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chore(deps): bump torch from 1.7.1 to 1.11.0 in /examples/tests#9

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chore(deps): bump torch from 1.7.1 to 1.11.0 in /examples/tests#9
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@dependabot dependabot Bot commented on behalf of github Jun 16, 2022

Bumps torch from 1.7.1 to 1.11.0.

Release notes

Sourced from torch's releases.

PyTorch 1.11, TorchData, and functorch are now available

PyTorch 1.11 Release Notes

  • Highlights
  • Backwards Incompatible Change
  • New Features
  • Improvements
  • Performance
  • Documentation

Highlights

We are excited to announce the release of PyTorch 1.11. This release is composed of over 3,300 commits since 1.10, made by 434 contributors. Along with 1.11, we are releasing beta versions of TorchData and functorch. We want to sincerely thank our community for continuously improving PyTorch.

  • TorchData is a new library for common modular data loading primitives for easily constructing flexible and performant data pipelines. View it on GitHub.
  • functorch, a library that adds composable function transforms to PyTorch, is now available in beta. View it on GitHub.
  • Distributed Data Parallel (DDP) static graph optimizations available in stable.

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

Backwards Incompatible changes

Python API

Fixed python deepcopy to correctly copy all attributes on Tensor objects (#65584)

This change ensures that the deepcopy operation on Tensor properly copies all the attributes (and not just the plain Tensor properties).

... (truncated)

Changelog

Sourced from torch's changelog.

Releasing PyTorch

General Overview

Releasing a new version of PyTorch generally entails 3 major steps:

  1. Cutting a release branch preparations
  2. Cutting a release branch and making release branch specific changes
  3. Drafting RCs (Release Candidates), and merging cherry picks
  4. Promoting RCs to stable and performing release day tasks

Cutting a release branch preparations

Following Requirements needs to be met prior to final RC Cut:

  • Resolve all outstanding issues in the milestones(for example 1.11.0)before first RC cut is completed. After RC cut is completed following script should be executed from builder repo in order to validate the presence of the fixes in the release branch : python github_analyze.py --repo-path ~/local/pytorch --remote upstream --branch release/1.11 --milestone-id 26 --missing-in-branch
  • Validate that all new workflows have been created in the PyTorch and domain libraries included in the release. Validate it against all dimensions of release matrix, including operating systems(Linux, MacOS, Windows), Python versions as well as CPU architectures(x86 and arm) and accelerator versions(CUDA, ROCm).

... (truncated)

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Bumps [torch](https://github.com/pytorch/pytorch) from 1.7.1 to 1.11.0.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md)
- [Commits](pytorch/pytorch@v1.7.1...v1.11.0)

---
updated-dependencies:
- dependency-name: torch
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jun 16, 2022
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dependabot Bot commented on behalf of github Jun 30, 2022

Superseded by #45.

@dependabot dependabot Bot closed this Jun 30, 2022
@dependabot dependabot Bot deleted the dependabot/pip/examples/tests/torch-1.11.0 branch June 30, 2022 01:33
jerryharrow pushed a commit that referenced this pull request Apr 13, 2023
[MLG-359]

This PR consists of two changes:

1. A couple patches in `model_hub` that set typing such that mypy==0.910
   passes under Python 3.8. This likely means `make check` will fail
   on these files under Python 3.7.

2. A change to the docker image used in CircleCI making CI checks run
   using Python 3.8 instead of 3.7.

Release will progress in the following steps:

1. A new cimg-base will be built from
   https://github.com/determined-ai/determined-ci-images/pull/9. It will
   be pushed to dockerhub with the tag 'py38'.

2. This build will run its CI tests using `determinedai/cimg-base:py38'

3. Assuming pre-commit tests are green, this PR will be merged.

4. If post-commit tests are green, a `cimg-base` with the tag `latest`
   will be built from its PR #9

5. We'll create a new PR in `deterimend-ai/determined` that moves the
   default docker-image in CircleCI's config.yml back to `latest`.
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