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@dependabot dependabot Bot commented on behalf of github Jun 23, 2025

Updates the requirements on onnx, tqdm, joblib, opencv-python, scikit-learn and torch to permit the latest version.
Updates onnx to 1.18.0

Release notes

Sourced from onnx's releases.

v1.18.0

ONNX v1.18.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

Key Updates

ai.onnx Opset 23

Attention, Cast, CastLike, Constant, ConstantOfShape, DequantizeLinear, Flatten, Identity, If, Loop, Pad, QuantizeLinear, RMSNormalization, Reshape, RotaryEmbedding, Scan, Shape, Size, Squeeze, Transpose, Unsqueeze

IR Version 11

  • Added FLOAT4E2M1 and multi-device configuration support
  • Relaxed naming requirements (onnx/onnx#6652)

Python support

  • Support Python 3.13
  • Experimental support for Python 3.13t (Windows, Mac)
  • Removed support for Python 3.8
  • wheels for Windows Arm64

Build

  • Minimum protobuf version is upgraded to v25.1
  • A new option ONNX_BUILD_CUSTOM_PROTOBUF is added for CMAKE (onnx/onnx#6495)

What's Changed

Breaking Changes and Deprecations

  • Remove/raise exception when external file exists during onnx.save by @​tonypottera24 in onnx/onnx#6497
  • Remove python 3.8 workflows (python 3.8 is eol) by @​cyyever in onnx/onnx#6434
  • Deprecate all type casting functions by @​justinchuby in onnx/onnx#6639 => scheduled to remove in 1.20
  • GroupNormalization-18 is now deprecated and replaced by GroupNormalization-23 due to an incorrect definition (#6358)
  • helper.split_complex_to_pairs is now private. Users can consider duplicating the underlying logic for their own use.

Spec and Operator

Reference Implementation

... (truncated)

Changelog

Sourced from onnx's changelog.

Operator Changelog

This file is automatically generated from the def files via this script. Do not modify directly and instead edit operator definitions.

For an operator input/output's differentiability, it can be differentiable, non-differentiable, or undefined. If a variable's differentiability is not specified, that variable has undefined differentiability.

ai.onnx.ml

Version 1 of the 'ai.onnx.ml' operator set

ai.onnx.ml.ArrayFeatureExtractor-1

Select elements of the input tensor based on the indices passed. The indices are applied to the last axes of the tensor.

Version

This version of the operator has been available since version 1 of the 'ai.onnx.ml' operator set.

Inputs

Outputs

Type Constraints

ai.onnx.ml.Binarizer-1

Maps the values of the input tensor to either 0 or 1, element-wise, based on the outcome of a comparison against a threshold value.

Version

... (truncated)

Commits

Updates tqdm from 4.64.1 to 4.66.3

Release notes

Sourced from tqdm's releases.

tqdm v4.66.3 stable

tqdm v4.66.2 stable

  • pandas: add DataFrame.progress_map (#1549)
  • notebook: fix HTML padding (#1506)
  • keras: fix resuming training when verbose>=2 (#1508)
  • fix format_num negative fractions missing leading zero (#1548)
  • fix Python 3.12 DeprecationWarning on import (#1519)
  • linting: use f-strings (#1549)
  • update tests (#1549)
  • CI: bump actions (#1549)

tqdm v4.66.1 stable

  • fix utils.envwrap types (#1493 <- #1491, #1320 <- #966, #1319)
    • e.g. cloudwatch & kubernetes workaround: export TQDM_POSITION=-1
  • drop mentions of unsupported Python versions

tqdm v4.66.0 stable

  • environment variables to override defaults (TQDM_*) (#1491 <- #1061, #950 <- #614, #1318, #619, #612, #370)
    • e.g. in CI jobs, export TQDM_MININTERVAL=5 to avoid log spam
    • add tests & docs for tqdm.utils.envwrap
  • fix & update CLI completion
  • fix & update API docs
  • minor code tidy: replace os.path => pathlib.Path
  • fix docs image hosting
  • release with CI bot account again (cli/cli#6680)

tqdm v4.65.2 stable

  • exclude examples from distributed wheel (#1492)

tqdm v4.65.1 stable

  • migrate setup.{cfg,py} => pyproject.toml (#1490)
    • fix asv benchmarks
    • update docs
  • fix snap build (#1490)
  • fix & update tests (#1490)
    • fix flaky notebook tests
    • bump pre-commit
    • bump workflow actions

tqdm v4.65.0 stable

  • add Python 3.11 and drop Python 3.6 support (#1439, #1419, #502 <- #720, #620)
  • misc code & docs tidy
  • fix & update CI workflows & tests
Commits

Updates joblib from 0.16 to 1.2.0

Changelog

Sourced from joblib's changelog.

Release 1.2.0

  • Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

  • Make sure that joblib works even when multiprocessing is not available, for instance with Pyodide joblib/joblib#1256

  • Avoid unnecessary warnings when workers and main process delete the temporary memmap folder contents concurrently. joblib/joblib#1263

  • Fix memory alignment bug for pickles containing numpy arrays. This is especially important when loading the pickle with mmap_mode != None as the resulting numpy.memmap object would not be able to correct the misalignment without performing a memory copy. This bug would cause invalid computation and segmentation faults with native code that would directly access the underlying data buffer of a numpy array, for instance C/C++/Cython code compiled with older GCC versions or some old OpenBLAS written in platform specific assembly. joblib/joblib#1254

  • Vendor cloudpickle 2.2.0 which adds support for PyPy 3.8+.

  • Vendor loky 3.3.0 which fixes several bugs including:

    • robustly forcibly terminating worker processes in case of a crash (joblib/joblib#1269);

    • avoiding leaking worker processes in case of nested loky parallel calls;

    • reliability spawn the correct number of reusable workers.

Release 1.1.1

  • Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

Release 1.1.0

  • Fix byte order inconsistency issue during deserialization using joblib.load

... (truncated)

Commits
  • 5991350 Release 1.2.0
  • 3fa2188 MAINT cleanup numpy warnings related to np.matrix in tests (#1340)
  • cea26ff CI test the future loky-3.3.0 branch (#1338)
  • 8aca6f4 MAINT: remove pytest.warns(None) warnings in pytest 7 (#1264)
  • 067ed4f XFAIL test_child_raises_parent_exits_cleanly with multiprocessing (#1339)
  • ac4ebd5 MAINT add back pytest warnings plugin (#1337)
  • a23427d Test child raises parent exits cleanly more reliable on macos (#1335)
  • ac09691 [MAINT] various test updates (#1334)
  • 4a314b1 Vendor loky 3.2.0 (#1333)
  • bdf47e9 Make test_parallel_with_interactively_defined_functions_default_backend timeo...
  • Additional commits viewable in compare view

Updates opencv-python from 4.4.0.42 to 4.8.1.78

Release notes

Sourced from opencv-python's releases.

4.8.1.78

OpenCV 4.8.1 release.

Important changes:

4.8.0.76

Adds cv2.typing to package. Close #869

4.8.0.74

Important changes:

  • #20370 Python typing stubs.
  • #23350 Fix reference counting errors in registerNewType.
  • #23399, #23436, #23138 Fixed ChAruco and diamond boards detector bindings.
  • #23371 Added bindings to allow GpuMat and Stream objects to be initialized from memory initialized in other libraries
  • #23691 np.float16 support.
  • Python bindings for RotatedRect, CV_MAKETYPE, CV_8UC(n).
  • Several build fixes for OpenCV-Python package

4.7.0.72

OpenCV 4.7.0 with various distribution bug fixes.

  • Mac OS 11 support.
  • Old Linux support with zlib version older than 1.9.
  • Package build fixes for Python 11 on Musl C based system (Alpine).

4.7.0.70

OpenCV 4.7.0 with various distribution bug fixes.

  • Mac OS 11 support.
  • Old Linux support with zlib version older than 1.9.
  • Package build fixes for Python 11 on Musl C based system (Alpine).

4.7.0.68

opencv-python: https://pypi.org/project/opencv-python/ opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/ opencv-python-headless: https://pypi.org/project/opencv-python-headless/ opencv-contrib-python-headless: https://pypi.org/project/opencv-contrib-python-headless/

OpenCV 4.7.0

Changes:

  • Updated third-party libraries to fix potential vulnerabilities.
  • Dropped Python 3.6 support.
  • Added Python 3.11 support.

4.6.0.66

opencv-python: https://pypi.org/project/opencv-python/ opencv-contrib-python: https://pypi.org/project/opencv-contrib-python/ opencv-python-headless: https://pypi.org/project/opencv-python-headless/

... (truncated)

Commits

Updates onnx from 1.17.0 to 1.18.0

Release notes

Sourced from onnx's releases.

v1.18.0

ONNX v1.18.0 is now available with exciting new features! We would like to thank everyone who contributed to this release! Please visit onnx.ai to learn more about ONNX and associated projects.

Key Updates

ai.onnx Opset 23

Attention, Cast, CastLike, Constant, ConstantOfShape, DequantizeLinear, Flatten, Identity, If, Loop, Pad, QuantizeLinear, RMSNormalization, Reshape, RotaryEmbedding, Scan, Shape, Size, Squeeze, Transpose, Unsqueeze

IR Version 11

  • Added FLOAT4E2M1 and multi-device configuration support
  • Relaxed naming requirements (onnx/onnx#6652)

Python support

  • Support Python 3.13
  • Experimental support for Python 3.13t (Windows, Mac)
  • Removed support for Python 3.8
  • wheels for Windows Arm64

Build

  • Minimum protobuf version is upgraded to v25.1
  • A new option ONNX_BUILD_CUSTOM_PROTOBUF is added for CMAKE (onnx/onnx#6495)

What's Changed

Breaking Changes and Deprecations

  • Remove/raise exception when external file exists during onnx.save by @​tonypottera24 in onnx/onnx#6497
  • Remove python 3.8 workflows (python 3.8 is eol) by @​cyyever in onnx/onnx#6434
  • Deprecate all type casting functions by @​justinchuby in onnx/onnx#6639 => scheduled to remove in 1.20
  • GroupNormalization-18 is now deprecated and replaced by GroupNormalization-23 due to an incorrect definition (#6358)
  • helper.split_complex_to_pairs is now private. Users can consider duplicating the underlying logic for their own use.

Spec and Operator

Reference Implementation

... (truncated)

Changelog

Sourced from onnx's changelog.

Operator Changelog

This file is automatically generated from the def files via this script. Do not modify directly and instead edit operator definitions.

For an operator input/output's differentiability, it can be differentiable, non-differentiable, or undefined. If a variable's differentiability is not specified, that variable has undefined differentiability.

ai.onnx.ml

Version 1 of the 'ai.onnx.ml' operator set

ai.onnx.ml.ArrayFeatureExtractor-1

Select elements of the input tensor based on the indices passed. The indices are applied to the last axes of the tensor.

Version

This version of the operator has been available since version 1 of the 'ai.onnx.ml' operator set.

Inputs

Outputs

Type Constraints

ai.onnx.ml.Binarizer-1

Maps the values of the input tensor to either 0 or 1, element-wise, based on the outcome of a comparison against a threshold value.

Version

... (truncated)

Commits

Updates joblib from 1.0.1 to 1.2.0

Changelog

Sourced from joblib's changelog.

Release 1.2.0

  • Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

  • Make sure that joblib works even when multiprocessing is not available, for instance with Pyodide joblib/joblib#1256

  • Avoid unnecessary warnings when workers and main process delete the temporary memmap folder contents concurrently. joblib/joblib#1263

  • Fix memory alignment bug for pickles containing numpy arrays. This is especially important when loading the pickle with mmap_mode != None as the resulting numpy.memmap object would not be able to correct the misalignment without performing a memory copy. This bug would cause invalid computation and segmentation faults with native code that would directly access the underlying data buffer of a numpy array, for instance C/C++/Cython code compiled with older GCC versions or some old OpenBLAS written in platform specific assembly. joblib/joblib#1254

  • Vendor cloudpickle 2.2.0 which adds support for PyPy 3.8+.

  • Vendor loky 3.3.0 which fixes several bugs including:

    • robustly forcibly terminating worker processes in case of a crash (joblib/joblib#1269);

    • avoiding leaking worker processes in case of nested loky parallel calls;

    • reliability spawn the correct number of reusable workers.

Release 1.1.1

  • Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. joblib/joblib#1327

Release 1.1.0

  • Fix byte order inconsistency issue during deserialization using joblib.load

... (truncated)

Commits
  • 5991350 Release 1.2.0
  • 3fa2188 MAINT cleanup numpy warnings related to np.matrix in tests (#1340)
  • cea26ff CI test the future loky-3.3.0 branch (#1338)
  • 8aca6f4 MAINT: remove pytest.warns(None) warnings in pytest 7 (#1264)
  • 067ed4f XFAIL test_child_raises_parent_exits_cleanly with multiprocessing (#1339)
  • ac4ebd5 MAINT add back pytest warnings plugin (#1337)
  • a23427d Test child raises parent exits cleanly more reliable on macos (#1335)
  • ac09691 [MAINT] various test updates (#1334)
  • 4a314b1 Vendor loky 3.2.0 (#1333)
  • bdf47e9 Make test_parallel_with_interactively_defined_functions_default_backend timeo...
  • Additional commits viewable in compare view

Updates scikit-learn from 1.0 to 1.5.0

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.0

We're happy to announce the 1.5.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.5.html

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

Scikit-learn 1.4.2

We're happy to announce the 1.4.2 release.

This release only includes support for numpy 2.

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

Scikit-learn 1.4.1.post1

We're happy to announce the 1.4.1.post1 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1-post1

This version supports Python versions 3.9 to 3.12.

You can upgrade with pip as usual:

pip install -U scikit-learn

The conda-forge builds can be installed using:

conda install -c conda-forge scikit-learn

... (truncated)

Commits

Updates tqdm from 4.53.0 to 4.66.3

Release notes

Sourced from tqdm's releases.

tqdm v4.66.3 stable

tqdm v4.66.2 stable

  • pandas: add DataFrame.progress_map (#1549)
  • notebook: fix HTML padding (#1506)
  • keras: fix resuming training when verbose>=2 (#1508)
  • fix format_num negative fractions missing leading zero (#1548)
  • fix Python 3.12 DeprecationWarning on import (#1519)
  • linting: use f-strings (#1549)
  • update tests (#1549)
  • CI: bump actions (#1549)

tqdm v4.66.1 stable

  • fix utils.envwrap types (#1493 <- #1491, #1320 <- #966, #1319)
    • e.g. cloudwatch & kubernetes workaround: export TQDM_POSITION=-1
  • drop mentions of unsupported Python versions

tqdm v4.66.0 stable

  • environment variables to override defaults (TQDM_*) (#1491 <- #1061, #950 <- #614, #1318, #619, #612, #370)
    • e.g. in CI jobs, export TQDM_MININTERVAL=5 to avoid log spam
    • add tests & docs for tqdm.utils.envwrap
  • fix & update CLI completion
  • fix & update API docs
  • minor code tidy: replace os.path => pathlib.Path
  • fix docs image hosting
  • release with CI bot account again (cli/cli#6680)

tqdm v4.65.2 stable

  • exclude examples from distributed wheel (#1492)

tqdm v4.65.1 stable

  • migrate setup.{cfg,py} => pyproject.toml (#1490)
    • fix asv benchmarks
    • update docs
  • fix snap build (#1490)
  • fix & update tests (#1490)
    • fix flaky notebook tests
    • bump pre-commit
    • bump workflow actions

tqdm v4.65.0 stable

  • add Python 3.11 and drop Python 3.6 support (#1439, #1419, #502 <- #720, #620)
  • misc code & docs tidy
  • fix & update CI workflows & tests
Commits

Updates tqdm from 4.53.0 to 4.66.3

Release notes

Sourced from tqdm's releases.

tqdm v4.66.3 stable

tqdm v4.66.2 stable

  • pandas: add DataFrame.progress_map (#1549)
  • notebook: fix HTML padding (#1506)
  • keras: fix resuming training when verbose>=2 (#1508)
  • fix format_num negative fractions missing leading zero (#1548)
  • fix Python 3.12 DeprecationWarning on import (#1519)
  • linting: use f-strings (#1549)
  • update tests (#1549)
  • CI: bump actions (#1549)

tqdm v4.66.1 stable

  • fix utils.envwrap types (#1493 <- #1491, #1320 <- #966, #1319)
    • e.g. cloudwatch & kubernetes workaround: export TQDM_POSITION=-1
  • drop mentions of unsupported Python versions

tqdm v4.66.0 stable

  • environment variables to override defaults (TQDM_*) (#1491 <- #1061, #950 <- #614, #1318, #619, #612, #370)
    • e.g. in CI jobs, export TQDM_MININTERVAL=5 to avoid log spam
    • add tests & docs for tqdm.utils.envwrap
  • fix & update CLI completion
  • fix & update API docs
  • minor code tidy: replace os.path => pathlib.Path
  • fix docs image hosting
  • release with CI bot account again (cli/cli#6680)

tqdm v4.65.2 stable

  • exclude examples from distributed wheel (#1492)

tqdm v4.65.1 stable

  • migrate setup.{cfg,py} => pyproject.toml (#1490)
    • fix asv benchmarks
    • update docs
  • fix snap build (#1490)
  • fix & update tests (#1490)
    • fix flaky notebook tests
    • bump pre-commit
    • bump workflow actions

tqdm v4.65.0 stable

  • add Python 3.11 and drop Python 3.6 support (#1439, #1419, #502 <- #720, #620)
  • misc code & docs tidy
  • fix & update CI workflows & tests
Commits

Updates tqdm from 4.53.0 to 4.66.3

Release notes

Sourced from tqdm's releases.

tqdm v4.66.3 stable

tqdm v4.66.2 stable

  • pandas: add DataFrame.progress_map (#1549)
  • notebook: fix HTML padding (#1506)
  • keras: fix resuming training when verbose>=2 (#1508)
  • fix format_num negative fractions missing leading zero (#1548)
  • fix Python 3.12 DeprecationWarning on import (#1519)
  • linting: use f-strings (#1549)
  • update tests (#1549)
  • CI: bump actions (#1549)

tqdm v4.66.1 stable

  • fix utils.envwrap types (#1493 <- #1491, #1320 <- #966, #1319)
    • e.g. cloudwatch & kubernetes workaround: export TQDM_POSITION=-1
  • drop mentions of unsupported Python versions

tqdm v4.66.0 stable

  • environment variables to override defaults (TQDM_*) (#1491 <- #1061, #950 <- #614, #1318, #619, #612, #370)
    • e.g. in CI jobs, export TQDM_MININTERVAL=5 to avoid log spam
    • add tests & docs for tqdm.utils.envwrap
  • fix & update CLI completion
  • fix & update API docs
  • minor code tidy: replace os.path => pathlib.Path
  • fix docs image hosting
  • release with CI bot account again (cli/cli#6680)

tqdm v4.65.2 stable

  • exclude examples from distributed wheel (#1492)

tqdm v4.65.1 stable

  • migrate setup.{cfg,py} => pyproject.toml (#1490)
    • fix asv benchmarks
    • update docs
  • fix snap build (#1490)
  • fix & update tests (#1490)
    • fix flaky notebook tests
    • bump pre-commit
    • bump workflow actions

tqdm v4.65.0 stable

  • add Python 3.11 and drop Python 3.6 ...

    Description has been truncated

@dependabot
Bump the pip group across 12 directories with 6 updates
06a1432 
Updates the requirements on [onnx](https://github.com/onnx/onnx), [tqdm](https://github.com/tqdm/tqdm), [joblib](https://github.com/joblib/joblib), [opencv-python](https://github.com/opencv/opencv-python), [scikit-learn](https://github.com/scikit-learn/scikit-learn) and [torch](https://github.com/pytorch/pytorch) to permit the latest version.

