The build system is designed to enable two different modes of use:
- Simple
install.py
helper script orpip install
for users - Highly customizable incremental builds for developers
We review each of these modes with examples.
For releases <= 22.07, the main method for building Legate was the install.py
script.
Although the underlying implementation has significantly changed, install.py
still supports the
same usage and same set of flags. For a full list of flags, users can run:
$ ./install.py --help
Legate can be installed using Conda by pointing to the required channels (-c
):
conda install -c nvidia -c conda-forge -c legate legate-core
Legate is not yet registered in a standard pip repository. However, users can still use the pip installer to build and install Legate. After downloading or cloning the legate.core source, users can run the following in the legate.core folder:
$ pip install .
or
$ python3 -m pip install .
This will install Legate in the standard packages directory for the environment Python.
If users need to customize details of the underlying CMake build, they can pass
CMake flags through the SKBUILD_CONFIGURE_OPTIONS
environment variable:
$ SKBUILD_CONFIGURE_OPTIONS="-D Legion_USE_CUDA:BOOL=ON" \
pip install .
An alternative syntax using setup.py
with scikit-build
is
$ python setup.py install -- -DLegion_USE_CUDA:BOOL=ON
pip uses scikit-build
in setup.py
to drive the build and installation. A pip install
will trigger three general actions:
- CMake build and installation of C++ libraries
- CMake generation of configuration files and build-dependent Python files
- pip installation of Python files
The CMake build can be configured independently of pip
, allowing incremental C++ builds directly through CMake.
This simplifies rebuilding libcunumeric.so
either via command-line or via IDE.
After building the C++ libraries, the pip install
can be done in "editable" mode using the -e
flag.
This configures the Python site packages to import the Python source tree directly.
The Python source can then be edited and used directly for testing without requiring another pip install
.
There are several examples in the scripts
folder. We walk through the steps in the build-separately-no-install.sh
here.
First, the CMake build needs to be configured, e.g.:
$ cmake -S . -B build -GNinja -D Legion_USE_CUDA=ON
Once configured, we can build the C++ libraries:
$ cmake --build build
This will invoke Ninja (or make) to execute the build. Once the C++ libraries are available, we can do an editable (development) pip installation.
$ SKBUILD_BUILD_OPTIONS="-D FIND_LEGATE_CORE_CPP=ON -D legate_core_ROOT=$(pwd)/build" \
python3 -m pip install \
--root / --no-deps --no-build-isolation
--editable .
The Python source tree and CMake build tree are now available with the environment Python for running Legate programs. The diagram below illustrates the complete workflow for building both Legate core and a downstream package cuNumeric