayHandleExtractComponent as the replacements for these
usecases.
This is a convenience method to do a deep copy of an array. This comes
up a lot, but can be a pain if you don't have a specific device adapter
on which to do the copy.
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.
Most uses of ArrayRangeCompute just want to get the range of the data
and probably don't have a particular device in mind. Thus, it is better
to use a TryExecute internally use whatever devices are available.
Note that when using TryExecute, the calling code is expected to be able
to support all devices. That might not always be the case. Thus, I am
experimenting a bit with how we incorporate this in a library. The
advantage of having the code compiled in a library is that you only have
to compile it once and the calling code does not need to worry about
CUDA, etc.
However, because ArrayRangeCompute is templated, we can only pre-compile
some subset of array handle types. The most common are compiled into the
code (matching all the predefined ArrayHandles as well as some special
cases). If the code wants to use some other type, it has to include
ArrayRangeCompute.hxx. The only place where this is necessary is a test
that intentially trys to find the range on an uncommon type.
If array portals were to support virtual methods, then we should be able
to modify this code so that we could precompile for all array handle
types.
There are two versions of ArrayRangeCompute. The first version is a
general version that computes the min and max by running a reduction on
a device. The second version was a specialization for uniform grid
coordinate arrays, which is easily computed without looking at the
values.
The problem was that the generic version of ArrayRangeCompute took two
arguments and the specialization only took one argument (because it does
not need a device). This means that templated code uses the general
version will never use the specialized version. This fix adds a device
argument to the specialized version. The extra argument is not used, but
will properly overload the general version.
