Module: tfp.random
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TensorFlow Probability random samplers/utilities.
Functions
rademacher(...): Generates Tensor consisting of -1 or +1, chosen uniformly at random.
rayleigh(...): Generates Tensor of positive reals drawn from a Rayleigh distributions.
sanitize_seed(...): Map various PRNG seed flavors to a seed Tensor.
spherical_uniform(...): Generates Tensor drawn from a uniform distribution on the sphere.
split_seed(...): Splits a seed into n derived seeds.
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Last updated 2023-11-21 UTC.
[null,null,["Last updated 2023-11-21 UTC."],[],[],null,["# Module: tfp.random\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/probability/blob/v0.23.0/tensorflow_probability/python/random/__init__.py) |\n\nTensorFlow Probability random samplers/utilities.\n\nFunctions\n---------\n\n[`rademacher(...)`](../tfp/random/rademacher): Generates `Tensor` consisting of `-1` or `+1`, chosen uniformly at random.\n\n[`rayleigh(...)`](../tfp/random/rayleigh): Generates `Tensor` of positive reals drawn from a Rayleigh distributions.\n\n[`sanitize_seed(...)`](../tfp/random/sanitize_seed): Map various PRNG seed flavors to a seed `Tensor`.\n\n[`spherical_uniform(...)`](../tfp/random/spherical_uniform): Generates `Tensor` drawn from a uniform distribution on the sphere.\n\n[`split_seed(...)`](../tfp/random/split_seed): Splits a seed into `n` derived seeds."]]
View source on GitHub