NEW: Migrate recipes to CUDA 13.0

recipe/conda_build_config.yaml

@@ -19,6 +19,7 @@ m2w64_c_stdlib_version:        # [win]
   - 12                         # [win]
 c_stdlib_version:              # [unix]
   - 2.17                       # [linux]
+  - 2.17                       # [linux and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
   - 10.13                      # [osx and x86_64]
   - 11.0                       # [osx and arm64]
 cxx_compiler:
@@ -154,6 +155,8 @@ zip_keys:
     - c_compiler_version        # [unix]
     - cxx_compiler_version      # [unix]
     - fortran_compiler_version  # [unix]
+    # CUDA 13.x requires newer glibc than our current baseline
+    - c_stdlib_version          # [linux and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
     - cuda_compiler_version     # [linux and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
   -
     - python

recipe/migrations/cuda118.yaml

@@ -1,4 +1,5 @@
-migrator_ts: 1748496951
+# In order to work, this timestamp needs to be newer than all other CUDA migrators
+migrator_ts: 2145938400  # 2038-01-01
 __migrator:
   kind:
     version
@@ -28,6 +29,7 @@ __migrator:
       - 12.8
       - None
       - 12.9
+      - 13.0
       - 11.8
     cuda_compiler_version_min:
       - 12.4
@@ -45,6 +47,9 @@ cuda_compiler_version:      # [(linux or win64) and os.environ.get("CF_CUDA_ENAB
 cuda_compiler_version_min:  # [linux or win64]
   - 11.8                    # [linux or win64]
 
+c_stdlib_version:           # [linux and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 2.17                    # [linux and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+
 c_compiler_version:         # [linux and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
   - 11                      # [linux and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
 

recipe/migrations/cuda129.yaml

@@ -18,6 +18,7 @@ __migrator:
       - 12.8
       - None
       - 12.9
+      - 13.0
       # to allow manual opt-in for CUDA 11.8, see
       # https://github.com/conda-forge/conda-forge-pinning-feedstock/pull/7472
       # must be last due to how cuda_compiler ordering in that migrator works
@@ -47,6 +48,9 @@ cuda_compiler_version:         # [((linux and (x86_64 or aarch64)) or win64) and
 cuda_compiler_version_min:     # [((linux and (x86_64 or aarch64)) or win64) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
   - 12.9                       # [((linux and (x86_64 or aarch64)) or win64) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
 
+c_stdlib_version:              # [(linux and (x86_64 or aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 2.17                       # [(linux and (x86_64 or aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+
 c_compiler_version:            # [(linux and (x86_64 or aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
   - 14                         # [(linux and (x86_64 or aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
 

recipe/migrations/cuda130.yaml

@@ -0,0 +1,62 @@
+migrator_ts: 1755016036
+__migrator:
+  operation: key_add
+  migration_number:
+    1
+  build_number:
+    1
+  paused: true
+  override_cbc_keys:
+    - cuda_compiler_stub
+  check_solvable: false
+  primary_key: cuda_compiler_version
+  ordering:
+    cuda_compiler_version:
+      - 12.4
+      - 12.6
+      - 12.8
+      - None
+      - 12.9
+      - 13.0
+      # to allow manual opt-in for CUDA 11.8, see
+      # https://github.com/conda-forge/conda-forge-pinning-feedstock/pull/7472
+      # must be last due to how cuda_compiler ordering in that migrator works
+      - 11.8
+  wait_for_migrators:
+    - cuda129
+  commit_message: |
+    Upgrade to CUDA 13.0
+
+    CUDA 13.0 requires architecture `sm_75` or higher, and renamed `sm_101` to
+    `sm_110`. To build for these, maintainers will need to modify their existing list of
+    specified architectures (e.g. `CMAKE_CUDA_ARCHITECTURES`, `TORCH_CUDA_ARCH_LIST`, etc.)
+    for their package.
+
+    Since CUDA 12.8, the conda-forge nvcc package now sets `CUDAARCHS` and
+    `TORCH_CUDA_ARCH_LIST` in its activation script to a string containing all
+    of the supported real architectures plus the virtual architecture of the
+    latest. Recipes for packages who use these variables to control their build
+    but do not want to build for all supported architectures will need to override
+    these variables in their build script.
+
+    ref: https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#new-features
+
+    > [[!IMPORTANT]]
+    > Remember to update any CUDA 11/12 specific selector syntax in the recipe to include
+    > CUDA 13. For example `# [(cuda_compiler_version or "None").startswith("12")]`
+    > might be replaced with `# [cuda_compiler_version != "None"]`.
+
+cuda_compiler_version:         # [((linux and (x86_64 or aarch64)) or win64) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 13.0                       # [((linux and (x86_64 or aarch64)) or win64) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+
+c_stdlib_version:              # [(linux and (x86_64 or aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 2.28                       # [(linux and (x86_64 or aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+
+c_compiler_version:            # [(linux and (x86_64 or aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 14                         # [(linux and (x86_64 or aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+
+cxx_compiler_version:          # [(linux and (x86_64 or aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 14                         # [(linux and (x86_64 or aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+
+fortran_compiler_version:      # [(linux and (x86_64 or aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 14                         # [(linux and (x86_64 or aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]