diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm index 5748275242..057d90a709 100644 --- a/gnu/packages/machine-learning.scm +++ b/gnu/packages/machine-learning.scm @@ -104,6 +104,7 @@ #:use-module (gnu packages python-science) #:use-module (gnu packages python-web) #:use-module (gnu packages python-xyz) + #:use-module (gnu packages rdf) #:use-module (gnu packages regex) #:use-module (gnu packages rpc) #:use-module (gnu packages serialization) @@ -4161,6 +4162,84 @@ Note: currently this package does not provide GPU support.") (replace "onnx" onnx-for-torch2) (replace "onnx-optimizer" onnx-optimizer-for-torch2))))) +(define-public python-pytorch-geometric + (package + (name "python-pytorch-geometric") + (version "2.4.0") + (source (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/pyg-team/pytorch_geometric/") + (commit version))) + (file-name (git-file-name name version)) + (sha256 + (base32 + "0hrs579asjsph16hyb4ablkbgfwd5j9y5s6ny7ahn3qrbkl2ji1g")))) + (build-system pyproject-build-system) + (arguments + (list + #:test-flags + ;; Hangs with AttributeError: 'NoneType' object has no attribute 'rpc_async' + '(list "--ignore=test/distributed/test_rpc.py" + ;; A message passing jinja template is missing + "--ignore=test/nn/conv/test_message_passing.py" + "--ignore=test/nn/test_sequential.py" + "--ignore=test/nn/models/test_basic_gnn.py" + ;; These all fail with a size mismatch error such as + ;; RuntimeError: shape '[-1, 2, 1, 1]' is invalid for input of size 3 + "--ignore=test/explain/algorithm/test_captum_explainer.py" + "-k" (string-append + ;; Permissions error + "not test_packaging" + ;; These refuse to be run on CPU and really want a GPU + " and not test_add_random_walk_pe" + " and not test_asap" + " and not test_two_hop")) + #:phases + '(modify-phases %standard-phases + (add-after 'unpack 'delete-top-level-directories + (lambda _ + ;; The presence of these directories confuses the pyproject build + ;; system. + (for-each delete-file-recursively + '("conda" "docker" "graphgym"))))))) + (propagated-inputs + (list onnx + python-captum + python-graphviz + python-h5py + python-jinja2 + python-matplotlib + python-networkx + python-numba + python-numpy + python-opt-einsum + python-pandas + python-protobuf + python-psutil + python-pyparsing + python-pytorch-lightning + python-rdflib + python-requests + python-scikit-image + python-scikit-learn + python-scipy + python-statsmodels + python-sympy + python-tabulate + python-torchmetrics + python-tqdm)) + (native-inputs + (list python-flit-core + python-pytest + python-pytest-cov)) + (home-page "https://pyg.org") + (synopsis "Graph Neural Network library for PyTorch") + (description + "PyG is a library built upon PyTorch to easily write and train Graph +Neural Networks for a wide range of applications related to structured data.") + (license license:expat))) + (define-public python-lightning-cloud (package (name "python-lightning-cloud")