Commit Graph

11 Commits

Author SHA1 Message Date
Justin Lebar d3fd70dedd [CUDA] Rework tests now that we emit deferred diagnostics during sema. Test-only change.
Summary:
Previously we had to split out a lot of our tests into a test that
checked only immediate errors and a test that checked only deferred
errors.  This was because, if you emitted any immediate errors, we
wouldn't run codegen, where the deferred errors were emitted.

We've fixed this, and now emit deferred errors during sema.  This lets
us merge a bunch of tests, and lets us convert some other tests to
-fsyntax-only.

Reviewers: tra

Subscribers: cfe-commits

Differential Revision: https://reviews.llvm.org/D25755

llvm-svn: 284553
2016-10-19 00:06:49 +00:00
Justin Lebar 23d954241b [CUDA] Emit deferred diagnostics during Sema rather than during codegen.
Summary:
Emitting deferred diagnostics during codegen was a hack.  It did work,
but usability was poor, both for us as compiler devs and for users.  We
don't codegen if there are any sema errors, so for users this meant that
they wouldn't see deferred errors if there were any non-deferred errors.
For devs, this meant that we had to carefully split up our tests so that
when we tested deferred errors, we didn't emit any non-deferred errors.

This change moves checking for deferred errors into Sema.  See the big
comment in SemaCUDA.cpp for an overview of the idea.

This checking adds overhead to compilation, because we have to maintain
a partial call graph.  As a result, this change makes deferred errors a
CUDA-only concept (whereas before they were a general concept).  If
anyone else wants to use this framework for something other than CUDA,
we can generalize at that time.

This patch makes the minimal set of test changes -- after this lands,
I'll go back through and do a cleanup of the tests that we no longer
have to split up.

Reviewers: rnk

Subscribers: cfe-commits, rsmith, tra

Differential Revision: https://reviews.llvm.org/D25541

llvm-svn: 284158
2016-10-13 20:52:12 +00:00
Justin Lebar 0254c46300 [CUDA] Make touching a kernel from a __host__ __device__ function a deferred error.
Previously, this was an immediate, don't pass go, don't collect $200
error.  But this precludes us from writing code like

  __host__ __device__ void launch_kernel() {
    kernel<<<...>>>();
  }

Such code isn't wrong, following our notions of right and wrong in CUDA,
unless it's codegen'ed.

llvm-svn: 283963
2016-10-12 01:30:08 +00:00
Justin Lebar e060feb7b1 [CUDA] Disallow overloading destructors.
Summary:
We'd attempted to allow this, but turns out we were doing a very bad
job.  :)

Making this work properly would be a giant change in clang.  For
example, we'd need to make CXXRecordDecl::getDestructor()
context-sensitive, because the destructor you end up with depends on
where you're calling it from.

For now (and hopefully for ever), just disallow overloading of
destructors in CUDA.

Reviewers: rsmith

Subscribers: cfe-commits, tra

Differential Revision: https://reviews.llvm.org/D24571

llvm-svn: 283120
2016-10-03 16:48:23 +00:00
Artem Belevich bed18e9cc4 [CUDA] Do not merge CUDA target attributes.
CUDA target attributes are used for function overloading and must not be merged.

This fixes a bug where attributes were inherited during function template
specialization in CUDA and made it impossible for specialized function
to provide its own target attributes.

Differential Revision: https://reviews.llvm.org/D24522

llvm-svn: 281406
2016-09-13 22:16:30 +00:00
Justin Lebar 25c4a81e79 [CUDA] Remove three obsolete CUDA cc1 flags.
Summary:
* -fcuda-target-overloads

  Previously unconditionally set to true by the driver.  Necessary for
  correct functioning of the compiler -- our CUDA headers wrapper won't
  compile without this.

* -fcuda-disable-target-call-checks

  Previously unconditionally set to true by the driver.  Necessary to
  compile almost any external CUDA code -- almost all libraries assume
  that host+device code can call host or device functions.

* -fcuda-allow-host-calls-from-host-device

  No effect when target overloading is enabled.

Reviewers: tra

Subscribers: rsmith, cfe-commits

Differential Revision: http://reviews.llvm.org/D18416

llvm-svn: 264739
2016-03-29 16:24:16 +00:00
Justin Lebar e5eed04d52 [CUDA] Merge most of CodeGenCUDA/function-overload.cu into SemaCUDA/function-overload.cu.
Summary:
Previously we were using the codegen test to ensure that we choose the
right overload.  But we can do this within sema, with a bit of
cleverness.

I left the constructor/destructor checks in CodeGen, because these
overloads (particularly on the destructors) are hard to check in Sema.

Reviewers: tra

Subscribers: cfe-commits

Differential Revision: http://reviews.llvm.org/D18386

llvm-svn: 264207
2016-03-23 22:42:30 +00:00
Justin Lebar e82caa3055 [CUDA] Simplify SemaCUDA/function-overload.cu test.
Summary:
Principally, don't hardcode the line numbers of various notes.  This
lets us make changes to the test without recomputing linenos everywhere.

Instead, just tell -verify that we may get 0 or more notes pointing to
the relevant function definitions.  Checking that we get exactly the
right note isn't so important (and anyway is checked elsewhere).

Reviewers: tra

Subscribers: cfe-commits

Differential Revision: http://reviews.llvm.org/D18385

llvm-svn: 264206
2016-03-23 22:42:28 +00:00
Artem Belevich 1ef9b59284 [CUDA] do not allow attribute-based overloading for __global__ functions.
__global__ functions are present on both host and device side,
so providing __host__ or __device__ overloads is not going to
do anything useful.

llvm-svn: 261778
2016-02-24 21:54:45 +00:00
Artem Belevich 186091094a [CUDA] Tweak attribute-based overload resolution to match nvcc behavior.
This is an artefact of split-mode CUDA compilation that we need to
mimic. HD functions are sometimes allowed to call H or D functions. Due
to split compilation mode device-side compilation will not see host-only
function and thus they will not be considered at all. For clang both H
and D variants will become function overloads visible to
compiler. Normally target attribute is considered only if C++ rules can
not determine which function is better. However in this case we need to
ignore functions that would not be present during current compilation
phase before we apply normal overload resolution rules.

Changes:
* introduced another level of call preference to better describe
  possible call combinations.
* removed WrongSide functions from consideration if the set contains
  SameSide function.
* disabled H->D, D->H and G->H calls. These combinations are
  not allowed by CUDA and we were reluctantly allowing them to work
  around device-side calls to math functions in std namespace.
  We no longer need it after r258880.

Differential Revision: http://reviews.llvm.org/D16870

llvm-svn: 260697
2016-02-12 18:29:18 +00:00
Artem Belevich 94a55e8169 [CUDA] Allow function overloads in CUDA based on host/device attributes.
The patch makes it possible to parse CUDA files that contain host/device
functions with identical signatures, but different attributes without
having to physically split source into host-only and device-only parts.

This change is needed in order to parse CUDA header files that have
a lot of name clashes with standard include files.

Gory details are in design doc here: https://goo.gl/EXnymm
Feel free to leave comments there or in this review thread.

This feature is controlled with CC1 option -fcuda-target-overloads
and is disabled by default.

Differential Revision: http://reviews.llvm.org/D12453

llvm-svn: 248295
2015-09-22 17:22:59 +00:00