remove docs, pytest marker

rapidsai · Nov 26, 2024 · a2d679f · a2d679f
1 parent 126332b
commit a2d679f
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Showing 27 changed files with 6 additions and 290 deletions.
diff --git a/README.md b/README.md
@@ -64,7 +64,6 @@ That's it.  NetworkX now leverages cuGraph for accelerated graph algorithms.
   - [libcugraph (C/C++/CUDA)](./readme_pages/libcugraph.md)
   - [nx-cugraph](https://rapids.ai/nx-cugraph/)
   - [cugraph-service](./readme_pages/cugraph_service.md)
-  - [cugraph-ops](./readme_pages/cugraph_ops.md)
 - API Docs
   - Python
     - [Python Nightly](https://docs.rapids.ai/api/cugraph/nightly/)

diff --git a/build.sh b/build.sh
@@ -331,7 +331,7 @@ if hasArg docs || hasArg all; then
               ${CMAKE_VERBOSE_OPTION}
     fi
 
-    for PROJECT in libcugraphops libwholegraph; do
+    for PROJECT in libwholegraph; do
         XML_DIR="${REPODIR}/docs/cugraph/${PROJECT}"
         rm -rf "${XML_DIR}"
         mkdir -p "${XML_DIR}"

diff --git a/ci/build_docs.sh b/ci/build_docs.sh
@@ -46,14 +46,13 @@ rapids-mamba-retry install \
   "cugraph-service-server=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
   "cugraph-service-client=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
   "libcugraph_etl=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
-  "pylibcugraphops=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
   "pylibwholegraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
   'pytorch>=2.3' \
   "cuda-version=${CONDA_CUDA_VERSION}"
 
 export RAPIDS_DOCS_DIR="$(mktemp -d)"
 
-for PROJECT in libcugraphops libwholegraph; do
+for PROJECT in libwholegraph; do
   rapids-logger "Download ${PROJECT} xml_tar"
   TMP_DIR=$(mktemp -d)
   export XML_DIR_${PROJECT^^}="$TMP_DIR"

diff --git a/ci/release/update-version.sh b/ci/release/update-version.sh
@@ -57,12 +57,10 @@ DEPENDENCIES=(
   dask-cuda
   dask-cudf
   libcudf
-  libcugraphops
   libraft
   libraft-headers
   librmm
   pylibcugraph
-  pylibcugraphops
   pylibwholegraph
   pylibraft
   pyraft

diff --git a/conda/environments/all_cuda-118_arch-x86_64.yaml b/conda/environments/all_cuda-118_arch-x86_64.yaml
@@ -44,7 +44,6 @@ dependencies:
 - pre-commit
 - pydantic
 - pydata-sphinx-theme
-- pylibcugraphops==25.2.*,>=0.0.0a0
 - pylibraft==25.2.*,>=0.0.0a0
 - pylibwholegraph==25.2.*,>=0.0.0a0
 - pytest

diff --git a/conda/environments/all_cuda-125_arch-x86_64.yaml b/conda/environments/all_cuda-125_arch-x86_64.yaml
@@ -49,7 +49,6 @@ dependencies:
 - pre-commit
 - pydantic
 - pydata-sphinx-theme
-- pylibcugraphops==25.2.*,>=0.0.0a0
 - pylibraft==25.2.*,>=0.0.0a0
 - pylibwholegraph==25.2.*,>=0.0.0a0
 - pytest

diff --git a/dependencies.yaml b/dependencies.yaml
@@ -333,7 +333,6 @@ dependencies:
           - nbsphinx
           - numpydoc
           - pydata-sphinx-theme
-          - pylibcugraphops==25.2.*,>=0.0.0a0
           - recommonmark
           - sphinx-copybutton
           - sphinx-markdown-tables

diff --git a/docs/cugraph/source/api_docs/cugraph-ops/c_cpp/index.rst b/docs/cugraph/source/api_docs/cugraph-ops/c_cpp/index.rst
diff --git a/docs/cugraph/source/api_docs/cugraph-ops/index.rst b/docs/cugraph/source/api_docs/cugraph-ops/index.rst
diff --git a/docs/cugraph/source/api_docs/cugraph-ops/python/dimenet.rst b/docs/cugraph/source/api_docs/cugraph-ops/python/dimenet.rst
diff --git a/docs/cugraph/source/api_docs/cugraph-ops/python/graph_types.rst b/docs/cugraph/source/api_docs/cugraph-ops/python/graph_types.rst
diff --git a/docs/cugraph/source/api_docs/cugraph-ops/python/index.rst b/docs/cugraph/source/api_docs/cugraph-ops/python/index.rst
diff --git a/docs/cugraph/source/api_docs/cugraph-ops/python/operators.rst b/docs/cugraph/source/api_docs/cugraph-ops/python/operators.rst
diff --git a/docs/cugraph/source/api_docs/cugraph-ops/python/pytorch.rst b/docs/cugraph/source/api_docs/cugraph-ops/python/pytorch.rst
diff --git a/docs/cugraph/source/api_docs/index.rst b/docs/cugraph/source/api_docs/index.rst
@@ -24,7 +24,6 @@ Graph Neural Networks API Documentation
 
