This patch replaces uses of StringRef::{starts,ends}with with
StringRef::{starts,ends}_with for consistency with
std::{string,string_view}::{starts,ends}_with in C++20.
I'm planning to deprecate and eventually remove
StringRef::{starts,ends}with.
This patch renames the `OpenMPIRBuilderConfig` flags to reduce confusion over
their meaning. `IsTargetCodegen` becomes `IsGPU`, whereas `IsEmbedded` becomes
`IsTargetDevice`. The `-fopenmp-is-device` compiler option is also renamed to
`-fopenmp-is-target-device` and the `omp.is_device` MLIR attribute is renamed
to `omp.is_target_device`. Getters and setters of all these renamed properties
are also updated accordingly. Many unit tests have been updated to use the new
names, but an alias for the `-fopenmp-is-device` option is created so that
external programs do not stop working after the name change.
`IsGPU` is set when the target triple is AMDGCN or NVIDIA PTX, and it is only
valid if `IsTargetDevice` is specified as well. `IsTargetDevice` is set by the
`-fopenmp-is-target-device` compiler frontend option, which is only added to
the OpenMP device invocation for offloading-enabled programs.
Differential Revision: https://reviews.llvm.org/D154591
In file 'clang/lib/Basic/Targets.cpp' the function 'AllocateTarget' had a raw pointer as a return type, which have been wrapped in the 'std::unique_ptr' in all usages.
This commit changes the signature of the function to return an instance of 'std::unique_ptr' directly.
Reviewed By: DavidSpickett
Differential Revision: https://reviews.llvm.org/D148574
We can now target the NVPTX architecture directly via
`--target=nvptx64-nvidia-cuda`. This currently does not define the
`__CUDA_ARCH__` macro with is used to allow code to target different
codes based on support. This patch simply adds this support.
Reviewed By: tra, jdoerfert
Differential Revision: https://reviews.llvm.org/D146975
Since Clang 16.0.0 users can target the `NVPTX` architecture directly
via `--target=nvptx64-nvidia-cuda`. However, this does not set the
atomic inlining size correctly. This leads to spurious warnings and
emission of runtime atomics that are never implemented. This patch
ensures that we set this to the appropriate pointer width. This will
always be 64 in the future as `nvptx64` will only be supported moving
forward.
Fixes: https://github.com/llvm/llvm-project/issues/61410
Reviewed By: tra
Differential Revision: https://reviews.llvm.org/D146750
Reorganize clang::Builtin::Info to have them naturally align on 4 bytes
boundaries.
Instead of storing builtin headers as a straight char pointer, enumerate
them and store the enum. It allows to use a small enum instead of a
pointer to reference them.
On a 64 bit machine, this brings sizeof(clang::Builtin::Info) from 56
down to 48 bytes.
On a release build on my Linux 64 bit machine, it shrinks the size of
libclang-cpp.so by 193kB.
The impact on performance is negligible in terms of instruction count,
but the wall time seems better, see
https://llvm-compile-time-tracker.com/compare.php?from=b3d8639f3536a4876b511aca9fb7948ff9266cee&to=a89b56423f98b550260a58c41e64aff9e56b76be&stat=task-clock
Differential Revision: https://reviews.llvm.org/D142024
Mixing LLVM and Clang address spaces can result in subtle bugs, and there
is no need for this hook to use the LLVM IR level address spaces.
Most of this change is just replacing zero with LangAS::Default,
but it also allows us to remove a few calls to getTargetAddressSpace().
This also removes a stale comment+workaround in
CGDebugInfo::CreatePointerLikeType(): ASTContext::getTypeSize() does
return the expected size for ReferenceType (and handles address spaces).
Differential Revision: https://reviews.llvm.org/D138295
Recent Clang changes expose _bf16 types for SSE2-enabled host compilations and
that makes those types visible furing GPU-side compilation, where it currently
fails with Sema complaining that __bf16 is not supported.
Considering that __bf16 is a storage-only type, enabling it for NVPTX if it's
enabled on the host should pose no issues, correctness-wise.
