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I have just upgraded from TF 1.13 to TF 2.0, and my interpreter is complaining because tf.set_random_seed does no longer exist.
What is the equivalent functionality in TF 2.0 ?
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This is to ensure different sequences of random numbers are generated each time the code is run, by default. This seed can also be specified with a specific number, such as “1”, to ensure that the same sequence of random numbers is generated each time the code is run.
A random seed is a starting point in generating random numbers. A random seed specifies the start point when a computer generates a random number sequence. This can be any number, but it usually comes from seconds on a computer system's clock (Henkemans & Lee, 2001).
The seed() method is used to initialize the random number generator. The random number generator needs a number to start with (a seed value), to be able to generate a random number. By default the random number generator uses the current system time.
Operations that rely on a random seed actually derive it from two seeds: the global and operation-level seeds. This sets the global seed. Its interactions with operation-level seeds is as follows: If neither the global seed nor the operation seed is set: A randomly picked seed is used for this op.
Found it: tf.random.set_seed is what I was looking for
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