Summary: These accessors maps directly to the command line option.
Reviewers: steven_wu
Subscribers: cfe-commits
Differential Revision: https://reviews.llvm.org/D29065
llvm-svn: 292960
Summary:
Authored by Senthil Kumar Selvaraj
This patch adds barebones support in Clang for the (experimental) AVR target. It uses the integrated assembler for assembly, and the GNU linker for linking, as lld doesn't know about the target yet.
The DataLayout string is the same as the one in AVRTargetMachine.cpp. The alignment specs look wrong to me, as it's an 8 bit target and all types only need 8 bit alignment. Clang failed with a datalayout mismatch error when I tried to change it, so I left it that way for now.
Reviewers: rsmith, dylanmckay, cfe-commits, rengolin
Subscribers: rengolin, jroelofs, wdng
Differential Revision: https://reviews.llvm.org/D27123
llvm-svn: 291082
This allows us to negate preceding --cuda-gpu-arch=X.
This comes handy when user needs to override default
flags set for them by the build system.
Differential Revision: https://reviews.llvm.org/D27631
llvm-svn: 289287
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
In addition to the preprocessed sources file and reproducer script, also
point to the .crash diagnostic files on Darwin. Example:
PLEASE ATTACH THE FOLLOWING FILES TO THE BUG REPORT:
Preprocessed source(s) and associated run script(s) are located at:
clang-4.0: note: diagnostic msg: /var/folders/bk/1hj20g8j4xvdj5gd25ywhd3m0000gq/T/RegAllocGreedy-238f28.cpp
clang-4.0: note: diagnostic msg: /var/folders/bk/1hj20g8j4xvdj5gd25ywhd3m0000gq/T/RegAllocGreedy-238f28.cache
clang-4.0: note: diagnostic msg: /var/folders/bk/1hj20g8j4xvdj5gd25ywhd3m0000gq/T/RegAllocGreedy-238f28.sh
clang-4.0: note: diagnostic msg: /var/folders/bk/1hj20g8j4xvdj5gd25ywhd3m0000gq/T/RegAllocGreedy-238f28.crash
When no match is found for the .crash, point the user to a directory
where those can be found. Example:
clang-4.0: note: diagnostic msg: Crash backtrace is located in
clang-4.0: note: diagnostic msg: /Users/bruno/Library/Logs/DiagnosticReports/clang-4.0_<YYYY-MM-DD-HHMMSS>_<hostname>.crash
clang-4.0: note: diagnostic msg: (choose the .crash file that corresponds to your crash)
rdar://problem/27286266
llvm-svn: 287262
Summary:
-fembed-bitcode infers -bitcode_bundle to ld64 but it is not correctly
passed when using LTO. LTO is a special case of -fembed-bitcode which
it doesn't require embed the bitcode in a special section in the object
file but it requires linker to save that as part of the final executable.
rdar://problem/29274226
Reviewers: mehdi_amini
Subscribers: cfe-commits
Differential Revision: https://reviews.llvm.org/D26690
llvm-svn: 287084
Summary:
This patch adds the support to create jobs for the `OffloadBundlingAction` which will invoke the `clang-offload-bundler` tool to unbundle input files.
Unlike other actions, unbundling actions have multiple outputs. Therefore, this patch adds the required changes to have a variant of `Tool::ConstructJob` with multiple outputs.
The way the naming of the results is implemented is also slightly modified so that the same action can use a different offloading prefix for each use by the different offloading actions.
With this patch, it is possible to compile a functional OpenMP binary with offloading support, even with separate compilation.
Reviewers: echristo, tra, jlebar, ABataev, hfinkel
Subscribers: mkuron, whchung, mehdi_amini, cfe-commits, Hahnfeld, andreybokhanko, arpith-jacob, carlo.bertolli, caomhin
Differential Revision: https://reviews.llvm.org/D21857
llvm-svn: 285326
Summary:
Each time that offloading support is requested by the user and the input file is not a source file, an action `OffloadUnbundlingAction` is created to signal that the input file may contain bundles, so that the proper tool is then invoked to attempt to extract the components of the bundle. This patch adds the logic to create that action in offload action builder.
