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Bump torch from 2.1.1 to 2.2.0 #1180

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@dependabot dependabot bot commented on behalf of github Jul 25, 2024

Bumps torch from 2.1.1 to 2.2.0.

Release notes

Sourced from torch's releases.

PyTorch 2.2: FlashAttention-v2, AOTInductor

PyTorch 2.2 Release Notes

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

Highlights

We are excited to announce the release of PyTorch® 2.2! PyTorch 2.2 offers ~2x performance improvements to scaled_dot_product_attention via FlashAttention-v2 integration, as well as AOTInductor, a new ahead-of-time compilation and deployment tool built for non-python server-side deployments.

This release also includes improved torch.compile support for Optimizers, a number of new inductor optimizations, and a new logging mechanism called TORCH_LOGS.

Please note that we are deprecating macOS x86 support, and PyTorch 2.2.x will be the last version that supports macOS x64.

Along with 2.2, we are also releasing a series of updates to the PyTorch domain libraries. More details can be found in the library updates blog.

This release is composed of 3,628 commits and 521 contributors since PyTorch 2.1. 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 2.2. More information about how to get started with the PyTorch 2-series can be found at our Getting Started page.

Summary:

  • scaled_dot_product_attention (SDPA) now supports FlashAttention-2, yielding around 2x speedups compared to previous versions.
  • PyTorch 2.2 introduces a new ahead-of-time extension of TorchInductor called AOTInductor, designed to compile and deploy PyTorch programs for non-python server-side.
  • torch.distributed supports a new abstraction for initializing and representing ProcessGroups called device_mesh.
  • PyTorch 2.2 ships a standardized, configurable logging mechanism called TORCH_LOGS.
  • A number of torch.compile improvements are included in PyTorch 2.2, including improved support for compiling Optimizers and improved TorchInductor fusion and layout optimizations.
  • Please note that we are deprecating macOS x86 support, and PyTorch 2.2.x will be the last version that supports macOS x64.
  • torch.ao.quantization now offers a prototype torch.export based flow

... (truncated)

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@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Jul 25, 2024
@dependabot dependabot bot force-pushed the dependabot/pip/torch-2.2.0 branch from 6affae4 to 68c1abc Compare August 6, 2024 11:56
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Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 84.78%. Comparing base (bd74273) to head (c6541c7).
Report is 1 commits behind head on master.

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Additional details and impacted files
@@           Coverage Diff           @@
##           master    #1180   +/-   ##
=======================================
  Coverage   84.78%   84.78%           
=======================================
  Files         104      104           
  Lines        8983     8983           
=======================================
  Hits         7616     7616           
  Misses       1367     1367           
Flag Coverage Δ
unittests 84.78% <ø> (ø)

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@dependabot dependabot bot force-pushed the dependabot/pip/torch-2.2.0 branch 5 times, most recently from a8d3a7a to 59b1d70 Compare August 10, 2024 17:29
Bumps [torch](https://github.com/pytorch/pytorch) from 2.1.1 to 2.2.0.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.1.1...v2.2.0)

---
updated-dependencies:
- dependency-name: torch
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot force-pushed the dependabot/pip/torch-2.2.0 branch from 59b1d70 to da888c5 Compare August 12, 2024 09:32
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dependabot bot commented on behalf of github Aug 14, 2024

Dependabot tried to update this pull request, but something went wrong. We're looking into it, but in the meantime you can retry the update by commenting @dependabot rebase.

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