tf.random.stateless_normal

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Outputs deterministic pseudorandom values from a normal distribution.

Aliases:

  • tf.compat.v1.random.stateless_normal
  • tf.compat.v2.random.stateless_normal
tf.random.stateless_normal(
    shape,
    seed,
    mean=0.0,
    stddev=1.0,
    dtype=tf.dtypes.float32,
    name=None
)

This is a stateless version of tf.random.normal: if run twice with the same seeds, it will produce the same pseudorandom numbers. The output is consistent across multiple runs on the same hardware (and between CPU and GPU), but may change between versions of TensorFlow or on non-CPU/GPU hardware.

Args:

  • shape: A 1-D integer Tensor or Python array. The shape of the output tensor.
  • seed: A shape [2] integer Tensor of seeds to the random number generator.
  • mean: A 0-D Tensor or Python value of type dtype. The mean of the normal distribution.
  • stddev: A 0-D Tensor or Python value of type dtype. The standard deviation of the normal distribution.
  • dtype: The type of the output.
  • name: A name for the operation (optional).

Returns:

A tensor of the specified shape filled with random normal values.

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