Previously, the templated Vec classes had overloaded multiply operators
to allow it to be multiplied by any basic type (float, double, int,
long, char, etc.). This was there to make it easier to multiply a vector
by a scalar without having to jump through introspection hoops for the
component types. However, using them almost always resulted in a
conversion warning on some type of compiler, so I think it is easier
just to remove them.
Also fix some issues that caused the compile to fail when trying to
run some of the math functions on a CUDA device. In particular, CUDA
is picky about using a global const on a device when the const type is
not one of the basic C types.
Fancy Arrays as input to Device Algorithms
Currently working on the general approach to get ArrayHandleZip/Permutation to be handled by all device adapter algorithms.
See merge request !32
Fix compile warnings that come up with the flags
-Wconversion -Wno-sign-conversion
This catches several instances (mostly in the testing framework) where
types are implicitly converted. I expect these changes to fix some of
the warnings we are seeing in MSVC.
I was going to add these flags to the list of extra warning flags, but
unfortunately the Thrust library has several warnings of these types,
and I don't know a good way to turn on the warnings for our code but
turn them off for Thrust.
Also reduced the maximum list size to 15 (which is the current longest
single list we have). Trying to reduce the size of the generated code a
bit, which is getting a little long.
This is a simple version of a dispatcher, but an important one.
Note that there is an issue brought up with UnitTestWorkletMapField in
that there needs to be better ways to specify worklet argument types.
The zip capability allows you to parameter-wise combine two
FunctionInterface objects. The result is another FunctionInterface with
each parameter a Pair containing the respective values of the two
inputs.
Being able to zip allows you to do transforms and invokes on data that
is divided among multiple function interface objects.
Lots of tests have to move values in and out of arrays and check them
against expected values. It is also often the case that these tests are
run on lots of different types. There is some repeated code for
generating known values for particular indices. This change unifies some
of that. This can probably also encourage making more generic tests.
The previous commits had TypeListTagAll containing a subset of Vec
types. This commit adds all possible vectors with 2 to 4 components
containing one of the basic C types.
Providing these types tends to "lock in" the precision of the algorithms
used in VTK-m. Since we are using templating anyway, our templates
should be generic enough to handle difference precision in the data.
Usually the appropriate type can be determined by the data provided. In
the case where there is no hint on the precision of data to use (for
example, in the code that provides coordinates for uniform data), there
is a vtkm::FloatDefault.
Before we assumed that we would only use the basic types specified by
the widths of vtkm::Scalar and vtkm::Id. We want to expand this to make
sure the code works on whatever data precision we need.
Since we want our code to generally handle data of different precision
(for example either float or double) expand the types in our list types
to include multiple precision.
Previously we just hand coded base lists up to 4 entries, which was fine
for what we were using it for. However, now that we want to support base
types of different sizes, we are going to need much longer lists.
There are multiple reasons for this name change:
* The name Tuple conflicts with the boost::Tuple class, which as a
different interface and feature set. This gets confusing, especially
since VTK-m uses boost quite a bit.
* The use of this class is usually (although not always) as a
mathematical vector.
* The vtkm::Scalar and vtkm::Vector* classes are going to go away soon
to better support multiple base data type widths. Having this
abbriviated name will hopefully make the code a bit nicer when these
types have to be explicitly specified.
Also modified the implementation a bit to consolidate some of the code.
In preparation for supporting base types with more widths, add typedefs
for the base types with explicit widths (number of bits).
Also added a IdComponent type that should be used for indices for
components into tuples and vectors. There now should be no reason to use
"int" inside of VTK-m code (especially for indexing). This change cleans
up many of the int types that were used throughout.
It appears that when the Intel compiler is optimizing, constant floating
point values can be slightly different than the same value stored in memory
and never changed. This change uses the test_equal method to compare
these floating point values that might have a slight numeric error.
We made this change a while ago to help with completion in IDEs.
(Completion was matching a bunch of wrapper macros that were almost
never used anywhere.) Most of the changes are in comments, but there are
a few bad macro definitions.
Each type of point coordinates has its own class with the name
PointCoordinates*. Currently there is a PointCoordiantesArray that contains
an ArrayHandle holding the point coordinates and a PointCoordinatesUniform
that takes the standard extent, origin, and spacing for a uniform rectilinear
grid and defines point coordiantes for that. Creating new PointCoordinates
arrays is pretty easy, and we will almost definitely add more. For example,
we should have an elevation version that takes uniform coordinates for
a 2D grid and then an elevation in the third dimension. We can probably
also use a basic composite point coordinates that can build them from
other coordinates.
There is also a DynamicPointCoordinates class that polymorphically stores
an instance of a PointCoordinates class. It has a CastAndCall method that
behaves like DynamicArrayHandle; it can call a functor with an array handle
(possible implicit) that holds the point coordinates.
Provies a list of types in a template like boost::mpl::vector and a
method to call a functor on each type. However, rather than explicitly
list each type, uses tags to identify the list. This provides the
following main advantages:
1. Can use these type lists without creating horrendously long class
names based on them, making compiler errors easier to read. For example,
you would have a typename like MyClass<TypeListTagVectors> instead of
MyClass<TypeList<Id3,Vector2,Vector3,Vector4> > (or worse if variadic
templates are not supported). This is the main motivation for this
implementation.
2. Do not require variadic templates and usually few constructions. That
should speed compile times.
There is one main disadvantage to this approach: It is difficult to get
a printed list of items in a list during an error. If necessary, it
probably would not be too hard to make a template to convert a tag to a
boost mpl vector.