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Update packages for 0.3.0 release. Added __version__ option. #145

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Merged
mehdiataei merged 1 commit into from
Nov 21, 2025
Merged

Update packages for 0.3.0 release. Added __version__ option. #145

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3 changes: 0 additions & 3 deletions README.md
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# XLB: A Differentiable Massively Parallel Lattice Boltzmann Library in Python for Physics-Based Machine Learning

🎉 **Exciting News!** 🎉 XLB version 0.2.0 has been released, featuring a complete rewrite of the library and introducing support for the NVIDIA Warp backend!
XLB can now be installed via pip: `pip install xlb`.

XLB is a fully differentiable 2D/3D Lattice Boltzmann Method (LBM) library that leverages hardware acceleration. It supports [JAX](https://github.com/google/jax) and [NVIDIA Warp](https://github.com/NVIDIA/warp) backends, and is specifically designed to solve fluid dynamics problems in a computationally efficient and differentiable manner. Its unique combination of features positions it as an exceptionally suitable tool for applications in physics-based machine learning. With the new Warp backend, XLB now offers state-of-the-art performance for even faster simulations.

## Getting Started
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14 changes: 7 additions & 7 deletions setup.py
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setup(
name="xlb",
version="0.2.1",
version="0.3.0",
description="XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
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"numpy>=2.1.2",
"pyvista>=0.44.1",
"trimesh>=4.4.9",
"warp-lang>=1.4.0",
"warp-lang>=1.10.0",
"numpy-stl>=3.1.2",
"pydantic>=2.9.1",
"ruff>=0.6.5",
"jax>=0.4.34", # Base JAX CPU-only requirement
"ruff>=0.14.1",
"jax>=0.8.0", # Base JAX CPU-only requirement
],
extras_require={
"cuda": ["jax[cuda12]>=0.4.34"], # For CUDA installations
"tpu": ["jax[tpu]>=0.4.34"], # For TPU installations
"cuda": ["jax[cuda13]>=0.8.0"], # For CUDA installations
"tpu": ["jax[tpu]>=0.8.0"], # For TPU installations
},
python_requires=">=3.10",
python_requires=">=3.11",
dependency_links=["https://storage.googleapis.com/jax-releases/libtpu_releases.html"],
)
8 changes: 7 additions & 1 deletion xlb/__init__.py
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from importlib.metadata import PackageNotFoundError, version

try:
__version__ = version("xlb")
except PackageNotFoundError:
__version__ = "0.0.0"

# Enum classes
from xlb.compute_backend import ComputeBackend as ComputeBackend
from xlb.precision_policy import PrecisionPolicy as PrecisionPolicy, Precision as Precision
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import xlb.operator.stream
import xlb.operator.boundary_condition
import xlb.operator.macroscopic
import xlb.operator.immersed_boundary
import xlb.operator.postprocess

# Grids
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