Use dashes in cuvs-bench package name. (#417)

This attempts to rename `cuvs_bench` to `cuvs-bench` and similarly for the CPU package. This follows from this thread: rapidsai/docker#715 (comment)

Authors:
  - Bradley Dice (https://github.com/bdice)

Approvers:
  - James Lamb (https://github.com/jameslamb)
  - Dante Gama Dessavre (https://github.com/dantegd)

URL: #417

build.sh

@@ -447,7 +447,7 @@ if (( ${NUMARGS} == 0 )) || hasArg python; then
         python -m pip install --no-build-isolation --no-deps --config-settings rapidsai.disable-cuda=true ${REPODIR}/python/cuvs
 fi
 
-# Build and (optionally) install the cuvs_bench Python package
+# Build and (optionally) install the cuvs-bench Python package
 if (( ${NUMARGS} == 0 )) || hasArg bench-ann; then
     python -m pip install --no-build-isolation --no-deps --config-settings rapidsai.disable-cuda=true ${REPODIR}/python/cuvs_bench
 fi

ci/build_python.sh

@@ -31,22 +31,22 @@ rapids-conda-retry mambabuild \
   --channel "${CPP_CHANNEL}" \
   conda/recipes/cuvs
 
-# Build cuvs_bench for each cuda and python version
+# Build cuvs-bench for each cuda and python version
 rapids-conda-retry mambabuild \
   --no-test \
   --channel "${CPP_CHANNEL}" \
   --channel "${RAPIDS_CONDA_BLD_OUTPUT_DIR}" \
-  conda/recipes/cuvs_bench
+  conda/recipes/cuvs-bench
 
-# Build cuvs_bench_cpu only in CUDA 12 jobs since it only depends on python
+# Build cuvs-bench-cpu only in CUDA 12 jobs since it only depends on python
 # version
 RAPIDS_CUDA_MAJOR="${RAPIDS_CUDA_VERSION%%.*}"
 if [[ ${RAPIDS_CUDA_MAJOR} == "12" ]]; then
   rapids-conda-retry mambabuild \
   --no-test \
   --channel "${CPP_CHANNEL}" \
   --channel "${RAPIDS_CONDA_BLD_OUTPUT_DIR}" \
-  conda/recipes/cuvs_bench_cpu
+  conda/recipes/cuvs-bench-cpu
 fi
 
 rapids-upload-conda-to-s3 python

conda/recipes/cuvs_bench_cpu/meta.yaml → conda/recipes/cuvs-bench-cpu/meta.yaml

@@ -8,7 +8,7 @@
 {% set date_string = environ['RAPIDS_DATE_STRING'] %}
 
 package:
-  name: cuvs_bench_cpu
+  name: cuvs-bench-cpu
   version: {{ version }}
   script: build.sh
 

conda/recipes/cuvs_bench/meta.yaml → conda/recipes/cuvs-bench/meta.yaml

@@ -10,7 +10,7 @@
 {% set date_string = environ['RAPIDS_DATE_STRING'] %}
 
 package:
-  name: cuvs_bench
+  name: cuvs-bench
   version: {{ version }}
   script: build.sh
 

docs/source/cuvs_bench/index.rst

@@ -93,20 +93,20 @@ We provide images for GPU enabled systems, as well as systems without a GPU. The
 - `cuvs-bench-datasets`: Contains the GPU and CPU benchmarks with million-scale datasets already included in the container. Best suited for users that want to run multiple million scale datasets already included in the image.
 - `cuvs-bench-cpu`: Contains only CPU benchmarks with minimal size. Best suited for users that want the smallest containers to reproduce benchmarks on systems without a GPU.
 
-Nightly images are located in `dockerhub <https://hub.docker.com/r/rapidsai/cuvs-ann-bench/tags>`_, meanwhile release (stable) versions are located in `NGC <https://hub.docker.com/r/rapidsai/cuvs_bench>`_, starting with release 24.10.
+Nightly images are located in `dockerhub <https://hub.docker.com/r/rapidsai/cuvs-bench/tags>`_, meanwhile release (stable) versions are located in `NGC <https://hub.docker.com/r/rapidsai/cuvs-bench>`_, starting with release 24.10.
 
-The following command pulls the nightly container for python version 10, cuda version 12, and CUVS version 23.10:
+The following command pulls the nightly container for Python version 3.10, CUDA version 12.0, and cuVS version 24.10:
 
 .. code-block:: bash
 
-   docker pull rapidsai/cuvs_bench:24.10a-cuda12.0-py3.10 #substitute cuvs_bench for the exact desired container.
+   docker pull rapidsai/cuvs-bench:24.10a-cuda12.0-py3.10 #substitute cuvs-bench for the exact desired container.
 
 The CUDA and python versions can be changed for the supported values:
 - Supported CUDA versions: 11.4 and 12.x
 - Supported Python versions: 3.9 and 3.10.
 
 You can see the exact versions as well in the dockerhub site:
-- `cuVS bench images <https://hub.docker.com/r/rapidsai/cuvs_bench/tags>`_
+- `cuVS bench images <https://hub.docker.com/r/rapidsai/cuvs-bench/tags>`_
 - `cuVS bench with datasets preloaded images <https://hub.docker.com/r/rapidsai/cuvs-bench-cpu/tags>`_
 - `cuVS bench CPU only images <https://hub.docker.com/r/rapidsai/cuvs-bench-datasets/tags>`_
 
@@ -583,7 +583,7 @@ A default `datasets.yaml` is provided by CUVS in `${CUVS_HOME}/python/cuvs-ann-b
       dims: 128
       distance: euclidean
 
-Configuration files for ANN algorithms supported by `cuvs-bench` are provided in `${CUVS_HOME}/python/cuvs-bench/src/cuvs_bench/run/conf`. `cuvs_cagra` algorithm configuration looks like:
+Configuration files for ANN algorithms supported by `cuvs-bench` are provided in `${CUVS_HOME}/python/cuvs_bench/cuvs_bench/config/algos`. `cuvs_cagra` algorithm configuration looks like:
 
 .. code-block:: yaml
 
@@ -767,4 +767,4 @@ Add a new entry to `algos.yaml` to map the name of the algorithm to its binary e
       requires_gpu: true
 
 `executable` : specifies the name of the binary that will build/search the index. It is assumed to be available in `cuvs/cpp/build/`.
-`requires_gpu` : denotes whether an algorithm requires GPU to run.
+`requires_gpu` : denotes whether an algorithm requires GPU to run.