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.

Args | |
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`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). |

Returns | |
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A `Tensor` . Has the same type as `means` . |

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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/ParameterizedTruncatedNormal