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Bump torch from 1.13.1 to 2.2.0 in /doc/source/tutorials/1_QuantumMachineLearning/pennylane_ensemble_classification/assets #1963

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

Bumps torch from 1.13.1 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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Bumps [torch](https://github.com/pytorch/pytorch) from 1.13.1 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@v1.13.1...v2.2.0)

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

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot requested a review from a team as a code owner July 25, 2024 10:45
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jul 25, 2024
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codecov bot commented Jul 25, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 86.11%. Comparing base (215d8d3) to head (9e6ecf1).

Additional details and impacted files

Impacted file tree graph

@@             Coverage Diff             @@
##           develop    #1963      +/-   ##
===========================================
+ Coverage    84.32%   86.11%   +1.79%     
===========================================
  Files          293      208      -85     
  Lines        14211    12211    -2000     
  Branches       195        0     -195     
===========================================
- Hits         11984    10516    -1468     
+ Misses        2093     1695     -398     
+ Partials       134        0     -134     
Flag Coverage Δ
Dispatcher 92.48% <ø> (ø)
Functional_Tests 50.65% <ø> (-0.04%) ⬇️
SDK 79.15% <ø> (ø)
UI_Backend 84.87% <ø> (ø)
UI_Frontend ?

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