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wheels: dynamically load libcudf.so from libcudf wheel #1447

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Aug 29, 2024
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2 changes: 2 additions & 0 deletions .github/workflows/build.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -85,6 +85,7 @@ jobs:
sha: ${{ inputs.sha }}
date: ${{ inputs.date }}
package-name: cuspatial
package-type: python
wheel-build-cuproj:
secrets: inherit
uses: rapidsai/shared-workflows/.github/workflows/wheels-build.yaml@branch-24.10
Expand All @@ -104,3 +105,4 @@ jobs:
sha: ${{ inputs.sha }}
date: ${{ inputs.date }}
package-name: cuproj
package-type: python
8 changes: 6 additions & 2 deletions ci/build_wheel.sh
Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@ set -euo pipefail

package_name=$1
package_dir=$2
package_type=$3
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I guess this is in anticipation of the C++ wheel? I have a very minor preference for sticking that change in the subsequent PR to make the reason more obvious, but now that it's done let's leave it here.

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Technically yes, but I think it'd be desirable even if we weren't adding a C++ wheel in this repo.

In my mind, rapidsai/shared-workflows#209 and rapidsai/gha-tools#105 shipped with package-type defaulting to python just to avoid having to do updates across all the repos to make progress there.

But that it'd be better to be explicit everywhere (like @bdice mentioned in rapidsai/cudf#15483 (comment)), to avoid issues like rapidsai/cudf#16650.

Anyway yeah, we are adding C++ wheels here very soon so I'll leave this change in here.

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Just to clarify: I wasn't meaning the passing of python to the GHA tool, just the passing of an argument to our script, i.e. we could have hardcoded python in this script and added the package_type parameter in a follow-up.

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ohhhh ok yeah got it, fair


source rapids-configure-sccache
source rapids-date-string
Expand All @@ -18,6 +19,9 @@ cd "${package_dir}"
python -m pip wheel . -w dist -vvv --no-deps --disable-pip-version-check

mkdir -p final_dist
python -m auditwheel repair -w final_dist dist/*
python -m auditwheel repair \
--exclude libcudf.so \
-w final_dist \
dist/*

RAPIDS_PY_WHEEL_NAME="${package_name}_${RAPIDS_PY_CUDA_SUFFIX}" rapids-upload-wheels-to-s3 final_dist
RAPIDS_PY_WHEEL_NAME="${package_name}_${RAPIDS_PY_CUDA_SUFFIX}" rapids-upload-wheels-to-s3 "${package_type}" final_dist
4 changes: 2 additions & 2 deletions ci/build_wheel_cuproj.sh
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
#!/bin/bash
# Copyright (c) 2023, NVIDIA CORPORATION.
# Copyright (c) 2023-2024, NVIDIA CORPORATION.

set -euo pipefail

ci/build_wheel.sh cuproj python/cuproj
ci/build_wheel.sh cuproj python/cuproj python
6 changes: 2 additions & 4 deletions ci/build_wheel_cuspatial.sh
Original file line number Diff line number Diff line change
@@ -1,8 +1,6 @@
#!/bin/bash
# Copyright (c) 2023, NVIDIA CORPORATION.
# Copyright (c) 2023-2024, NVIDIA CORPORATION.

set -euo pipefail

export SKBUILD_CMAKE_ARGS="-DUSE_LIBARROW_FROM_PYARROW=ON"

ci/build_wheel.sh cuspatial python/cuspatial
ci/build_wheel.sh cuspatial python/cuspatial python
16 changes: 9 additions & 7 deletions ci/test_wheel_cuproj.sh
Original file line number Diff line number Diff line change
Expand Up @@ -5,19 +5,21 @@ set -eou pipefail

mkdir -p ./dist
RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-gen ${RAPIDS_CUDA_VERSION})"
RAPIDS_PY_WHEEL_NAME="cuproj_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./dist

# Install additional dependencies
# install build dependencies for fiona
apt update
DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends libgdal-dev
python -m pip install --no-binary fiona 'fiona>=1.8.19,<1.9'

# Download the cuspatial built in the previous step
RAPIDS_PY_WHEEL_NAME="cuspatial_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./local-cuspatial-dep
python -m pip install --no-deps ./local-cuspatial-dep/cuspatial*.whl
# Download the cuproj and cuspatial built in the previous step
RAPIDS_PY_WHEEL_NAME="cuproj_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 python ./dist
RAPIDS_PY_WHEEL_NAME="cuspatial_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 python ./dist