The job creation for the new action will be proposed in a separate patch.
Reviewers: echristo, tra, jlebar, ABataev, hfinkel
Subscribers: whchung, mehdi_amini, cfe-commits, Hahnfeld, andreybokhanko, arpith-jacob, carlo.bertolli, caomhin
Differential Revision: https://reviews.llvm.org/D21853
llvm-svn: 285324
Summary:
In order to save the user from dealing with multiple output files (for host and device) while using separate compilation, a new action `OffloadBundlingAction` is used when the last phase is not linking. This action will then result in a job that uses the proposed bundling tool to create a single preprocessed/IR/ASM/Object file from multiple ones.
The job creation for the new action will be proposed in a separate patch.
Reviewers: echristo, tra, jlebar, ABataev, hfinkel
Subscribers: whchung, mehdi_amini, cfe-commits, Hahnfeld, andreybokhanko, arpith-jacob, carlo.bertolli, caomhin
Differential Revision: https://reviews.llvm.org/D21852
llvm-svn: 285323
Summary:
This patch includes support for argument translation that is specific of a given offloading kind. Additionally, it implements the translation for OpenMP device kinds in the gcc tool chain.
With this patch, it is possible to compile a functional OpenMP application with offloading capabilities with no separate compilation.
Reviewers: echristo, tra, jlebar, rsmith, ABataev, hfinkel
Subscribers: whchung, mehdi_amini, cfe-commits, Hahnfeld, andreybokhanko, arpith-jacob, carlo.bertolli, caomhin
Differential Revision: https://reviews.llvm.org/D21848
llvm-svn: 285320
Summary:
This patch adds logic to create jobs for OpenMP offloading actions by:
- tuning the jobs result information to use the offloading prefix even for (device) linking actions.
- replacing the device inputs of the host linking jobs by a linker script that embed them in the right sections.
Reviewers: echristo, tra, jlebar, rsmith, ABataev, hfinkel
Subscribers: mkuron, whchung, mehdi_amini, cfe-commits, Hahnfeld, andreybokhanko, arpith-jacob, carlo.bertolli, caomhin
Differential Revision: https://reviews.llvm.org/D21847
llvm-svn: 285319
Summary:
This patch adds a new specialized action builder to create OpenMP offloading actions. The specialized builder is added to the action builder already containing the CUDA specialized builder.
OpenMP offloading dependences between host and device actions (expressed with OffloadActions) are different that what is used for CUDA:
- Device compile action depends on the host compile action - the device frontend extracts the information about the declarations that have to be emitted by looking into the metadata produced by the host frontend.
- The host link action depends on the device link actions - the device images are embedded in the host binary at link time.
Reviewers: echristo, tra, rsmith, jlebar, ABataev, hfinkel
Subscribers: mkuron, whchung, mehdi_amini, cfe-commits, Hahnfeld, andreybokhanko, arpith-jacob, carlo.bertolli, caomhin
Differential Revision: https://reviews.llvm.org/D21845
llvm-svn: 285314
Summary: This patch adds new logic to create the necessary tool chains to support offloading for OpenMP. The OpenMP related options are checked and the tool chains created accordingly. Diagnostics are emitted in case the options are illegal or express unknown targets.
Reviewers: echristo, tra, jlebar, rsmith, ABataev, hfinkel
Subscribers: whchung, mkuron, mehdi_amini, cfe-commits, Hahnfeld, arpith-jacob, carlo.bertolli, caomhin
Differential Revision: https://reviews.llvm.org/D21843
llvm-svn: 285311
Summary:
This creates a tool selector in the driver that replaces the existing one. The goal is to better organize the code and make the selector easier to scale, in particular in the presence of offload actions that can be collapsed.
The current implementation became more confusing when the support for offloading actions was added. This concern was expressed by Eric in http://reviews.llvm.org/D9888.
This patch does not add new testing, it preserves the existing functionality.
