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chore(python-deps): bump torch from 2.7.1 to 2.8.0 (#3082)
Bumps [torch](https://github.com/pytorch/pytorch) from 2.7.1 to 2.8.0. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/pytorch/pytorch/releases">torch's releases</a>.</em></p> <blockquote> <h1>PyTorch 2.8.0 Release Notes</h1> <ul> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#highlights">Highlights</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#backwards-incompatible-changes">Backwards Incompatible Changes</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#deprecations">Deprecations</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#new-features">New Features</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#improvements">Improvements</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#bug-fixes">Bug fixes</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#performance">Performance</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#documentation">Documentation</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#developers">Developers</a></li> </ul> <h1>Highlights</h1> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="ba56102387
"><code>ba56102</code></a> Cherrypick: Add the RunLLM widget to the website (<a href="https://redirect.github.com/pytorch/pytorch/issues/159592">#159592</a>)</li> <li><a href="c525a02c89
"><code>c525a02</code></a> [dynamo, docs] cherry pick torch.compile programming model docs into 2.8 (<a href="https://redirect.github.com/pytorch/pytorch/issues/15">#15</a>...</li> <li><a href="a1cb3cc05d
"><code>a1cb3cc</code></a> [Release Only] Remove nvshmem from list of preload libraries (<a href="https://redirect.github.com/pytorch/pytorch/issues/158925">#158925</a>)</li> <li><a href="c76b2356bc
"><code>c76b235</code></a> Move out super large one off foreach_copy test (<a href="https://redirect.github.com/pytorch/pytorch/issues/158880">#158880</a>)</li> <li><a href="20a0e225a0
"><code>20a0e22</code></a> Revert "[Dynamo] Allow inlining into AO quantization modules (<a href="https://redirect.github.com/pytorch/pytorch/issues/152934">#152934</a>)" (<a href="https://redirect.github.com/pytorch/pytorch/issues/158">#158</a>...</li> <li><a href="9167ac8c75
"><code>9167ac8</code></a> [MPS] Switch Cholesky decomp to column wise (<a href="https://redirect.github.com/pytorch/pytorch/issues/158237">#158237</a>)</li> <li><a href="5534685c62
"><code>5534685</code></a> [MPS] Reimplement <code>tri[ul]</code> as Metal shaders (<a href="https://redirect.github.com/pytorch/pytorch/issues/158867">#158867</a>)</li> <li><a href="d19e08d74b
"><code>d19e08d</code></a> Cherry pick PR 158746 (<a href="https://redirect.github.com/pytorch/pytorch/issues/158801">#158801</a>)</li> <li><a href="a6c044ab9a
"><code>a6c044a</code></a> [cherry-pick] Unify torch.tensor and torch.ops.aten.scalar_tensor behavior (#...</li> <li><a href="620ebd0646
"><code>620ebd0</code></a> [Dynamo] Use proper sources for constructing dataclass defaults (<a href="https://redirect.github.com/pytorch/pytorch/issues/158689">#158689</a>)</li> <li>Additional commits viewable in <a href="https://github.com/pytorch/pytorch/compare/v2.7.1...v2.8.0">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) 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-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> 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 <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) </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
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@ -1632,10 +1632,10 @@ test = [
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@ -4310,7 +4310,7 @@ wheels = [
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version = "0.22.1+cpu"
|
||||
version = "0.23.0+cpu"
|
||||
source = { registry = "https://download.pytorch.org/whl/cpu" }
|
||||
resolution-markers = [
|
||||
"(python_full_version >= '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')",
|
||||
|
@ -4399,15 +4402,15 @@ resolution-markers = [
|
|||
dependencies = [
|
||||
{ name = "numpy", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
|
||||
{ name = "pillow", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
|
||||
{ name = "torch", version = "2.7.1+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
|
||||
{ name = "torch", version = "2.8.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
|
||||
]
|
||||
wheels = [
|
||||
{ url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1%2Bcpu-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:b5fa7044bd82c6358e8229351c98070cf3a7bf4a6e89ea46352ae6c65745ef94" },
|
||||
{ url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1%2Bcpu-cp312-cp312-win_amd64.whl", hash = "sha256:433cb4dbced7291f17064cea08ac1e5aebd02ec190e1c207d117ad62a8961f2b" },
|
||||
{ url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1%2Bcpu-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:a93c21f18c33a819616b3dda7655aa4de40b219682c654175b6bbeb65ecc2e5f" },
|
||||
{ url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1%2Bcpu-cp313-cp313-win_amd64.whl", hash = "sha256:34c914ad4728b81848ac802c5fc5eeb8de8ff4058cc59c1463a74ce4f4fbf0d8" },
|
||||
{ url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1%2Bcpu-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:ab7ae82529887c704c1b5d1d5198f65dc777d04fc3858b374503a6deedb82b19" },
|
||||
{ url = "https://download.pytorch.org/whl/cpu/torchvision-0.22.1%2Bcpu-cp313-cp313t-win_amd64.whl", hash = "sha256:b2d1c4bdbfd8e6c779dc810a6171b56224f1332fc46986810d4081bed1633804" },
|
||||
{ url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0%2Bcpu-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:ae459d4509d3b837b978dc6c66106601f916b6d2cda75c137e3f5f48324ce1da" },
|
||||
{ url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0%2Bcpu-cp312-cp312-win_amd64.whl", hash = "sha256:a651ccc540cf4c87eb988730c59c2220c52b57adc276f044e7efb9830fa65a1d" },
|
||||
{ url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0%2Bcpu-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:dea90a67d60a5366b0358a0b8d6bf267805278697d6fd950cf0e31139e56d1be" },
|
||||
{ url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0%2Bcpu-cp313-cp313-win_amd64.whl", hash = "sha256:82928788025170c62e7df1120dcdc0cd175bfc31c08374613ce6d1a040bc0cda" },
|
||||
{ url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0%2Bcpu-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:474d77adbbbed5166db3e5636b4b4ae3399c66ef5bfa12536e254b32259c90c0" },
|
||||
{ url = "https://download.pytorch.org/whl/cpu/torchvision-0.23.0%2Bcpu-cp313-cp313t-win_amd64.whl", hash = "sha256:8d6a47e23d7896f0ef9aa7ea7179eb6324e82438aa66d19884c2020d0646b104" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue