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` . |

© 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.

https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/StatelessTruncatedNormalV2