Forward-merge branch-23.08 to branch-23.10

.github/workflows/build.yaml

@@ -34,6 +34,7 @@ jobs:
       branch: ${{ inputs.branch }}
       date: ${{ inputs.date }}
       sha: ${{ inputs.sha }}
+      node_type: cpu32
   python-build:
     needs: [cpp-build]
     secrets: inherit

.github/workflows/pr.yaml

@@ -36,7 +36,7 @@ jobs:
     uses: rapidsai/shared-action-workflows/.github/workflows/[email protected]
     with:
       build_type: pull-request
-      node_type: cpu16
+      node_type: cpu32
   conda-cpp-tests:
     needs: conda-cpp-build
     secrets: inherit

CHANGELOG.md

@@ -1,3 +1,75 @@
+# cuGraph 23.08.00 (9 Aug 2023)
+
+## 🚨 Breaking Changes
+
+- Change the renumber_sampled_edgelist function behavior. ([#3762](https://github.com/rapidsai/cugraph/pull/3762)) [@seunghwak](https://github.com/seunghwak)
+- PLC and Python Support for Sample-Side MFG Creation ([#3734](https://github.com/rapidsai/cugraph/pull/3734)) [@alexbarghi-nv](https://github.com/alexbarghi-nv)
+- Stop using setup.py in build.sh ([#3704](https://github.com/rapidsai/cugraph/pull/3704)) [@vyasr](https://github.com/vyasr)
+- Refactor edge betweenness centrality ([#3672](https://github.com/rapidsai/cugraph/pull/3672)) [@jnke2016](https://github.com/jnke2016)
+- [FIX] Fix the hang in cuGraph Python Uniform Neighbor Sample, Add Logging to Bulk Sampler ([#3669](https://github.com/rapidsai/cugraph/pull/3669)) [@alexbarghi-nv](https://github.com/alexbarghi-nv)
+
+## 🐛 Bug Fixes
+
+- Change the renumber_sampled_edgelist function behavior. ([#3762](https://github.com/rapidsai/cugraph/pull/3762)) [@seunghwak](https://github.com/seunghwak)
+- Fix bug discovered in Jaccard testing ([#3758](https://github.com/rapidsai/cugraph/pull/3758)) [@ChuckHastings](https://github.com/ChuckHastings)
+- fix inconsistent graph properties between the SG and the MG API ([#3757](https://github.com/rapidsai/cugraph/pull/3757)) [@jnke2016](https://github.com/jnke2016)
+- Fixes options for `--pydevelop` to remove unneeded CWD path ("."), restores use of `setup.py` temporarily for develop builds ([#3747](https://github.com/rapidsai/cugraph/pull/3747)) [@rlratzel](https://github.com/rlratzel)
+- Fix sampling call parameters if compiled with -DNO_CUGRAPH_OPS ([#3729](https://github.com/rapidsai/cugraph/pull/3729)) [@ChuckHastings](https://github.com/ChuckHastings)
+- Fix primitive bug discovered in MG edge betweenness centrality testing ([#3723](https://github.com/rapidsai/cugraph/pull/3723)) [@ChuckHastings](https://github.com/ChuckHastings)
+- Reorder dependencies.yaml channels ([#3721](https://github.com/rapidsai/cugraph/pull/3721)) [@raydouglass](https://github.com/raydouglass)
+- [BUG]   Fix namesapce to default_hash and hash_functions ([#3711](https://github.com/rapidsai/cugraph/pull/3711)) [@naimnv](https://github.com/naimnv)
+- [BUG] Fix Bulk Sampling Test Issue ([#3701](https://github.com/rapidsai/cugraph/pull/3701)) [@alexbarghi-nv](https://github.com/alexbarghi-nv)
+- Make `pylibcugraphops` optional imports in `cugraph-dgl` and `-pyg` ([#3693](https://github.com/rapidsai/cugraph/pull/3693)) [@tingyu66](https://github.com/tingyu66)
