Merge branch-24.12 into branch-25.02

.devcontainer/Dockerfile

@@ -33,6 +33,3 @@ ENV SCCACHE_REGION="us-east-2"
 ENV SCCACHE_BUCKET="rapids-sccache-devs"
 ENV AWS_ROLE_ARN="arn:aws:iam::279114543810:role/nv-gha-token-sccache-devs"
 ENV HISTFILE="/home/coder/.cache/._bash_history"
-
-# cugraph_pyg's setup.py needs this defined when building in a conda env
-ENV CUDA_HOME="${CUDA_HOME:-/home/coder/.conda/envs/$DEFAULT_CONDA_ENV}"

.github/workflows/build.yaml

@@ -113,22 +113,3 @@ jobs:
       sha: ${{ inputs.sha }}
       date: ${{ inputs.date }}
       package-name: cugraph
-  wheel-build-cugraph-equivariant:
-    secrets: inherit
-    uses: rapidsai/shared-workflows/.github/workflows/[email protected]
-    with:
-      build_type: ${{ inputs.build_type || 'branch' }}
-      branch: ${{ inputs.branch }}
-      sha: ${{ inputs.sha }}
-      date: ${{ inputs.date }}
-      script: ci/build_wheel_cugraph-equivariant.sh
-  wheel-publish-cugraph-equivariant:
-    needs: wheel-build-cugraph-equivariant
-    secrets: inherit
-    uses: rapidsai/shared-workflows/.github/workflows/[email protected]
-    with:
-      build_type: ${{ inputs.build_type || 'branch' }}
-      branch: ${{ inputs.branch }}
-      sha: ${{ inputs.sha }}
-      date: ${{ inputs.date }}
-      package-name: cugraph-equivariant

.github/workflows/pr.yaml

@@ -25,8 +25,6 @@ jobs:
       - wheel-tests-pylibcugraph
       - wheel-build-cugraph
       - wheel-tests-cugraph
-      - wheel-build-cugraph-equivariant
-      - wheel-tests-cugraph-equivariant
       - devcontainer
     secrets: inherit
     uses: rapidsai/shared-workflows/.github/workflows/[email protected]
@@ -161,21 +159,6 @@ jobs:
     with:
       build_type: pull-request
       script: ci/test_wheel_cugraph.sh
-  wheel-build-cugraph-equivariant:
-    secrets: inherit
-    uses: rapidsai/shared-workflows/.github/workflows/[email protected]
-    with:
-      build_type: pull-request
-      script: ci/build_wheel_cugraph-equivariant.sh
-  wheel-tests-cugraph-equivariant:
-    needs: [wheel-build-cugraph-equivariant, changed-files]
-    secrets: inherit
-    uses: rapidsai/shared-workflows/.github/workflows/[email protected]
-    if: fromJSON(needs.changed-files.outputs.changed_file_groups).test_python
-    with:
-      build_type: pull-request
-      script: ci/test_wheel_cugraph-equivariant.sh
-      matrix_filter: map(select(.ARCH == "amd64"))
   devcontainer:
     secrets: inherit
     uses: rapidsai/shared-workflows/.github/workflows/[email protected]

.github/workflows/test.yaml

@@ -58,13 +58,3 @@ jobs:
       date: ${{ inputs.date }}
       sha: ${{ inputs.sha }}
       script: ci/test_wheel_cugraph.sh
-  wheel-tests-cugraph-equivariant:
-    secrets: inherit
-    uses: rapidsai/shared-workflows/.github/workflows/[email protected]
-    with:
-      build_type: nightly
-      branch: ${{ inputs.branch }}
-      date: ${{ inputs.date }}
-      sha: ${{ inputs.sha }}
-      script: ci/test_wheel_cugraph-equivariant.sh
-      matrix_filter: map(select(.ARCH == "amd64"))

.gitignore

@@ -78,9 +78,6 @@ datasets/*
 !datasets/karate-disjoint.csv
 !datasets/netscience.csv
 
