Remove NumPy <2 pin

ci/test_python.sh

@@ -159,7 +159,7 @@ if [[ "${RAPIDS_CUDA_VERSION}" == "11.8.0" ]]; then
       cugraph \
       cugraph-dgl \
       'dgl>=1.1.0.cu*,<=2.0.0.cu*' \
-      'pytorch>=2.0' \
+      'pytorch>=2.3,<2.4' \
       'cuda-version=11.8'
 
     rapids-print-env
@@ -198,10 +198,10 @@ if [[ "${RAPIDS_CUDA_VERSION}" == "11.8.0" ]]; then
     # TODO re-enable logic once CUDA 12 is testable
     #if [[ "${RAPIDS_CUDA_VERSION}" == "11.8.0" ]]; then
     CONDA_CUDA_VERSION="11.8"
-    PYG_URL="https://data.pyg.org/whl/torch-2.1.0+cu118.html"
+    PYG_URL="https://data.pyg.org/whl/torch-2.3.0+cu118.html"
     #else
     #  CONDA_CUDA_VERSION="12.1"
-    #  PYG_URL="https://data.pyg.org/whl/torch-2.1.0+cu121.html"
+    #  PYG_URL="https://data.pyg.org/whl/torch-2.3.0+cu121.html"
     #fi
 
     # Will automatically install built dependencies of cuGraph-PyG

ci/test_wheel_cugraph-dgl.sh

@@ -32,18 +32,8 @@ fi
 PYTORCH_URL="https://download.pytorch.org/whl/cu${PYTORCH_CUDA_VER}"
 DGL_URL="https://data.dgl.ai/wheels/cu${PYTORCH_CUDA_VER}/repo.html"
 
-# Starting from 2.2, PyTorch wheels depend on nvidia-nccl-cuxx>=2.19 wheel and
-# dynamically link to NCCL. RAPIDS CUDA 11 CI images have an older NCCL version that
-# might shadow the newer NCCL required by PyTorch during import (when importing
-# `cupy` before `torch`).
-if [[ "${NCCL_VERSION}" < "2.19" ]]; then
-  PYTORCH_VER="2.1.0"
-else
-  PYTORCH_VER="2.3.0"
-fi
-
 rapids-logger "Installing PyTorch and DGL"
-rapids-retry python -m pip install "torch==${PYTORCH_VER}" --index-url ${PYTORCH_URL}
+rapids-retry python -m pip install torch==2.3.0 --index-url ${PYTORCH_URL}
 rapids-retry python -m pip install dgl==2.0.0 --find-links ${DGL_URL}
 
 python -m pytest python/cugraph-dgl/tests

ci/test_wheel_cugraph-pyg.sh

@@ -29,13 +29,13 @@ export CI_RUN=1
 
 if [[ "${CUDA_VERSION}" == "11.8.0" ]]; then
   PYTORCH_URL="https://download.pytorch.org/whl/cu118"
-  PYG_URL="https://data.pyg.org/whl/torch-2.1.0+cu118.html"
+  PYG_URL="https://data.pyg.org/whl/torch-2.3.0+cu118.html"
 else
   PYTORCH_URL="https://download.pytorch.org/whl/cu121"
-  PYG_URL="https://data.pyg.org/whl/torch-2.1.0+cu121.html"
+  PYG_URL="https://data.pyg.org/whl/torch-2.3.0+cu121.html"
 fi
 rapids-logger "Installing PyTorch and PyG dependencies"
-rapids-retry python -m pip install torch==2.1.0 --index-url ${PYTORCH_URL}
+rapids-retry python -m pip install torch==2.3.0 --index-url ${PYTORCH_URL}
 rapids-retry python -m pip install "torch-geometric>=2.5,<2.6"
 rapids-retry python -m pip install \
   ogb \