Reviewers: echristo, tra, jlebar, rsmith, ABataev, hfinkel
Subscribers: whchung, guansong, mkuron, mehdi_amini, cfe-commits, Hahnfeld, andreybokhanko, caomhin, arpith-jacob, carlo.bertolli
Differential Revision: https://reviews.llvm.org/D21840
llvm-svn: 285307
In this case the device code is not injected into an host action and therefore the
user should get an error as -o can't be used when generating two outputs.
llvm-svn: 285263
Make the -print-libgcc-file-name option print an appropriate compiler
runtime library, that is libgcc.a if gcc runtime is used
and an appropriate compiler-rt library if that runtime is used.
The main use for this is to allow linking executables built with
-nodefaultlibs (e.g. to avoid linking to the standard C++ library) to
the compiler runtime library, e.g. using:
clang++ ... -nodefaultlibs $(clang++ ... -print-libgcc-file-name)
in which case currently a program built like this linked to the gcc
runtime unconditionally. The patch fixes it to use compiler-rt libraries
instead when compiler-rt is the active runtime.
Differential Revision: https://reviews.llvm.org/D25338
llvm-svn: 283746
Revert the -print-libgcc-file-name change as the new test fails
on Darwin. It needs to be updated to run the libgcc part only on systems
supporting that rtlib.
llvm-svn: 283586
Make the -print-libgcc-file-name option print an appropriate compiler
runtime library, that is libgcc.a if gcc runtime is used
and an appropriate compiler-rt library if that runtime is used.
The main use for this is to allow linking executables built with
-nodefaultlibs (e.g. to avoid linking to the standard C++ library) to
the compiler runtime library, e.g. using:
clang++ ... -nodefaultlibs $(clang++ ... -print-libgcc-file-name)
in which case currently a program built like this linked to the gcc
runtime unconditionally. The patch fixes it to use compiler-rt libraries
instead when compiler-rt is the active runtime.
Differential Revision: https://reviews.llvm.org/D25338
llvm-svn: 283572
Provide toolchain and tool support for Fuchsia operating system.
Fuchsia uses compiler-rt as the runtime library and libc++, libc++abi
and libunwind as the C++ standard library. lld is used as a default
linker.
Differential Revision: https://reviews.llvm.org/D25117
llvm-svn: 283420
Summary:
This patch proposes a new class to generate and record action dependences related with offloading. The builder provides three main functionalities:
- Add device dependences to host actions.
- Add host dependence to device actions.
- Register device top-level actions.
The constructor of the builder detect the programming models that should be supported, and generates a specialized builder for each. If a new programming model is to be added in the future, only a new specialized builder has to be implemented.
When the specialized builder is generated, it produces programming-model-specific diagnostics.
A CUDA specialized builder is proposed in the patch that mostly consists of the partition of the current `buildCudaAction` by the three different functionalities.
Reviewers: tra, echristo, ABataev, jlebar, hfinkel
Subscribers: Hahnfeld, whchung, guansong, jlebar, mehdi_amini, andreybokhanko, tcramer, mkuron, cfe-commits, arpith-jacob, carlo.bertolli, caomhin
Differential Revision: https://reviews.llvm.org/D18172
llvm-svn: 282865
r280133. Original commit message:
C++ Modules TS: driver support for building modules.
This works as follows: we add --precompile to the existing gamut of options for
specifying how far to go when compiling an input (-E, -c, -S, etc.). This flag
specifies that an input is taken to the precompilation step and no further, and
this can be specified when building a .pcm from a module interface or when
building a .pch from a header file.
The .cppm extension (and some related extensions) are implicitly recognized as
C++ module interface files. If --precompile is /not/ specified, the file is
compiled (via a .pcm) to a .o file containing the code for the module (and then
potentially also assembled and linked, if -S, -c, etc. are not specified). We
do not yet suppress the emission of object code for other users of the module
interface, so for now this will only work if everything in the .cppm file has
vague linkage.
As with the existing support for module-map modules, prebuilt modules can be
provided as compiler inputs either via the -fmodule-file= command-line argument
or via files named ModuleName.pcm in one of the directories specified via
-fprebuilt-module-path=.
