Upgrade to CUDA 13.0

.ci_support/linux_64_blas_implgenericc_stdlib_version2.28channel_targetsconda-forge_maincuda_compiler_version13.0is_rcFalse.yaml

@@ -0,0 +1,82 @@
+blas_impl:
+- generic
+c_compiler:
+- gcc
+c_compiler_version:
+- '14'
+c_stdlib:
+- sysroot
+c_stdlib_version:
+- '2.28'
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler:
+- cuda-nvcc
+cuda_compiler_version:
+- '13.0'
+cudnn:
+- '9'
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '14'
+docker_image:
+- quay.io/condaforge/linux-anvil-x86_64:alma9
+fmt:
+- '12.0'
+github_actions_labels:
+- cirun-openstack-gpu-2xlarge
+is_rc:
+- 'False'
+libabseil:
+- '20250512'
+libblas:
+- 3.9.* *netlib
+libcblas:
+- 3.9.* *netlib
+liblapack:
+- 3.9.* *netlib
+libmagma_sparse:
+- '2.9'
+libprotobuf:
+- 6.31.1
+libtorch:
+- '2.7'
+magma:
+- '2.9'
+mkl:
+- '2025'
+mkl_devel:
+- '2025'
+nccl:
+- '2'
+numpy:
+- '2'
+orc:
+- 2.2.1
+pin_run_as_build:
+  python:
+    min_pin: x.x
+    max_pin: x.x
+pybind11_abi:
+- '11'
+python:
+- 3.10.* *_cpython
+- 3.11.* *_cpython
+- 3.12.* *_cpython
+- 3.13.* *_cp313
+pytorch:
+- '2.7'
+target_platform:
+- linux-64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
+  - c_stdlib_version
+  - cuda_compiler_version
+- - channel_targets
+  - is_rc
+zlib:
+- '1'

.ci_support/linux_64_blas_implmklc_stdlib_version2.28channel_targetsconda-forge_maincuda_compiler_version13.0is_rcFalse.yaml

@@ -0,0 +1,82 @@
+blas_impl:
+- mkl
+c_compiler:
+- gcc
+c_compiler_version:
+- '14'
+c_stdlib:
+- sysroot
+c_stdlib_version:
+- '2.28'
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler:
+- cuda-nvcc
+cuda_compiler_version:
+- '13.0'
+cudnn:
+- '9'
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '14'
+docker_image:
+- quay.io/condaforge/linux-anvil-x86_64:alma9
+fmt:
+- '12.0'
+github_actions_labels:
+- cirun-openstack-gpu-2xlarge
+is_rc:
+- 'False'
+libabseil:
+- '20250512'
+libblas:
+- 3.9.* *netlib
+libcblas:
+- 3.9.* *netlib
+liblapack:
+- 3.9.* *netlib
+libmagma_sparse:
+- '2.9'
+libprotobuf:
+- 6.31.1
+libtorch:
+- '2.7'
+magma:
+- '2.9'
+mkl:
+- '2025'
+mkl_devel:
+- '2025'
+nccl:
+- '2'
+numpy:
+- '2'
+orc:
+- 2.2.1
+pin_run_as_build:
+  python:
+    min_pin: x.x
+    max_pin: x.x
+pybind11_abi:
+- '11'
+python:
+- 3.10.* *_cpython
+- 3.11.* *_cpython
+- 3.12.* *_cpython
+- 3.13.* *_cp313
+pytorch:
+- '2.7'
+target_platform:
+- linux-64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
+  - c_stdlib_version
+  - cuda_compiler_version
+- - channel_targets
+  - is_rc
+zlib:
+- '1'

.ci_support/linux_aarch64_c_compiler_version14c_stdlib_version2.28channel_targetsconda-forge_maincuda_compiler_version13.0cxx_compiler_version14is_rcFalse.yaml

@@ -0,0 +1,80 @@
+blas_impl:
+- generic
+c_compiler:
+- gcc
+c_compiler_version:
+- '14'
+c_stdlib:
+- sysroot
+c_stdlib_version:
+- '2.28'
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler:
+- cuda-nvcc
+cuda_compiler_version:
+- '13.0'
+cudnn:
+- '9'
+cxx_compiler:
+- gxx
+cxx_compiler_version:
+- '14'
+docker_image:
+- quay.io/condaforge/linux-anvil-x86_64:alma9
+fmt:
+- '12.0'
+github_actions_labels:
+- cirun-openstack-gpu-2xlarge
+is_rc:
+- 'False'
+libabseil:
+- '20250512'
+libblas:
+- 3.9.* *netlib
+libcblas:
+- 3.9.* *netlib
+liblapack:
+- 3.9.* *netlib
+libmagma_sparse:
+- '2.9'
+libprotobuf:
+- 6.31.1
+libtorch:
+- '2.7'
+magma:
+- '2.9'
+mkl:
+- '2025'
+nccl:
+- '2'
+numpy:
+- '2'
+orc:
+- 2.2.1
+pin_run_as_build:
+  python:
+    min_pin: x.x
+    max_pin: x.x
+pybind11_abi:
+- '11'
+python:
+- 3.10.* *_cpython
+- 3.11.* *_cpython
+- 3.12.* *_cpython
+- 3.13.* *_cp313
+pytorch:
+- '2.7'
+target_platform:
+- linux-aarch64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
+  - c_stdlib_version
+  - cuda_compiler_version
+- - channel_targets
+  - is_rc
+zlib:
+- '1'

.ci_support/migrations/cuda130.yaml

@@ -0,0 +1,62 @@
+migrator_ts: 1755016036
+__migrator:
+  operation: key_add
+  migration_number:
+    1
+  build_number:
+    1
+  paused: false
+  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
+    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"]

.ci_support/win_64_channel_targetsconda-forge_maincuda_compiler_version13.0is_rcFalse.yaml

@@ -0,0 +1,62 @@
+blas_impl:
+- mkl
+c_compiler:
+- vs2022
+c_stdlib:
+- vs
+channel_sources:
+- conda-forge
+channel_targets:
+- conda-forge main
+cuda_compiler:
+- cuda-nvcc
+cuda_compiler_version:
+- '13.0'
+cudnn:
+- '9'
+cxx_compiler:
+- vs2022
+fmt:
+- '12.0'
+github_actions_labels:
+- cirun-azure-windows-4xlarge
+is_rc:
+- 'False'
+libabseil:
+- '20250512'
+libmagma_sparse:
+- '2.9'
+libprotobuf:
+- 6.31.1
+libtorch:
+- '2.7'
+magma:
+- '2.9'
+mkl:
+- '2025'
+mkl_devel:
+- '2025'
+numpy:
+- '2'
+orc:
+- 2.2.1
+pin_run_as_build:
+  python:
+    min_pin: x.x
+    max_pin: x.x
+pybind11_abi:
+- '11'
+python:
+- 3.10.* *_cpython
+- 3.11.* *_cpython
+- 3.12.* *_cpython
+- 3.13.* *_cp313
+pytorch:
+- '2.7'
+target_platform:
+- win-64
+zip_keys:
+- - channel_targets
+  - is_rc
+zlib:
+- '1'