[v2.6.x] Upgrade to CUDA 12.9, fix osx builds

[iamthebot]

This is basically #405 but with an additional patch file (0019) that backports a fix from PyTorch 2.7+ so tensorpipe compilation doesn't fail. This fixes the OSX build.

There are a few (4) test failures though that seem unrelated. Perhaps we can add this patch to #405?

Checklist

• Used a personal fork of the feedstock to propose changes
• Bumped the build number (if the version is unchanged)
• Reset the build number to 0 (if the version changed)
• Re-rendered with the latest conda-smithy (Use the phrase @conda-forge-admin, please rerender in a comment in this PR for automated rerendering)
• Ensured the license file is being packaged.

[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 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/17363174359. Examine the logs at this URL for more detail.}

[h-vetinari]

There are a few (4) test failures though that seem unrelated.

Can you please provide the logs / test traces where you saw this? We can add skips where the failures are not critical

[iamthebot]

There are a few (4) test failures though that seem unrelated.

Can you please provide the logs / test traces where you saw this? We can add skips where the failures are not critical

Seems to be the same 4 tests on all the OSX runners:

FAILED [0.0042s] test/test_linalg.py::TestLinalgCPU::test_norm_matrix_degenerate_shapes_cpu_complex128 - AssertionError: ValueError not raised

To execute this test, run the following from the base repo dir:
    python test/test_linalg.py TestLinalgCPU.test_norm_matrix_degenerate_shapes_cpu_complex128

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
FAILED [0.0037s] test/test_linalg.py::TestLinalgCPU::test_norm_matrix_degenerate_shapes_cpu_complex64 - AssertionError: ValueError not raised

To execute this test, run the following from the base repo dir:
    python test/test_linalg.py TestLinalgCPU.test_norm_matrix_degenerate_shapes_cpu_complex64

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
FAILED [0.0041s] test/test_linalg.py::TestLinalgCPU::test_norm_matrix_degenerate_shapes_cpu_float32 - AssertionError: ValueError not raised

To execute this test, run the following from the base repo dir:
    python test/test_linalg.py TestLinalgCPU.test_norm_matrix_degenerate_shapes_cpu_float32

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
FAILED [0.0063s] test/test_linalg.py::TestLinalgCPU::test_norm_matrix_degenerate_shapes_cpu_float64 - AssertionError: ValueError not raised

Let me take a closer look tomorrow and see if these are safe/reasonable to skip.