Fix kernel crash on tensor.dtype.to_complex() after ~100 calls in ipython kernel (pytorch/pytorch#125154)
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.
You can trigger a rebase of this PR by commenting @dependabot rebase.
Dependabot commands and options
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 this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
- `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
- `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
Note
Automatic rebases have been disabled on this pull request as it has been open for over 30 days.
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.
Bumps torch from 2.2.2 to 2.3.1.
Release notes
Sourced from torch's releases.
... (truncated)
Commits
63d5e92
[EZ] Pin scipy to 1.12 for Py-3.12 (#127322)91bdec3
Update hf_BirdBird periodic-dynamo-benchmarks results (#127312)d44533f
Put back "[Release only] Release 2.3 start using triton package from pypi"" (...bd1040c
[DSD] Fix to remove non_persistent buffer in distributed state dict (#125337)...81b8854
[DSD] Add a test to verify FSDP lazy initialization case (#127069) (#127130)e63004b
[DCP][state_dict] Remove the check of FSDP has root (#121544) (#126557)00804a7
[DSD] Correctly handle _extra_state (#125336) (#126567)cd033a1
[Cherry-pick][DCP][AC] Add test for apply AC with FSDP1 (#126935) (#126992)19058a6
Remove activation checkpointing tag to get correct FQNs (#124698) (#126559)30650e0
[FSDP1] fix _same_storage check for DTensor (#123617) (#126957)You can trigger a rebase of this PR by commenting
@dependabot rebase
.Dependabot commands and options
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