Commit ·
64efda9
1
Parent(s): 0b48d9c
deps: enable DGL for Apple Silicon
Browse files- .github/workflows/ci.yml +2 -2
- README.md +6 -6
- docs/testing.md +3 -3
- pyproject.toml +3 -0
- uv.lock +77 -15
.github/workflows/ci.yml
CHANGED
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@@ -35,7 +35,7 @@ jobs:
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- run: uv run pytest
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test-macos:
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-
name: test (macOS
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runs-on: macos-14
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steps:
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- uses: actions/checkout@v4
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@@ -43,7 +43,7 @@ jobs:
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with:
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version: "0.8.x"
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enable-cache: true
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-
- run: uv sync --dev
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- run: uv run pytest tests/unit tests/integration -m "not gpu"
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package:
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- run: uv run pytest
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test-macos:
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+
name: test (macOS ROOT-GNN CPU)
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runs-on: macos-14
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steps:
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- uses: actions/checkout@v4
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with:
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version: "0.8.x"
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enable-cache: true
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+
- run: uv sync --dev --extra root-gnn
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- run: uv run pytest tests/unit tests/integration -m "not gpu"
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package:
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README.md
CHANGED
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@@ -23,8 +23,8 @@ The supported development environment is Python 3.12 (`>=3.12,<3.13`). Core
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development is supported on macOS and Linux:
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```bash
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-
# macOS (Apple Silicon):
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uv sync --dev
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# Linux x86_64 with an NVIDIA GPU: validated ROOT-GNN development
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uv sync --dev --extra root-gnn
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@@ -32,10 +32,10 @@ uv sync --dev --extra root-gnn
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The core package can be installed without DGL when only shared data or task
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code is needed. ROOT-GNN models, graph construction, and ROOT-GNN parity tests
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-
require the `root-gnn` extra
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-
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-
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-
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site-specific CUDA, Slurm, or filesystem paths to model or task configuration.
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## Quick start
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development is supported on macOS and Linux:
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```bash
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+
# macOS (Apple Silicon): CPU ROOT-GNN development and tests
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+
uv sync --dev --extra root-gnn
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# Linux x86_64 with an NVIDIA GPU: validated ROOT-GNN development
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uv sync --dev --extra root-gnn
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The core package can be installed without DGL when only shared data or task
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code is needed. ROOT-GNN models, graph construction, and ROOT-GNN parity tests
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+
require the `root-gnn` extra. On Linux x86_64, it uses the validated CUDA 12.1
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+
wheels configured in `pyproject.toml`; a compatible NVIDIA driver is still
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+
required. On Apple Silicon macOS, it installs the CPU DGL wheel, supporting
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+
local graph and model development but not CUDA training. Do not add
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site-specific CUDA, Slurm, or filesystem paths to model or task configuration.
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## Quick start
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docs/testing.md
CHANGED
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@@ -19,9 +19,9 @@ uv run pytest -m gpu -v
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GNN4COLLIDERS_ROOT_FIXTURE=/path/to/reduced.root uv run pytest -m real_data -v
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```
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-
On macOS,
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-
CUDA
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-
the `root-gnn` extra installed.
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Unit tests use deterministic, small tensors and generated ROOT files. DGL,
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ONNX, CUDA, distributed execution, and reduced real-data fixtures remain
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GNN4COLLIDERS_ROOT_FIXTURE=/path/to/reduced.root uv run pytest -m real_data -v
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```
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+
On Apple Silicon macOS, `uv sync --dev --extra root-gnn` supports CPU
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+
ROOT-GNN unit and integration testing. CUDA and the required ROOT-GNN parity
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+
gate are validated on Linux x86_64 with the `root-gnn` extra installed.
