The `VecTraits` class allows templated functions, methods, and classes to
treat type arguments uniformly as `Vec` types or to otherwise differentiate
between scalar and vector types. This only works for types that `VecTraits`
is defined for.
The `VecTraits` templated class now has a default implementation that will
be used for any type that does not have a `VecTraits` specialization. This
removes many surprise compiler errors when using a template that, unknown
to you, has `VecTraits` in its implementation.
One potential issue is that if `VecTraits` gets defined for a new type, the
behavior of `VecTraits` could change for that type in backward-incompatible
ways. If `VecTraits` is used in a purely generic way, this should not be an
issue. However, if assumptions were made about the components and length,
this could cause problems.
Fixes#589
The precompiled `ArrayRangeCompute` function was not following proper fast
paths for special arrays. For example, when computing the range of an
`ArrayHandleUniformPointCoordinates`, the ranges should be taken from the
origin and spacing of the special array. However, the precompiled version
was calling the generic range computation, which was doing an unnecessary
reduction over the entire array. These fast paths have been fixed.
These mistakes in the code were caused by quirks in how templated method
overloading works. To prevent this mistake from happening again in the
precompiled `ArrayRangeCompute` function and elsewhere, all templated forms
of `ArrayRangeCompute` have been deprecated. Most will call
`ArrayRangeCompute` with no issues. For those that need the templated
version, `ArrayRangeComputeTemplate` replaces the old templated
`ArrayRangeCompute`. There is exactly one templated declaration of
`ArrayRangeComputeTemplate` that uses a class, `ArrayRangeComputeImpl`,
with partial specialization to ensure the correct form is used.
`vtkm::cont::DataSet` is a dynamic object that can hold cell sets and
fields of many different types, none of which are known until runtime. This
causes a problem with serialization, which has to know what type to compile
the serialization for, particularly when unserializing the type at the
receiving end. The original implementation "solved" the problem by creating
a secondary wrapper object that was templated on types of field arrays and
cell sets that might be serialized. This is not a great solution as it
punts the problem to algorithm developers.
This problem has been completely solved for fields, as it is possible to
serialize most types of arrays without knowing their type now. You still
need to iterate over every possible `CellSet` type, but there are not that
many `CellSet`s that are practically encountered. Thus, there is now a
direct implementation of `Serialization` for `DataSet` that covers all the
data types you are likely to encounter.
The old `SerializableDataSet` has been deprecated. In the unlikely event an
algorithm needs to transfer a non-standard type of `CellSet` (such as a
permuted cell set), it can use the replacement `DataSetWithCellSetTypes`,
which just specifies the cell set types.
The `UnknownArrayHandle` has been updated to allow
`ArrayHandleRuntimeVec` to work interchangeably with basic
`ArrayHandle`. If an `ArrayHandleRuntimeVec` is put into an
`UnknownArrayHandle`, it can be later retrieved as an `ArrayHandleBasic`
as long as the base component type matches and it has the correct amount
of components. This means that an array can be created as an
`ArrayHandleRuntimeVec` and be used with any filters or most other
features designed to operate on basic `ArrayHandle`s. Likewise, an array
added as a basic `ArrayHandle` can be retrieved in an
`ArrayHandleRuntimeVec`. This makes it easier to pull arrays from VTK-m
and place them in external structures (such as `vtkDataArray`).
The new `ArrayHandleRuntimeVec` is a fancy `ArrayHandle` allows you to
specify a basic array of `Vec`s where the number of components of the `Vec`
are not known until runtime. (It can also optionally specify scalars.) The
behavior is much like that of `ArrayHandleGroupVecVariable` except that its
representation is much more constrained. This constrained representation
allows it to be automatically converted to an `ArrayHandleBasic` with the
proper `Vec` value type. This allows one part of code (such as a file
reader) to create an array with any `Vec` size, and then that array can be
fed to an algorithm that expects an `ArrayHandleBasic` of a certain value
type.
While updating the user's guide, I noticed a couple of minor problems
with how filters map fields. First, if a filter was using
`CreateResultCoordinateSystem`, it did not respect the
`PassCoordinateSystems` flag. Second, if both an `initializer_list` and
a mode was given to `SetFieldsToPass`, the mode was captured
incorrectly. Both problems are corrected.