Recent NVIDIA GPUs have introduced bf16 support, so we'll likely grow better
support for __bf16 on NVPTX going forward.
Differential Revision: https://reviews.llvm.org/D136311
Currently we define the `__CUDA_ARCH__` macro only in CUDA mode. This
patch allows us to use this macro in OpenMP-offloading mode when
targeting NVPTX.
Reviewed By: tra, tianshilei1992
Differential Revision: https://reviews.llvm.org/D125256
This patch enables SPIR-V binary emission for HIP device code via the
HIPSPV tool chain.
‘--offload’ option, which is envisioned in [1], is added for specifying
offload targets. This option is used to override default device target
(amdgcn-amd-amdhsa) for HIP compilation for emitting device code as
SPIR-V binary. The option is handled in getHIPOffloadTargetTriple().
getOffloadingDeviceToolChain() function (based on the design in the
SYCL repository) is added to select HIPSPVToolChain when HIP offload
target is ‘spirv64’.
The HIPActionBuilder is modified to produce LLVM IR at the backend
phase. HIPSPV tool chain expects to receive HIP device code as LLVM
IR so it can run external LLVM passes over them. HIPSPV TC is also
responsible for emitting the SPIR-V binary.
A Cuda GPU architecture ‘generic’ is added. The name is picked from
the LLVM SPIR-V Backend. In the HIPSPV code path the architecture
name is inserted to the bundle entry ID as target ID. Target ID is
expected to be always present so a component in the target triple
is not mistaken as target ID.
Tests are added for checking the HIPSPV tool chain.
[1]: https://lists.llvm.org/pipermail/cfe-dev/2020-December/067362.html
Patch by: Henry Linjamäki
Reviewed by: Yaxun Liu, Artem Belevich, Alexey Bader
Differential Revision: https://reviews.llvm.org/D110622
Remove redundant fields and replace pointer with virtual function
Of fourteen fields, three are dead and four can be computed from the
remainder. This leaves a couple of currently dead fields in place as
they are expected to be used from the deviceRTL shortly. Two of the
fields that can be computed are only used from codegen and require a
log2() implementation so are inlined into codegen instead.
This change leaves the new methods in the same location in the struct
as the previous fields for convenience at review.
Reviewed By: jdoerfert
Differential Revision: https://reviews.llvm.org/D108380
Remove redundant fields and replace pointer with virtual function
Of fourteen fields, three are dead and four can be computed from the
remainder. This leaves a couple of currently dead fields in place as
they are expected to be used from the deviceRTL shortly. Two of the
fields that can be computed are only used from codegen and require a
log2() implementation so are inlined into codegen instead.
This change leaves the new methods in the same location in the struct
as the previous fields for convenience at review.
Reviewed By: jdoerfert
Differential Revision: https://reviews.llvm.org/D108380
[nfc] Replaces enum indices into an array with a struct. Named the
fields to match the enum, leaves memory layout and initialization unchanged.
Motivation is to later safely remove dead fields and replace redundant ones
with (compile time) computation. It should also be possible to factor some
common fields into a base and introduce a gfx10 amdgpu instance with less
duplication than the arrays of integers require.
Reviewed By: ronlieb
Differential Revision: https://reviews.llvm.org/D108339
The patch only plumbs through the option necessary for targeting sm_86 GPUs w/o
adding any new functionality.
Differential Revision: https://reviews.llvm.org/D95974
This differentiates the Ryzen 4000/4300/4500/4700 series APUs that were
previously included in gfx909.
Differential Revision: https://reviews.llvm.org/D90419
Change-Id: Ia901a7157eb2f73ccd9f25dbacec38427312377d
At AMD, in an internal audit of our code, we found some corner cases
where we were not quite differentiating targets enough for some old
hardware. This commit is part of fixing that by adding three new
targets:
* The "Oland" and "Hainan" variants of gfx601 are now split out into
gfx602. LLPC (in the GPUOpen driver) and other front-ends could use
that to avoid using the shaderZExport workaround on gfx602.
