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Merge pull request #442 from Sqvid/mk-26.03
Bump hashes for 26.03
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‎ML-Frameworks/pytorch-aarch64/CHANGELOG.md‎

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### Fixed
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## [r26.03] 2026-03-09
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https://github.com/ARM-software/Tool-Solutions/tree/r26.03
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### Added
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### Changed
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- Updates hashes for:
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- `PYTORCH_HASH` to `434b8cfdfac8ef7c741385561e340781ad76512f`, 2.12.0.dev20260227 from viable/strict, Feb 27th.
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- `IDEEP_HASH` to `bbb9ffb9e0c401ca058b7f35a6ebe7d0e08ffd34`, from ideep_pytorch, Jan 16th.
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- `ONEDNN_HASH` to `a83f8b4c7ca45fb339f3ecdf82895bc496941808`, from main, Feb 27th.
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- `TORCH_AO_HASH` to `9bdc0ca87c1134b7c1dedaa9512233b726f22955`, from main, Feb 27th.
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- `KLEIDIAI_HASH` to `98a6df72bdbb566bc7d8ba13d71991bcd94a8393`, v1.22.0 from main, Feb 19th.
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- `OPENBLAS_VERSION` to release v0.3.31, Jan 15th.
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### Removed
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- Removed pytorch/pull/167720 as it has been merged upstream.
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### Fixed
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## [r26.02] 2026-02-11
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https://github.com/ARM-software/Tool-Solutions/tree/r26.02
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‎ML-Frameworks/pytorch-aarch64/README.md‎

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with the wheel installed (along with examples).
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Note: if the environment variable `GITHUB_TOKEN` is set then the build will
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attemmpt to use `GITHUB_TOKEN` for authenticated access when downloading WIP patches.
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This can avoid issues with rate-limiting on annonymous access.
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attempt to use `GITHUB_TOKEN` for authenticated access when downloading WIP patches.
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This can avoid issues with rate-limiting on anonymous access.
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Note: GitHub patches are cached in `utils/patch_cache` to save network
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traffic. This also allows you to use local patches that are not yet upstream by
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#### Commit hashes
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For these dependencies, you should assign the commit hash from the latest commit to the appropriate variable in `versions.sh` (e.g. assign the latest commit hash for PyTorch to `PYTORCH_HASH`).
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Note: use the `CommitDate` for the trailing comments unless otherwise specified (you can run `git show -s --format=%cs <commit-ish>`).
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- PyTorch: https://github.com/pytorch/pytorch/tree/viable/strict
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- Use the latest commit on this branch. Build the wheel to determine the version used in the trailing comment.

‎ML-Frameworks/pytorch-aarch64/get-source.sh‎

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# # CVE-2025-47273 and CVE-2024-6345
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# apply-github-patch pytorch/pytorch 4d344570e5a114fa522e3370c5d59161e2ed8619
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# https://github.com/pytorch/pytorch/pull/167720 - Allow missing cutlass file if CUDA disabled
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apply-github-patch pytorch/pytorch 6fbbfe712d89895824e466a4e3ae6a0f35626078
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# https://github.com/pytorch/pytorch/pull/159859 - PoC LUT optimisation for GELU bf16 operators
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apply-github-patch pytorch/pytorch ebcc874e317f9563ab770fc5c27df969e0438a5e
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# https://github.com/pytorch/pytorch/pull/167328 - Build cpuinfo into c10 shared library
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apply-github-patch pytorch/pytorch 715ba4203ccaa71f7cb8f351fa135110b6f7ecd4
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apply-github-patch pytorch/pytorch e90d7480934224777722d4093795f96c667e5520
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apply-github-patch pytorch/pytorch f5bfabc03efb34416378036ab717512d5611d8f4
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apply-github-patch pytorch/pytorch 7c053dd1582b778c81101dd452708c4ec6e58233
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apply-github-patch pytorch/pytorch b1782bbe0eda5957870e2f6e95b8f167e04843cb
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apply-github-patch pytorch/pytorch 337925aed2babb3ef7808f78536bbbc9df346a4f
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# Remove deps that we don't need for manylinux AArch64 CPU builds before fetching.
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# Only used when jni.h is present (see .ci/pytorch/build.sh:116), which is not the case for manylinux

