# tf.compat.v2.reduce_any

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/ops/math_ops.py#L2363-L2405) |

Computes the "logical or" of elements across dimensions of a tensor.

#### View aliases


**Compat aliases for migration**

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

\`tf.compat.v2.math.reduce_any\`

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    tf.compat.v2.reduce_any(
        input_tensor, axis=None, keepdims=False, name=None
    )

Reduces `input_tensor` along the dimensions given in `axis`.
Unless `keepdims` is true, the rank of the tensor is reduced by 1 for each
entry in `axis`. If `keepdims` is true, the reduced dimensions
are retained with length 1.

If `axis` is None, all dimensions are reduced, and a
tensor with a single element is returned.

#### For example:

    x = tf.constant([[True,  True], [False, False]])
    tf.reduce_any(x)  # True
    tf.reduce_any(x, 0)  # [True, True]
    tf.reduce_any(x, 1)  # [True, False]

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| ## Args ||
|---|---|
| `input_tensor` | The boolean tensor to reduce. |
| `axis` | The dimensions to reduce. If `None` (the default), reduces all dimensions. Must be in the range `[-rank(input_tensor), rank(input_tensor))`. |
| `keepdims` | If true, retains reduced dimensions with length 1. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| The reduced tensor. ||

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#### Numpy Compatibility

Equivalent to np.any