actual = if_oss(
        "@local_config_cuda//:is_cuda_enabled",
        "@local_config_cuda//cuda:using_config_cuda",
    ),
)

# Config setting that is satisfied when CUDA device code should be compiled
# with clang. It does not imply that CUDA support has been enabled.
alias(
    name = "is_cuda_compiler_clang",
    actual = if_oss(
        "@local_config_cuda//:is_cuda_compiler_clang",

common:cuda --repo_env TF_NEED_CUDA=1
common:cuda --@local_config_cuda//:enable_cuda
common:cuda --config=cuda_version
# This flag is needed to include CUDA libraries.
common:cuda --@local_config_cuda//cuda:include_cuda_libs=true

# This configuration is used for building the wheels.
common:cuda_wheel --@local_config_cuda//cuda:include_cuda_libs=false

cudnn_redist_init_repository(
    cudnn_redistributions = CUDNN_REDISTRIBUTIONS,
)

load(
    "@rules_ml_toolchain//gpu/cuda:cuda_configure.bzl",
    "cuda_configure",
)

cuda_configure(name = "local_config_cuda")

load(
    "@rules_ml_toolchain//gpu/nccl:nccl_redist_init_repository.bzl",
    "nccl_redist_init_repository",
)

nccl_redist_init_repository()

load(

# register_toolchains("@local_config_python//:py_toolchain")

cuda_configure = use_extension("@rules_ml_toolchain//extensions:cuda_configure.bzl", "cuda_configure_ext")
use_repo(cuda_configure, "local_config_cuda")

nccl_configure = use_extension("@rules_ml_toolchain//extensions:nccl_configure.bzl", "nccl_configure_ext")
use_repo(nccl_configure, "local_config_nccl")