..and use it to control that parts of CUDA compilation
that depend on the specific version of CUDA SDK.
This patch has a placeholder for a 'new launch API' support
which is in a separate patch. The list will be further
extended in the upcoming patch to support CUDA-10.1.
Differential Revision: https://reviews.llvm.org/D57487
llvm-svn: 352798
Add --cuda-path-ignore-env option to those test cases to ensure the clang
driver always pick the CUDA path specified by --sysroot.
Reviewers: tra, Hahnfeld
Differential Revision: https://reviews.llvm.org/D52259
llvm-svn: 343075
LLVM triple normalization is handling "unknown" and empty components
differently; for example given "x86_64-unknown-linux-gnu" and
"x86_64-linux-gnu" which should be equivalent, triple normalization
returns "x86_64-unknown-linux-gnu" and "x86_64--linux-gnu". autoconf's
config.sub returns "x86_64-unknown-linux-gnu" for both
"x86_64-linux-gnu" and "x86_64-unknown-linux-gnu". This changes the
triple normalization to behave the same way, replacing empty triple
components with "unknown".
This addresses PR37129.
Differential Revision: https://reviews.llvm.org/D50219
llvm-svn: 339294
If the CUDA toolkit is not installed to its default locations
in /usr/local/cuda, the user is forced to specify --cuda-path.
This is tedious and the driver can be smarter if well-known tools
(like ptxas) can already be found in the PATH environment variable.
Add option --cuda-path-ignore-env if the user wants to ignore
set environment variables. Also use it in the tests to make sure
the driver always finds the same CUDA installation, regardless
of the user's environment.
Differential Revision: https://reviews.llvm.org/D42642
llvm-svn: 323848
If the user passes -nocudalib, we can live without it being present.
Simplify the code by just checking whether LibDeviceMap is empty.
Differential Revision: https://reviews.llvm.org/D38901
llvm-svn: 315902
Summary:
Compiling CUDA device code requires us to know the host toolchain,
because CUDA device-side compiles pull in e.g. host headers.
When we only supported Linux compilation, this worked because
CudaToolChain, which is responsible for device-side CUDA compilation,
inherited from the Linux toolchain. But in order to support MacOS,
CudaToolChain needs to take a HostToolChain pointer.
Because a CUDA toolchain now requires a host TC, we no longer will
create a CUDA toolchain from Driver::getToolChain -- you have to go
through CreateOffloadingDeviceToolChains. I am *pretty* sure this is
correct, and that previously any attempt to create a CUDA toolchain
through getToolChain() would eventually have resulted in us throwing
"error: unsupported use of NVPTX for host compilation".
In any case hacking getToolChain to create a CUDA+host toolchain would
be wrong, because a Driver can be reused for multiple compilations,
potentially with different host TCs, and getToolChain will cache the
result, causing us to potentially use a stale host TC.
So that's the main change in this patch.
In addition, we have to pull CudaInstallationDetector out of Generic_GCC
and into a top-level class. It's now used by the Generic_GCC and MachO
toolchains.
Reviewers: tra
Subscribers: rryan, hfinkel, sfantao
Differential Revision: https://reviews.llvm.org/D26774
llvm-svn: 287285
Unless we overload the default gcc toolchain with an empty string
the system root used in the tests will be ignored if the user builds
clang with a custom gcc toolchain.
llvm-svn: 278806
Summary:
There's no point to --cuda-path if we then go and include /usr/include
first. And if you install the right packages, Ubuntu will install (very
old) CUDA headers there.
Reviewers: tra
Subscribers: cfe-commits, Prazek
Differential Revision: https://reviews.llvm.org/D23341
llvm-svn: 278734
Summary: Add test to detect the C++ include paths are passed to both CUDA host and device frontends.
Reviewers: tra
Subscribers: cfe-commits
Differential Revision: https://reviews.llvm.org/D22946
llvm-svn: 278140
Currently it's easy to break CUDA compilation by passing
"-isystem /path/to/cuda/include" to compiler which leads to
compiler including real cuda_runtime.h from there instead
of the wrapper we need.
Renaming the wrapper ensures that we can include the wrapper
regardless of user-specified include paths and files.
Differential Revision: http://reviews.llvm.org/D15534
llvm-svn: 255802
Currently clang requires several additional command
line options in order to enable new features needed
during CUDA compilation. This patch makes these
options default.
* Automatically include cuda_runtime.h if we've found
a valid CUDA installation.
* Disable automatic CUDA header inclusion during unit tests.
* Added test case for command line construction.
* Enabled target overloads and relaxed call checks that are
needed in order to include CUDA headers.
* Added CUDA-7.5 installation path to the CUDA installation search list.
* Define __CUDA__ macro to indicate CUDA compilation.
llvm-svn: 253389
- added detection of libdevice bitcode file and API to find one appropriate for the GPU we're compiling for.
- pass additional cc1 options for linking with detected libdevice bitcode
- added -nocudalib to prevent automatic linking with libdevice
- added test cases to verify new functionality
Differential Revision: http://reviews.llvm.org/D14556
llvm-svn: 253387
In order to compile a CUDA file clang must be able to find
include files for both both host and device.
This patch passes AuxToolchain to AddPreprocessingOptions and
uses it to add include paths for the opposite side of compilation.
We also must be able to find CUDA include files. If the driver
found CUDA installation, it adds appropriate include path
to CUDA headers. This can be disabled with '-nocudainc'.
- Added include paths for the opposite side of compilation.
- Added include paths to detected CUDA installation.
- Added -nocudainc to prevent adding CUDA include path.
- Added test cases to verify new functionality.
Differential Revision: http://reviews.llvm.org/D13170
llvm-svn: 253386
Added new option --cuda-path=<path> which allows
overriding default search paths.
If it's not specified we look for CUDA installation in
/usr/include/cuda and /usr/include/cuda-7.0.
Differential Revision: http://reviews.llvm.org/D12989
llvm-svn: 248433
Added new option --cuda-path=<path> which allows
overriding default search paths.
If it's not specified we look for CUDA installation in
/usr/include/cuda and /usr/include/cuda-7.0.
Differential Revision: http://reviews.llvm.org/D12989
llvm-svn: 248408
Eric Liu