pyAMReX

The Python binding pyAMReX bridges the compute in AMReX block-structured codes and data science: it provides zero-copy application GPU data access for AI/ML, in situ analysis, application coupling and enables rapid, massively parallel prototyping. pyAMReX enhances the Block-Structured AMR Software Framework AMReX and its applications.

Users

pyAMReX can be installed with package managers or from source.

Usage

Please see the manual and our test cases for detailed examples.

Use AMReX objects and APIs from Python:

import amrex.space3d as amr

small_end = amr.IntVect()
big_end = amr.IntVect(2, 3, 4)

b = amr.Box(small_end, big_end)
print(b)

# ...

Developers

If you are new to CMake, this short tutorial from the HEP Software foundation is the perfect place to get started with it.

If you just want to use CMake to build the project, jump into sections 1. Introduction, 2. Building with CMake and 9. Finding Packages.

Dependencies

pyAMReX depends on the following popular third party software.

• a mature C++17 compiler, e.g., GCC 8, Clang 7, NVCC 11.0, MSVC 19.15 or newer
• CMake 3.24.0+
• AMReX development: we automatically download and compile a copy of AMReX
• pybind11 2.12.0+: we automatically download and compile a copy of pybind11 (new BSD)
  • Python 3.8+
  • Numpy 1.15+

Optional dependencies include:

• mpi4py 2.1+: for multi-node and/or multi-GPU execution
• CCache: to speed up rebuilds (for CUDA support, needs 3.7.9+ and 4.2+ is recommended)
• further optional dependencies of AMReX
• pandas 2+: for DataFrame support
• pytest 6.2+: for running unit tests

Optional CUDA-capable dependencies for tests include:

• cupy 11.2+
• numba 0.56+
• torch 1.12+

Install Dependencies

macOS/Linux:

spack env activate -d .
# optional:
# spack add cuda
spack install

(in new terminals, re-activate the environment with spack env activate -d . again)

or macOS/Linux:

brew update
brew install ccache cmake libomp mpi4py numpy open-mpi python

Now, cmake --version should be at version 3.24.0 or newer.

Or go:

python3 -m pip install -U pip
python3 -m pip install -U build packaging setuptools wheel
python3 -m pip install -U cmake

If you wish to run unit tests, then please install pytest

python3 -m pip install -U pytest

Some of our tests depend on optional third-party modules (e.g., pandas, cupy, numba, and/or pytorch). If these are not installed then their tests will be skipped.

Configure your compiler

For example, using the Clang compiler:

export CC=$(which clang)
export CXX=$(which clang++)

If you also want to select a CUDA compiler:

export CUDACXX=$(which nvcc)
export CUDAHOSTCXX=$(which clang++)

Build

From the base of the pyAMReX source directory, execute:

# optional controls (example):
#export AMREX_SPACEDIM=3
#export AMREX_MPI=ON
#export AMREX_OMP=ON
#export AMREX_GPU_BACKEND=CUDA
#export AMREX_SRC=$PWD/../amrex
#export CMAKE_BUILD_PARALLEL_LEVEL=8

python3 -m pip install -U -r requirements.txt
python3 -m pip install -v --force-reinstall --no-deps .

If you are iterating on builds, it will faster to rely on ccache and to let CMake call the pip install logic:

cmake -S . -B build -DAMReX_SPACEDIM="1;2;3"
cmake --build build --target pip_install -j 8

Test

After successful installation, you can run the unit tests (assuming pytest is installed). If AMREX_MPI=ON, then please prepend the following commands with mpiexec -np <NUM_PROCS>

# Run all tests
python3 -m pytest tests/

# Run tests from a single file
python3 -m pytest tests/test_intvect.py

# Run a single test (useful during debugging)
python3 -m pytest tests/test_intvect.py::test_iv_conversions

# Run all tests, do not capture "print" output and be verbose
python3 -m pytest -s -vvvv tests/

Build Options

If you are using the pip-driven install, selected AMReX CMake options can be controlled with environment variables:

