# LINT.IfChange
package_group(name = "structured_tensor_allowlist")
# LINT.ThenChange(copy.bara.sky)

filegroup(
    name = "intel_binary_blob",
    data = if_mkl_ml(
        [
            "@local_xla//xla/tsl/mkl:intel_binary_blob",
        ],
    ),
)

bzl_library(
    name = "tensorflow_bzl",
    srcs = ["tensorflow.bzl"],

tool. For application developers, see <https://min.io/docs/minio/linux/developers/minio-drivers.html> to view MinIO SDKs for supported languages. ## GNU/Linux Use the following command to run a standalone MinIO server on Linux hosts running 64-bit Intel/AMD architectures. Replace ``/data`` with the path to the drive or directory in which you want MinIO to store data. ```sh wget https://dl.min.io/server/minio/release/linux-amd64/minio chmod +x minio ./minio server /data ``` The following table lists...

            AVX512_BF16, AMX, etc.
            ([Intel Cascade Lake](https://www.intel.com/content/www/us/en/products/platforms/details/cascade-lake.html)
            and newer CPUs.)
            *   [Example performance speedups.](https://medium.com/intel-analytics-software/leverage-intel-deep-learning-optimizations-in-tensorflow-129faa80ee07)