"nccl_archive",
    "nvtx_archive",
    "opencl_headers",
    "org_checkerframework_qual",
    "org_hamcrest_core",
    "org_sqlite",
    "org_xprof",
    "person_detect_data",
    "ruy",
    "six_archive",
    "skcms",
    "sobol_data",
    "speech_commands",
    "stylize",
    "tf_runtime",
    "tflite_conv_actions_frozen",
    "tflite_mobilenet_float",
    "tflite_mobilenet_quant",

    "@snappy//:__subpackages__",
    "@upb//:__subpackages__",
    "@zlib//:__subpackages__",
    "@dlpack//:__subpackages__",
    "@arm_neon_2_x86_sse//:__subpackages__",
    "@cpuinfo//:__subpackages__",
    "@ruy//:__subpackages__",
    "@XNNPACK//:__subpackages__",
    "@pthreadpool//:__subpackages__",
    "@FXdiv//:__subpackages__",
    "@FP16//:__subpackages__",
    "@clog//:__subpackages__",

        `TFLiteConverter.from_saved_model`.
    *   The Python TF Lite Interpreter bindings now has an option
        `experimental_preserve_all_tensors` to aid in debugging conversion.
    *   Quantized x86 execution defaults to Ruy GEMM library for platforms with
        AVX support.
    *   Deprecate
        `tf.compat.v1.lite.experimental.get_potentially_supported_ops`. Use
        `tf.lite.TFLiteConverter` directly to check whether a model is