Environment Variable	Default & Values	Description
AMREX_OMP	ON/OFF	Enable OpenMP
AMREX_GPU_BACKEND	NONE/SYCL/CUDA/HIP	On-node, accelerated GPU backend
AMREX_MPI	ON/OFF	Enable MPI
AMREX_PRECISION	SINGLE/DOUBLE	Precision of AMReX Real type
AMREX_SPACEDIM	"1;2;3"	Dimension(s) of AMReX as a ;-separated list
AMREX_BUILD_SHARED_LIBS	ON/OFF	Build the core AMReX library as shared library
AMREX_SRC	None	Absolute path to AMReX source directory (preferred if set)
AMREX_REPO	https://github.com/AMReX-Codes/amrex.git	Repository URI to pull and build AMReX from
AMREX_BRANCH	development	Repository branch for AMREX_REPO
AMREX_INTERNAL	ON/OFF	Needs a pre-installed AMReX library if set to OFF
PYBIND11_INTERNAL	ON/OFF	Needs a pre-installed pybind11 library if set to OFF
CMAKE_BUILD_PARALLEL_LEVEL	2	Number of parallel build threads
PYAMREX_LIBDIR	None	If set, search for pre-built a pyAMReX library
PYAMREX_CCACHE	ON/OFF	Search and use CCache to speed up rebuilds
PYAMREX_IPO	ON/OFF	Compile with interprocedural/link optimization (IPO/LTO)
PY_PIP_OPTIONS	-v	Additional options for pip, e.g., -vvv;-q
PY_PIP_INSTALL_OPTIONS	None	Additional options for pip install, e.g., --user;-q

Furthermore, pyAMReX adds a few selected CMake build options:

CMake Option	Default & Values	Description
AMReX_SPACEDIM	3, use "1;2;3" for all	Dimension(s) of AMReX as a ;-separated list
pyAMReX_CCACHE	ON/OFF	Search and use CCache to speed up rebuilds
pyAMReX_IPO	ON/OFF	Compile with interprocedural/link optimization (IPO/LTO)
pyAMReX_INSTALL	ON/OFF	Enable install targets for pyAMReX
pyAMReX_amrex_src	None	Absolute path to AMReX source directory (preferred if set)
pyAMReX_amrex_internal	ON/OFF	Needs a pre-installed AMReX library if set to OFF
pyAMReX_amrex_repo	https://github.com/AMReX-Codes/amrex.git	Repository URI to pull and build AMReX from
pyAMReX_amrex_branch	development	Repository branch for pyAMReX_amrex_repo
pyAMReX_pybind11_src	None	Absolute path to pybind11 source directory (preferred if set)
pyAMReX_pybind11_internal	ON/OFF	Needs a pre-installed pybind11 library if set to OFF
pyAMReX_pybind11_repo	https://github.com/pybind/pybind11.git	Repository URI to pull and build pybind11 from
pyAMReX_pybind11_branch	v2.12.0	Repository branch for pyAMReX_pybind11_repo
Python_EXECUTABLE	(newest found)	Path to Python executable

As one example, one can also build against a local AMReX copy. Assuming AMReX' source is located in $HOME/src/amrex, then export AMREX_SRC=$HOME/src/amrex.

Or as a one-liner, assuming your AMReX source directory is located in ../amrex:

AMREX_SRC=$PWD/../amrex python3 -m pip install -v --force-reinstall .

Note that you need to use absolute paths for external source trees, because pip builds in a temporary directory.

Or build against an AMReX feature branch of a colleague. Assuming your colleague pushed AMReX to https://github.com/WeiqunZhang/amrex/ in a branch new-feature then

unset AMREX_SRC  # preferred if set
AMREX_REPO=https://github.com/WeiqunZhang/amrex.git AMREX_BRANCH=new-feature python3 -m pip install -v --force-reinstall .

You can speed up the install further if you pre-install AMReX, e.g. with a package manager. Set AMREX_INTERNAL=OFF and add installation prefix of AMReX to the environment variable CMAKE_PREFIX_PATH. Please see the short CMake tutorial that we linked above if this sounds new to you.

Acknowledgements

This work was supported by the Laboratory Directed Research and Development Program of Lawrence Berkeley National Laboratory under U.S. Department of Energy Contract No. DE-AC02-05CH11231.

Copyright Notice

pyAMReX Copyright (c) 2023, The Regents of the University of California, through Lawrence Berkeley National Laboratory, National Renewable Energy Laboratory Alliance for Sustainable Energy, LLC and Lawrence Livermore National Security, LLC (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved.

If you have questions about your rights to use or distribute this software, please contact Berkeley Lab's Intellectual Property Office at [email protected].

Please see the full license agreement in LICENSE.
Please see the notices in NOTICE.
The SPDX license identifier is BSD-3-Clause-LBNL.