‎ML-Frameworks/pytorch-aarch64/versions.sh‎

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# For information on how to update the versions below, read the README.md.
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# get-source.sh deps
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PYTORCH_HASH=77da53a7356e033e3fc1e03fdd960fc4ad117882 # 2.11.0.dev20260129 from viable/strict, Jan 29th
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IDEEP_HASH=bbb9ffb9e0c401ca058b7f35a6ebe7d0e08ffd34 # From ideep_pytorch, Jan 30th
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ONEDNN_HASH=804f364c04ad8a763d534abaabc99bf99c2754e0 # From main, Jan 30th
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TORCH_AO_HASH=30fcb156945ecacd515775414d37c09bfe60727e # From main, Jan 30th
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KLEIDIAI_HASH=5addaad73ebbb02e7dde6c50fff3bdb2ae8c407f # v1.20.0 from main, Jan 30th
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PYTORCH_HASH=434b8cfdfac8ef7c741385561e340781ad76512f # 2.12.0.dev20260227 from viable/strict, Feb 27th
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IDEEP_HASH=bbb9ffb9e0c401ca058b7f35a6ebe7d0e08ffd34 # From ideep_pytorch, Jan 16th
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ONEDNN_HASH=a83f8b4c7ca45fb339f3ecdf82895bc496941808 # From main, Feb 27th
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TORCH_AO_HASH=9bdc0ca87c1134b7c1dedaa9512233b726f22955 # From main, Feb 27th
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KLEIDIAI_HASH=98a6df72bdbb566bc7d8ba13d71991bcd94a8393 # v1.22.0 from main, Feb 19th
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# build-wheel.sh deps
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ACL_VERSION="v52.8.0"
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OPENBLAS_VERSION="v0.3.30"
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OPENBLAS_VERSION="v0.3.31"
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# Dockerfile deps
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TORCHVISION_NIGHTLY="0.25.0.dev20260130"

‎ML-Frameworks/tensorflow-aarch64/CHANGELOG.md‎

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### Fixed
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## [r26.03] 2026-03-09
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https://github.com/ARM-software/Tool-Solutions/tree/r26.03
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### Added
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### Changed
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- Updates TensorFlow hash to 535fc05dbac76cec4a446eec0bed866394167c05 from nightly, Feb 25th
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### Removed
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### Fixed
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## [r26.02] 2026-02-11
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https://github.com/ARM-software/Tool-Solutions/tree/r26.02
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‎ML-Frameworks/tensorflow-aarch64/get-source.sh‎

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set -eux -o pipefail
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TENSORFLOW_HASH=3d4958d107b77a2e4398c066971a099a369ef739 # from nightly, Feb 2nd
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TENSORFLOW_HASH=535fc05dbac76cec4a446eec0bed866394167c05 # from nightly, Feb 25th
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git-shallow-clone https://github.com/tensorflow/tensorflow.git $TENSORFLOW_HASH
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‎ML-Frameworks/utils/git-utils.sh‎

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fi
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_git_with_credentials() {
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git -c user.name="apply-github-patch" -c user.email="noreply@example.com" "$@"
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git -c user.name="apply-github-patch" \
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-c user.email="noreply@example.com" \
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-c commit.gpgsign="false" \
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"$@"
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# Approach #1: Try a simple patch application with 'git am'
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_git_with_credentials commit -m "Applied patch $2 from $1."
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return 0
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}
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function setup_submodule() {
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local original_dir=$(pwd)
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rm -rf "$2"
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git clone $1 $2
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cd $2
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git checkout $3
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cd $original_dir
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}
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function reset_submodule() {
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if [ -d "$1" ]; then
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rm -rf "$1"
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fi
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}

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