+- [FIX] Rename `cugraph-ops` symbols (refactoring) and update GHA workflows to call pytest via `python -m pytest` ([#3688](https://github.com/rapidsai/cugraph/pull/3688)) [@naimnv](https://github.com/naimnv)
+- [FIX] Fix the hang in cuGraph Python Uniform Neighbor Sample, Add Logging to Bulk Sampler ([#3669](https://github.com/rapidsai/cugraph/pull/3669)) [@alexbarghi-nv](https://github.com/alexbarghi-nv)
+- force atlas notebook changes to run in cugraph 23.08 container. ([#3656](https://github.com/rapidsai/cugraph/pull/3656)) [@acostadon](https://github.com/acostadon)
+
+## 📖 Documentation
+
+- this fixes github links in cugraph, cugraph-dgl and cugraph-pyg ([#3650](https://github.com/rapidsai/cugraph/pull/3650)) [@acostadon](https://github.com/acostadon)
+- Fix minor typo in README.md ([#3636](https://github.com/rapidsai/cugraph/pull/3636)) [@akasper](https://github.com/akasper)
+- Created landing spot for centrality and similarity algorithms ([#3620](https://github.com/rapidsai/cugraph/pull/3620)) [@acostadon](https://github.com/acostadon)
+
+## 🚀 New Features
+
+- Compute shortest distances between given sets of origins and destinations for large diameter graphs ([#3741](https://github.com/rapidsai/cugraph/pull/3741)) [@seunghwak](https://github.com/seunghwak)
+- Update primitive to compute weighted Jaccard, Sorensen and Overlap similarity ([#3728](https://github.com/rapidsai/cugraph/pull/3728)) [@naimnv](https://github.com/naimnv)
+- Add CUDA 12.0 conda environment. ([#3725](https://github.com/rapidsai/cugraph/pull/3725)) [@bdice](https://github.com/bdice)
+- Renumber utility function for sampling output ([#3707](https://github.com/rapidsai/cugraph/pull/3707)) [@seunghwak](https://github.com/seunghwak)
+- Integrate C++ Sampling Source Behavior Updates ([#3699](https://github.com/rapidsai/cugraph/pull/3699)) [@alexbarghi-nv](https://github.com/alexbarghi-nv)
+- Adds `fail_on_nonconvergence` option to `pagerank` to provide pagerank results even on non-convergence ([#3639](https://github.com/rapidsai/cugraph/pull/3639)) [@rlratzel](https://github.com/rlratzel)
+- Add Benchmark for Bulk Sampling ([#3628](https://github.com/rapidsai/cugraph/pull/3628)) [@alexbarghi-nv](https://github.com/alexbarghi-nv)
+- cugraph: Build CUDA 12 packages ([#3456](https://github.com/rapidsai/cugraph/pull/3456)) [@vyasr](https://github.com/vyasr)
+
+## 🛠️ Improvements
+
+- Pin `dask` and `distributed` for `23.08` release ([#3761](https://github.com/rapidsai/cugraph/pull/3761)) [@galipremsagar](https://github.com/galipremsagar)
+- Fix `build.yaml` workflow ([#3756](https://github.com/rapidsai/cugraph/pull/3756)) [@ajschmidt8](https://github.com/ajschmidt8)
+- Support MFG creation on sampling gpus for cugraph dgl ([#3742](https://github.com/rapidsai/cugraph/pull/3742)) [@VibhuJawa](https://github.com/VibhuJawa)
+- PLC and Python Support for Sample-Side MFG Creation ([#3734](https://github.com/rapidsai/cugraph/pull/3734)) [@alexbarghi-nv](https://github.com/alexbarghi-nv)
+- Switch to new wheel building pipeline ([#3731](https://github.com/rapidsai/cugraph/pull/3731)) [@vyasr](https://github.com/vyasr)
+- Remove RAFT specialization. ([#3727](https://github.com/rapidsai/cugraph/pull/3727)) [@bdice](https://github.com/bdice)
+- C API for renumbering the samples ([#3724](https://github.com/rapidsai/cugraph/pull/3724)) [@ChuckHastings](https://github.com/ChuckHastings)
+- Only run cugraph conda CI for CUDA 11. ([#3713](https://github.com/rapidsai/cugraph/pull/3713)) [@bdice](https://github.com/bdice)
+- Promote `Datasets` to stable and clean-up unit tests ([#3712](https://github.com/rapidsai/cugraph/pull/3712)) [@nv-rliu](https://github.com/nv-rliu)
+- [BUG] Unsupported graph for similiarity algos ([#3710](https://github.com/rapidsai/cugraph/pull/3710)) [@jnke2016](https://github.com/jnke2016)
+- Stop using setup.py in build.sh ([#3704](https://github.com/rapidsai/cugraph/pull/3704)) [@vyasr](https://github.com/vyasr)
+- [WIP] Make edge ids optional ([#3702](https://github.com/rapidsai/cugraph/pull/3702)) [@VibhuJawa](https://github.com/VibhuJawa)
+- Use rapids-cmake testing to run tests in parallel ([#3697](https://github.com/rapidsai/cugraph/pull/3697)) [@robertmaynard](https://github.com/robertmaynard)
+- Sampling modifications to support PyG and DGL options ([#3696](https://github.com/rapidsai/cugraph/pull/3696)) [@ChuckHastings](https://github.com/ChuckHastings)
+- Include cuCollection public header for hash functions ([#3694](https://github.com/rapidsai/cugraph/pull/3694)) [@seunghwak](https://github.com/seunghwak)
+- Refactor edge betweenness centrality ([#3672](https://github.com/rapidsai/cugraph/pull/3672)) [@jnke2016](https://github.com/jnke2016)
+- Refactor RMAT ([#3662](https://github.com/rapidsai/cugraph/pull/3662)) [@jnke2016](https://github.com/jnke2016)
+- [REVIEW] Optimize bulk sampling ([#3661](https://github.com/rapidsai/cugraph/pull/3661)) [@VibhuJawa](https://github.com/VibhuJawa)
+- Update to CMake 3.26.4 ([#3648](https://github.com/rapidsai/cugraph/pull/3648)) [@vyasr](https://github.com/vyasr)
+- Optimize cugraph-dgl MFG creation ([#3646](https://github.com/rapidsai/cugraph/pull/3646)) [@VibhuJawa](https://github.com/VibhuJawa)
+- use rapids-upload-docs script ([#3640](https://github.com/rapidsai/cugraph/pull/3640)) [@AyodeAwe](https://github.com/AyodeAwe)
+- Fix dependency versions for `23.08` ([#3638](https://github.com/rapidsai/cugraph/pull/3638)) [@ajschmidt8](https://github.com/ajschmidt8)
+- Unpin `dask` and `distributed` for development ([#3634](https://github.com/rapidsai/cugraph/pull/3634)) [@galipremsagar](https://github.com/galipremsagar)
+- Remove documentation build scripts for Jenkins ([#3627](https://github.com/rapidsai/cugraph/pull/3627)) [@ajschmidt8](https://github.com/ajschmidt8)
+- Unpin scikit-build upper bound ([#3609](https://github.com/rapidsai/cugraph/pull/3609)) [@vyasr](https://github.com/vyasr)
+- Implement C++ Edge Betweenness Centrality ([#3602](https://github.com/rapidsai/cugraph/pull/3602)) [@ChuckHastings](https://github.com/ChuckHastings)
+
 # cuGraph 23.06.00 (7 Jun 2023)
 
 ## 🚨 Breaking Changes

build.sh

@@ -175,7 +175,7 @@ if hasArg --cmake_default_generator; then
     CMAKE_GENERATOR_OPTION=""
 fi
 if hasArg --pydevelop; then
-    PYTHON_ARGS_FOR_INSTALL="-m pip install --no-build-isolation --no-deps -e ."
+    PYTHON_ARGS_FOR_INSTALL="-m pip install --no-build-isolation --no-deps -e"
 fi
 
 # Append `-DFIND_RAFT_CPP=ON` to EXTRA_CMAKE_ARGS unless a user specified the option.
@@ -302,6 +302,22 @@ if buildAll || hasArg pylibcugraph; then
     if hasArg --clean; then
         cleanPythonDir ${REPODIR}/python/pylibcugraph
     else
+        # FIXME: skbuild with setuptools>=64 has a bug when called from a "pip
+        # install -e" command, resulting in a broken editable wheel. Continue
+        # to use "setup.py bdist_ext --inplace" for a develop build until
+        # https://github.com/scikit-build/scikit-build/issues/981 is closed.
+        if hasArg --pydevelop; then
+            cd ${REPODIR}/python/pylibcugraph
+            python setup.py build_ext \
+                   --inplace \
+                   -- \
+                   -DFIND_CUGRAPH_CPP=ON \
+                   -DUSE_CUGRAPH_OPS=${BUILD_WITH_CUGRAPHOPS} \
+                   -Dcugraph_ROOT=${LIBCUGRAPH_BUILD_DIR} \
+                   -- \
+                   -j${PARALLEL_LEVEL:-1}
+            cd -
+        fi
         SKBUILD_CONFIGURE_OPTIONS="${SKBUILD_EXTRA_CMAKE_ARGS} -DUSE_CUGRAPH_OPS=${BUILD_WITH_CUGRAPHOPS}" \
             SKBUILD_BUILD_OPTIONS="-j${PARALLEL_LEVEL}" \
             python ${PYTHON_ARGS_FOR_INSTALL} ${REPODIR}/python/pylibcugraph
@@ -313,6 +329,22 @@ if buildAll || hasArg cugraph; then
     if hasArg --clean; then
         cleanPythonDir ${REPODIR}/python/cugraph
     else
+        # FIXME: skbuild with setuptools>=64 has a bug when called from a "pip
+        # install -e" command, resulting in a broken editable wheel. Continue
+        # to use "setup.py bdist_ext --inplace" for a develop build until
+        # https://github.com/scikit-build/scikit-build/issues/981 is closed.
+        if hasArg --pydevelop; then
+            cd ${REPODIR}/python/cugraph
+            python setup.py build_ext \
+                   --inplace \
+                   -- \
+                   -DFIND_CUGRAPH_CPP=ON \
+                   -DUSE_CUGRAPH_OPS=${BUILD_WITH_CUGRAPHOPS} \
+                   -Dcugraph_ROOT=${LIBCUGRAPH_BUILD_DIR} \
+                   -- \
+                   -j${PARALLEL_LEVEL:-1}
+            cd -
+        fi
         SKBUILD_CONFIGURE_OPTIONS="${SKBUILD_EXTRA_CMAKE_ARGS} -DUSE_CUGRAPH_OPS=${BUILD_WITH_CUGRAPHOPS}" \
             SKBUILD_BUILD_OPTIONS="-j${PARALLEL_LEVEL}" \
             python ${PYTHON_ARGS_FOR_INSTALL} ${REPODIR}/python/cugraph

ci/test_wheel_cugraph.sh

@@ -9,7 +9,7 @@ RAPIDS_PY_WHEEL_NAME="pylibcugraph_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-whe
 python -m pip install --no-deps ./local-pylibcugraph-dep/pylibcugraph*.whl
 
 # Always install latest dask for testing
-python -m pip install git+https://github.com/dask/dask.git@main git+https://github.com/dask/distributed.git@main git+https://github.com/rapidsai/[email protected]
+python -m pip install git+https://github.com/dask/dask.git@2023.7.1 git+https://github.com/dask/distributed.git@2023.7.1 git+https://github.com/rapidsai/[email protected]
 
 # Only download test data for x86
 arch=$(uname -m)

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

@@ -18,11 +18,11 @@ dependencies:
 - cupy>=12.0.0
 - cxx-compiler
 - cython>=0.29,<0.30
-- dask-core>=2023.5.1
+- dask-core==2023.7.1
 - dask-cuda==23.8.*
 - dask-cudf==23.8.*
-- dask>=2023.5.1
-- distributed>=2023.5.1
+- dask==2023.7.1
+- distributed==2023.7.1
 - doxygen
 - fsspec[http]>=0.6.0
 - gcc_linux-64=11.*

conda/environments/all_cuda-120_arch-x86_64.yaml

@@ -18,11 +18,11 @@ dependencies:
 - cupy>=12.0.0
 - cxx-compiler
 - cython>=0.29,<0.30
-- dask-core>=2023.5.1
+- dask-core==2023.7.1
 - dask-cuda==23.8.*
 - dask-cudf==23.8.*
-- dask>=2023.5.1
-- distributed>=2023.5.1
+- dask==2023.7.1
+- distributed==2023.7.1
 - doxygen
 - fsspec[http]>=0.6.0
 - gcc_linux-64=11.*

conda/recipes/cugraph-pyg/meta.yaml

@@ -26,7 +26,7 @@ requirements:
     - python
     - scikit-build >=0.13.1
   run:
-    - distributed >=2023.5.1
+    - distributed ==2023.7.1
     - numba >=0.57
     - numpy >=1.21
     - python

conda/recipes/cugraph-service/meta.yaml

@@ -57,7 +57,7 @@ outputs:
         - cupy >=12.0.0
         - dask-cuda ={{ minor_version }}
         - dask-cudf ={{ minor_version }}
-        - distributed >=2023.5.1
+        - distributed ==2023.7.1
         - numba >=0.57
         - numpy >=1.21
         - python

conda/recipes/cugraph/meta.yaml

@@ -75,9 +75,9 @@ requirements:
     - cupy >=12.0.0
     - dask-cuda ={{ minor_version }}
     - dask-cudf ={{ minor_version }}
-    - dask >=2023.5.1
-    - dask-core >=2023.5.1
-    - distributed >=2023.5.1
+    - dask ==2023.7.1
+    - dask-core ==2023.7.1
+    - distributed ==2023.7.1
     - libcugraph ={{ version }}
     - pylibcugraph ={{ version }}
     - pylibraft ={{ minor_version }}