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

@@ -33,13 +33,13 @@ dependencies:
 - libraft==24.10.*,>=0.0.0a0
 - librmm==24.10.*,>=0.0.0a0
 - nbsphinx
-- nccl>=2.18.1.1
+- nccl>=2.19
 - networkx>=2.5.1
 - networkx>=3.0
 - ninja
 - notebook>=0.5.0
 - numba>=0.57
-- numpy>=1.23,<2.0a0
+- numpy>=1.23,<3.0a0
 - numpydoc
 - nvcc_linux-64=11.8
 - ogb
@@ -57,7 +57,7 @@ dependencies:
 - pytest-mpl
 - pytest-xdist
 - python-louvain
-- pytorch>=2.0,<2.2.0a0
+- pytorch>=2.3,<2.4.0a0
 - raft-dask==24.10.*,>=0.0.0a0
 - rapids-build-backend>=0.3.1,<0.4.0.dev0
 - rapids-dask-dependency==24.10.*,>=0.0.0a0

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

@@ -39,13 +39,13 @@ dependencies:
 - libraft==24.10.*,>=0.0.0a0
 - librmm==24.10.*,>=0.0.0a0
 - nbsphinx
-- nccl>=2.18.1.1
+- nccl>=2.19
 - networkx>=2.5.1
 - networkx>=3.0
 - ninja
 - notebook>=0.5.0
 - numba>=0.57
-- numpy>=1.23,<2.0a0
+- numpy>=1.23,<3.0a0
 - numpydoc
 - ogb
 - openmpi
@@ -62,7 +62,7 @@ dependencies:
 - pytest-mpl
 - pytest-xdist
 - python-louvain
-- pytorch>=2.0,<2.2.0a0
+- pytorch>=2.3,<2.4.0a0
 - raft-dask==24.10.*,>=0.0.0a0
 - rapids-build-backend>=0.3.1,<0.4.0.dev0
 - rapids-dask-dependency==24.10.*,>=0.0.0a0

conda/recipes/cugraph-dgl/meta.yaml

@@ -27,11 +27,11 @@ requirements:
     - cugraph ={{ version }}
     - dgl >=1.1.0.cu*
     - numba >=0.57
-    - numpy >=1.23,<2.0a0
+    - numpy >=1.23,<3.0a0
     - pylibcugraphops ={{ minor_version }}
     - tensordict >=0.1.2
     - python
-    - pytorch >=2.0
+    - pytorch >=2.3,<2.4.0a0
     - cupy >=12.0.0
 
 tests:

conda/recipes/cugraph-pyg/meta.yaml

@@ -29,9 +29,9 @@ requirements:
   run:
     - rapids-dask-dependency ={{ minor_version }}
     - numba >=0.57
-    - numpy >=1.23,<2.0a0
+    - numpy >=1.23,<3.0a0
     - python
-    - pytorch >=2.0
+    - pytorch >=2.3,<2.4.0a0
     - cupy >=12.0.0
     - cugraph ={{ version }}
     - pylibcugraphops ={{ minor_version }}

conda/recipes/cugraph-service/meta.yaml

@@ -63,7 +63,7 @@ outputs:
         - dask-cuda ={{ minor_version }}
         - dask-cudf ={{ minor_version }}
         - numba >=0.57
-        - numpy >=1.23,<2.0a0
+        - numpy >=1.23,<3.0a0
         - python
         - rapids-dask-dependency ={{ minor_version }}
         - thriftpy2 >=0.4.15,!=0.5.0,!=0.5.1

conda/recipes/libcugraph/conda_build_config.yaml

@@ -17,7 +17,7 @@ doxygen_version:
   - ">=1.8.11"
 
 nccl_version:
-  - ">=2.18.1.1"
+  - ">=2.19"
 