# echo to expand wildcard before adding `[extra]` requires for pip
python -m pip install $(echo ./dist/cuproj*.whl)[test]
python -m pip install \
--no-binary 'fiona' \
"$(echo ./dist/cuspatial*.whl)" \
"$(echo ./dist/cuproj*.whl)[test]" \
'fiona>=1.8.19,<1.9'

rapids-logger "pytest cuproj"
pushd python/cuproj/cuproj
Expand Down
12 changes: 8 additions & 4 deletions ci/test_wheel_cuspatial.sh
Original file line number Diff line number Diff line change
Expand Up @@ -5,15 +5,19 @@ set -eou pipefail

mkdir -p ./dist
RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-gen ${RAPIDS_CUDA_VERSION})"
RAPIDS_PY_WHEEL_NAME="cuspatial_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./dist

# Install additional dependencies
# install build dependencies for fiona
apt update
DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends libgdal-dev
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Fiona appears to ship binary wheels

Wonder if this is only needed for some specific case (didn't see Linux ARM packages for example)

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Is the question why we install fiona with --no-binary? If so, I do think arm is one of the reasons, but it may not be the only one. @trxcllnt might remember more.

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I don't know the original reason, not having ARM packages seems like a likely candidate.

This PR doesn't change anything about it (it's just showing up in the diff because I'm moving other install-related code around), so I'm going to treat this discussion as non-blocking.

python -m pip install --no-binary fiona 'fiona>=1.8.19,<1.9'

# Download the cuspatial built in the previous step
RAPIDS_PY_WHEEL_NAME="cuspatial_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 python ./dist

# echo to expand wildcard before adding `[extra]` requires for pip
python -m pip install $(echo ./dist/cuspatial*.whl)[test]
python -m pip install \
--no-binary 'fiona' \
"$(echo ./dist/cuspatial*.whl)[test]" \
'fiona>=1.8.19,<1.9'

rapids-logger "pytest cuspatial"
pushd python/cuspatial/cuspatial
Expand Down
69 changes: 61 additions & 8 deletions dependencies.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,8 @@ files:
- depends_on_cudf
- depends_on_cuml
- depends_on_cupy
- depends_on_libcudf
- depends_on_librmm
- rapids_build_skbuild
- run_python_cuspatial
- test_libcuspatial
Expand Down Expand Up @@ -77,14 +79,17 @@ files:
- build_cpp
- build_python
- build_wheels
- depends_on_libcudf
- depends_on_librmm
py_run_cuspatial:
output: [pyproject]
pyproject_dir: python/cuspatial
extras:
table: project
includes:
- depends_on_rmm
- depends_on_cudf
- depends_on_libcudf
- depends_on_rmm
- run_python_cuspatial
py_test_cuspatial:
output: [pyproject]
Expand Down Expand Up @@ -141,14 +146,12 @@ dependencies:
common:
- output_types: [conda, requirements, pyproject]
packages:
- ninja
- cmake>=3.26.4,!=3.30.0
- &ninja ninja
- &cmake cmake>=3.26.4,!=3.30.0
- output_types: conda
packages:
- c-compiler
- cxx-compiler
- libcudf==24.10.*,>=0.0.0a0
- librmm==24.10.*,>=0.0.0a0
- proj
- sqlite
specific:
Expand Down Expand Up @@ -184,13 +187,13 @@ dependencies:
common:
- output_types: [conda, requirements, pyproject]
packages:
- ninja
- cmake>=3.26.4,!=3.30.0
- *ninja
- *cmake
- output_types: conda
packages:
- c-compiler
- cxx-compiler
- librmm==24.10.*,>=0.0.0a0
- &librmm_unsuffixed librmm==24.10.*,>=0.0.0a0
- proj
- sqlite
specific:
Expand Down Expand Up @@ -443,6 +446,31 @@ dependencies:
- pylibcudf-cu11==24.10.*,>=0.0.0a0
- {matrix: null, packages: [*cudf_unsuffixed]}

depends_on_libcudf:
common:
- output_types: conda
packages:
- &libcudf_unsuffixed libcudf==24.10.*,>=0.0.0a0
- output_types: requirements
packages:
# pip recognizes the index as a global option for the requirements.txt file
- --extra-index-url=https://pypi.nvidia.com
- --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple
specific:
- output_types: [requirements, pyproject]
matrices:
- matrix:
cuda: "12.*"
cuda_suffixed: "true"
packages:
- libcudf-cu12==24.10.*,>=0.0.0a0
- matrix:
cuda: "11.*"
cuda_suffixed: "true"
packages:
- libcudf-cu11==24.10.*,>=0.0.0a0
- {matrix: null, packages: [*libcudf_unsuffixed]}

depends_on_cuml:
common:
- output_types: conda
Expand Down Expand Up @@ -523,3 +551,28 @@ dependencies:
- libcuspatial==24.10.*,>=0.0.0a0
- cuspatial==24.10.*,>=0.0.0a0
- cuproj==24.10.*,>=0.0.0a0

depends_on_librmm:
common:
- output_types: conda
packages:
- *librmm_unsuffixed
- output_types: requirements
packages:
# pip recognizes the index as a global option for the requirements.txt file
- --extra-index-url=https://pypi.nvidia.com
- --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple
specific:
- output_types: [requirements, pyproject]
matrices:
- matrix:
cuda: "12.*"
cuda_suffixed: "true"
packages:
- librmm-cu12==24.10.*,>=0.0.0a0
- matrix:
cuda: "11.*"
cuda_suffixed: "true"
packages:
- librmm-cu11==24.10.*,>=0.0.0a0
- {matrix: null, packages: [*librmm_unsuffixed]}
6 changes: 1 addition & 5 deletions python/cuspatial/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -44,12 +44,8 @@ if(NOT cuspatial_FOUND)

set(cython_lib_dir cuspatial)
include(cmake/Modules/WheelHelpers.cmake)
# TODO: This install is currently overzealous. We should only install the libraries that are
# downloaded by CPM during the build, not libraries that were found on the system. However, in
# practice this would only be a problem if libcudf was not found but some of the
# dependencies were, and we have no real use cases where that happens.
install_aliased_imported_targets(
TARGETS cuspatial arrow_shared nvcomp::nvcomp nvcomp::nvcomp_gdeflate nvcomp::nvcomp_bitcomp
TARGETS cuspatial
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Actually, now that we've removed all of these targets we should just remove the WheelHelpers altogether and just do a normal CMake install.

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Great point! Done in fe7df5d

DESTINATION ${cython_lib_dir}
)
endif()
Expand Down
4 changes: 4 additions & 0 deletions python/cuspatial/pyproject.toml
Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,7 @@ requires-python = ">=3.10"
dependencies = [
"cudf==24.10.*,>=0.0.0a0",
"geopandas>=0.11.0",
"libcudf==24.10.*,>=0.0.0a0",
"numpy>=1.23,<2.0a0",
"rmm==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`.
Expand Down Expand Up @@ -71,6 +72,7 @@ known_dask = [
known_rapids = [
"rmm",
"cudf",
"libcudf",
"pylibcudf",
]
known_first_party = [
Expand Down Expand Up @@ -134,6 +136,8 @@ requires = [
"cmake>=3.26.4,!=3.30.0",
"cudf==24.10.*,>=0.0.0a0",
"cython>=3.0.0",
"libcudf==24.10.*,>=0.0.0a0",
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Putting this somewhere on the diff so it can be threaded.

Just realized I may have missed one detail that wouldn't be caught in CI.

@vyasr do we want something like https://github.com/rapidsai/cudf/blob/925530afe8178b7e788ea1a8d4df4c0eb4d042dc/python/cudf/cudf/__init__.py#L3-L11 near the top of cuspatial's top-level __init__.py?

I think the answer is yes, so that other libcudf.so lying around in the environment aren't loaded first by some other import.

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Reading the linked code (and where it lives), it seems just doing import cudf would be sufficient

Though please let me know if I'm missing something

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John is right that the import should be sufficient for now. When you create the libcuspatial wheel in the follow-up, though, you'll end up needing to load libcudf there. You can see how I did that in the cugraph PR for raft/cugraph-ops.

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Thanks, added an import cudf in fe7df5d and will adjust when I add libcuspatial.

"librmm==24.10.*,>=0.0.0a0",
"ninja",
"rmm==24.10.*,>=0.0.0a0",
"wheel",
Expand Down
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