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Bump the pip group across 1 directory with 3 updates#4

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Bump the pip group across 1 directory with 3 updates#4
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dependabot/pip/pip-afc78e815f

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@dependabot dependabot bot commented on behalf of github May 21, 2024

Bumps the pip group with 3 updates in the / directory: torch, onnx and requests.

Updates torch from 1.6.0+cu101 to 1.13.1

Release notes

Sourced from torch's releases.

PyTorch 1.13.1 Release, small bug fix release

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

  • RuntimeError by torch.nn.modules.activation.MultiheadAttention with bias=False and batch_first=True #88669
  • Installation via pip on Amazon Linux 2, regression #88869
  • Installation using poetry on Mac M1, failure #88049
  • Missing masked tensor documentation #89734
  • torch.jit.annotations.parse_type_line is not safe (command injection) #88868
  • Use the Python frame safely in _pythonCallstack #88993
  • Double-backward with full_backward_hook causes RuntimeError #88312
  • Fix logical error in get_default_qat_qconfig #88876
  • Fix cuda/cpu check on NoneType and unit test #88854 and #88970
  • Onnx ATen Fallback for BUILD_CAFFE2=0 for ONNX-only ops #88504
  • Onnx operator_export_type on the new registry #87735
  • torchrun AttributeError caused by file_based_local_timer on Windows #85427

The release tracker should contain all relevant pull requests related to this release as well as links to related issues

PyTorch 1.13: beta versions of functorch and improved support for Apple’s new M1 chips are now available

Pytorch 1.13 Release Notes

  • Highlights
  • Backwards Incompatible Changes
  • New Features
  • Improvements
  • Performance
  • Documentation
  • Developers

Highlights

We are excited to announce the release of PyTorch 1.13! This includes stable versions of BetterTransformer. We deprecated CUDA 10.2 and 11.3 and completed migration of CUDA 11.6 and 11.7. Beta includes improved support for Apple M1 chips and functorch, a library that offers composable vmap (vectorization) and autodiff transforms, being included in-tree with the PyTorch release. This release is composed of over 3,749 commits and 467 contributors since 1.12.1. We want to sincerely thank our dedicated community for your contributions.

Summary:

  • The BetterTransformer feature set supports fastpath execution for common Transformer models during Inference out-of-the-box, without the need to modify the model. Additional improvements include accelerated add+matmul linear algebra kernels for sizes commonly used in Transformer models and Nested Tensors is now enabled by default.

  • Timely deprecating older CUDA versions allows us to proceed with introducing the latest CUDA version as they are introduced by Nvidia®, and hence allows support for C++17 in PyTorch and new NVIDIA Open GPU Kernel Modules.

  • Previously, functorch was released out-of-tree in a separate package. After installing PyTorch, a user will be able to import functorch and use functorch without needing to install another package.

  • PyTorch is offering native builds for Apple® silicon machines that use Apple's new M1 chip as a beta feature, providing improved support across PyTorch's APIs.

Stable Beta Prototype
Better TransformerCUDA 10.2 and 11.3 CI/CD Deprecation Enable Intel® VTune™ Profiler's Instrumentation and Tracing Technology APIsExtend NNC to support channels last and bf16Functorch now in PyTorch Core LibraryBeta Support for M1 devices Arm® Compute Library backend support for AWS Graviton CUDA Sanitizer

You can check the blogpost that shows the new features here.

Backwards Incompatible changes

... (truncated)

Changelog

Sourced from torch's changelog.

Releasing PyTorch

Release Compatibility Matrix

Following is the Release Compatibility Matrix for PyTorch releases:

... (truncated)

Commits

Updates onnx from 1.9.0 to 1.16.0

Release notes

Sourced from onnx's releases.

v1.16.0

ONNX v1.16.0 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 21

ai.onnx.ml Opset 4

IR Version 10

  • Added support for UINT4, INT4 types
  • GraphProto, FunctionProto, NodeProto, TensorProto added metadata_props field
  • FunctionProto added value_info field
  • FunctionProto and NodeProto added overload field to support overloaded functions.

Python Changes

  • Support registering custom OpSchemas via Python interface
  • Support Python3.12

Security Updates

  • Fix path sanitization bypass leading to arbitrary read (CVE-2024-27318)
  • Fix Out of bounds read due to lack of string termination in assert (CVE-2024-27319)

Deprecation notice

Bug fixes and infrastructure improvements

  • Enable empty list of values as attribute (#5559)
  • Add backward conversions from 18->17 for reduce ops (#5606)
  • DFT-20 version converter (#5613)
  • Fix version-converter to generate valid identifiers (#5628)
  • Reserve removed proto fields (#5643)
  • Cleanup shape inference implementation (#5596)
  • Do not use LFS64 on non-glibc linux (#5669)
  • Drop "one of" default attribute check in LabelEncoder (#5673)
  • TreeEnsemble base values for the reference implementation (#5665)
  • Parser/printer support external data format (#5688)
  • [cmake] Place export target file in the correct directory (#5677)