* One variant of gfx703 is now split out into gfx705. LLPC and other
front-ends could use that to avoid using the
shaderSpiCsRegAllocFragmentation workaround on gfx705.
* The "TongaPro" variant of gfx802 is now split out into gfx805.
TongaPro has a faster 64-bit shift than its former friends in gfx802,
and a subtarget feature could be set up for that to take advantage of
it. This commit does not make that change; it just adds the target.
V2: Add clang changes. Put TargetParser list in order.
V3: AMDGCNGPUs table in TargetParser.cpp needs to be in GPUKind order,
so fix the GPUKind order.
Differential Revision: https://reviews.llvm.org/D88916
Change-Id: Ia901a7157eb2f73ccd9f25dbacec38427312377d
Currently CUDA/HIP toolchain uses "unknown" as bound arch
for offload action for fat binary. This causes -mcpu or -march
with "unknown" added in HIPToolChain::TranslateArgs or
CUDAToolChain::TranslateArgs.
This causes issue for https://reviews.llvm.org/D88377 since
HIP toolchain needs to check -mcpu in HIPToolChain::TranslateArgs.
The bound arch of offload action for fat binary is not really
used, therefore set it to CudaArch::UNUSED.
Differential Revision: https://reviews.llvm.org/D88524
Summary:
New file include to support platform dependent grid constants. It will be
used by clang, libomptarget plugins, and deviceRTLs to access constant
values consistently and with fast access in the deviceRTLs.
Originally authored by Greg Rodgers (@gregrodgers).
Reviewers: arsenm, sameerds, jdoerfert, yaxunl, b-sumner, scchan, JonChesterfield
Reviewed By: arsenm
Subscribers: llvm-commits, pdhaliwal, jholewinski, jvesely, wdng, nhaehnle, guansong, kerbowa, sstefan1, cfe-commits, ronlieb, gregrodgers
Tags: #clang, #llvm
Differential Revision: https://reviews.llvm.org/D80917
Generate PTX using newer versions of PTX and allow using sm_80 with CUDA-11.
None of the new features of CUDA-10.2+ have been implemented yet, so using these
versions will still produce a warning.
Differential Revision: https://reviews.llvm.org/D77670
According to alignment section in below ARM64 ABI document, MSVC could increase
alignment of global data based on its total size. Clang doesn't do this. Compile
the same symbol into different alignments by Clang and MSVC could cause link
error because some instruction encodings, like 64-bit LDR/STR with immediate,
require the target to be 8 bytes aligned, and linker could choose code stream
with such LDR/STR instruction from MSVC and 4 bytes aligned data from Clang into
final image, which actually cannot be linked together
(see https://bugs.llvm.org/show_bug.cgi?id=41506 for more details).
https://docs.microsoft.com/en-us/cpp/build/arm64-windows-abi-conventions?view=vs-2019#alignment
Differential Revision: https://reviews.llvm.org/D61225
llvm-svn: 359744
These builtins provide access to the new integer and
sub-integer variants of MMA (matrix multiply-accumulate) instructions
provided by CUDA-10.x on sm_75 (AKA Turing) GPUs.
Also added a feature for PTX 6.4. While Clang/LLVM does not generate
any PTX instructions that need it, we still need to pass it through to
ptxas in order to be able to compile code that uses the new 'mma'
instruction as inline assembly (e.g used by NVIDIA's CUTLASS library
https://github.com/NVIDIA/cutlass/blob/master/cutlass/arch/mma.h#L101)
Differential Revision: https://reviews.llvm.org/D60279
llvm-svn: 359248
to reflect the new license.
We understand that people may be surprised that we're moving the header
entirely to discuss the new license. We checked this carefully with the
Foundation's lawyer and we believe this is the correct approach.
Essentially, all code in the project is now made available by the LLVM
project under our new license, so you will see that the license headers
include that license only. Some of our contributors have contributed
code under our old license, and accordingly, we have retained a copy of
our old license notice in the top-level files in each project and
repository.
llvm-svn: 351636
