# tf.math.greater_equal

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Returns the truth value of (x \>= y) element-wise.

#### View aliases


**Main aliases**

[`tf.greater_equal`](https://www.tensorflow.org/api_docs/python/tf/math/greater_equal)
**Compat aliases for migration**

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

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

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    tf.math.greater_equal(
        x: _atypes.TensorFuzzingAnnotation[TV_GreaterEqual_T],
        y: _atypes.TensorFuzzingAnnotation[TV_GreaterEqual_T],
        name=None
    ) -> _atypes.TensorFuzzingAnnotation[_atypes.Bool]

> [!NOTE]
> **Note:** [`math.greater_equal`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/math/greater_equal) supports broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)

#### Example:

    x = tf.constant([5, 4, 6, 7])
    y = tf.constant([5, 2, 5, 10])
    tf.math.greater_equal(x, y) ==> [True, True, True, False]

    x = tf.constant([5, 4, 6, 7])
    y = tf.constant([5])
    tf.math.greater_equal(x, y) ==> [True, False, True, True]

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| ## Args ||
|---|---|
| `x` | A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `int64`, `bfloat16`, `uint16`, `half`, `uint32`, `uint64`. |
| `y` | A `Tensor`. Must have the same type as `x`. |
| `name` | A name for the operation (optional). |

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

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