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Unit tests use deterministic, small tensors and generated ROOT files. DGL,
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ONNX, CUDA, distributed execution, and reduced real-data fixtures remain
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pyproject.toml
CHANGED
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@@ -20,6 +20,9 @@ dependencies = [
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[project.optional-dependencies]
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root-gnn = [
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"dgl==2.4.0+cu121; sys_platform == 'linux' and platform_machine == 'x86_64'",
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]
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onnx = [
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"onnx>=1.16,<2",
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[project.optional-dependencies]
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root-gnn = [
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"dgl==2.4.0+cu121; sys_platform == 'linux' and platform_machine == 'x86_64'",
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+
"dgl==2.2.0; sys_platform == 'darwin' and platform_machine == 'arm64'",
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+
"pydantic>=2,<3; sys_platform == 'darwin' and platform_machine == 'arm64'",
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+
"torchdata>=0.7,<0.8; sys_platform == 'darwin' and platform_machine == 'arm64'",
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]
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onnx = [
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"onnx>=1.16,<2",
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uv.lock
CHANGED
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@@ -3,7 +3,9 @@ revision = 2
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requires-python = "==3.12.*"
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resolution-markers = [
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"platform_machine == 'x86_64' and sys_platform == 'linux'",
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-
"
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]
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[[package]]
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@@ -70,7 +72,7 @@ name = "cffi"
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version = "2.1.1"
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source = { registry = "https://pypi.org/simple" }
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dependencies = [
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-
{ name = "pycparser", marker = "implementation_name != 'PyPy'" },
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]
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sdist = { url = "https://files.pythonhosted.org/packages/9e/ef/008a1939e372c06329a3fce4279c02f328488f3526744906eeec3da7ad5f/cffi-2.1.1.tar.gz", hash = "sha256:dd31f52ea1086513bb9df30f8fcee9b8918323ae067a3d5b78bc826a000712be", size = 530807, upload-time = "2026-08-03T21:21:18.939Z" }
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wheels = [
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@@ -207,7 +209,7 @@ name = "cryptography"
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version = "50.0.0"
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source = { registry = "https://pypi.org/simple" }
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dependencies = [
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-
{ name = "cffi", marker = "platform_python_implementation != 'PyPy'" },
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]
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sdist = { url = "https://files.pythonhosted.org/packages/de/41/6cbdcf9142d00fe82836fbb51e503e58088575cf7a0fe1dbff6695bf0840/cryptography-50.0.0.tar.gz", hash = "sha256:eeac2acb5a20ed25e0ad6d1df9891a520b78b404266b6d11778f25d5d691a6c9", size = 880201, upload-time = "2026-07-31T14:25:10.11Z" }
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wheels = [
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@@ -244,10 +246,34 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30", size = 8321, upload-time = "2023-10-07T05:32:16.783Z" },
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[[package]]
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name = "dgl"
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version = "2.4.0+cu121"
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source = { registry = "https://data.dgl.ai/wheels/torch-2.2/cu121/repo.html" }
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dependencies = [
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{ name = "networkx", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
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{ name = "numpy", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
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@@ -336,7 +362,10 @@ onnx = [
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{ name = "onnxruntime" },
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]
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root-gnn = [
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-
{ name = "dgl", marker = "platform_machine == '
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]
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[package.dev-dependencies]
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@@ -353,14 +382,17 @@ dev = [
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[package.metadata]
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requires-dist = [
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{ name = "awkward", specifier = ">=2.0" },
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{ name = "dgl", marker = "platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'root-gnn'", specifier = "==2.4.0+cu121", index = "https://data.dgl.ai/wheels/torch-2.2/cu121/repo.html" },
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{ name = "hydra-core", specifier = ">=1.3" },
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{ name = "numpy", specifier = ">=1.24,<2" },
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{ name = "onnx", marker = "extra == 'onnx'", specifier = ">=1.16,<2" },
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{ name = "onnxruntime", marker = "extra == 'onnx'", specifier = ">=1.18,<2" },
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{ name = "scikit-learn", specifier = ">=1.3" },
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{ name = "torch", marker = "platform_machine != 'x86_64' or sys_platform != 'linux'", specifier = "==2.2.2" },
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{ name = "torch", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'", specifier = "==2.2.2", index = "https://download.pytorch.org/whl/cu121" },
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{ name = "uproot", specifier = ">=5.0" },
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]
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provides-extras = ["root-gnn", "onnx"]
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@@ -858,12 +890,16 @@ name = "pandas"
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version = "3.0.5"
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source = { registry = "https://pypi.org/simple" }
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wheels = [
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@@ -914,7 +950,11 @@ version = "7.2.2"
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@@ -932,10 +972,10 @@ name = "pydantic"
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version = "2.13.4"
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source = { registry = "https://pypi.org/simple" }
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dependencies = [
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@@ -947,17 +987,24 @@ name = "pydantic-core"
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