... (truncated)

Commits

Updates requests from 2.25.1 to 2.32.0

Release notes

Sourced from requests's releases.

v2.32.0

2.32.0 (2024-05-20)

🐍 PYCON US 2024 EDITION 🐍

Security

  • Fixed an issue where setting verify=False on the first request from a Session will cause subsequent requests to the same origin to also ignore cert verification, regardless of the value of verify. (GHSA-9wx4-h78v-vm56)

Improvements

  • verify=True now reuses a global SSLContext which should improve request time variance between first and subsequent requests. It should also minimize certificate load time on Windows systems when using a Python version built with OpenSSL 3.x. (#6667)
  • Requests now supports optional use of character detection (chardet or charset_normalizer) when repackaged or vendored. This enables pip and other projects to minimize their vendoring surface area. The Response.text() and apparent_encoding APIs will default to utf-8 if neither library is present. (#6702)

Bugfixes

  • Fixed bug in length detection where emoji length was incorrectly calculated in the request content-length. (#6589)
  • Fixed deserialization bug in JSONDecodeError. (#6629)
  • Fixed bug where an extra leading / (path separator) could lead urllib3 to unnecessarily reparse the request URI. (#6644)

Deprecations

  • Requests has officially added support for CPython 3.12 (#6503)
  • Requests has officially added support for PyPy 3.9 and 3.10 (#6641)
  • Requests has officially dropped support for CPython 3.7 (#6642)
  • Requests has officially dropped support for PyPy 3.7 and 3.8 (#6641)

Documentation

  • Various typo fixes and doc improvements.

Packaging

  • Requests has started adopting some modern packaging practices. The source files for the projects (formerly requests) is now located in src/requests in the Requests sdist. (#6506)
  • Starting in Requests 2.33.0, Requests will migrate to a PEP 517 build system using hatchling. This should not impact the average user, but extremely old versions of packaging utilities may have issues with the new packaging format.

New Contributors

... (truncated)

Changelog

Sourced from requests's changelog.

2.32.0 (2024-05-20)

Security

  • Fixed an issue where setting verify=False on the first request from a Session will cause subsequent requests to the same origin to also ignore cert verification, regardless of the value of verify. (GHSA-9wx4-h78v-vm56)

Improvements

  • verify=True now reuses a global SSLContext which should improve request time variance between first and subsequent requests. It should also minimize certificate load time on Windows systems when using a Python version built with OpenSSL 3.x. (#6667)
  • Requests now supports optional use of character detection (chardet or charset_normalizer) when repackaged or vendored. This enables pip and other projects to minimize their vendoring surface area. The Response.text() and apparent_encoding APIs will default to utf-8 if neither library is present. (#6702)

Bugfixes

  • Fixed bug in length detection where emoji length was incorrectly calculated in the request content-length. (#6589)
  • Fixed deserialization bug in JSONDecodeError. (#6629)
  • Fixed bug where an extra leading / (path separator) could lead urllib3 to unnecessarily reparse the request URI. (#6644)

Deprecations

  • Requests has officially added support for CPython 3.12 (#6503)
  • Requests has officially added support for PyPy 3.9 and 3.10 (#6641)
  • Requests has officially dropped support for CPython 3.7 (#6642)
  • Requests has officially dropped support for PyPy 3.7 and 3.8 (#6641)

Documentation

  • Various typo fixes and doc improvements.

Packaging

  • Requests has started adopting some modern packaging practices. The source files for the projects (formerly requests) is now located in src/requests in the Requests sdist. (#6506)
  • Starting in Requests 2.33.0, Requests will migrate to a PEP 517 build system using hatchling. This should not impact the average user, but extremely old versions of packaging utilities may have issues with the new packaging format.

2.31.0 (2023-05-22)

Security

... (truncated)

Commits
  • d6ebc4a v2.32.0
  • 9a40d12 Avoid reloading root certificates to improve concurrent performance (#6667)
  • 0c030f7 Merge pull request #6702 from nateprewitt/no_char_detection
  • 555b870 Allow character detection dependencies to be optional in post-packaging steps
  • d6dded3 Merge pull request #6700 from franekmagiera/update-redirect-to-invalid-uri-test
  • bf24b7d Use an invalid URI that will not cause httpbin to throw 500
  • 2d5f547 Pin 3.8 and 3.9 runners back to macos-13 (#6688)
  • f1bb07d Merge pull request #6687 from psf/dependabot/github_actions/github/codeql-act...
  • 60047ad Bump github/codeql-action from 3.24.0 to 3.25.0
  • 31ebb81 Merge pull request #6682 from frenzymadness/pytest8
  • Additional commits viewable in compare view

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@dependabot
34cb822 
---
updated-dependencies:
- dependency-name: torch
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: onnx
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: requests
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label May 21, 2024
This was referenced May 21, 2024
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