Outputs random values from a truncated normal distribution.

tf.raw_ops.TruncatedNormal( shape, dtype, seed=0, seed2=0, 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.

Args | |
---|---|

`shape` | A `Tensor` . Must be one of the following types: `int32` , `int64` . The shape of the output tensor. |

`dtype` | A `tf.DType` from: `tf.half, tf.bfloat16, tf.float32, tf.float64` . The type of the output. |

`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). |

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/TruncatedNormal