add conda cuda include directory if found

.gitignore

@@ -0,0 +1,160 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

setup.py

@@ -7,7 +7,7 @@ try:
 except ImportError:
     TORCH_AVAILABLE = False
 
-version = "v0.1.0"
+version = "0.1.0"
 
 requirements = [
     "accelerate>=0.18.0",
@@ -24,6 +24,7 @@ extras_require = {
     "triton": ["triton>=2.0.0"]
 }
 
+include_dirs=["quant_cuda"]
 
 if TORCH_AVAILABLE:
     BUILD_CUDA_EXT = int(os.environ.get('BUILD_CUDA_EXT', '1')) == 1
@@ -31,7 +32,12 @@ if TORCH_AVAILABLE:
     additional_setup_kwargs = dict()
     if BUILD_CUDA_EXT and torch.cuda.is_available():
         from torch.utils import cpp_extension
-
+        from distutils.sysconfig import get_python_lib
+        conda_cuda_include_dir=os.path.join(get_python_lib(),"nvidia/cuda_runtime/include")
+        print(f"checking conda cuda include dir {conda_cuda_include_dir}")
+        if os.path.isdir(conda_cuda_include_dir):
+            include_dirs.append(conda_cuda_include_dir)
+            print(f"appending conda cuda include dir {conda_cuda_include_dir}")
         extensions = [
             cpp_extension.CUDAExtension(
                 "quant_cuda",
@@ -52,7 +58,7 @@ if TORCH_AVAILABLE:
         version=version,
         install_requires=requirements,
         extras_require=extras_require,
-        include_dirs=["quant_cuda"],
+        include_dirs=include_dirs,
         **additional_setup_kwargs
     )
 else:
@@ -62,5 +68,5 @@ else:
         version=version,
         install_requires=requirements,
         extras_require=extras_require,
-        include_dirs=["quant_cuda"]
+        include_dirs=include_dirs
     )