tf.random.uniform_candidate

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Creates a RNG state from an integer or a vector.

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Main aliases

tf.random.experimental.create_rng_state

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.random.create_rng_state, tf.compat.v1.random.experimental.create_rng_state

tf.random.create_rng_state(
    seed, alg
)

Example:

tf.random.create_rng_state(
    1234, "philox")
array([1234,    0,    0])
tf.random.create_rng_state(
    [12, 34], "threefry")
array([12, 34])

Args
`seed`	an integer or 1-D numpy array.
`alg`	the RNG algorithm. Can be a string, an `Algorithm` or an integer.

Returns
a 1-D numpy array whose size depends on the algorithm.

TensorFlow

tf.random / uniform_candidate_sampler

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Example:

Args

Returns

TensorFlow

tf

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tf.random / uniform_candidate_sampler

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Example:

Args

Returns