[v2.9.x] Rebuild for fmt 12.1 and spdlog 1.17

[regro-cf-autotick-bot]

This PR has been triggered in an effort to update fmt121_spdlog117.

Notes and instructions for merging this PR:

1. Please merge the PR only after the tests have passed.
2. Feel free to push to the bot's branch to update this PR if needed.

Please note that if you close this PR we presume that the feedstock has been rebuilt, so if you are going to perform the rebuild yourself don't close this PR until the your rebuild has been merged.

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[conda-forge-admin]

Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipe/meta.yaml) and found it was in an excellent condition.

I do have some suggestions for making it better though...

For recipe/meta.yaml:

• ℹ️ The magma output has been superseded by libmagma-devel.
• ℹ️ The recipe is not parsable by parser conda-souschef (grayskull). This parser is not currently used by conda-forge, but may be in the future. We are collecting information to see which recipes are compatible with grayskull.
• ℹ️ The recipe is not parsable by parser conda-recipe-manager. The recipe can only be automatically migrated to the new v1 format if it is parseable by conda-recipe-manager.

_{This message was generated by GitHub Actions workflow run https://github.com/conda-forge/conda-forge-webservices/actions/runs/20789208510. Examine the logs at this URL for more detail.}

[h-vetinari]

Thanks for the fix here, let's hope it closes #447 for good!

[h-vetinari]

The usual song and dance for win+CUDA

$ gh run download 20852972387 --repo conda-forge/pytorch-cpu-feedstock --name conda_artifacts_20852972387_win_64_channel_targetsconda-forge_maincu_hca575dce
$ unzip pytorch-cpu-feedstock_conda_artifacts_.zip
$ cd bld/win-64 && rm current_repodata.json index.html repodata*
$ ls
libtorch-2.9.1-cuda128_mkl_h5af97b6_302.conda       pytorch-gpu-2.9.1-cuda128_mkl_hc88b545_302.conda
pytorch-2.9.1-cuda128_mkl_py310_h1968e09_302.conda  pytorch-tests-2.9.1-cuda128_mkl_py310_hf0eca92_302.conda
pytorch-2.9.1-cuda128_mkl_py311_h7fbd949_302.conda  pytorch-tests-2.9.1-cuda128_mkl_py311_hc85c64c_302.conda
pytorch-2.9.1-cuda128_mkl_py312_h5b42cb5_302.conda  pytorch-tests-2.9.1-cuda128_mkl_py312_hb3d0777_302.conda
pytorch-2.9.1-cuda128_mkl_py313_ha1b8ff3_302.conda  pytorch-tests-2.9.1-cuda128_mkl_py313_hd85d54a_302.conda
$ ls | xargs anaconda upload
$ DELEGATE=h-vetinari
PACKAGE_VERSION=2.9.1
for package in libtorch pytorch pytorch-gpu pytorch-tests; do
  anaconda copy --from-label main --to-label main --to-owner conda-forge ${DELEGATE}/${package}/${PACKAGE_VERSION}
done