# tf.raw_ops.LogicalOr

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Returns the truth value of x OR y element-wise.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.LogicalOr(
        x, y, name=None
    )

Logical OR function.

Requires that `x` and `y` have the same shape or have
[broadcast-compatible](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
shapes. For example, `x` and `y` can be:

- Two single elements of type `bool`.
- One [`tf.Tensor`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/Tensor) of type `bool` and one single `bool`, where the result will be calculated by applying logical OR with the single element to each element in the larger Tensor.
- Two [`tf.Tensor`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/Tensor) objects of type `bool` of the same shape. In this case, the result will be the element-wise logical OR of the two input tensors.

You can also use the `|` operator instead.

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| ## Usage ||
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| <br /> >>> a = tf.constant([True]) >>> b = tf.constant([False]) >>> tf.math.logical_or(a, b) <tf.Tensor: shape=(1,), dtype=bool, numpy=array([ True])> >>> a | b <tf.Tensor: shape=(1,), dtype=bool, numpy=array([ True])> c = tf.constant([False]) x = tf.constant([False, True, True, False]) tf.math.logical_or(c, x) <tf.Tensor: shape=(4,), dtype=bool, numpy=array([False, True,  True, False])> c | x <tf.Tensor: shape=(4,), dtype=bool, numpy=array([False, True,  True, False])> y = tf.constant([False, False, True, True]) z = tf.constant([False, True, False, True]) tf.math.logical_or(y, z) <tf.Tensor: shape=(4,), dtype=bool, numpy=array([False, True, True, True])> y | z <tf.Tensor: shape=(4,), dtype=bool, numpy=array([False, True, True, True])> This op also supports broadcasting tf.logical_or([[True, False]], [[True], [False]]) <tf.Tensor: shape=(2, 2), dtype=bool, numpy= array([[ True,  True], [ True, False]])> <br /> ||

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The reduction version of this elementwise operation is [`tf.math.reduce_any`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/math/reduce_any).

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| ## Args ||
|---|---|
| `x` | A [`tf.Tensor`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/Tensor) of type bool. |
| `y` | A [`tf.Tensor`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/Tensor) of type bool. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A [`tf.Tensor`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/Tensor) of type bool with the shape that `x` and `y` broadcast to. ||

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| ## Args ||
|---|---|
| `x` | A `Tensor` of type `bool`. |
| `y` | A `Tensor` of type `bool`. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
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| A `Tensor` of type `bool`. ||

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