Relax constraints, use c_compiler / cxx_compiler variables.

recipe/meta.yaml

@@ -23,25 +23,10 @@ outputs:
     requirements:
       run:
         - cuda-nvcc_{{ target_platform }} {{ version }}.*
-
-        # cuda-nvcc has runtime dependencies on C and C++ compilers, but needs
-        # to support a wider range of host compilers than only the latest
-        # versions pinned in conda-forge-pinning-feedstock. Therefore, we
-        # cannot just list compiler('c') and compiler('cxx') as dependencies.
-        # However, we only need to do this for Linux because Windows has
-        # separate package names for each compiler version, like vs2019 and
-        # vs2022, and we can use compiler('c') and compiler('cxx') to get
-        # those.
-        #
-        # The compiler names for compiler('c') and compiler('cxx') come from
-        # https://github.com/conda-forge/conda-forge-pinning-feedstock/blob/main/recipe/conda_build_config.yaml
-        # The supported host compiler versions for a given nvcc version come from
-        # https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html
-        # https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html
-        - gcc_{{ target_platform }} >=6,<13  # [linux]
-        - gxx_{{ target_platform }} >=6,<13  # [linux]
-        - compiler('c')    # [not linux]
-        - compiler('cxx')  # [not linux]
+        # Relax build time constraints from compilers
+        # Constraints on compilers exist in `cuda-nvcc-impl`
+        - {{ c_compiler }}_{{ target_platform }}
+        - {{ cxx_compiler }}_{{ target_platform }}
     test:
       commands:
         - test -f $PREFIX/bin/nvcc                          # [linux]