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intel / ai-containers

This repository contains Dockerfiles, scripts, yaml files, Helm charts, etc. used to scale out AI containers with versions of TensorFlow and PyTorch that have been optimized for Intel platforms. Scaling is done with python, Docker, kubernetes, kubeflow, cnvrg.io, Helm, and other container orchestration frameworks for use in the cloud and on-premise
https://intel.github.io/ai-containers/
Apache License 2.0
23 stars 17 forks source link

Bump the pytorch group across 1 directory with 7 updates #197

Closed dependabot[bot] closed 2 months ago

dependabot[bot] commented 3 months ago

Bumps the pytorch group with 7 updates in the /pytorch directory:

Package From To
torch 2.1.0.post0+cxx11.abi 2.3.1
torchvision 0.16.0.post0+cxx11.abi 0.18.1
torchaudio 2.1.0.post0+cxx11.abi 2.3.1
intel-extension-for-pytorch 2.1.20+xpu 2.3.100+cpu
oneccl-bind-pt 2.1.200 2.3.0+cpu
jupyterlab 4.3.0a0 4.3.0a1
notebook 7.3.0a0 7.3.0a1

Updates torch from 2.1.0.post0+cxx11.abi to 2.3.1

Release notes

Sourced from torch's releases.

PyTorch 2.3.1 Release, bug fix release

This release is meant to fix the following issues (regressions / silent correctness):

Torch.compile:

Distributed:

MPS:

Packaging:

Other:

Release tracker pytorch/pytorch#125425 contains all relevant pull requests related to this release as well as links to related issues.

PyTorch 2.3: User-Defined Triton Kernels in torch.compile, Tensor Parallelism in Distributed

PyTorch 2.3 Release notes

  • Highlights
  • Backwards Incompatible Changes
  • Deprecations
  • New Features
  • Improvements
  • Bug fixes
  • Performance
  • Documentation

Highlights

We are excited to announce the release of PyTorch® 2.3! PyTorch 2.3 offers support for user-defined Triton kernels in torch.compile, allowing for users to migrate their own Triton kernels from eager without experiencing performance complications or graph breaks. As well, Tensor Parallelism improves the experience for training Large Language Models using native PyTorch functions, which has been validated on training runs for 100B parameter models.

This release is composed of 3393 commits and 426 contributors since PyTorch 2.2. We want to sincerely thank our dedicated community for your contributions. As always, we encourage you to try these out and report any issues as we improve 2.3. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page.

... (truncated)

Commits


Updates torchvision from 0.16.0.post0+cxx11.abi to 0.18.1

Release notes

Sourced from torchvision's releases.

TorchVision 0.18.1 Release

This is a patch release, which is compatible with PyTorch 2.3.1. There are no new features added.

TorchVision 0.18 Release

BC-Breaking changes

[datasets] gdown is now a required dependency for downloading datasets that are on Google Drive. This change was actually introduced in 0.17.1 (repeated here for visibility) (#8237) [datasets] The StanfordCars dataset isn’t available for download anymore. Please follow these instructions to manually download it (#8309, #8324) [transforms] to_grayscale and corresponding transform now always return 3 channels when num_output_channels=3 (#8229)

Bug Fixes

[datasets] Fix download URL of EMNIST dataset (#8350) [datasets] Fix root path expansion in Kitti dataset (#8164) [models] Fix default momentum value of BatchNorm2d in MaxViT from 0.99 to 0.01 (#8312) [reference scripts] Fix CutMix and MixUp arguments (#8287) [MPS, build] Link essential libraries in cmake (#8230) [build] Fix build with ffmpeg 6.0 (#8096)

New Features

[transforms] New GrayscaleToRgb transform (#8247) [transforms] New JPEG augmentation transform (#8316)