The `GetNumberOfComponents` and `GetNumberOfComponentsFlat` methods in
`UnknownArrayHandle` have been updated to correctly report the number of
components in special `ArrayHandle`s where the `Vec` sizes of the values
are not selected until runtime.
Previously, these methods always reported 0 because the value type could
not report the size of the `Vec`. The lookup has been modified to query the
`ArrayHandle`'s `Storage` for the number of components where supported.
Note that this only works on `Storage` that provides a method to get the
runtime `Vec` size. If that is not provided, as will be the case if the
number of components can vary from one value to the next, it will still
report 0.
This feature is implemented by looking for a method named
`GetNumberOfComponents` is the `Storage` class for the `ArrayHandle`. If
this method is found, it is used to query the size at runtime.
Previously, `VectorMagnitude` only worked with `Vec`s of size 2, 3, or
4. It now works with `Vec`s of any size. It also avoids a memory copy of
non-float types (although it does add a little arithmetic in the
computation).
Previously, the probe filter only worked on certain `Vec` sizes and
converted many types to floating point.
This change uses the extract component feature to pull data from any
array at its natural component type.
The bad part of this change is that it has to call the worklet
separately for each component in the field. That adds overhead and
probably lowers the cache efficiency. It was implemented this way
because the cell interpolation function does not work with the
recombined vecs returned from extract array.
The previous version of the `PointAverage` filter used a float fallback
to handle most array types. The problem with this approach other than
converting field types perhaps unexpectantly is that it does not work
with every `Vec` size. This change uses the extract by component feature
of `UnknownArrayHandle` to handle every array type.
To implement this change the `PointAverage` worklet had to be changed to
handle recombined vecs. This change resulted in a feature degridation
where it can no longer be compiled for inputs of incompatible `Vec`
sizes. This feature dates back to when worklets like this were exposed
in the interface. This worklet class is now hidden away from the exposed
interface, so this degredation should not affect end users. There are
some unit tests that use this worklet to test other features, and these
had to be updated.
The previous version of the `CellAverage` filter used a float fallback
to handle most array types. The problem with this approach other than
converting field types perhaps unexpectantly is that it does not work
with every `Vec` size. This change uses the extract by component feature
of `UnknownArrayHandle` to handle every array type.
To implement this change the `CellAverage` worklet had to be changed to
handle recombined vecs. This change resulted in a feature degridation
where it can no longer be compiled for inputs of incompatible `Vec`
sizes. This feature dates back to when worklets like this were exposed
in the interface. This worklet class is now hidden away from the exposed
interface, so this degredation should not affect end users. There are
some unit tests that use this worklet to test other features, and these
had to be updated.
Use the `MapFieldPermutation` function when mapping point coordinates
for points that are removed. (This function was already being used for
the rest of the fields.) Also remove some unneeded code in the
`CleanGrid` worklets.
719d347fd Update contour filter's field map to work on any field type
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Sujin Philip <sujin.philip@kitware.com>
Merge-request: !2973
Use the extract component functionality to get data from any type of
array. This prevents converting fields to `vtkm::DefaultFloat` and
supports any size `Vec` in the component.
The previous implementation of the map field in the clip filters
(`ClipWithField` and `ClipWithImplicitFunction`) checked for common field
types and interpolated those. If the field value type did not match, it
would either convert the field to floats (which is at odds with what VTK
does) or fail outright if the `Vec` length is not supported.
The map field function for clip has been changed to support all possible
types. It does this by using the extract component functionality to get
data from any type of array.
When you use an `ArrayHandle` as an output array in a worklet (for example,
as a `FieldOut`), the fetch operation does not read values from the array
during the `Load`. Instead, it just constructs a new object. This makes
sense as an output array is expected to have garbage in it anyway.
This is a problem for some special arrays that contain `Vec`-like objects
that are sized dynamically. For example, if you use an
`ArrayHandleGroupVecVariable`, each entry is a dynamically sized `Vec`. The
array is referenced by creating a special version of `Vec` that holds a
reference to the array portal and an index. Components are retrieved and
set by accessing the memory in the array portal. This allows us to have a
dynamically sized `Vec` in the execution environment without having to
allocate within the worklet.