 c_stdlib:
   - sysroot

dependencies.yaml

@@ -524,13 +524,13 @@ dependencies:
           - &dask rapids-dask-dependency==24.10.*,>=0.0.0a0
           - &dask_cuda dask-cuda==24.10.*,>=0.0.0a0
           - &numba numba>=0.57
-          - &numpy numpy>=1.23,<2.0a0
+          - &numpy numpy>=1.23,<3.0a0
       - output_types: conda
         packages:
           - aiohttp
           - fsspec>=0.6.0
           - requests
-          - nccl>=2.18.1.1
+          - nccl>=2.19
           - ucx-proc=*=gpu
           - &ucx_py_unsuffixed ucx-py==0.40.*,>=0.0.0a0
       - output_types: pyproject
@@ -695,7 +695,9 @@ dependencies:
       - output_types: [conda]
         packages:
           - *cugraph_unsuffixed
-          - pytorch>=2.0
+          # ceiling could be removed when this is fixed:
+          # https://github.com/conda-forge/pytorch-cpu-feedstock/issues/254
+          - &pytorch_conda pytorch>=2.3,<2.4.0a0
           - pytorch-cuda==11.8
           - &tensordict tensordict>=0.1.2
           - dgl>=1.1.0.cu*
@@ -704,7 +706,7 @@ dependencies:
       - output_types: [conda]
         packages:
           - *cugraph_unsuffixed
-          - pytorch>=2.0
+          - *pytorch_conda
           - pytorch-cuda==11.8
           - *tensordict
           - pyg>=2.5,<2.6
@@ -713,7 +715,7 @@ dependencies:
     common:
       - output_types: [conda]
         packages:
-          - &pytorch_unsuffixed pytorch>=2.0,<2.2.0a0
+          - *pytorch_conda
           - torchdata
           - pydantic
           - ogb
@@ -733,7 +735,7 @@ dependencies:
         matrices:
           - matrix: {cuda: "12.*"}
             packages:
-              - &pytorch_pip torch>=2.0,<2.2.0a0
+              - &pytorch_pip torch>=2.3,<2.4.0a0
               - *tensordict
           - matrix: {cuda: "11.*"}
             packages:

python/cugraph-dgl/conda/cugraph_dgl_dev_cuda-118.yaml

@@ -19,7 +19,7 @@ dependencies:
 - pytest-cov
 - pytest-xdist
 - pytorch-cuda==11.8
-- pytorch>=2.0
+- pytorch>=2.3,<2.4.0a0
 - scipy
 - tensordict>=0.1.2
 name: cugraph_dgl_dev_cuda-118

python/cugraph-dgl/pyproject.toml

@@ -26,7 +26,7 @@ classifiers = [
 dependencies = [
     "cugraph==24.10.*,>=0.0.0a0",
     "numba>=0.57",
-    "numpy>=1.23,<2.0a0",
+    "numpy>=1.23,<3.0a0",
     "pylibcugraphops==24.10.*,>=0.0.0a0",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
 
@@ -40,7 +40,7 @@ test = [
     "pytest-xdist",
     "scipy",
     "tensordict>=0.1.2",
-    "torch>=2.0,<2.2.0a0",
+    "torch>=2.3,<2.4.0a0",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
 
 [project.urls]

python/cugraph-pyg/conda/cugraph_pyg_dev_cuda-118.yaml

@@ -19,7 +19,7 @@ dependencies:
 - pytest-cov
 - pytest-xdist
 - pytorch-cuda==11.8
-- pytorch>=2.0
+- pytorch>=2.3,<2.4.0a0
 - scipy
 - tensordict>=0.1.2
 name: cugraph_pyg_dev_cuda-118

python/cugraph-pyg/pyproject.toml

@@ -31,7 +31,7 @@ classifiers = [
 dependencies = [
     "cugraph==24.10.*,>=0.0.0a0",
     "numba>=0.57",
-    "numpy>=1.23,<2.0a0",
+    "numpy>=1.23,<3.0a0",
     "pylibcugraphops==24.10.*,>=0.0.0a0",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
 
@@ -49,7 +49,7 @@ test = [
     "pytest-xdist",
     "scipy",
     "tensordict>=0.1.2",
-    "torch>=2.0,<2.2.0a0",
+    "torch>=2.3,<2.4.0a0",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
 
