# tf.raw_ops.Erf

Computes the [Gauss error function](https://en.wikipedia.org/wiki/Error_function) of `x` element-wise. In statistics, for non-negative values of \\(x\\), the error function has the following interpretation: for a random variable \\(Y\\) that is normally distributed with mean 0 and variance \\(1/\\sqrt{2}\\), \\(erf(x)\\) is the probability that \\(Y\\) falls in the range \\(\[−x, x\]\\).

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.Erf(
        x, name=None
    )

#### For example:

    tf.math.erf([[1.0, 2.0, 3.0], [0.0, -1.0, -2.0]])
    <tf.Tensor: shape=(2, 3), dtype=float32, numpy=
    array([[ 0.8427007,  0.9953223,  0.999978 ],
           [ 0.       , -0.8427007, -0.9953223]], dtype=float32)>

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| ## Args ||
|---|---|
| `x` | A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`. |
| `name` | A name for the operation (optional). |

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

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