`ModelServer` collates all computation graphs exposed to it (from multiple
`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the
inherent ones from multitenant configurations. The primary areas of concern are
tenant isolation, resource allocation, model sharing and hardware attacks.

### Tenant isolation

        ),
        cpu = "arm64-v8a",
    ),
    visibility = ["//visibility:public"],
)

config_setting(
    name = "android_mips",
    values = {
        "crosstool_top": "//external:android/crosstool",
        "cpu": "mips",
    },
    visibility = ["//visibility:public"],
)

config_setting(
    name = "android_mips64",
    values = {

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