This also exposes the -fmodules-ts cc1 flag in the driver. This is still
experimental, and in particular, the concrete syntax is subject to change as
the Modules TS evolves in the C++ committee. Unlike -fmodules, this flag does
not enable support for implicitly loading module maps nor building modules via
the module cache, but those features can be turned on separately and used in
conjunction with the Modules TS support.
llvm-svn: 280134
This works as follows: we add --precompile to the existing gamut of options for
specifying how far to go when compiling an input (-E, -c, -S, etc.). This flag
specifies that an input is taken to the precompilation step and no further, and
this can be specified when building a .pcm from a module interface or when
building a .pch from a header file.
The .cppm extension (and some related extensions) are implicitly recognized as
C++ module interface files. If --precompile is /not/ specified, the file is
compiled (via a .pcm) to a .o file containing the code for the module (and then
potentially also assembled and linked, if -S, -c, etc. are not specified). We
do not yet suppress the emission of object code for other users of the module
interface, so for now this will only work if everything in the .cppm file has
vague linkage.
As with the existing support for module-map modules, prebuilt modules can be
provided as compiler inputs either via the -fmodule-file= command-line argument
or via files named ModuleName.pcm in one of the directories specified via
-fprebuilt-module-path=.
This also exposes the -fmodules-ts cc1 flag in the driver. This is still
experimental, and in particular, the concrete syntax is subject to change as
the Modules TS evolves in the C++ committee. Unlike -fmodules, this flag does
not enable support for implicitly loading module maps nor building modules via
the module cache, but those features can be turned on separately and used in
conjunction with the Modules TS support.
llvm-svn: 280035
If they are, we end up with the last intermediary output preserved
in the current directory after compilation.
Added a test case to verify that we're using appropriate filenames
for outputs of different phases.
Differential Revision: https://reviews.llvm.org/D23526
llvm-svn: 279455
Currently, if --driver-mode is not passed at all, it will default
to GCC style driver. This is never an issue for clang because
it manually constructs a --driver-mode option and passes it.
However, we should still try to do as good as we can even if no
--driver-mode is passed. LibTooling, for example, does not pass
a --driver-mode option and while it could, it seems like we should
still fallback to the best possible default we can.
This is one of two steps necessary to get clang-tidy working on Windows.
Reviewed By: rnk
Differential Revision: https://reviews.llvm.org/D23454
llvm-svn: 278535
Compute an effective triple once per job. Cache the triple in the
prevailing ToolChain for the duration of the job.
Clients which need effective triples now look them up in the ToolChain.
This eliminates wasteful re-computation of effective triples (e.g in
getARMFloatABI()).
While we're at it, delete MachO::ComputeEffectiveClangTriple. It was a
no-op override.
Differential Revision: https://reviews.llvm.org/D22596
llvm-svn: 276937
This reverts commit r275895 in order to address some post-commit review
feedback from Eric Christopher (see: the list thread for r275895).
llvm-svn: 276936
Compute an effective target triple exactly once in ConstructJob(), and
then simply pass around references to it. This eliminates wasteful
re-computation of effective triples (e.g in getARMFloatABI()).
Differential Revision: https://reviews.llvm.org/D22290
llvm-svn: 275895
No in-tree targets access this `DefaultTargetTriple` directly, and usage
of default triples is generally discouraged. Make the field private.
This is part of en effort to make the clang driver use effective triples
more pervasively.
Differential Revision: https://reviews.llvm.org/D22289
llvm-svn: 275894
Summary:
This patch replaces the CUDA specific action by a generic offload action. The offload action may have multiple dependences classier in “host” and “device”. The way this generic offloading action is used is very similar to what is done today by the CUDA implementation: it is used to set a specific toolchain and architecture to its dependences during the generation of jobs.
This patch also proposes propagating the offloading information through the action graph so that that information can be easily retrieved at any time during the generation of commands. This allows e.g. the "clang tool” to evaluate whether CUDA should be supported for the device or host and ptas to easily retrieve the target architecture.