-# nx-cugraph side effects
-python/nx-cugraph/objects.inv
-
 .pydevproject
 
 # Jupyter Notebooks

.pre-commit-config.yaml

@@ -19,7 +19,6 @@ repos:
         language_version: python3
         args: [--target-version=py310]
         files: ^(python/.*|benchmarks/.*)$
-        exclude: ^python/nx-cugraph/
   - repo: https://github.com/PyCQA/flake8
     rev: 7.1.1
     hooks:
@@ -59,23 +58,3 @@ repos:
     hooks:
         - id: rapids-dependency-file-generator
           args: ["--clean"]
-  - repo: local
-    hooks:
-      - id: nx-cugraph-meta-data-update
-        name: nx-cugraph meta-data updater
-        entry: bash -c "PYTHONPATH=./python/nx-cugraph python ./python/nx-cugraph/_nx_cugraph/__init__.py"
-        files: ^python/nx-cugraph/
-        types: [python]
-        language: python
-        pass_filenames: false
-        additional_dependencies: ["networkx>=3.4"]
-  - repo: local
-    hooks:
-      - id: nx-cugraph-readme-update
-        name: nx-cugraph README updater
-        entry: bash -c "PYTHONPATH=./python/nx-cugraph python ./python/nx-cugraph/scripts/update_readme.py ./python/nx-cugraph/README.md"
-        files: ^python/nx-cugraph/
-        types_or: [python, markdown]
-        language: python
-        pass_filenames: false
-        additional_dependencies: ["networkx>=3.4"]

README.md

@@ -37,7 +37,7 @@
 -----
 ## News
 
-___NEW!___   _[nx-cugraph](./python/nx-cugraph/README.md)_, a NetworkX backend that provides GPU acceleration to NetworkX with zero code change.
+___NEW!___   _[nx-cugraph](https://rapids.ai/nx-cugraph/)_, a NetworkX backend that provides GPU acceleration to NetworkX with zero code change.
 ```
 > pip install nx-cugraph-cu11 --extra-index-url https://pypi.nvidia.com
 > export NETWORKX_AUTOMATIC_BACKENDS=cugraph
@@ -62,9 +62,8 @@ That's it.  NetworkX now leverages cuGraph for accelerated graph algorithms.
     - [External Data Types](./readme_pages/data_types.md)
   - [pylibcugraph](./readme_pages/pylibcugraph.md)
   - [libcugraph (C/C++/CUDA)](./readme_pages/libcugraph.md)
-  - [nx-cugraph](./python/nx-cugraph/README.md)
+  - [nx-cugraph](https://rapids.ai/nx-cugraph/)
   - [cugraph-service](./readme_pages/cugraph_service.md)
-  - [cugraph-dgl](./readme_pages/cugraph_dgl.md)
   - [cugraph-ops](./readme_pages/cugraph_ops.md)
 - API Docs
   - Python
@@ -127,7 +126,7 @@ df_page.sort_values('pagerank', ascending=False).head(10)
 * ArangoDB - a free and open-source native multi-model database system  - https://www.arangodb.com/
 * CuPy - "NumPy/SciPy-compatible Array Library for GPU-accelerated Computing with Python" -  https://cupy.dev/
 * Memgraph - In-memory Graph database - https://memgraph.com/
-* NetworkX (via [nx-cugraph](./python/nx-cugraph/README.md) backend) - an extremely popular, free and open-source package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks - https://networkx.org/
+* NetworkX (via [nx-cugraph](https://rapids.ai/nx-cugraph/) backend) - an extremely popular, free and open-source package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks - https://networkx.org/
 * PyGraphistry - free and open-source GPU graph ETL, AI, and visualization, including native RAPIDS & cuGraph support - http://github.com/graphistry/pygraphistry
 * ScanPy - a scalable toolkit for analyzing single-cell gene expression data - https://scanpy.readthedocs.io/en/stable/