tf.raw_ops.ParameterizedTruncatedNormal

Outputs random values from a normal distribution. The parameters may each be a

tf.raw_ops.ParameterizedTruncatedNormal(
    shape, means, stdevs, minvals, maxvals, seed=0, seed2=0, name=None
)

scalar which applies to the entire output, or a vector of length shape[0] which stores the parameters for each batch.

shape A Tensor. Must be one of the following types: int32, int64. The shape of the output tensor. Batches are indexed by the 0th dimension.
means A Tensor. Must be one of the following types: half, bfloat16, float32, float64. The mean parameter of each batch.
stdevs A Tensor. Must have the same type as means. The standard deviation parameter of each batch. Must be greater than 0.
minvals A Tensor. Must have the same type as means. The minimum cutoff. May be -infinity.
maxvals A Tensor. Must have the same type as means. The maximum cutoff. May be +infinity, and must be more than the minval for each batch.
seed An optional int. Defaults to 0. If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed.
seed2 An optional int. Defaults to 0. A second seed to avoid seed collision.
name A name for the operation (optional).

A Tensor. Has the same type as means.