The problem comes when we want to use one of these arrays with `Vec`-like
objects for an output. The typical fetch fails because you cannot construct
one of these `Vec`-like objects without an array portal to bind it to. In
these cases, we need the fetch to create the `Vec`-like object by reading
it from the array. Even though the data will be garbage, you get the
necessary buffer into the array (and nothing more).
Previously, the problem was fixed by creating partial specializations of
the `Fetch` for these `ArrayHandle`s. This worked OK as long as you were
using the array directly. However, the approach failed if the `ArrayHandle`
was wrapped in another `ArrayHandle` (for example, if an `ArrayHandleView`
was applied to an `ArrayHandleGroupVecVariable`).
To get around this problem and simplify things, the basic `Fetch` for
direct output arrays is changed to handle all cases where the values in the
`ArrayHandle` cannot be directly constructed. A compile-time check of the
array's value type is checked with `std::is_default_constructible`. If it
can be constructed, then the array is not accessed. If it cannot be
constructed, then it grabs a value out of the array.
This feature enables the ability to anonomously create an array (such as
with `UnknownArrayHandle::NewInstance()`) and then use that as an output
array. Although resizing `ArrayHandleStride` is a little wonky, it
allows worklets to resize them after creation rather than having to know
what size to make and allocating the array.
The fields in a `DataSet` are indexed from `0` to `GetNumberOfFields() - 1`.
It is natural to assume that the fields will be indexed in the order that
they are added, but they are not. Rather, the indexing is arbitrary and can
change any time a field is added to the dataset.
To make this more clear, Doxygen documentation is added to the `DataSet`
methods to inform users to not make any assumptions about the order of
field indexing.
The member variables of the `vtkm::Particle` classes are now hidden. This
means that external code will not be directly able to access member
variables like `Pos`, `Time`, and `ID`. Instead, these need to be retrieved
and changed through accessor methods.
This follows standard C++ principles. It also helps us future-proof the
classes. It means that we can provide subclasses or alternate forms of
`Particle` that operate differently. It also makes it possible to change
interfaces while maintaining a deprecated interface.
Added a name option that allows the same benchmark executable to be used
in multiple benchmark tests. This allows the benchmarks to be separated.
Also added an option to pass customized arguments to the benchmark
executable to overwrite the default values.
aa7b83bb2 Handle random seed generation better for PerlinNoise
84bc72312 Make source parameters more clear
Acked-by: Kitware Robot <kwrobot@kitware.com>
Acked-by: Li-Ta Lo <ollie@lanl.gov>
Merge-request: !2933
During the VTK-m 1.8 and 1.9 development, the filter infrastructure was
overhauled. Part of this created a completely new set of base classes. To
avoid confusion with the original filter base classes and ease transition,
the new filter base classes were named `NewFilter*`. Eventually after all
filters were transitioned, the old filter base classes were deprecated.
With the release of VTK-m 2.0, the old filter base classes are removed. The
"new" filter base classes are no longer new. Thus, they have been renamed
simply `Filter` (and `FilterField`).
Originally, most of the sources used constructor parameters to set the
various options of the source. Although convenient, it was difficult to
keep track of what each parameter meant. To make the code more clear,
source parameters are now set with accessor functions (e.g.
`SetPointDimensions`). Although this makes code more verbose, it helps
prevent mistakes and makes the changes more resilient to future changes.
With the major revision 2.0 of VTK-m, many items previously marked as
deprecated were removed. If updating to a new version of VTK-m, it is
recommended to first update to VTK-m 1.9, which will include the deprecated
features but provide warnings (with the right compiler) that will point to
the replacement code. Once the deprecations have been fixed, updating to
2.0 should be smoother.
Previously, `DataSet` managed `CoordinateSystem`s separately from `Field`s.
However, a `CoordinateSystem` is really just a `Field` with some special
attributes. Thus, coordiante systems are now just listed along with the
rest of the fields, and the coordinate systems are simply strings that
point back to the appropriate field. (This was actually the original
concept for `DataSet`, but the coordinate systems were separated from
fields for some now obsolete reasons.)