# tf.debugging.check_numerics

<br />

|---|
| [![](https://www.tensorflow.org/images/tf_logo_32px.png) TensorFlow 1 version](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/debugging/check_numerics) |

Checks a tensor for NaN and Inf values.

#### View aliases


**Compat aliases for migration**

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

[`tf.compat.v1.check_numerics`](https://www.tensorflow.org/api_docs/python/tf/debugging/check_numerics), [`tf.compat.v1.debugging.check_numerics`](https://www.tensorflow.org/api_docs/python/tf/debugging/check_numerics)

<br />

    tf.debugging.check_numerics(
        tensor, message, name=None
    )

When run, reports an `InvalidArgument` error if `tensor` has any values
that are not a number (NaN) or infinity (Inf). Otherwise, passes `tensor` as-is.

<br />

<br />

<br />

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

<br />

<br />

<br />

<br />

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

<br />