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pyproject.toml
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93 lines (84 loc) · 3.03 KB
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[project]
name = "tensorflow_gnn"
description = "A library for building scalable graph neural networks in TensorFlow."
# TODO(b/316329189): The relative links from README.md don't work on PyPI.
readme = "README.md"
keywords = ["tensorflow", "gnn", "graph"]
dynamic = ["version"]
license = "Apache-2.0"
requires-python = ">=3.10, <4"
dependencies = [
"ml-collections>=1.1.0",
"networkx>=3.4.2",
"pyarrow>=18.1.0",
"tensorflow>=2.17.0, <3",
# Raised lower bound to 2.57 to enable python 3.12+ support.
"apache-beam>=2.57, <3",
# This dependency comes from apache beam implementing it as an extra for 2.70.
# To maintain current compatibility with pre and post 2.70, we need to include it here. b/465442394
"crcmod>=1.7, <2",
"tensorboard",
"tf-keras>=2.17.0, <3",
]
authors = [
{name = "Google LLC", email = "tensorflow-gnn@googlegroups.com"},
]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Operating System :: MacOS :: MacOS X",
"Operating System :: POSIX :: Linux",
"Operating System :: Microsoft :: Windows",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3 :: Only",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Mathematics",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
]
[project.urls]
homepage = "https://github.com/tensorflow/gnn"
source = "https://github.com/tensorflow/gnn.git"
[project.optional-dependencies]
vizier = [
"google-vizier>=0.0.13, !=0.1.23", # Moved to extras due to dependency conflicts. b/394062744
"tensorflow>=2.18.0, <3",
]
[dependency-groups]
test-base = [
"mock",
]
test-released = [
"ai-edge-litert",
{include-group = "test-base"},
]
test-nightly = [
"tf-nightly",
"tf-keras-nightly",
"ai-edge-litert-nightly",
{include-group = "test-base"},
]
[project.scripts]
tfgnn_convert_ogb_dataset = 'tensorflow_gnn.converters.ogb.convert_ogb_dataset:main'
tfgnn_sampler = 'tensorflow_gnn.experimental.sampler.beam.sampler:main'
# copybara:comment_begin(NetworkX utils)
tfgnn_nx_converter = 'tensorflow_gnn.sampler.nx_converter:main'
tfgnn_nx_generator = 'tensorflow_gnn.sampler.nx_generator:main'
# copybara:comment_end
tfgnn_generate_training_data = 'tensorflow_gnn.tools.generate_training_data:main'
tfgnn_print_training_data = 'tensorflow_gnn.tools.print_training_data:main'
tfgnn_sampled_stats = 'tensorflow_gnn.tools.sampled_stats:main'
tfgnn_validate_graph_schema = 'tensorflow_gnn.tools.validate_graph_schema:main'
[build-system]
requires = ["setuptools", "numpy"]
build-backend = "setuptools.build_meta"
[tool.setuptools.dynamic]
version = {attr = "tensorflow_gnn.version.__version__"}
[tool.setuptools.packages.find]
exclude = ["examples*", "package*", "testdata*", "build*", "bazel*"]
[tool.setuptools.package-data]
tensorflow_gnn = ["*.proto"]