/TensorFlow 2.4


Outputs deterministic pseudorandom values from a truncated normal distribution.

The generated values follow a normal distribution with mean 0 and standard deviation 1, except that values whose magnitude is more than 2 standard deviations from the mean are dropped and re-picked.

The outputs are a deterministic function of shape, key, counter and alg.

shape A Tensor. Must be one of the following types: int32, int64. The shape of the output tensor.
key A Tensor of type uint64. Key for the counter-based RNG algorithm (shape uint64[1]).
counter A Tensor of type uint64. Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm). If a larger vector is given, only the needed portion on the left (i.e. [:N]) will be used.
alg A Tensor of type int32. The RNG algorithm (shape int32[]).
dtype An optional tf.DType from: tf.half, tf.bfloat16, tf.float32, tf.float64. Defaults to tf.float32. The type of the output.
name A name for the operation (optional).
A Tensor of type dtype.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.