 [tool.setuptools]

python/cugraph-service/server/pyproject.toml

@@ -27,7 +27,7 @@ dependencies = [
     "dask-cuda==24.10.*,>=0.0.0a0",
     "dask-cudf==24.10.*,>=0.0.0a0",
     "numba>=0.57",
-    "numpy>=1.23,<2.0a0",
+    "numpy>=1.23,<3.0a0",
     "rapids-dask-dependency==24.10.*,>=0.0.0a0",
     "rmm==24.10.*,>=0.0.0a0",
     "thriftpy2!=0.5.0,!=0.5.1",
@@ -47,7 +47,7 @@ cugraph-service-server = "cugraph_service_server.__main__:main"
 [project.optional-dependencies]
 test = [
     "networkx>=2.5.1",
-    "numpy>=1.23,<2.0a0",
+    "numpy>=1.23,<3.0a0",
     "pandas",
     "pytest",
     "pytest-benchmark",

python/cugraph/cugraph/tests/data_store/test_property_graph.py

@@ -2576,9 +2576,10 @@ def bench_extract_subgraph_for_rmat(gpubenchmark, rmat_PropertyGraph):
     scn = PropertyGraph.src_col_name
     dcn = PropertyGraph.dst_col_name
 
-    verts = []
-    for i in range(0, 10000, 10):
-        verts.append(generated_df["src"].iloc[i])
+    # Build a query string to extract a graph with only specific edges based on
+    # the integer vertex IDs. Other edge and/or vertex properties can be
+    # included in the query as well.
+    verts = [int(generated_df["src"].iloc[i]) for i in range(0, 10000, 10)]
 
     selected_edges = pG.select_edges(f"{scn}.isin({verts}) | {dcn}.isin({verts})")
     gpubenchmark(
@@ -2618,9 +2619,10 @@ def bench_extract_subgraph_for_rmat_detect_duplicate_edges(
     scn = PropertyGraph.src_col_name
     dcn = PropertyGraph.dst_col_name
 
-    verts = []
-    for i in range(0, 10000, 10):
-        verts.append(generated_df["src"].iloc[i])
+    # Build a query string to extract a graph with only specific edges based on
+    # the integer vertex IDs. Other edge and/or vertex properties can be
+    # included in the query as well.
+    verts = [int(generated_df["src"].iloc[i]) for i in range(0, 10000, 10)]
 
     selected_edges = pG.select_edges(f"{scn}.isin({verts}) | {dcn}.isin({verts})")
 

python/cugraph/pyproject.toml

@@ -29,7 +29,7 @@ dependencies = [
     "dask-cudf==24.10.*,>=0.0.0a0",
     "fsspec[http]>=0.6.0",
     "numba>=0.57",
-    "numpy>=1.23,<2.0a0",
+    "numpy>=1.23,<3.0a0",
     "pylibcugraph==24.10.*,>=0.0.0a0",
     "raft-dask==24.10.*,>=0.0.0a0",
     "rapids-dask-dependency==24.10.*,>=0.0.0a0",
@@ -47,7 +47,7 @@ classifiers = [
 [project.optional-dependencies]
 test = [
     "networkx>=2.5.1",
-    "numpy>=1.23,<2.0a0",
+    "numpy>=1.23,<3.0a0",
     "pandas",
     "pylibwholegraph==24.10.*,>=0.0.0a0",
     "pytest",

python/nx-cugraph/pyproject.toml

@@ -34,7 +34,7 @@ classifiers = [
 dependencies = [
     "cupy-cuda11x>=12.0.0",
     "networkx>=3.0",
-    "numpy>=1.23,<2.0a0",
+    "numpy>=1.23,<3.0a0",
     "pylibcugraph==24.10.*,>=0.0.0a0",
 ] # This list was generated by `rapids-dependency-file-generator`. To make changes, edit ../../dependencies.yaml and run `rapids-dependency-file-generator`.
 

python/pylibcugraph/pyproject.toml

@@ -41,7 +41,7 @@ classifiers = [
 [project.optional-dependencies]
 test = [
     "cudf==24.10.*,>=0.0.0a0",
-    "numpy>=1.23,<2.0a0",
+    "numpy>=1.23,<3.0a0",
     "pandas",
     "pytest",
     "pytest-benchmark",