cpp/include/cugraph/graph_functions.hpp

@@ -922,15 +922,16 @@ rmm::device_uvector<vertex_t> select_random_vertices(
  * This function renumbers sampling function (e.g. uniform_neighbor_sample) outputs satisfying the
  * following requirements.
  *
- * 1. Say @p edgelist_srcs has N unique vertices. These N unique vertices will be mapped to [0, N).
- * 2. Among the N unique vertices, an original vertex with a smaller attached hop number will be
- * renumbered to a smaller vertex ID than any other original vertices with a larger attached hop
- * number (if @p edgelist_hops.has_value() is true). If a single vertex is attached to multiple hop
- * numbers, the minimum hop number is used.
- * 3. Say @p edgelist_dsts has M unique vertices that appear only in @p edgelist_dsts (the set of M
- * unique vertices does not include any vertices that appear in @p edgelist_srcs). Then, these M
- * unique vertices will be mapped to [N, N + M).
- * 4. If label_offsets.has_value() is ture, edge lists for different labels will be renumbered
+ * 1. If @p edgelist_hops is valid, we can consider (vertex ID, flag=src, hop) triplets for each
+ * vertex ID in @p edgelist_srcs and (vertex ID, flag=dst, hop) triplets for each vertex ID in @p
+ * edgelist_dsts. From these triplets, we can find the minimum (hop, flag) pairs for every unique
+ * vertex ID (hop is the primary key and flag is the secondary key, flag=src is considered smaller
+ * than flag=dst if hop numbers are same). Vertex IDs with smaller (hop, flag) pairs precede vertex
+ * IDs with larger (hop, flag) pairs in renumbering. Ordering can be arbitrary among the vertices
+ * with the same (hop, flag) pairs.
+ * 2. If @p edgelist_hops is invalid, unique vertex IDs in @p edgelist_srcs precede vertex IDs that
+ * appear only in @p edgelist_dsts.
+ * 3. If label_offsets.has_value() is ture, edge lists for different labels will be renumbered
  * separately.
  *
  * This function is single-GPU only (we are not aware of any practical multi-GPU use cases).
@@ -940,10 +941,10 @@ rmm::device_uvector<vertex_t> select_random_vertices(
  * @param  handle RAFT handle object to encapsulate resources (e.g. CUDA stream, communicator, and
  * handles to various CUDA libraries) to run graph algorithms.
  * @param edgelist_srcs A vector storing original edgelist source vertices.
- * @param edgelist_hops An optional pointer to the array storing hops for each edge list source
- * vertices (size = @p edgelist_srcs.size()).
  * @param edgelist_dsts A vector storing original edgelist destination vertices (size = @p
  * edgelist_srcs.size()).
+ * @param edgelist_hops An optional pointer to the array storing hops for each edge list (source,
+ * destination) pairs (size = @p edgelist_srcs.size() if valid).
  * @param label_offsets An optional tuple of unique labels and the input edge list (@p
  * edgelist_srcs, @p edgelist_hops, and @p edgelist_dsts) offsets for the labels (siez = # unique
  * labels + 1).
@@ -962,8 +963,8 @@ std::tuple<rmm::device_uvector<vertex_t>,
 renumber_sampled_edgelist(
   raft::handle_t const& handle,
   rmm::device_uvector<vertex_t>&& edgelist_srcs,
-  std::optional<raft::device_span<int32_t const>> edgelist_hops,
   rmm::device_uvector<vertex_t>&& edgelist_dsts,
+  std::optional<raft::device_span<int32_t const>> edgelist_hops,
   std::optional<std::tuple<raft::device_span<label_t const>, raft::device_span<size_t const>>>
     label_offsets,
   bool do_expensive_check = false);

cpp/src/c_api/graph_functions.cpp

@@ -146,6 +146,12 @@ struct two_hop_neighbors_functor : public cugraph::c_api::abstract_functor {
                    start_vertices_->size_,
                    handle_.get_stream());
 
+        if constexpr (multi_gpu) {
+          start_vertices =
+            cugraph::detail::shuffle_ext_vertices_to_local_gpu_by_vertex_partitioning(
+              handle_, std::move(start_vertices));
+        }
+
         cugraph::renumber_ext_vertices<vertex_t, multi_gpu>(
           handle_,
           start_vertices.data(),
@@ -155,11 +161,6 @@ struct two_hop_neighbors_functor : public cugraph::c_api::abstract_functor {
           graph_view.local_vertex_partition_range_last(),
           do_expensive_check_);
 
-        if constexpr (multi_gpu) {
-          start_vertices =
-            cugraph::detail::shuffle_ext_vertices_to_local_gpu_by_vertex_partitioning(
-              handle_, std::move(start_vertices));
-        }
       } else {
         start_vertices.resize(graph_view.local_vertex_partition_range_size(), handle_.get_stream());
         cugraph::detail::sequence_fill(handle_.get_stream(),

cpp/src/c_api/similarity.cpp

@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2022, NVIDIA CORPORATION.
+ * Copyright (c) 2022-2023, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.

cpp/src/c_api/uniform_neighbor_sampling.cpp

@@ -236,9 +236,9 @@ struct uniform_neighbor_sampling_functor : public cugraph::c_api::abstract_funct
         std::tie(src, dst, renumber_map, renumber_map_offsets) = cugraph::renumber_sampled_edgelist(
           handle_,
           std::move(src),
+          std::move(dst),
           hop ? std::make_optional(raft::device_span<int32_t const>{hop->data(), hop->size()})
               : std::nullopt,
-          std::move(dst),
           std::make_optional(std::make_tuple(
             raft::device_span<label_t const>{edge_label->data(), edge_label->size()},
             raft::device_span<size_t const>{offsets->data(), offsets->size()})),