     cugraph-dgl/cugraph_dgl.rst
     cugraph-pyg/cugraph_pyg.rst
-    cugraph-ops/index.rst
     wholegraph/index.rst
 
 Additional Graph Packages API Documentation

diff --git a/docs/cugraph/source/conf.py b/docs/cugraph/source/conf.py
@@ -222,7 +222,6 @@ def setup(app):
 
 breathe_projects = {
     'libcugraph': os.environ['XML_DIR_LIBCUGRAPH'],
-    'libcugraphops': os.environ['XML_DIR_LIBCUGRAPHOPS'],
     'libwholegraph': os.environ['XML_DIR_LIBWHOLEGRAPH']
 }
 

diff --git a/docs/cugraph/source/graph_support/cugraphops_support.rst b/docs/cugraph/source/graph_support/cugraphops_support.rst
diff --git a/docs/cugraph/source/graph_support/gnn_support.rst b/docs/cugraph/source/graph_support/gnn_support.rst
@@ -8,5 +8,4 @@ Graph Neural Network Support
 
    PyG_support.md
    DGL_support.md
-   cugraphops_support.rst
    wholegraph_support.md
diff --git a/docs/cugraph/source/wholegraph/installation/container.md b/docs/cugraph/source/wholegraph/installation/container.md
@@ -21,7 +21,7 @@ RUN pip3 install -U py
 RUN pip3 install Cython setuputils3 scikit-build nanobind pytest-forked pytest
 ```
 
-To run GNN applications, you may also need cuGraphOps, DGL and/or PyG libraries to run the GNN layers.
+To run GNN applications, you may also need DGL and/or PyG libraries to run the GNN layers.
 You may refer to [DGL](https://www.dgl.ai/pages/start.html) or [PyG](https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html)
 For example, to install DGL, you may need to add:
 

diff --git a/python/cugraph/cugraph/tests/sampling/test_random_walks.py b/python/cugraph/cugraph/tests/sampling/test_random_walks.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.:
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.:
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -222,7 +222,6 @@ def test_random_walks_invalid_max_dept(graph_file, directed, max_depth):
 
 
 @pytest.mark.sg
-@pytest.mark.cugraph_ops
 @pytest.mark.parametrize("graph_file", SMALL_DATASETS)
 @pytest.mark.parametrize("directed", DIRECTED_GRAPH_OPTIONS)
 def test_random_walks_coalesced(graph_file, directed):
@@ -246,7 +245,6 @@ def test_random_walks_coalesced(graph_file, directed):
 
 
 @pytest.mark.sg
-@pytest.mark.cugraph_ops
 @pytest.mark.parametrize("graph_file", SMALL_DATASETS)
 @pytest.mark.parametrize("directed", DIRECTED_GRAPH_OPTIONS)
 def test_random_walks_padded_0(graph_file, directed):
@@ -271,7 +269,6 @@ def test_random_walks_padded_0(graph_file, directed):
 
 
 @pytest.mark.sg
-@pytest.mark.cugraph_ops
 def test_random_walks_padded_1():
     max_depth = random.randint(2, 10)
 
@@ -294,7 +291,6 @@ def test_random_walks_padded_1():
 
 
 @pytest.mark.sg
-@pytest.mark.cugraph_ops
 @pytest.mark.parametrize("graph_file", SMALL_DATASETS)
 def test_random_walks_nx(graph_file):
     G = graph_file.get_graph(create_using=cugraph.Graph(directed=True))

diff --git a/python/cugraph/cugraph/tests/sampling/test_random_walks_mg.py b/python/cugraph/cugraph/tests/sampling/test_random_walks_mg.py
@@ -203,7 +203,6 @@ def input_graph(request):
 
 
 @pytest.mark.mg
-@pytest.mark.cugraph_ops
 def test_dask_mg_random_walks(dask_client, input_graph):
     path_data, seeds, max_depth = calc_random_walks(input_graph)
     df_G = input_graph.input_df.compute().reset_index(drop=True)