Updates `onnx` to 1.18.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.8.0...v1.18.0)

Updates `tqdm` from 4.64.1 to 4.66.3
- [Release notes](https://github.com/tqdm/tqdm/releases)
- [Commits](tqdm/tqdm@v4.64.1...v4.66.3)

Updates `joblib` from 0.16 to 1.2.0
- [Release notes](https://github.com/joblib/joblib/releases)
- [Changelog](https://github.com/joblib/joblib/blob/main/CHANGES.rst)
- [Commits](joblib/joblib@0.16.0...1.2.0)

Updates `opencv-python` from 4.4.0.42 to 4.8.1.78
- [Release notes](https://github.com/opencv/opencv-python/releases)
- [Commits](https://github.com/opencv/opencv-python/commits)

Updates `onnx` from 1.17.0 to 1.18.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.8.0...v1.18.0)

Updates `joblib` from 1.0.1 to 1.2.0
- [Release notes](https://github.com/joblib/joblib/releases)
- [Changelog](https://github.com/joblib/joblib/blob/main/CHANGES.rst)
- [Commits](joblib/joblib@0.16.0...1.2.0)

Updates `scikit-learn` from 1.0 to 1.5.0
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.0...1.5.0)

Updates `tqdm` from 4.53.0 to 4.66.3
- [Release notes](https://github.com/tqdm/tqdm/releases)
- [Commits](tqdm/tqdm@v4.64.1...v4.66.3)

Updates `tqdm` from 4.53.0 to 4.66.3
- [Release notes](https://github.com/tqdm/tqdm/releases)
- [Commits](tqdm/tqdm@v4.64.1...v4.66.3)

Updates `tqdm` from 4.53.0 to 4.66.3
- [Release notes](https://github.com/tqdm/tqdm/releases)
- [Commits](tqdm/tqdm@v4.64.1...v4.66.3)

Updates `onnx` from 1.5.0 to 1.17.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.8.0...v1.18.0)

Updates `torch` from 2.7.0 to 2.7.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.7.0...v2.7.1)

Updates `onnx` to 1.18.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.8.0...v1.18.0)

Updates `tqdm` from 4.62 to 4.66.3
- [Release notes](https://github.com/tqdm/tqdm/releases)
- [Commits](tqdm/tqdm@v4.64.1...v4.66.3)

Updates `joblib` from 1.2.0 to 1.5.1
- [Release notes](https://github.com/joblib/joblib/releases)
- [Changelog](https://github.com/joblib/joblib/blob/main/CHANGES.rst)
- [Commits](joblib/joblib@0.16.0...1.2.0)

Updates `scikit-learn` from 1.5.1 to 1.6.1
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.0...1.5.0)

Updates `onnx` to 1.18.0
- [Release notes](https://github.com/onnx/onnx/releases)
- [Changelog](https://github.com/onnx/onnx/blob/main/docs/Changelog-ml.md)
- [Commits](onnx/onnx@v1.8.0...v1.18.0)

---
updated-dependencies:
- dependency-name: onnx
  dependency-version: 1.18.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: tqdm
  dependency-version: 4.66.3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: joblib
  dependency-version: 1.2.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: opencv-python
  dependency-version: 4.8.1.78
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.18.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: joblib
  dependency-version: 1.2.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: scikit-learn
  dependency-version: 1.5.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: tqdm
  dependency-version: 4.66.3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: tqdm
  dependency-version: 4.66.3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: tqdm
  dependency-version: 4.66.3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.17.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.7.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.18.0
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: tqdm
  dependency-version: 4.66.3
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: joblib
  dependency-version: 1.5.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: scikit-learn
  dependency-version: 1.6.1
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-version: 1.18.0
  dependency-type: direct:production
  dependency-group: pip
...

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@dependabot dependabot Bot added Dependencies Pull request that update a dependency file python Pull requests that update python code labels Jun 23, 2025
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