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Outputs deterministic pseudorandom values, truncated normally distributed.
tf.random.stateless_truncated_normal(
shape,
seed,
mean=0.0,
stddev=1.0,
dtype=tf.dtypes.float32
,
name=None,
alg='auto_select'
)
This is a stateless version of tf.random.truncated_normal
: if run twice with
the same seeds and shapes, 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 nonCPU/GPU
hardware.
The generated values follow a normal distribution with specified mean and standard deviation, except that values whose magnitude is more than 2 standard deviations from the mean are dropped and repicked.
Args  

shape

A 1D integer Tensor or Python array. The shape of the output tensor. 
seed

A shape [2] Tensor, the seed to the random number generator. Must have
dtype int32 or int64 . (When using XLA, only int32 is allowed.)

mean

A 0D Tensor or Python value of type dtype . The mean of the
truncated normal distribution.

stddev

A 0D Tensor or Python value of type dtype . The standard deviation
of the normal distribution, before truncation.

dtype

The type of the output. 
name

A name for the operation (optional). 
alg

The RNG algorithm used to generate the random numbers. See
tf.random.stateless_uniform for a detailed explanation.

Returns  

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