This PR adds support for the Mojo programming language.
Explicitly tested viewing the generated assembly, LLVM IR, and running
the generated executable.
- Add initial support for Numba compilation: asm, demangling, execution
Numba wraps Python functions in `Dispatcher` objects. Each dispatcher
contains zero or more compiled argument-type-indexed overloads of its
function. We import the user's code as a module, and emit the code from
all overloads of all dispatchers that the module publicly exposes.
Name mangling is odd in Numba. It uses a similar mangling syntax to C++,
but also encodes non-symbol (`r"[^a-z0-9_]"`) characters as `_%02x`.
This encoding yields valid identifier names, so it is not strictly
invertible. Here, I have hard-coded some replacements to decode some
common cases at the cost of possible clashes with ugly user-defined
names.
Screenshot captured via `make dev EXTRA_ARGS="--debug --language numba"`
## To do
- [x] Answer questions of #5591.
- [x] Acquire a python environment.
- [ ] Automatically run the python test?
Locally, I have installed a virtual environment with python 3.12.3 with
```shell
path/to/python -m venv venv_numba
path/to/venv_numba/bin/python -m pip install numba==0.61.0 scipy>=0.16
```
and configured its use with
```properties
# compiler-explorer/etc/config/numba.local.properties
compilers=&numba
defaultCompiler=numba_0_61_0
group.numba.compilers=numba_0_61_0
group.numba.baseName=Numba
compiler.numba_0_61_0.exe=/path/to/python3.13
compiler.numba_0_61_0.semver=0.61.0
```
I run this python-side test file with
```python
path/to/venv_numba/bin/python -m unittest etc/scripts/test_numba_wrapper.py
```
---------
Co-authored-by: Mats Jun Larsen <mats@jun.codes>
There's nothing special with these anymore. They are the same both
locally and in CI now, because our Vitest and Biome setups don't behave
differently there
Details:
LFortran is a modern open-source (BSD licensed) interactive Fortran
compiler built on top of LLVM. See, https://lfortran.org for more
details.
There was an interest in the community to add the compiler into the
Compiler Explorer: https://github.com/lfortran/lfortran/issues/623.
So, this PR adds it.
LFortran is in alpha (the source code compiles to binary and execute.
But, users are expected that their code can break). It can emits AST,
ASR, LLVM, C, C++, WAT, Julia, Fortran, etc. It has multiple backend
like LLVM (default), C, C++, x86, WASM, fortran and mlir.
For more options run `--help`.
Changes in this PR:
- Add LFortran as a new Fortran compiler.
- `-g` options is enabled by default in `optionsForFilter`. Providing an
option
to disabling it helps other compilers (that doesn't have complete
support for
debug information) to compile successfully
for https://github.com/compiler-explorer/compiler-explorer/issues/2331
Hey, so I am currently trying to improve the SPIR-V ecosystem, in-charge
of the [SPIR-V Guide](https://github.com/KhronosGroup/SPIRV-Guide), and
part of the SPIR-V Working Group. We talked at our last Face-2-Face
gathering about getting more support for GPU tooling in something like
Compiler Explorer because you have all made this such an amazing tool!
I have enjoyed working in this codebase and happy to help keep improving
the SPIR-V as people find issues or want enhancements (I was already
about to spend time rebuilding Compiler Explorer, so happy to donate my
time to a single tool's effort)
(For those who haven't spent last few years staring at SPIR-V)
- SPIR-V is a an IR (very much like LLVM IR) but for GPUs
- SPIR-V can be used for Graphics and Compute
- Compute:
- Can be tied to things like clang, llvm, mlir, OpenCL, etc
- One could take `spirv` as a language and compile it to something like
x86
- (Future PRs for this realm of things)
- Graphics:
- Much harder to actually "compile" to any ISA because other graphics
pipeline information is missing that will effect the final ISA
- Microsoft has even now planned to move to [SPIR-V for DirectX
soon](https://devblogs.microsoft.com/directx/directx-adopting-spir-v/)
- Both:
- There are many tools that run on SPIR-V regardless (hence why they
share the same IR)
- Being able to do tooling in compiler explorer would be AMAZING
This PR adds `SPIR-V` as a language and a new `SPIRV-Tools` compiler as
an initial compiler for it the language (since we already have the
SPIRV-Tools repo being pulled in on the infra side!)
I personally use `spirv-opt` and `spirv-val` the most and have been
testing this locally for a few days and feel it is ready to go. I plan
to slowly add more tools (ex. `spirv-fuzz`, `spirv-cross`,
`spirv-reflect`, etc)
Cheers!
(some screenshots of course)
Pythran is a python to c++ transpiler.
Our supports both the C++ and the full link to a share library (a python
module).
See https://pypi.org/project/pythran/ for more information.
fixes#6079
Signed-off-by: Marc Poulhiès <dkm@kataplop.net>
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Add support for the Spice programming language.
Spice (`spicelang`) is a simple, AOT compiled, LLVM-based systems
language with focus on practicality and performance.
**Key features of Spice**
- simplicity - see what you get aproach with batteries included
- performance: As Spice uses LLVM as its primary backbone, it competes
with the performance of other LLVM-based compilers
- enhanced safety: Spice implements an enhanced safety mechanism, which
includes builtin heap type with auto-free and more
- cross-compile support: Currently x86_64, AArch64 and wasm32 are
supported cross-compilation targets, but more to come
- Pretty good C and C++ interop
**Links**
- Source code: https://github.com/spicelang/spice
- Website: https://spicelang.com
- Playground (own CE instance): https://play.spicelang.com
- Infra PR: https://github.com/compiler-explorer/infra/pull/1229
**Things this PR addresses**
- General support for Spice
- Three code examples
- Spice mode (Syntax highlighting)
- Opt pipeline support
- LLVM mca and osaca support
I am not really sure what we're doing wrong in the config, but let's try
this.
My suspicion is, that things like `++` in `c++` could confuse the yaml
parser.
Also, I simplified the glob for cppx to make sure the glob parser is not
unhappy with that.
This pr fixes the failing labeler action labeling pull requests, which
was probably broken by renovate when upgrading the action from v4 to v5.
I wasn't able to test the configuration, but let's hope it works.
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