Upgrade to CUDA 13.0

.ci_support/linux_64_cuda_compiler_version13.0microarch_level1.yaml

@@ -0,0 +1,74 @@
+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
+flatbuffers:
+- 25.9.23
+giflib:
+- '5.2'
+github_actions_labels:
+- namespace-profile-16cpu-on-linux-64
+icu:
+- '78'
+libabseil:
+- '20260107'
+libcurl:
+- '8'
+libgrpc:
+- '1.78'
+libjpeg_turbo:
+- '3'
+libpng:
+- '1.6'
+libprotobuf:
+- 6.33.5
+microarch_level:
+- '1'
+nccl:
+- '2'
+openssl:
+- '3.5'
+perl:
+- 5.32.1
+pin_run_as_build:
+  python:
+    min_pin: x.x
+    max_pin: x.x
+python:
+- 3.10.* *_cpython
+- 3.11.* *_cpython
+- 3.12.* *_cpython
+- 3.13.* *_cp313
+snappy:
+- '1.2'
+sqlite:
+- '3'
+target_platform:
+- linux-64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
+  - c_stdlib_version
+  - cuda_compiler_version
+zlib:
+- '1'

.ci_support/linux_64_cuda_compiler_version13.0microarch_level3.yaml

@@ -0,0 +1,74 @@
+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
+flatbuffers:
+- 25.9.23
+giflib:
+- '5.2'
+github_actions_labels:
+- namespace-profile-16cpu-on-linux-64
+icu:
+- '78'
+libabseil:
+- '20260107'
+libcurl:
+- '8'
+libgrpc:
+- '1.78'
+libjpeg_turbo:
+- '3'
+libpng:
+- '1.6'
+libprotobuf:
+- 6.33.5
+microarch_level:
+- '3'
+nccl:
+- '2'
+openssl:
+- '3.5'
+perl:
+- 5.32.1
+pin_run_as_build:
+  python:
+    min_pin: x.x
+    max_pin: x.x
+python:
+- 3.10.* *_cpython
+- 3.11.* *_cpython
+- 3.12.* *_cpython
+- 3.13.* *_cp313
+snappy:
+- '1.2'
+sqlite:
+- '3'
+target_platform:
+- linux-64
+zip_keys:
+- - c_compiler_version
+  - cxx_compiler_version
+  - c_stdlib_version
+  - cuda_compiler_version
+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"]

.github/workflows/conda-build.yml

@@ -34,6 +34,18 @@ jobs:
             os: ubuntu
             runs_on: ['namespace-profile-16cpu-on-linux-64']
             DOCKER_IMAGE: quay.io/condaforge/linux-anvil-x86_64:alma9
+          - CONFIG: linux_64_cuda_compiler_version13.0microarch_level1
+            STORE_BUILD_ARTIFACTS: False
+            UPLOAD_PACKAGES: True
+            os: ubuntu
+            runs_on: ['namespace-profile-16cpu-on-linux-64']
+            DOCKER_IMAGE: quay.io/condaforge/linux-anvil-x86_64:alma9
+          - CONFIG: linux_64_cuda_compiler_version13.0microarch_level3
+            STORE_BUILD_ARTIFACTS: False
+            UPLOAD_PACKAGES: True
+            os: ubuntu
+            runs_on: ['namespace-profile-16cpu-on-linux-64']
+            DOCKER_IMAGE: quay.io/condaforge/linux-anvil-x86_64:alma9
           - CONFIG: linux_64_cuda_compiler_versionNonemicroarch_level1
             STORE_BUILD_ARTIFACTS: False
             UPLOAD_PACKAGES: True

recipe/recipe.yaml

@@ -2,7 +2,7 @@ schema_version: 1
 
 context:
   version: "2.19.1"
-  build: 5
+  build: 6
   # Quite often libml_dtypes-headers and ml_dtypes diverge.
   # https://github.com/tensorflow/tensorflow/blob/v2.18.0/third_party/py/ml_dtypes/workspace.bzl
   libml_dtypes_version: "0.5.1"
@@ -150,18 +150,18 @@ outputs:
             - cudnn
             - nccl
             - cuda-version ${{ cuda_compiler_version }}.*
-        - if: cuda_compiler_version != "None" and cuda_compiler_version[:2] == "12"
-          then:
-            - cuda-cupti-dev
-            - cuda-cudart-dev
-            - cuda-nvml-dev
-            - cuda-nvtx-dev
-            - libcublas-dev
-            - libcusolver-dev
-            - libcurand-dev
-            - libcufft-dev
-            - libcusparse-dev
-            - libnvjitlink-dev
+            - if: cuda_compiler_version[:2] == "12"
+              then:
+                - cuda-cupti-dev
+                - cuda-cudart-dev
+                - cuda-nvml-dev
+                - cuda-nvtx-dev
+                - libcublas-dev
+                - libcusolver-dev
+                - libcurand-dev
+                - libcufft-dev
+                - libcusparse-dev
+                - libnvjitlink-dev
         # If 3.12 is changed, edit recipe/build_pkg.sh too
         - python 3.12.*
         - pip
@@ -380,10 +380,11 @@ outputs:
         - keras >=3.5
         # avoid that people without GPUs needlessly download ~0.5-1GB
         - if: cuda_compiler_version != "None"
-          then: __cuda
+          then:
         # https://github.com/conda-forge/tensorflow-feedstock/issues/296#issuecomment-1835781851
-        - if: cuda_compiler_version != "None" and cuda_compiler_version[:2] == "12"
-          then: cuda-nvcc-tools
+            - __cuda
+            - if: cuda_compiler_version[:2] == "12"
+              then: cuda-nvcc-tools
         - ${{ pin_subpackage("libtensorflow_framework", exact=True) }}
         - ${{ pin_subpackage("libtensorflow_cc", exact=True) }}
     tests: