control the inclusion of `Rescaling` layer in the model.
    *   Add optional argument (`force`) to `make_(train|test|predict)_funtion`
        methods to skip the cached function and generate a new one. This is
        useful to regenerate in a single call the compiled training function
        when any `.trainable` attribute of any model's layer has changed.
    *   Models now have a `save_spec` property which contains the `TensorSpec`

    "TENSORFLOW_API_INIT_FILES",
)
load(
    "//tensorflow/python/tools/api/generator:api_init_files_v1.bzl",
    "TENSORFLOW_API_INIT_FILES_V1",
)
load("//tensorflow/python/tools/api/generator2:generate_api.bzl", "generate_apis")
# copybara:comment_end

PACKAGE_STATIC_DEPS = [
    "//:__subpackages__",
    "@cudnn_frontend_archive//:__subpackages__",
    "@gif//:__subpackages__",
    "@highwayhash//:__subpackages__",

    "//tensorflow:libtensorflow.so" \
    "//tensorflow/tools/lib_package:clicenses_generate"
}

@test "Java library generated license includes all dependencies' licenses" {
  do_external_licenses_check \
    "//tensorflow/java:libtensorflow_jni.so" \
    "//tensorflow/tools/lib_package:jnilicenses_generate"
}

# This test ensures that all the targets built into the Python package include