Improvements

[datasets, io] Added pathlib.Path support to datasets and io utilities. (#8196, #8200, #8314, #8321) [datasets] Added allow_empty parameter to ImageFolder and related utils to support empty classes during image discovery (#8311) [datasets] Raise proper error in CocoDetection when a slice is passed (#8227) [io] Added support for EXIF orientation in JPEG and PNG decoders (#8303, #8279, #8342, #8302) [io] Avoiding unnecessary copies on io.VideoReader with pyav backend (#8173) [transforms] Allow SanitizeBoundingBoxes to sanitize more than labels (#8319) [transforms] Add sanitize_bounding_boxes kernel/functional (#8308) [transforms] Make perspective more numerically stable (#8249) [transforms] Allow 2D numpy arrays as inputs for to_image (#8256) [transforms] Speed-up rotate for 90, 180, 270 degrees (#8295) [transforms] Enabled torch compile on affine transform (#8218) [transforms] Avoid some graph breaks in transforms (#8171) [utils] Add float support to draw_keypoints (#8276) [utils] Add visibility parameter to draw_keypoints (#8225) [utils] Add float support to draw_segmentation_masks (#8150) [utils] Better show overlap section of masks in draw_segmentation_masks (#8213) [Docs] Various documentation improvements (#8341, #8332, #8198, #8318, #8202, #8246, #8208, #8231, #8300, #8197) [code quality] Various code quality improvements (#8273, #8335, #8234, #8345, #8334, #8119, #8251, #8329, #8217, #8180, #8105, #8280, #8161, #8313)

Contributors

We're grateful for our community, which helps us improve torchvision by submitting issues and PRs, and providing feedback and suggestions. The following persons have contributed patches for this release:

... (truncated)

Commits


Updates torchaudio from 2.1.0.post0+cxx11.abi to 2.3.1

Release notes

Sourced from torchaudio's releases.

TorchAudio 2.3.1 Release

This release is compatible with PyTorch 2.3.1 patch release. There are no new features added.

TorchAudio 2.3.0 Release

This release is compatible with PyTorch 2.3.0 patch release. There are no new features added.

This release contains minor documentation and code quality improvements (#3734, #3748, #3757, #3759)

TorchAudio 2.2.2 Release

This release is compatible with PyTorch 2.2.2 patch release. There are no new features added.

TorchAudio 2.2.1 Release

This release is compatible with PyTorch 2.2.1 patch release. There are no new features added.

TorchAudio 2.2.0 Release

New Features

Bug Fixes

Recipe Updates

TorchAudio 2.1.2 Release

This is a patch release, which is compatible with PyTorch 2.1.2. There are no new features added.

v2.1.1

This is a minor release, which is compatible with PyTorch 2.1.1 and includes bug fixes, improvements and documentation updates.

Bug Fixes

  • Cherry-pick 2.1.1: Fix WavLM bundles (#3665)
  • Cherry-pick 2.1.1: Add back compression level in i/o dispatcher backend by (#3666)
Commits


Updates intel-extension-for-pytorch from 2.1.20+xpu to 2.3.100+cpu

Updates oneccl-bind-pt from 2.1.200 to 2.3.0+cpu

Updates jupyterlab from 4.3.0a0 to 4.3.0a1

Release notes

Sourced from jupyterlab's releases.

v4.3.0a1

4.3.0a1

(Full Changelog)

New features added

Enhancements made

Bugs fixed

Maintenance and upkeep improvements

Documentation improvements

... (truncated)

Changelog

Sourced from jupyterlab's changelog.

4.3.0a1

(Full Changelog)

New features added

Enhancements made

Bugs fixed

Maintenance and upkeep improvements

Documentation improvements

... (truncated)

Commits
  • 8585fc8 [ci skip] Publish 4.3.0a1
  • 133a9e4 Update to Playwright 1.45.0 (#16530)
  • a957490 Add option to dismiss "Server Connection Error" dialog for the duration of th...
  • 1d3e4ac Notebook minimap in the virtual scrollbar (#16432)
  • 362818f Fix the description for the main inline completer plugin (#16526)
  • f364345 Implement viewport tracking and reactive rendering in scrollbar (#16392)
  • 5d8216d Fix inline completer configure calls not being propagated correctly (#16508)
  • c6cd12b Bump ws from 8.12.0 to 8.17.1 (#16495)
  • 0e95797 Update JupyterLab 3.x maintenance announcement (#16506)
  • 4789392 Fix the lines placeholder taking up too much space (#16493)
  • Additional commits viewable in compare view


Updates notebook from 7.3.0a0 to 7.3.0a1

Release notes

Sourced from notebook's releases.

v7.3.0a1

7.3.0a1

(Full Changelog)

Enhancements made

Bugs fixed

Contributors to this release

(GitHub contributors page for this release)

@​github-actions | @​jtpio | @​krassowski

Changelog

Sourced from notebook's changelog.

