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SECURITY.md
should be used with caution when working with untrusted models. ### Saved graphs and checkpoints When loading untrusted serialized computation graphs (in form of a `GraphDef`, `SavedModel`, or equivalent on-disk format), the set of computation primitives available to TensorFlow is powerful enough that you should assume that the TensorFlow process effectively executes arbitrary code.
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tensorflow/api_template.__init__.py
setattr(_current_module, "initializers", _initializers) # Do an eager load for Keras' code so that any function/method that needs to # happen at load time will trigger, eg registration of optimizers in the # SavedModel registry. # See b/196254385 for more details. try: if _tf_uses_legacy_keras: importlib.import_module("tf_keras.src.optimizers") else: importlib.import_module("keras.src.optimizers")
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