This includes changing methods like LoadDataForInput to PrepareForInput.
It also changed the interface a bit to save a reference to the storage
object. (Maybe it would be better to save a pointer?) These changes also
extend up to the ArrayManagerExecution class, so it can effect device
adapter implementations.
This API change effects both ArrayTransfer and ArrayManagerExecution.
This is in preparation for a future change to make the API more
consistent with ArrayHandle.
The UserPortal in ArrayHandle was used to copy a pointer the user
created into an ArrayHandle to use in VTK-m algorithms. However, this is
only really valid for a basic storage, so the functionality has been
moved there, and you have to construct an ArrayHandle with a storage
instead of an array portal.
Our approach of using the underlying allocator inside thrust was a bad approach,
for some reason it fails to properly allocate uint8's or int8's on the correct
boundaries. I expect that this logic is somewhere else in the code and
instead we should use thrust::system::cuda::vector which does this properly.
Add an Allocate method in ArrayHandle that basically forwards the
alllocate request to the storage object. This allows some measure of
control of the array from the control side. You can allocate the array
and set values (by getting the control array portal) if you so desire.
Previously when ReleaseResourcesExecution was called, the method blindly
deleted the execution array regardless of whether there was a valid copy
in the control environment. This could potentially lose data. What if
someone wanted to conserve memory on the device by clearing the array of
an output array?
There is also now an internal method that blindly deletes the array.
This is good for internal functions that are doing something to
invalidate the execution data anyway.
Fixed a problem where ArrayHandle would cause a crash if you tried to
get the control portal on an uninitialized array (it was supposed to
throw an exception).
Also changed some methods in ArrayHandle so that they work resonably
without error when used with an uninitialized array. Specifically, the
aforementioned behavior was changed to "allocate" an array of size 0
(that is, call Allocate(0) on the storage object) to return an empty
array portal rather than throw an error. Although this use of
ArrayHandle can be considered erroneous, it is convenient the get an
empty array portal when dealing with a potentially unallocated array
rather than create a special condition.
The namespaces need to be different for each test, or else only the first
implementation of the function will be used for all tests that call that
function.
Also updated the test to verify that we can count starting from a non zero
number.
NVCC is unable to handle finding the worklets when they are in an anonymous
namespace. It only looks at the the anonymous namespaces included by the
files that device code uses, and misses our anon namespace. Moving to a named
namespace solves these issues.
They were declared as in both control and execution, but this would
cause problems when the FunctionInterface contained objects that could
only be copied in the control environment. Using these methods probably
only makes sense in the control environment anyway. (They are a bit
heavyweight to use in an inner loop of the execution environment.)
The functors in the ForEach, StaticTransform, and DynamicTransform
methods sometimes can use the index of the parameter that they are
operating on. This can be a helpful diagnostic in compile and run-time
errors. It is also helpful when linking parameters from one
FunctionInterface with those of another.
This new features are now replacing implementations using the Zip
functionality that was removed earlier. The implementation is actually
simplified a bit.
The Zip function does not work when compiling with CUDA because it
forces the parameters to be in both the control and execution (host and
device) environments.
Porting the dax device adapter over to vtkm. Unlike the dax version, doesn't
use the thrust::device_vector, but instead uses thrust::system calls so that
we can support multiple thrust based backends.
Also this has Texture Memory support for input array handles. Some more work
will need to be done to ArrayHandle so that everything works when using an
ArrayHandle inplace with texture memory bindings.
When fixing a problem where the disabled test had left some unused
classes, which some compilers picked up on (SHA
eae8921dc714c9bdb12058db365f890425291ea2), I used a preprocessor wrapper
to enable/disable the code (mostly to preserve history). However, I
forgot to leave the code disabled. Disable that here.
A couple of tests were failing with the Intel compiler due to
imprecision in comparing floating point values.
Also snuck in some minor documentation fixes in a comment for
FunctionInterface.
There is a test that tries to determine that the Invoke methods in
FunctionInterface do not add an unreasonable overhead. However, this
test is unreliable. Also, the most critical performance hit would be in
invoking a worklet operation, but that is now done elsewhere anyway.
The unit test for StorageBasic tested the StealArray feature and then
used the delete[] operator on the stolen array to deallocate it. For
many standard libraries the default implementation for delete[] is
the same as (or at least compatible with) std::allocator, but for
the PGI compiler they were not compatible and this resulted in a
run-time error. This change fixes the problem with the test by using
the same allocator as the StorageBasic test.
ICC can be pretty thorough about finding unused elements. In this case
it was picking up an unused method in instances of a templated class
in an anonymous namespace. It was a method that should be there due to
the nature of the class, but it happened to not be used (which was OK,
too). To get around the problem, I just added some use of that method
in another method.
It's easy to put accidently put something that is not a valid tag in a
ControlSignature or ExecutionSignature. Previously, when you did that
you got a weird error at the end of a very long template instantiation
chain that made it difficult to find the offending worklet.
This adds some type checks when the dispatcher is instantated to check
the signatures. It doesn't point directly to the signature or its
parameter, but it is much closer.
MSVC is picky about type conversions. To get it to shut up, explicitly
cast the worklet return value to the fetch value in the
WorkletInvokeFunctor. The good is that it will help with needing
explicit conversions on these return values. But that is also bad in
that it might make some unexpected conversions possible.
