Update torch requirement from <3,>=2.4 to >=2.13.0,<3 - #7

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Update torch requirement from <3,>=2.4 to >=2.13.0,<3#7
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Updates the requirements on torch to permit the latest version.

Release notes

Sourced from torch's releases.

PyTorch 2.13.0 Release Notes

Highlights

For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.

Tracked Regressions

ROCm wheels break torch.compile on CPU in environments without a GPU

Running a torch==2.13.0+rocm7.2 wheel in an environment where no GPU is available (torch.cuda.is_available() is False) breaks torch.compile on the CPU path: the first compile raises RuntimeError: Can't detect vectorized ISA for CPU (#189194). This is a regression from torch==2.12.1+rocm7.2, which compiles CPU code fine (detecting e.g. VecAVX2) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.

Workaround: run the +rocm wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.

Backwards Incompatible Changes

  • Stop building CPython 3.13t (free-threaded) binaries (#182951)

    Upstream pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result, PyTorch 2.13 no longer ships cp313t wheels (Linux, Triton, and related artifacts). Users on the free-threaded interpreter should move to Python 3.14t.

    PyTorch 2.12:

    # cp313t (free-threaded 3.13) wheels were available
python3.13t -m pip install torch

    PyTorch 2.13:

... (truncated)

Changelog

Sourced from torch's changelog.

Releasing PyTorch

Release Compatibility Matrix

Following is the Release Compatibility Matrix for PyTorch releases:

... (truncated)

Commits
  • cf30153 [release/2.13] Strip +PTX from CUDA arch list on release/RC builds (#188914) ...
  • 3e3e24b [release/2.13] Restrict cuda-bindings to Python < 3.15 for CUDA 12.9 builds (...
  • 7986b06 [release/2.13] Bump binary build timeout 280 -> 400 minutes (#188551)
  • 0bdbc26 [release/2.13] Add CUDA 12.9 to TORCH_CUDA_ARCH_LIST tables (#188443)
  • 9cabb45 [release/2.13] Update manywheel docker image pin to 78e737ad (#188409)
  • 78e737a [release/2.13] Revert "Tighten generalized scatter graph target (#184075)" (#...
  • 0bb9b5b [release/2.13] Revert "dynamo: round-trip torch.cuda.stream ctx mgr across gr...
  • aaac2bf [release/2.13] Revert "[Reland] Port D104346887/PR 182675 for index_add fast ...
  • 9330813 Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)
  • 4e077a7 Remove setuptools upper bound (#188190)
  • Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

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@dependabot
Update torch requirement from <3,>=2.4 to >=2.13.0,<3
a985ee1
Updates the requirements on [torch](https://github.com/pytorch/pytorch) to permit the latest version.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.4.0...v2.13.0)
---
updated-dependencies:
- dependency-name: torch
dependency-version: 2.13.0
dependency-type: direct:development
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jul 9, 2026
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
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var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Update torch requirement from <3,>=2.4 to >=2.13.0,<3 - #7
Open
dependabot[bot] wants to merge 1 commit into
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dependabot/pip/torch-gte-2.13.0-and-lt-3
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Update torch requirement from <3,>=2.4 to >=2.13.0,<3#7
dependabot[bot] wants to merge 1 commit into
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Updates the requirements on torch to permit the latest version.
Release notes
Sourced from torch's releases.
PyTorch 2.13.0 Release Notes
Highlights
For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.
Tracked Regressions
ROCm wheels break torch.compile on CPU in environments without a GPU
Running a torch==2.13.0+rocm7.2 wheel in an environment where no GPU is available (torch.cuda.is_available() is False) breaks torch.compile on the CPU path: the first compile raises RuntimeError: Can't detect vectorized ISA for CPU (#189194). This is a regression from torch==2.12.1+rocm7.2, which compiles CPU code fine (detecting e.g. VecAVX2) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.
Workaround: run the +rocm wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.
Backwards Incompatible Changes
  • Stop building CPython 3.13t (free-threaded) binaries (#182951)
    Upstream pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t
was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result,
PyTorch 2.13 no longer ships cp313t wheels (Linux, Triton, and related artifacts). Users on the
free-threaded interpreter should move to Python 3.14t.
    PyTorch 2.12:
    # cp313t (free-threaded 3.13) wheels were available
python3.13t -m pip install torch
    PyTorch 2.13:
... (truncated)
Changelog
Sourced from torch's changelog.
Releasing PyTorch
Release Compatibility Matrix
Following is the Release Compatibility Matrix for PyTorch releases:
... (truncated)
Commits
  • cf30153 [release/2.13] Strip +PTX from CUDA arch list on release/RC builds (#188914) ...
  • 3e3e24b [release/2.13] Restrict cuda-bindings to Python < 3.15 for CUDA 12.9 builds (...
  • 7986b06 [release/2.13] Bump binary build timeout 280 -> 400 minutes (#188551)
  • 0bdbc26 [release/2.13] Add CUDA 12.9 to TORCH_CUDA_ARCH_LIST tables (#188443)
  • 9cabb45 [release/2.13] Update manywheel docker image pin to 78e737ad (#188409)
  • 78e737a [release/2.13] Revert "Tighten generalized scatter graph target (#184075)" (#...
  • 0bb9b5b [release/2.13] Revert "dynamo: round-trip torch.cuda.stream ctx mgr across gr...
  • aaac2bf [release/2.13] Revert "[Reland] Port D104346887/PR 182675 for index_add fast ...
  • 9330813 Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)
  • 4e077a7 Remove setuptools upper bound (#188190)
  • Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
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@dependabot
Update torch requirement from <3,>=2.4 to >=2.13.0,<3
a985ee1
Updates the requirements on [torch](https://github.com/pytorch/pytorch) to permit the latest version.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.4.0...v2.13.0)
---
updated-dependencies:
- dependency-name: torch
dependency-version: 2.13.0
dependency-type: direct:development
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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Update torch requirement from <3,>=2.4 to >=2.13.0,<3 - #7
Open
dependabot[bot] wants to merge 1 commit into
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dependabot/pip/torch-gte-2.13.0-and-lt-3
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Update torch requirement from <3,>=2.4 to >=2.13.0,<3#7
dependabot[bot] wants to merge 1 commit into
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dependabot/pip/torch-gte-2.13.0-and-lt-3
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Updates the requirements on torch to permit the latest version.
Release notes
Sourced from torch's releases.
PyTorch 2.13.0 Release Notes
Highlights
For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.
Tracked Regressions
ROCm wheels break torch.compile on CPU in environments without a GPU
Running a torch==2.13.0+rocm7.2 wheel in an environment where no GPU is available (torch.cuda.is_available() is False) breaks torch.compile on the CPU path: the first compile raises RuntimeError: Can't detect vectorized ISA for CPU (#189194). This is a regression from torch==2.12.1+rocm7.2, which compiles CPU code fine (detecting e.g. VecAVX2) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.
Workaround: run the +rocm wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.
Backwards Incompatible Changes
  • Stop building CPython 3.13t (free-threaded) binaries (#182951)
    Upstream pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t
was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result,
PyTorch 2.13 no longer ships cp313t wheels (Linux, Triton, and related artifacts). Users on the
free-threaded interpreter should move to Python 3.14t.
    PyTorch 2.12:
    # cp313t (free-threaded 3.13) wheels were available
python3.13t -m pip install torch
    PyTorch 2.13:
... (truncated)
Changelog
Sourced from torch's changelog.
Releasing PyTorch
Release Compatibility Matrix
Following is the Release Compatibility Matrix for PyTorch releases:
... (truncated)
Commits
  • cf30153 [release/2.13] Strip +PTX from CUDA arch list on release/RC builds (#188914) ...
  • 3e3e24b [release/2.13] Restrict cuda-bindings to Python < 3.15 for CUDA 12.9 builds (...
  • 7986b06 [release/2.13] Bump binary build timeout 280 -> 400 minutes (#188551)
  • 0bdbc26 [release/2.13] Add CUDA 12.9 to TORCH_CUDA_ARCH_LIST tables (#188443)
  • 9cabb45 [release/2.13] Update manywheel docker image pin to 78e737ad (#188409)
  • 78e737a [release/2.13] Revert "Tighten generalized scatter graph target (#184075)" (#...
  • 0bb9b5b [release/2.13] Revert "dynamo: round-trip torch.cuda.stream ctx mgr across gr...
  • aaac2bf [release/2.13] Revert "[Reland] Port D104346887/PR 182675 for index_add fast ...
  • 9330813 Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)
  • 4e077a7 Remove setuptools upper bound (#188190)
  • Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
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@dependabot
Update torch requirement from <3,>=2.4 to >=2.13.0,<3
a985ee1
Updates the requirements on [torch](https://github.com/pytorch/pytorch) to permit the latest version.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.4.0...v2.13.0)
---
updated-dependencies:
- dependency-name: torch
dependency-version: 2.13.0
dependency-type: direct:development
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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(function(){
try {
var __m = "*";
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Update torch requirement from <3,>=2.4 to >=2.13.0,<3 - #7
Open
dependabot[bot] wants to merge 1 commit into
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Update torch requirement from <3,>=2.4 to >=2.13.0,<3#7
dependabot[bot] wants to merge 1 commit into
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Updates the requirements on torch to permit the latest version.
Release notes
Sourced from torch's releases.
PyTorch 2.13.0 Release Notes
Highlights
For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.
Tracked Regressions
ROCm wheels break torch.compile on CPU in environments without a GPU
Running a torch==2.13.0+rocm7.2 wheel in an environment where no GPU is available (torch.cuda.is_available() is False) breaks torch.compile on the CPU path: the first compile raises RuntimeError: Can't detect vectorized ISA for CPU (#189194). This is a regression from torch==2.12.1+rocm7.2, which compiles CPU code fine (detecting e.g. VecAVX2) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.
Workaround: run the +rocm wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.
Backwards Incompatible Changes
  • Stop building CPython 3.13t (free-threaded) binaries (#182951)
    Upstream pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t
was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result,
PyTorch 2.13 no longer ships cp313t wheels (Linux, Triton, and related artifacts). Users on the
free-threaded interpreter should move to Python 3.14t.
    PyTorch 2.12:
    # cp313t (free-threaded 3.13) wheels were available
python3.13t -m pip install torch
    PyTorch 2.13:
... (truncated)
Changelog
Sourced from torch's changelog.
Releasing PyTorch
Release Compatibility Matrix
Following is the Release Compatibility Matrix for PyTorch releases:
... (truncated)
Commits
  • cf30153 [release/2.13] Strip +PTX from CUDA arch list on release/RC builds (#188914) ...
  • 3e3e24b [release/2.13] Restrict cuda-bindings to Python < 3.15 for CUDA 12.9 builds (...
  • 7986b06 [release/2.13] Bump binary build timeout 280 -> 400 minutes (#188551)
  • 0bdbc26 [release/2.13] Add CUDA 12.9 to TORCH_CUDA_ARCH_LIST tables (#188443)
  • 9cabb45 [release/2.13] Update manywheel docker image pin to 78e737ad (#188409)
  • 78e737a [release/2.13] Revert "Tighten generalized scatter graph target (#184075)" (#...
  • 0bb9b5b [release/2.13] Revert "dynamo: round-trip torch.cuda.stream ctx mgr across gr...
  • aaac2bf [release/2.13] Revert "[Reland] Port D104346887/PR 182675 for index_add fast ...
  • 9330813 Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)
  • 4e077a7 Remove setuptools upper bound (#188190)
  • Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR:
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@dependabot
Update torch requirement from <3,>=2.4 to >=2.13.0,<3
a985ee1
Updates the requirements on [torch](https://github.com/pytorch/pytorch) to permit the latest version.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.4.0...v2.13.0)
---
updated-dependencies:
- dependency-name: torch
dependency-version: 2.13.0
dependency-type: direct:development
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
Update torch requirement from <3,>=2.4 to >=2.13.0,<3 - #7
Open
dependabot[bot] wants to merge 1 commit into
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dependabot/pip/torch-gte-2.13.0-and-lt-3
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Update torch requirement from <3,>=2.4 to >=2.13.0,<3#7
dependabot[bot] wants to merge 1 commit into
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dependabot/pip/torch-gte-2.13.0-and-lt-3
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Updates the requirements on torch to permit the latest version.
Release notes
Sourced from torch's releases.
PyTorch 2.13.0 Release Notes
Highlights
For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.
Tracked Regressions
ROCm wheels break torch.compile on CPU in environments without a GPU
Running a torch==2.13.0+rocm7.2 wheel in an environment where no GPU is available (torch.cuda.is_available() is False) breaks torch.compile on the CPU path: the first compile raises RuntimeError: Can't detect vectorized ISA for CPU (#189194). This is a regression from torch==2.12.1+rocm7.2, which compiles CPU code fine (detecting e.g. VecAVX2) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.
Workaround: run the +rocm wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.
Backwards Incompatible Changes
  • Stop building CPython 3.13t (free-threaded) binaries (#182951)
    Upstream pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t
was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result,
PyTorch 2.13 no longer ships cp313t wheels (Linux, Triton, and related artifacts). Users on the
free-threaded interpreter should move to Python 3.14t.
    PyTorch 2.12:
    # cp313t (free-threaded 3.13) wheels were available
python3.13t -m pip install torch
    PyTorch 2.13:
... (truncated)
Changelog
Sourced from torch's changelog.
Releasing PyTorch
Release Compatibility Matrix
Following is the Release Compatibility Matrix for PyTorch releases:
... (truncated)
Commits
  • cf30153 [release/2.13] Strip +PTX from CUDA arch list on release/RC builds (#188914) ...
  • 3e3e24b [release/2.13] Restrict cuda-bindings to Python < 3.15 for CUDA 12.9 builds (...
  • 7986b06 [release/2.13] Bump binary build timeout 280 -> 400 minutes (#188551)
  • 0bdbc26 [release/2.13] Add CUDA 12.9 to TORCH_CUDA_ARCH_LIST tables (#188443)
  • 9cabb45 [release/2.13] Update manywheel docker image pin to 78e737ad (#188409)
  • 78e737a [release/2.13] Revert "Tighten generalized scatter graph target (#184075)" (#...
  • 0bb9b5b [release/2.13] Revert "dynamo: round-trip torch.cuda.stream ctx mgr across gr...
  • aaac2bf [release/2.13] Revert "[Reland] Port D104346887/PR 182675 for index_add fast ...
  • 9330813 Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)
  • 4e077a7 Remove setuptools upper bound (#188190)
  • Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.
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You can trigger Dependabot actions by commenting on this PR:
  • @dependabot rebase will rebase this PR
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  • @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)
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@dependabot
Update torch requirement from <3,>=2.4 to >=2.13.0,<3
a985ee1
Updates the requirements on [torch](https://github.com/pytorch/pytorch) to permit the latest version.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.4.0...v2.13.0)
---
updated-dependencies:
- dependency-name: torch
dependency-version: 2.13.0
dependency-type: direct:development
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Update torch requirement from <3,>=2.4 to >=2.13.0,<3 - #7
Open
dependabot[bot] wants to merge 1 commit into
mainfrom 
dependabot/pip/torch-gte-2.13.0-and-lt-3
Open
Update torch requirement from <3,>=2.4 to >=2.13.0,<3#7
dependabot[bot] wants to merge 1 commit into
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dependabot/pip/torch-gte-2.13.0-and-lt-3
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Updates the requirements on torch to permit the latest version.
Release notes
Sourced from torch's releases.
PyTorch 2.13.0 Release Notes
Highlights
For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.
Tracked Regressions
ROCm wheels break torch.compile on CPU in environments without a GPU
Running a torch==2.13.0+rocm7.2 wheel in an environment where no GPU is available (torch.cuda.is_available() is False) breaks torch.compile on the CPU path: the first compile raises RuntimeError: Can't detect vectorized ISA for CPU (#189194). This is a regression from torch==2.12.1+rocm7.2, which compiles CPU code fine (detecting e.g. VecAVX2) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.
Workaround: run the +rocm wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.
Backwards Incompatible Changes
  • Stop building CPython 3.13t (free-threaded) binaries (#182951)
    Upstream pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t
was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result,
PyTorch 2.13 no longer ships cp313t wheels (Linux, Triton, and related artifacts). Users on the
free-threaded interpreter should move to Python 3.14t.
    PyTorch 2.12:
    # cp313t (free-threaded 3.13) wheels were available
python3.13t -m pip install torch
    PyTorch 2.13:
... (truncated)
Changelog
Sourced from torch's changelog.
Releasing PyTorch
Release Compatibility Matrix
Following is the Release Compatibility Matrix for PyTorch releases:
... (truncated)
Commits
  • cf30153 [release/2.13] Strip +PTX from CUDA arch list on release/RC builds (#188914) ...
  • 3e3e24b [release/2.13] Restrict cuda-bindings to Python < 3.15 for CUDA 12.9 builds (...
  • 7986b06 [release/2.13] Bump binary build timeout 280 -> 400 minutes (#188551)
  • 0bdbc26 [release/2.13] Add CUDA 12.9 to TORCH_CUDA_ARCH_LIST tables (#188443)
  • 9cabb45 [release/2.13] Update manywheel docker image pin to 78e737ad (#188409)
  • 78e737a [release/2.13] Revert "Tighten generalized scatter graph target (#184075)" (#...
  • 0bb9b5b [release/2.13] Revert "dynamo: round-trip torch.cuda.stream ctx mgr across gr...
  • aaac2bf [release/2.13] Revert "[Reland] Port D104346887/PR 182675 for index_add fast ...
  • 9330813 Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)
  • 4e077a7 Remove setuptools upper bound (#188190)
  • Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually 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 show <dependency name> 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)
@dependabot
Update torch requirement from <3,>=2.4 to >=2.13.0,<3
a985ee1
Updates the requirements on [torch](https://github.com/pytorch/pytorch) to permit the latest version.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.4.0...v2.13.0)
---
updated-dependencies:
- dependency-name: torch
dependency-version: 2.13.0
dependency-type: direct:development
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot
added

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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Update torch requirement from <3,>=2.4 to >=2.13.0,<3 - #7
Open
dependabot[bot] wants to merge 1 commit into
mainfrom 
dependabot/pip/torch-gte-2.13.0-and-lt-3
Open
Update torch requirement from <3,>=2.4 to >=2.13.0,<3#7
dependabot[bot] wants to merge 1 commit into
mainfrom 
dependabot/pip/torch-gte-2.13.0-and-lt-3
Conversation
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Updates the requirements on torch to permit the latest version.
Release notes
Sourced from torch's releases.
PyTorch 2.13.0 Release Notes
Highlights
For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.
Tracked Regressions
ROCm wheels break torch.compile on CPU in environments without a GPU
Running a torch==2.13.0+rocm7.2 wheel in an environment where no GPU is available (torch.cuda.is_available() is False) breaks torch.compile on the CPU path: the first compile raises RuntimeError: Can't detect vectorized ISA for CPU (#189194). This is a regression from torch==2.12.1+rocm7.2, which compiles CPU code fine (detecting e.g. VecAVX2) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.
Workaround: run the +rocm wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.
Backwards Incompatible Changes
  • Stop building CPython 3.13t (free-threaded) binaries (#182951)
    Upstream pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t
was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result,
PyTorch 2.13 no longer ships cp313t wheels (Linux, Triton, and related artifacts). Users on the
free-threaded interpreter should move to Python 3.14t.
    PyTorch 2.12:
    # cp313t (free-threaded 3.13) wheels were available
python3.13t -m pip install torch
    PyTorch 2.13:
... (truncated)
Changelog
Sourced from torch's changelog.
Releasing PyTorch
Release Compatibility Matrix
Following is the Release Compatibility Matrix for PyTorch releases:
... (truncated)
Commits
  • cf30153 [release/2.13] Strip +PTX from CUDA arch list on release/RC builds (#188914) ...
  • 3e3e24b [release/2.13] Restrict cuda-bindings to Python < 3.15 for CUDA 12.9 builds (...
  • 7986b06 [release/2.13] Bump binary build timeout 280 -> 400 minutes (#188551)
  • 0bdbc26 [release/2.13] Add CUDA 12.9 to TORCH_CUDA_ARCH_LIST tables (#188443)
  • 9cabb45 [release/2.13] Update manywheel docker image pin to 78e737ad (#188409)
  • 78e737a [release/2.13] Revert "Tighten generalized scatter graph target (#184075)" (#...
  • 0bb9b5b [release/2.13] Revert "dynamo: round-trip torch.cuda.stream ctx mgr across gr...
  • aaac2bf [release/2.13] Revert "[Reland] Port D104346887/PR 182675 for index_add fast ...
  • 9330813 Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)
  • 4e077a7 Remove setuptools upper bound (#188190)
  • Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually 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 show <dependency name> 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)
@dependabot
Update torch requirement from <3,>=2.4 to >=2.13.0,<3
a985ee1
Updates the requirements on [torch](https://github.com/pytorch/pytorch) to permit the latest version.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.4.0...v2.13.0)
---
updated-dependencies:
- dependency-name: torch
dependency-version: 2.13.0
dependency-type: direct:development
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
Update torch requirement from <3,>=2.4 to >=2.13.0,<3 - #7
Open
dependabot[bot] wants to merge 1 commit into
mainfrom 
dependabot/pip/torch-gte-2.13.0-and-lt-3
Open
Update torch requirement from <3,>=2.4 to >=2.13.0,<3#7
dependabot[bot] wants to merge 1 commit into
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@dependabot
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Updates the requirements on torch to permit the latest version.
Release notes
Sourced from torch's releases.
PyTorch 2.13.0 Release Notes
Highlights
For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.
Tracked Regressions
ROCm wheels break torch.compile on CPU in environments without a GPU
Running a torch==2.13.0+rocm7.2 wheel in an environment where no GPU is available (torch.cuda.is_available() is False) breaks torch.compile on the CPU path: the first compile raises RuntimeError: Can't detect vectorized ISA for CPU (#189194). This is a regression from torch==2.12.1+rocm7.2, which compiles CPU code fine (detecting e.g. VecAVX2) in the same setup. The 2.13 ROCm wheel appears to rely on something present in the ROCm builder image to detect the CPU vectorized ISA, so it works when run on a ROCm image but fails on a plain CPU-only image.
Workaround: run the +rocm wheel on a ROCm image, or install a standard CPU/CUDA build for GPU-less environments.
Backwards Incompatible Changes
  • Stop building CPython 3.13t (free-threaded) binaries (#182951)
    Upstream pypa/manylinux removed CPython 3.13t (free-threaded) on 2026-05-07, because 3.13t
was experimental and has been superseded by the now-non-experimental CPython 3.14t. As a result,
PyTorch 2.13 no longer ships cp313t wheels (Linux, Triton, and related artifacts). Users on the
free-threaded interpreter should move to Python 3.14t.
    PyTorch 2.12:
    # cp313t (free-threaded 3.13) wheels were available
python3.13t -m pip install torch
    PyTorch 2.13:
... (truncated)
Changelog
Sourced from torch's changelog.
Releasing PyTorch
Release Compatibility Matrix
Following is the Release Compatibility Matrix for PyTorch releases:
... (truncated)
Commits
  • cf30153 [release/2.13] Strip +PTX from CUDA arch list on release/RC builds (#188914) ...
  • 3e3e24b [release/2.13] Restrict cuda-bindings to Python < 3.15 for CUDA 12.9 builds (...
  • 7986b06 [release/2.13] Bump binary build timeout 280 -> 400 minutes (#188551)
  • 0bdbc26 [release/2.13] Add CUDA 12.9 to TORCH_CUDA_ARCH_LIST tables (#188443)
  • 9cabb45 [release/2.13] Update manywheel docker image pin to 78e737ad (#188409)
  • 78e737a [release/2.13] Revert "Tighten generalized scatter graph target (#184075)" (#...
  • 0bb9b5b [release/2.13] Revert "dynamo: round-trip torch.cuda.stream ctx mgr across gr...
  • aaac2bf [release/2.13] Revert "[Reland] Port D104346887/PR 182675 for index_add fast ...
  • 9330813 Fix build_with_debinfo.py broken by CONFIGURE_DEPENDS globbing (#188192)
  • 4e077a7 Remove setuptools upper bound (#188190)
  • Additional commits viewable in compare view

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@dependabot
Update torch requirement from <3,>=2.4 to >=2.13.0,<3
a985ee1
Updates the requirements on [torch](https://github.com/pytorch/pytorch) to permit the latest version.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v2.4.0...v2.13.0)
---
updated-dependencies:
- dependency-name: torch
dependency-version: 2.13.0
dependency-type: direct:development
...
Signed-off-by: dependabot[bot] <support@github.com>
@dependabotdependabotBot
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Pull requests that update python code
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Jul 9, 2026
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