# tf.math.is_nan

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Returns which elements of x are NaN.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.math.is_nan(
        x: _atypes.TensorFuzzingAnnotation[TV_IsNan_T], name=None
    ) -> _atypes.TensorFuzzingAnnotation[_atypes.Bool]

#### Example:

    x = tf.constant([5.0, np.nan, 6.8, np.nan, np.inf])
    tf.math.is_nan(x) ==> [False, True, False, True, False]

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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` of type `bool`. ||

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## numpy compatibility

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Equivalent to np.isnan

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