7.3.0a1

(Full Changelog)

Enhancements made

Bugs fixed

Contributors to this release

(GitHub contributors page for this release)

@​github-actions | @​jtpio | @​krassowski

Commits


Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

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You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore major version` will close this group update PR and stop Dependabot creating any more for the specific dependency's major version (unless you unignore this specific dependency's major version or upgrade to it yourself) - `@dependabot ignore minor version` will close this group update PR and stop Dependabot creating any more for the specific dependency's minor version (unless you unignore this specific dependency's minor version or upgrade to it yourself) - `@dependabot ignore ` will close this group update PR and stop Dependabot creating any more for the specific dependency (unless you unignore this specific dependency or upgrade to it yourself) - `@dependabot unignore ` will remove all of the ignore conditions of the specified dependency - `@dependabot unignore ` will remove the ignore condition of the specified dependency and ignore conditions
github-actions[bot] commented 3 months ago

Dependency Review

The following issues were found:

See the Details below.

License Issues

pytorch/requirements.txt

PackageVersionLicenseIssue Type
intel_extension_for_pytorch2.3.100+cpuNullUnknown License

pytorch/torchserve-requirements.txt

PackageVersionLicenseIssue Type
intel_extension_for_pytorch2.3.100+cpuNullUnknown License

pytorch/xpu-requirements.txt

PackageVersionLicenseIssue Type
intel_extension_for_pytorch2.3.100+cpuNullUnknown License
oneccl_bind_pt2.3.0+cpuNullUnknown License
torch2.3.1NullUnknown License

OpenSSF Scorecard

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pip/notebook 7.3.0a1 :green_circle: 4.2
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pip/notebook 7.3.0a0 :green_circle: 4.2
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pip/intel_extension_for_pytorch 2.3.100+cpu UnknownUnknown
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pip/intel_extension_for_pytorch 2.3.100+cpu UnknownUnknown
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pip/intel_extension_for_pytorch 2.3.100+cpu UnknownUnknown
pip/oneccl_bind_pt 2.3.0+cpu UnknownUnknown
pip/torch 2.3.1 :green_circle: 6.4
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pip/torchaudio 2.3.1 :green_circle: 5.3
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pip/intel_extension_for_pytorch 2.1.20+xpu UnknownUnknown
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pip/torch 2.1.0.post0+cxx11.abi :green_circle: 6.4
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pip/torchaudio 2.1.0.post0+cxx11.abi :green_circle: 5.3
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Scanned Manifest Files

pytorch/jupyter-requirements.txt
  • jupyterlab@4.3.0a1
  • notebook@7.3.0a1
  • jupyterlab@4.3.0a0
  • notebook@7.3.0a0
pytorch/requirements.txt
  • intel_extension_for_pytorch@2.3.100+cpu
  • intel_extension_for_pytorch@2.3.0+cpu
pytorch/torchserve-requirements.txt
  • intel_extension_for_pytorch@2.3.100+cpu
  • intel_extension_for_pytorch@2.3.0+cpu
pytorch/xpu-requirements.txt
  • intel_extension_for_pytorch@2.3.100+cpu
  • oneccl_bind_pt@2.3.0+cpu
  • torch@2.3.1
  • torchaudio@2.3.1
  • torchvision@0.18.1
  • intel_extension_for_pytorch@2.1.20+xpu
  • oneccl_bind_pt@2.1.200
  • torch@2.1.0.post0+cxx11.abi
  • torchaudio@2.1.0.post0+cxx11.abi
  • torchvision@0.16.0.post0+cxx11.abi
dependabot[bot] commented 2 months ago

Looks like these dependencies are updatable in another way, so this is no longer needed.