View source on GitHub
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Check whether tf.random.Generator is used for RNG in Keras.
tf.keras.backend.experimental.is_tf_random_generator_enabled()
Compared to existing TF stateful random ops, tf.random.Generator uses
tf.Variable and stateless random ops to generate random numbers,
which leads to better reproducibility in distributed training.
Note enabling it might introduce some breakage to existing code,
by producing differently-seeded random number sequences
and breaking tests that rely on specific random numbers being generated.
To disable the
usage of tf.random.Generator, please use
tf.keras.backend.experimental.disable_random_generator.
We expect the tf.random.Generator code path to become the default, and
will remove the legacy stateful random ops such as tf.random.uniform in
the future (see the TF RNG guide).
This API will also be removed in a future release as well, together with
tf.keras.backend.experimental.enable_tf_random_generator() and
tf.keras.backend.experimental.disable_tf_random_generator()
Returns | |
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boolean
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whether tf.random.Generator is used for random number
generation in Keras.
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