Commit Graph

9 Commits

Author SHA1 Message Date
Yaxun (Sam) Liu 622eaa4a4c [HIP] Support __managed__ attribute
This patch implements codegen for __managed__ variable attribute for HIP.

Diagnostics will be added later.

Differential Revision: https://reviews.llvm.org/D94814
2021-01-22 11:43:58 -05:00
Yaxun (Sam) Liu 1eaad01046 [CUDA][HIP] Let lambda be host device by default
This patch let lambda be host device by default and adds diagnostics for
capturing host variable by reference in device lambda.

Differential Revision: https://reviews.llvm.org/D78655
2020-07-08 13:10:26 -04:00
Artem Belevich c62214da3d [CUDA] add support for the new kernel launch API in CUDA-9.2+.
Instead of calling CUDA runtime to arrange function arguments,
the new API constructs arguments in a local array and the kernels
are launched with __cudaLaunchKernel().

The old API has been deprecated and is expected to go away
in the next CUDA release.

Differential Revision: https://reviews.llvm.org/D57488

llvm-svn: 352799
2019-01-31 21:34:03 +00:00
Justin Lebar 9fdb46e71c [CUDA] Do a better job at detecting wrong-side calls.
Summary:
Move CheckCUDACall from ActOnCallExpr and BuildDeclRefExpr to
DiagnoseUseOfDecl.  This lets us catch some edge cases we were missing,
specifically around class operators.

This necessitates a few other changes:

 - Avoid emitting duplicate deferred diags in CheckCUDACall.

   Previously we'd carefully placed our call to CheckCUDACall such that
   it would only ever run once for a particular callsite.  But now this
   isn't the case.

 - Emit deferred diagnostics from a template
   specialization/instantiation's primary template, in addition to from
   the specialization/instantiation itself.  DiagnoseUseOfDecl ends up
   putting the deferred diagnostics on the template, rather than the
   specialization, so we need to check both.

Reviewers: rsmith

Subscribers: cfe-commits, tra

Differential Revision: https://reviews.llvm.org/D24573

llvm-svn: 283637
2016-10-08 01:07:11 +00:00
Justin Lebar 18e2d82297 [CUDA] Raise an error if a wrong-side call is codegen'ed.
Summary:
Some function calls in CUDA are allowed to appear in
semantically-correct programs but are an error if they're ever
codegen'ed.  Specifically, a host+device function may call a host
function, but it's an error if such a function is ever codegen'ed in
device mode (and vice versa).

Previously, clang made no attempt to catch these errors.  For the most
part, they would be caught by ptxas, and reported as "call to unknown
function 'foo'".

Now we catch these errors and report them the same as we report other
illegal calls (e.g. a call from a host function to a device function).

This has a small change in error-message behavior for calls that were
previously disallowed (e.g. calls from a host to a device function).
Previously, we'd catch disallowed calls fairly early, before doing
additional semantic checking e.g. of the call's arguments.  Now we catch
these illegal calls at the very end of our semantic checks, so we'll
only emit a "illegal CUDA call" error if the call is otherwise
well-formed.

Reviewers: tra, rnk

Subscribers: cfe-commits

Differential Revision: https://reviews.llvm.org/D23242

llvm-svn: 278759
2016-08-15 23:00:49 +00:00
Reid Kleckner a769fd50ba Avoid depending on test inputes that aren't in Inputs
Some people have weird CI systems that run each test subdirectory
independently without access to other parallel trees.

Unfortunately, this means we have to suffer some duplication until Art
can sort out how to share these types.

llvm-svn: 270164
2016-05-20 00:38:25 +00:00
Justin Lebar ba122ab42f [CUDA] Make unattributed constexpr functions implicitly host+device.
With this patch, by a constexpr function is implicitly host+device
unless:

 a) it's a variadic function (variadic functions are not allowed on the
    device side), or
 b) it's preceeded by a __device__ overload in a system header.

The restriction on overloading __host__ __device__ functions on the
basis of their CUDA attributes remains in place, but we use (b) to allow
us to define __device__ overloads for constexpr functions in cmath,
which would otherwise be __host__ __device__ and thus not overloadable.

You can disable this behavior with -fno-cuda-host-device-constexpr.

Reviewers: tra, rnk, rsmith

Subscribers: cfe-commits

Differential Revision: http://reviews.llvm.org/D18380

llvm-svn: 264964
2016-03-30 23:30:21 +00:00
Justin Lebar 3eaaf86397 [CUDA] Report an error if code tries to mix incompatible CUDA attributes.
Summary: Thanks to jhen for helping me figure this out.

Reviewers: tra, echristo

Subscribers: jhen

Differential Revision: http://reviews.llvm.org/D16129

llvm-svn: 257554
2016-01-13 01:07:35 +00:00
Eli Bendersky 3468d9d929 Move all CUDA testing inputs to Inputs/ subdirectory inside the tests.
llvm-svn: 207453
2014-04-28 22:21:28 +00:00