This is an example of how the action graphs would look like (compilation of a single CUDA file with two GPU architectures)
```
0: input, "cudatests.cu", cuda, (host-cuda)
1: preprocessor, {0}, cuda-cpp-output, (host-cuda)
2: compiler, {1}, ir, (host-cuda)
3: input, "cudatests.cu", cuda, (device-cuda, sm_35)
4: preprocessor, {3}, cuda-cpp-output, (device-cuda, sm_35)
5: compiler, {4}, ir, (device-cuda, sm_35)
6: backend, {5}, assembler, (device-cuda, sm_35)
7: assembler, {6}, object, (device-cuda, sm_35)
8: offload, "device-cuda (nvptx64-nvidia-cuda:sm_35)" {7}, object
9: offload, "device-cuda (nvptx64-nvidia-cuda:sm_35)" {6}, assembler
10: input, "cudatests.cu", cuda, (device-cuda, sm_37)
11: preprocessor, {10}, cuda-cpp-output, (device-cuda, sm_37)
12: compiler, {11}, ir, (device-cuda, sm_37)
13: backend, {12}, assembler, (device-cuda, sm_37)
14: assembler, {13}, object, (device-cuda, sm_37)
15: offload, "device-cuda (nvptx64-nvidia-cuda:sm_37)" {14}, object
16: offload, "device-cuda (nvptx64-nvidia-cuda:sm_37)" {13}, assembler
17: linker, {8, 9, 15, 16}, cuda-fatbin, (device-cuda)
18: offload, "host-cuda (powerpc64le-unknown-linux-gnu)" {2}, "device-cuda (nvptx64-nvidia-cuda)" {17}, ir
19: backend, {18}, assembler
20: assembler, {19}, object
21: input, "cuda", object
22: input, "cudart", object
23: linker, {20, 21, 22}, image
```
The changes in this patch pass the existent regression tests (keeps the existent functionality) and resulting binaries execute correctly in a Power8+K40 machine.
Reviewers: echristo, hfinkel, jlebar, ABataev, tra
Subscribers: guansong, andreybokhanko, tcramer, mkuron, cfe-commits, arpith-jacob, carlo.bertolli, caomhin
Differential Revision: https://reviews.llvm.org/D18171
llvm-svn: 275645
Summary:
Currently our handling of CUDA architectures is scattered all around
clang. This patch centralizes it.
A key advantage of this centralization is that you can now write a C++
switch on e.g. CudaArch and get a compile error if you don't handle one
of the enum values.
Reviewers: tra
Subscribers: cfe-commits
Differential Revision: http://reviews.llvm.org/D21867
llvm-svn: 274681
Add -mno-iamcu option to:
1) Countervail -miamcu option easily
2) Be compatible with GCC which supports this option
Differential Revision: http://reviews.llvm.org/D21469
llvm-svn: 273147
This is the second patch required to support compilation for Intel MCU target (e.g. Intel(R) Quark(TM) micro controller D 2000).
When IAMCU triple is used:
* Recognize and use IAMCU GCC toolchain
* Set up include paths
* Forbid C++
Differential Revision: http://reviews.llvm.org/D19274
llvm-svn: 272883
Summary:
This patch introduces the concept of offloading tool chain and offloading kind. Each tool chain may have associated an offloading kind that marks it as used in a given programming model that requires offloading.
It also adds the logic to iterate on the tool chains based on the kind. Currently, only CUDA is supported, but in general a programming model (an offloading kind) may have associated multiple tool chains that require supporting offloading.
This patch does not add tests - its goal is to keep the existing functionality.
This patch is the first of a series of three that attempts to make the current support of CUDA more generic and easier to extend to other programming models, namely OpenMP. It tries to capture the suggestions/improvements/concerns on the initial proposal in http://lists.llvm.org/pipermail/cfe-dev/2016-February/047547.html. It only tackles the more consensual part of the proposal, i.e.does not address the problem of intermediate files bundling yet.
Reviewers: ABataev, jlebar, echristo, hfinkel, tra
Subscribers: guansong, Hahnfeld, andreybokhanko, tcramer, mkuron, cfe-commits, arpith-jacob, carlo.bertolli, caomhin
Differential Revision: http://reviews.llvm.org/D18170
llvm-svn: 272571
Mehdi Amini