# tf.math.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/v2.14.0/tensorflow/python/ops/math_ops.py#L3409-L3454) |

Computes [`tf.math.logical_or`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/logical_or) of elements across dimensions of a tensor.

#### View aliases


**Main aliases**

[`tf.reduce_any`](https://www.tensorflow.org/api_docs/python/tf/math/reduce_any)

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

This is the reduction operation for the elementwise [`tf.math.logical_or`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/logical_or) op.

Reduces `input_tensor` along the dimensions given in `axis`.
Unless `keepdims` is true, the rank of the tensor is reduced by 1 for each
of the entries in `axis`, which must be unique. 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.

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| ## For example ||
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| <br /> >>> x = tf.constant([[True,  True], [False, False]]) >>> tf.reduce_any(x) <tf.Tensor: shape=(), dtype=bool, numpy=True> >>> tf.reduce_any(x, 0) <tf.Tensor: shape=(2,), dtype=bool, numpy=array([ True,  True])> >>> tf.reduce_any(x, 1) <tf.Tensor: shape=(2,), dtype=bool, numpy=array([ True, False])> <br /> ||

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| ## Args ||
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| `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 ||
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| The reduced tensor. ||

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## numpy compatibility

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Equivalent to np.any

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