# tf.raw_ops.StatelessParameterizedTruncatedNormal

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#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.StatelessParameterizedTruncatedNormal`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/StatelessParameterizedTruncatedNormal)

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

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| ## 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). |

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

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