DNM: Test CUDA 13.0 migrator

.ci_support/linux_64_cuda_compiler_version12.9.yaml → .ci_support/linux_64_c_stdlib_version2.17cuda_compiler_version12.6cxx_compiler_version13.yaml

@@ -11,11 +11,11 @@ channel_targets:
 cuda_compiler:
 - cuda-nvcc
 cuda_compiler_version:
-- '12.9'
+- '12.6'
 cxx_compiler:
 - gxx
 cxx_compiler_version:
-- '14'
+- '13'
 docker_image:
 - quay.io/condaforge/linux-anvil-x86_64:alma9
 libboost_devel:
@@ -24,4 +24,5 @@ target_platform:
 - linux-64
 zip_keys:
 - - cxx_compiler_version
+  - c_stdlib_version
   - cuda_compiler_version

.ci_support/linux_64_cuda_compiler_versionNone.yaml → .ci_support/linux_64_c_stdlib_version2.17cuda_compiler_versionNonecxx_compiler_version14.yaml

@@ -24,4 +24,5 @@ target_platform:
 - linux-64
 zip_keys:
 - - cxx_compiler_version
+  - c_stdlib_version
   - cuda_compiler_version

.ci_support/linux_64_c_stdlib_version2.28cuda_compiler_version13.0cxx_compiler_version14.yaml

@@ -0,0 +1,28 @@
+c_stdlib:
+- sysroot
+c_stdlib_version:
+- '2.28'
+cdt_name:
+- conda
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler:
+- cuda-nvcc
+cuda_compiler_version:
+- '13.0'
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '14'
+docker_image:
+- quay.io/condaforge/linux-anvil-x86_64:alma9
+libboost_devel:
+- '1.88'
+target_platform:
+- linux-64
+zip_keys:
+- - cxx_compiler_version
+  - c_stdlib_version
+  - cuda_compiler_version

.ci_support/linux_aarch64_cuda_compiler_version12.9.yaml → .ci_support/linux_aarch64_c_stdlib_version2.17cuda_compiler_version12.6cxx_compiler_version13.yaml

@@ -11,11 +11,11 @@ channel_targets:
 cuda_compiler:
 - cuda-nvcc
 cuda_compiler_version:
-- '12.9'
+- '12.6'
 cxx_compiler:
 - gxx
 cxx_compiler_version:
-- '14'
+- '13'
 docker_image:
 - quay.io/condaforge/linux-anvil-x86_64:alma9
 libboost_devel:
@@ -24,4 +24,5 @@ target_platform:
 - linux-aarch64
 zip_keys:
 - - cxx_compiler_version
+  - c_stdlib_version
   - cuda_compiler_version

.ci_support/linux_aarch64_cuda_compiler_versionNone.yaml → .ci_support/linux_aarch64_c_stdlib_version2.17cuda_compiler_versionNonecxx_compiler_version14.yaml

@@ -24,4 +24,5 @@ target_platform:
 - linux-aarch64
 zip_keys:
 - - cxx_compiler_version
+  - c_stdlib_version
   - cuda_compiler_version

.ci_support/linux_aarch64_c_stdlib_version2.28cuda_compiler_version13.0cxx_compiler_version14.yaml

@@ -0,0 +1,28 @@
+c_stdlib:
+- sysroot
+c_stdlib_version:
+- '2.28'
+cdt_name:
+- conda
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler:
+- cuda-nvcc
+cuda_compiler_version:
+- '13.0'
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '14'
+docker_image:
+- quay.io/condaforge/linux-anvil-x86_64:alma9
+libboost_devel:
+- '1.88'
+target_platform:
+- linux-aarch64
+zip_keys:
+- - cxx_compiler_version
+  - c_stdlib_version
+  - cuda_compiler_version

.ci_support/linux_ppc64le_cuda_compiler_versionNonecxx_compiler_version14.yaml → .ci_support/linux_ppc64le_.yaml

@@ -8,8 +8,6 @@ channel_sources:
 - conda-forge
 channel_targets:
 - conda-forge main
-cuda_compiler:
-- cuda-nvcc
 cuda_compiler_version:
 - None
 cxx_compiler:
@@ -24,4 +22,5 @@ target_platform:
 - linux-ppc64le
 zip_keys:
 - - cxx_compiler_version
+  - c_stdlib_version
   - cuda_compiler_version

.ci_support/migrations/cuda129.yaml → .ci_support/migrations/cuda130.yaml

@@ -1,11 +1,11 @@
-migrator_ts: 1738229377
+migrator_ts: 1755016036
 __migrator:
-  kind:
-    version
+  use_local: true
+  operation: key_add
   migration_number:
     1
   build_number:
-    1
+    0
   paused: false
   override_cbc_keys:
     - cuda_compiler_stub
@@ -18,31 +18,35 @@ __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
       - 11.8
+  wait_for_migrators:
+    - cuda129
   commit_message: |
-    Upgrade to CUDA 12.9
-
-    CUDA 12.8 added support for architectures `sm_100`, `sm_101` and `sm_120`,
-    while CUDA 12.9 further added `sm_103` and `sm_121`. 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. A good balance between broad support and storage
-    footprint (resp. compilation time) is to add `sm_100` and `sm_120`.
-
+    Upgrade to CUDA 13.0
+
+    CUDA 13.0 removed support for architectures before `sm_75`, 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
 
 cuda_compiler_version:         # [((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"]
+  - 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"]

.ci_support/win_64_cuda_compiler_version12.9.yaml → .ci_support/win_64_cuda_compiler_version12.6.yaml

@@ -7,7 +7,7 @@ channel_targets:
 cuda_compiler:
 - cuda-nvcc
 cuda_compiler_version:
-- '12.9'
+- '12.6'
 cxx_compiler:
 - vs2022
 libboost_devel:

.ci_support/win_64_cuda_compiler_version13.0.yaml

@@ -0,0 +1,16 @@
+c_stdlib:
+- vs
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler:
+- cuda-nvcc
+cuda_compiler_version:
+- '13.0'
+cxx_compiler:
+- vs2022
+libboost_devel:
+- '1.88'
+target_platform:
+- win-64