# tf.raw_ops.StatelessParameterizedTruncatedNormal

tf.raw_ops.StatelessParameterizedTruncatedNormal(
shape, seed, means, stddevs, minvals, maxvals, name=None
)

Args |

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

`seed` | A `Tensor` . Must be one of the following types: `int32` , `int64` . 2 seeds (shape [2]). |

`means` | A `Tensor` . Must be one of the following types: `half` , `float32` , `float64` . The mean parameter of each batch. |

`stddevs` | 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. |

`name` | A name for the operation (optional). |

Returns |

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