use_repo(llvm, "llvm-project")

xla_third_party = use_extension("@xla//third_party/extensions:third_party.bzl", "third_party_ext")
use_repo(
    xla_third_party,
    "FP16",
    "FXdiv",
    "XNNPACK",
    "compute_library",
    "cpuinfo",
    "cudnn_frontend_archive",
    "cutlass_archive",
    "dlpack",
    "ducc",
    "eigen_archive",
    "farmhash_archive",
    "farmhash_gpu_archive",
    "gemmlowp",

    "@com_google_absl//:__subpackages__",
    "@com_google_googleapis//:__subpackages__",
    "@com_google_protobuf//:__subpackages__",
    "@com_googlesource_code_re2//:__subpackages__",
    "@compute_library//:__subpackages__",
    "@curl//:__subpackages__",
    "@eigen_archive//:__subpackages__",
    "@farmhash_archive//:__subpackages__",
    "@farmhash_gpu_archive//:__subpackages__",
    "@fft2d//:__subpackages__",

# Config setting to build oneDNN with Compute Library for the Arm Architecture (ACL).
# with Eigen threadpool support
common:mkl_aarch64_threadpool --define=build_with_mkl_aarch64=true
common:mkl_aarch64_threadpool --@compute_library//:openmp=false
common:mkl_aarch64_threadpool -c opt

# This is an alias for the mkl_aarch64_threadpool build.
common:mkl_aarch64 --config=mkl_aarch64_threadpool

# Default CUDA, CUDNN, NCCL and NVSHMEM versions.

        back to a while loop.

*   XLA:

    *   `tf.distribute.MultiWorkerMirroredStrategy` is now compilable with XLA.
    *   [Compute Library for the Arm® Architecture (ACL)](https://github.com/ARM-software/ComputeLibrary)
        is supported for aarch64 CPU XLA runtime

*   CPU performance optimizations:

    *   **x86 CPUs**: