TensorFlow 1 version
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View source on GitHub
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Returns the global Policy.
tf.keras.mixed_precision.experimental.global_policy()
The global policy is the default policy used for layers, if no policy is
passed to the layer constructor. If no policy has been set with
keras.mixed_precision.experimental.set_policy, this will return a policy
constructed from tf.keras.backend.floatx() (floatx defaults to float32).
If TensorFlow 2 behavior has been disabled with
tf.compat.v1.disable_v2_behavior(), this will instead return a special
"_infer" policy which infers the dtype from the dtype of the first input the
first time the layer is called. This behavior matches the behavior that
existed in TensorFlow 1.
See tf.keras.mixed_precision.experimental.Policy for more information on
policies.
Returns | |
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| The global Policy. |