Remove GNN Packages

build.sh

@@ -29,8 +29,6 @@ VALIDARGS="
    pylibcugraph
    cugraph
    cugraph-service
-   cugraph-pyg
-   cugraph-dgl
    cugraph-equivariant
    cpp-mgtests
    cpp-mtmgtests
@@ -57,8 +55,6 @@ HELP="$0 [<target> ...] [<flag> ...]
    pylibcugraph               - build the pylibcugraph Python package
    cugraph                    - build the cugraph Python package
    cugraph-service            - build the cugraph-service_client and cugraph-service_server Python package
-   cugraph-pyg                - build the cugraph-pyg Python package
-   cugraph-dgl                - build the cugraph-dgl extensions for DGL
    cugraph-equivariant        - build the cugraph-equivariant Python package
    cpp-mgtests                - build libcugraph and libcugraph_etl MG tests. Builds MPI communicator, adding MPI as a dependency.
    cpp-mtmgtests              - build libcugraph MTMG tests. Adds UCX as a dependency (temporary).
@@ -86,12 +82,10 @@ LIBCUGRAPH_ETL_BUILD_DIR=${LIBCUGRAPH_ETL_BUILD_DIR:=${REPODIR}/cpp/libcugraph_e
 CUGRAPH_SERVICE_BUILD_DIRS="${REPODIR}/python/cugraph-service/server/build
                             ${REPODIR}/python/cugraph-service/client/build
 "
-CUGRAPH_DGL_BUILD_DIR=${REPODIR}/python/cugraph-dgl/build
 
 BUILD_DIRS="${LIBCUGRAPH_BUILD_DIR}
             ${LIBCUGRAPH_ETL_BUILD_DIR}
             ${CUGRAPH_SERVICE_BUILD_DIRS}
-            ${CUGRAPH_DGL_BUILD_DIR}
 "
 
 # Set defaults for vars modified by flags to this script
@@ -210,7 +204,7 @@ if hasArg uninstall; then
     # removes the latest one and leaves the others installed. build.sh uninstall
     # can be run multiple times to remove all of them, but that is not obvious.
     pip uninstall -y pylibcugraph cugraph cugraph-service-client cugraph-service-server \
-        cugraph-dgl cugraph-pyg cugraph-equivariant
+        cugraph-equivariant
 fi
 
 if hasArg clean; then
@@ -328,24 +322,6 @@ if hasArg cugraph-service || hasArg all; then
     fi
 fi
 
-# Build and install the cugraph-pyg Python package
-if hasArg cugraph-pyg || hasArg all; then
-    if hasArg --clean; then
-        cleanPythonDir ${REPODIR}/python/cugraph-pyg
-    else
-        python ${PYTHON_ARGS_FOR_INSTALL} ${REPODIR}/python/cugraph-pyg
-    fi
-fi
-
-# Install the cugraph-dgl extensions for DGL
-if hasArg cugraph-dgl || hasArg all; then
-    if hasArg --clean; then
-        cleanPythonDir ${REPODIR}/python/cugraph-dgl
-    else
-        python ${PYTHON_ARGS_FOR_INSTALL} ${REPODIR}/python/cugraph-dgl
-    fi
-fi
-
 # Build and install the cugraph-equivariant Python package
 if hasArg cugraph-equivariant || hasArg all; then
     if hasArg --clean; then

ci/test.sh

@@ -99,13 +99,6 @@ if hasArg "--run-python-tests"; then
     pytest -sv -m sg -m "managedmem_on and poolallocator_on and tiny" --benchmark-disable
     echo "Ran Python benchmarks for cuGraph (running as tests) : return code was: $?, test script exit code is now: $EXITCODE"
 
-    echo "Python pytest for cugraph_pyg (single-GPU only)..."
-    conda list
-    cd ${CUGRAPH_ROOT}/python/cugraph-pyg/cugraph_pyg
-    # rmat is not tested because of MG testing
-    pytest -sv -m sg --cache-clear --junitxml=${CUGRAPH_ROOT}/junit-cugraph-pytests.xml -v --cov-config=.coveragerc --cov=cugraph_pyg --cov-report=xml:${WORKSPACE}/python/cugraph_pyg/cugraph-coverage.xml --cov-report term --ignore=raft --benchmark-disable
-    echo "Ran Python pytest for cugraph_pyg : return code was: $?, test script exit code is now: $EXITCODE"
-
     echo "Python pytest for cugraph-service (single-GPU only)..."
     cd ${CUGRAPH_ROOT}/python/cugraph-service
     pytest -sv --cache-clear --junitxml=${CUGRAPH_ROOT}/junit-cugraph-service-pytests.xml --benchmark-disable -k "not mg" ./tests

conda/environments/all_cuda-118_arch-x86_64.yaml

@@ -4,7 +4,6 @@ channels:
 - rapidsai
 - rapidsai-nightly
 - dask/label/dev
-- dglteam/label/th23_cu118
 - conda-forge
 - nvidia
 dependencies:

conda/environments/all_cuda-125_arch-x86_64.yaml

@@ -4,7 +4,6 @@ channels:
 - rapidsai
 - rapidsai-nightly
 - dask/label/dev
-- dglteam/label/th23_cu118
 - conda-forge
 - nvidia
 dependencies: