Merge pull request #409 from mgorny/v2.8.0

V2.8.0

Author: h-vetinari

.azure-pipelines/azure-pipelines-osx.yml

@@ -18,8 +18,6 @@ cuda_compiler:
 - cuda-nvcc
 cuda_compiler_version:
 - '12.9'
-cudnn:
-- '9'
 cxx_compiler:
 - gxx
 cxx_compiler_version:
@@ -55,24 +53,26 @@ nccl:
 numpy:
 - '2'
 orc:
-- 2.1.3
+- 2.2.0
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
+pybind11_abi:
+- '4'
 python:
 - 3.10.* *_cpython
 - 3.11.* *_cpython
 - 3.12.* *_cpython
 - 3.13.* *_cp313
-- 3.9.* *_cpython
 pytorch:
 - '2.6'
 target_platform:
 - linux-64
 zip_keys:
 - - c_compiler_version
   - cxx_compiler_version
+  - c_stdlib_version
   - cuda_compiler_version
 - - channel_targets
   - is_rc

.ci_support/linux_64_blas_implgenericchannel_targetsconda-forge_maincuda_compiler_version12.9is_rcFalse.yaml

@@ -18,8 +18,6 @@ cuda_compiler:
 - cuda-nvcc
 cuda_compiler_version:
 - None
-cudnn:
-- '9'
 cxx_compiler:
 - gxx
 cxx_compiler_version:
@@ -55,24 +53,26 @@ nccl:
 numpy:
 - '2'
 orc:
-- 2.1.3
+- 2.2.0
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
+pybind11_abi:
+- '4'
 python:
 - 3.10.* *_cpython
 - 3.11.* *_cpython
 - 3.12.* *_cpython
 - 3.13.* *_cp313
-- 3.9.* *_cpython
 pytorch:
 - '2.6'
 target_platform:
 - linux-64
 zip_keys:
 - - c_compiler_version
   - cxx_compiler_version
+  - c_stdlib_version
   - cuda_compiler_version
 - - channel_targets
   - is_rc

.ci_support/linux_64_blas_implgenericchannel_targetsconda-forge_maincuda_compiler_versionNoneis_rcFalse.yaml

@@ -18,8 +18,6 @@ cuda_compiler:
 - cuda-nvcc
 cuda_compiler_version:
 - '12.9'
-cudnn:
-- '9'
 cxx_compiler:
 - gxx
 cxx_compiler_version:
@@ -55,24 +53,26 @@ nccl:
 numpy:
 - '2'
 orc:
-- 2.1.3
+- 2.2.0
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
+pybind11_abi:
+- '4'
 python:
 - 3.10.* *_cpython
 - 3.11.* *_cpython
 - 3.12.* *_cpython
 - 3.13.* *_cp313
-- 3.9.* *_cpython
 pytorch:
 - '2.6'
 target_platform:
 - linux-64
 zip_keys:
 - - c_compiler_version
   - cxx_compiler_version
+  - c_stdlib_version
   - cuda_compiler_version
 - - channel_targets
   - is_rc

.ci_support/linux_64_blas_implmklchannel_targetsconda-forge_maincuda_compiler_version12.9is_rcFalse.yaml

@@ -18,8 +18,6 @@ cuda_compiler:
 - cuda-nvcc
 cuda_compiler_version:
 - None
-cudnn:
-- '9'
 cxx_compiler:
 - gxx
 cxx_compiler_version:
@@ -55,24 +53,26 @@ nccl:
 numpy:
 - '2'
 orc:
-- 2.1.3
+- 2.2.0
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
+pybind11_abi:
+- '4'
 python:
 - 3.10.* *_cpython
 - 3.11.* *_cpython
 - 3.12.* *_cpython
 - 3.13.* *_cp313
-- 3.9.* *_cpython
 pytorch:
 - '2.6'
 target_platform:
 - linux-64
 zip_keys:
 - - c_compiler_version
   - cxx_compiler_version
+  - c_stdlib_version
   - cuda_compiler_version
 - - channel_targets
   - is_rc

.ci_support/linux_64_blas_implmklchannel_targetsconda-forge_maincuda_compiler_versionNoneis_rcFalse.yaml

@@ -18,8 +18,6 @@ cuda_compiler:
 - cuda-nvcc
 cuda_compiler_version:
 - '12.9'
-cudnn:
-- '9'
 cxx_compiler:
 - gxx
 cxx_compiler_version:
@@ -55,24 +53,26 @@ nccl:
 numpy:
 - '2'
 orc:
-- 2.1.3
+- 2.2.0
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
+pybind11_abi:
+- '4'
 python:
 - 3.10.* *_cpython
 - 3.11.* *_cpython
 - 3.12.* *_cpython
 - 3.13.* *_cp313
-- 3.9.* *_cpython
 pytorch:
 - '2.6'
 target_platform:
 - linux-aarch64
 zip_keys:
 - - c_compiler_version
   - cxx_compiler_version
+  - c_stdlib_version
   - cuda_compiler_version
 - - channel_targets
   - is_rc

.ci_support/linux_aarch64_channel_targetsconda-forge_maincuda_compiler_version12.9is_rcFalse.yaml

@@ -18,8 +18,6 @@ cuda_compiler:
 - cuda-nvcc
 cuda_compiler_version:
 - None
-cudnn:
-- '9'
 cxx_compiler:
 - gxx
 cxx_compiler_version:
@@ -55,24 +53,26 @@ nccl:
 numpy:
 - '2'
 orc:
-- 2.1.3
+- 2.2.0
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
+pybind11_abi:
+- '4'
 python:
 - 3.10.* *_cpython
 - 3.11.* *_cpython
 - 3.12.* *_cpython
 - 3.13.* *_cp313
-- 3.9.* *_cpython
 pytorch:
 - '2.6'
 target_platform:
 - linux-aarch64
 zip_keys:
 - - c_compiler_version
   - cxx_compiler_version
+  - c_stdlib_version
   - cuda_compiler_version
 - - channel_targets
   - is_rc

.ci_support/linux_aarch64_channel_targetsconda-forge_maincuda_compiler_versionNoneis_rcFalse.yaml

@@ -14,33 +14,53 @@ __migrator:
   primary_key: cuda_compiler_version
   ordering:
     cuda_compiler_version:
-      - 11.8
       - 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
   commit_message: |
     Upgrade to CUDA 12.9
-    
-    With CUDA 12.9, the following new architectures are added `sm_100`, `sm_101` and `sm_120`.
-    To build for these architectures, maintainers will need to add these to list of architectures
-    that their package builds for.
-    
+
+    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`.
+
+    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)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
   - 12.8                       # [win64 and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
 
-c_compiler_version:            # [linux and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
-  - 14                         # [(linux and x86_64) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
-  - 13                         # [(linux and aarch64) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+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"]
+
+# Compiler pinnings deviate from global migrator in order to honor pinnings in local conda_build_config for aarch64
+c_compiler_version:            # [(linux and (x86_64 or aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 14                         # [(linux and (x86_64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 13                         # [(linux and (aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
 
-cxx_compiler_version:          # [linux and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
-  - 14                         # [(linux and x86_64) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
-  - 13                         # [(linux and 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)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
+  - 13                         # [(linux and (aarch64)) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
 
-fortran_compiler_version:      # [linux and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
-  - 14                         # [(linux and x86_64) and os.environ.get("CF_CUDA_ENABLED", "False") == "True"]
-  - 13                         # [(linux and 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/migrations/cuda129.yaml

@@ -51,11 +51,13 @@ mkl:
 numpy:
 - '2'
 orc:
-- 2.1.3
+- 2.2.0
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
+pybind11_abi:
+- '4'
 python:
 - 3.10.* *_cpython
 pytorch:

.ci_support/osx_64_blas_implgenericchannel_targetsconda-forge_mainis_rcFalsepython3.10.____cpython.yaml

@@ -51,11 +51,13 @@ mkl:
 numpy:
 - '2'
 orc:
-- 2.1.3
+- 2.2.0
 pin_run_as_build:
   python:
     min_pin: x.x
     max_pin: x.x
+pybind11_abi:
+- '4'
 python:
 - 3.11.* *_cpython
 pytorch: