Revert "Revert "Build C++ wheel (#2264)"" #2306
Closed
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## branch-24.06 #2306 +/- ##
=============================================
Coverage 87.27% 87.27%
=============================================
Files 25 25
Lines 550 550
=============================================
Hits 480 480
Misses 70 70 ☔ View full report in Codecov by Sentry. |
jameslamb
reviewed
Jul 3, 2024
| # Iterate over the array | ||
| for wheelhouse in "${WHEELHOUSES[@]}"; do | ||
| FIND_LINKS+="--find-links ${wheelhouse} " | ||
| done |
There was a problem hiding this comment.
Whenever we pick this back up, I think it'd be preferable to switch away from FIND_LINKS towards a constraint file, as described in rapidsai/build-planning#69 (comment).
|
This PR has gotten stale. Closing. @vyasr please reopen if needed. |
|
Thanks Corey, yes closing is fine. When we get back around to this we can rebase my branch and open a new PR. |
raydouglass
pushed a commit
that referenced
this pull request
Jan 16, 2025
Replaces #2306, contributes to rapidsai/build-planning#33. Proposes packaging `libraft` as a wheel, which is then re-used by: * `pylibraft-cu{11,12}` and `raft-cu{11,12}` (this PR) * `libcugraph-cu{11,12}`, `pylibcugraph-cu{11,12}`, and `cugraph-cu{11,12}` in rapidsai/cugraph#4804 * `libcuml-cu{11,12}` and `cuml-cu{11,12}` in rapidsai/cuml#6199 As part of this, also proposes: * introducing a new CMake option, `RAFT_COMPILE_DYNAMIC_ONLY`, to allow building/installing only the dynamic shared library (i.e. skipping the static library) * enforcing `rapids-cmake`'s preferred CMake style (#2531 (comment)) * making wheel-building CI jobs always depend on other wheel-building CI jobs, not tests or `*-publish` (to reduce end-to-end CI time) ## Notes for Reviewers ### Benefits of these changes * smaller wheels (see "Size Changes" below) * faster compile times (no more re-compiling RAFT in cuGraph and cuML CI) * other benefits mentioned in rapidsai/build-planning#33 ### Wheel contents `libraft`: * `libraft.so` (shared library) * RAFT headers * vendored dependencies (`fmt`, CCCL, `cuco`, `cute`, `cutlass`) `pylibraft`: * `pylibraft` Python / Cython code and compiled Cython extensions `raft-dask`: * `raft-dask` Python / Cython code and compiled Cython extension ### Dependency Flows In short.... `libraft` contains a `libraft.so` dynamic library and the headers to link against it. * Anything that needs to link against RAFT at build time pulls in `libraft` wheels as a build dependency. * Anything that needs RAFT's symbols at runtime pulls it in as a runtime dependency, and calls `libraft.load_library()`. For more details and some flowcharts, see rapidsai/build-planning#33 (comment) ### Size changes (CUDA 12, Python 3.12, x86_64) | wheel | num files (before) | num files (these PRs) | size (before) | size (these PRs) | |:---------------:|------------------:|-----------------:|--------------:|-------------:| | `libraft`. | --- | 3169 | --- | 19M | | `pylibraft` | 64 | 63 | 11M | 1M | | `raft-dask` | 29 | 28 | 188M | 188M | | `libcugraph` | --- | 1762 | --- | 903M | | `pylibcugraph` | 190 | 187 | 901M | 2M | | `cugraph` | 315 | 313 | 899M | 3.0M | | `libcuml` | --- | 1766 | --- | 289M | | `cuml` | 442 | --- | 517M | --- | |**TOTAL** | **1,040** | **7,268** | **2,516M** | **1,405M** | *NOTES: size = compressed, "before" = 2025-01-13 nightlies* <details><summary>how I calculated those (click me)</summary> * `cugraph`: nightly commit = rapidsai/cugraph@8507cbf, PR = rapidsai/cugraph#4804 * `cuml`: nightly commit = rapidsai/cuml@7c715c4, PR = rapidsai/cuml#6199 * `raft`: nightly commit = 1b62c41, PR = this PR ```shell docker run \ --rm \ --network host \ --env RAPIDS_NIGHTLY_DATE=2025-01-13 \ --env CUGRAPH_NIGHTLY_SHA=8507cbf63db2f349136b266d3e6e787b189f45a0 \ --env CUGRAPH_PR="pull-request/4804" \ --env CUGRAPH_PR_SHA="2ef32eaa006a84c0bd16220bb8e8af34198fbee8" \ --env CUML_NIGHTLY_SHA=7c715c494dff71274d0fdec774bdee12a7e78827 \ --env CUML_PR="pull-request/6199" \ --env CUML_PR_SHA="2ef32eaa006a84c0bd16220bb8e8af34198fbee8" \ --env RAFT_NIGHTLY_SHA=1b62c4117a35b11ce3c830daae248e32ebf75e3f \ --env RAFT_PR="pull-request/2531" \ --env RAFT_PR_SHA="0d6597b08919f2aae8ac268f1a68d6a8fe5beb4e" \ --env RAPIDS_PY_CUDA_SUFFIX=cu12 \ --env WHEEL_DIR_BEFORE=/tmp/wheels-before \ --env WHEEL_DIR_AFTER=/tmp/wheels-after \ -it rapidsai/ci-wheel:cuda12.5.1-rockylinux8-py3.12 \ bash # --- nightly wheels --- # mkdir -p ./wheels-before export RAPIDS_BUILD_TYPE=branch export RAPIDS_REF_NAME="branch-25.02" # pylibraft RAPIDS_PY_WHEEL_NAME="pylibraft_${RAPIDS_PY_CUDA_SUFFIX}" \ RAPIDS_REPOSITORY=rapidsai/raft \ RAPIDS_SHA=${RAFT_NIGHTLY_SHA} \ rapids-download-wheels-from-s3 python ./wheels-before # raft-dask RAPIDS_PY_WHEEL_NAME="raft_dask_${RAPIDS_PY_CUDA_SUFFIX}" \ RAPIDS_REPOSITORY=rapidsai/raft \ RAPIDS_SHA=${RAFT_NIGHTLY_SHA} \ rapids-download-wheels-from-s3 python ./wheels-before # cugraph RAPIDS_PY_WHEEL_NAME="cugraph_${RAPIDS_PY_CUDA_SUFFIX}" \ RAPIDS_REPOSITORY=rapidsai/cugraph \ RAPIDS_SHA=${CUGRAPH_NIGHTLY_SHA} \ rapids-download-wheels-from-s3 python ./wheels-before # pylibcugraph RAPIDS_PY_WHEEL_NAME="pylibcugraph_${RAPIDS_PY_CUDA_SUFFIX}" \ RAPIDS_REPOSITORY=rapidsai/cugraph \ RAPIDS_SHA=${CUGRAPH_NIGHTLY_SHA} \ rapids-download-wheels-from-s3 python ./wheels-before # cuml RAPIDS_PY_WHEEL_NAME="cuml_${RAPIDS_PY_CUDA_SUFFIX}" \ RAPIDS_REPOSITORY=rapidsai/cuml \ RAPIDS_SHA=${CUML_NIGHTLY_SHA} \ rapids-download-wheels-from-s3 python ./wheels-before # --- wheels from CI --- # mkdir -p ./wheels-after export RAPIDS_BUILD_TYPE="pull-request" # libraft RAPIDS_PY_WHEEL_NAME="libraft_${RAPIDS_PY_CUDA_SUFFIX}" \ RAPIDS_REPOSITORY=rapidsai/raft \ RAPIDS_REF_NAME="${RAFT_PR}" \ RAPIDS_SHA="${RAFT_PR_SHA}" \ rapids-download-wheels-from-s3 cpp ./wheels-after # pylibraft RAPIDS_PY_WHEEL_NAME="pylibraft_${RAPIDS_PY_CUDA_SUFFIX}" \ RAPIDS_REPOSITORY=rapidsai/raft \ RAPIDS_REF_NAME="${RAFT_PR}" \ RAPIDS_SHA="${RAFT_PR_SHA}" \ rapids-download-wheels-from-s3 python ./wheels-after # raft-dask RAPIDS_PY_WHEEL_NAME="raft_dask_${RAPIDS_PY_CUDA_SUFFIX}" \ RAPIDS_REPOSITORY=rapidsai/raft \ RAPIDS_REF_NAME="${RAFT_PR}" \ RAPIDS_SHA="${RAFT_PR_SHA}" \ rapids-download-wheels-from-s3 python ./wheels-after # libcugraph RAPIDS_PY_WHEEL_NAME="libcugraph_${RAPIDS_PY_CUDA_SUFFIX}" \ RAPIDS_REPOSITORY=rapidsai/cugraph \ RAPIDS_REF_NAME="${CUGRAPH_PR}" \ RAPIDS_SHA="${CUGRAPH_PR_SHA}" \ rapids-download-wheels-from-s3 cpp ./wheels-after # pylibcugraph RAPIDS_PY_WHEEL_NAME="pylibcugraph_${RAPIDS_PY_CUDA_SUFFIX}" \ RAPIDS_REPOSITORY=rapidsai/cugraph \ RAPIDS_REF_NAME="${CUGRAPH_PR}" \ RAPIDS_SHA="${CUGRAPH_PR_SHA}" \ rapids-download-wheels-from-s3 python ./wheels-after # cugraph RAPIDS_PY_WHEEL_NAME="cugraph_${RAPIDS_PY_CUDA_SUFFIX}" \ RAPIDS_REPOSITORY=rapidsai/cugraph \ RAPIDS_REF_NAME="${CUGRAPH_PR}" \ RAPIDS_SHA="${CUGRAPH_PR_SHA}" \ rapids-download-wheels-from-s3 python ./wheels-after # libcuml RAPIDS_PY_WHEEL_NAME="libcuml_${RAPIDS_PY_CUDA_SUFFIX}" \ RAPIDS_REPOSITORY=rapidsai/cuml \ RAPIDS_REF_NAME="${CUML_PR}" \ RAPIDS_SHA="${CUML_PR_SHA}" \ rapids-download-wheels-from-s3 cpp ./wheels-after # cuml RAPIDS_PY_WHEEL_NAME="cuml_${RAPIDS_PY_CUDA_SUFFIX}" \ RAPIDS_REPOSITORY=rapidsai/cuml \ RAPIDS_REF_NAME="${CUML_PR}" \ RAPIDS_SHA="${CUML_PR_SHA}" \ rapids-download-wheels-from-s3 python ./wheels-after pip install pydistcheck pydistcheck \ --inspect \ --select 'distro-too-large-compressed' \ ./wheels-before/*.whl \ | grep -E '^checking|files: | compressed' \ > ./before.txt # get more exact sizes du -sh ./wheels-before/* pydistcheck \ --inspect \ --select 'distro-too-large-compressed' \ ./wheels-after/*.whl \ | grep -E '^checking|files: | compressed' \ > ./after.txt # get more exact sizes du -sh ./wheels-after/* ``` </details> ### How I tested this These other PRs: * rapidsai/devcontainers#435 * rapidsai/cugraph-gnn#110 * rapidsai/cuml#6199 * rapidsai/cugraph#4804
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Reverts #2305
Opening this preemptively for tracking, but no plans to try and merge this for a while (see rapidsai/build-planning#33 (comment)).