Outputs deterministic pseudorandom values from a truncated normal distribution.
tf.raw_ops.StatelessTruncatedNormalV2(
shape,
key,
counter,
alg,
dtype=tf.dtypes.float32
,
name=None
)
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
.
Args | |
---|---|
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). |
Returns | |
---|---|
A Tensor of type dtype .
|