# tf.raw_ops.Maximum

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Returns the max of x and y (i.e. x \> y ? x : 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.Maximum`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/Maximum)

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

#### Example:

    x = tf.constant([0., 0., 0., 0.])
    y = tf.constant([-2., 0., 2., 5.])
    tf.math.maximum(x, y)
    <tf.Tensor: shape=(4,), dtype=float32, numpy=array([0., 0., 2., 5.], dtype=float32)>

Note that `maximum` supports [broadcast semantics](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html) for `x` and `y`.

    x = tf.constant([-5., 0., 0., 0.])
    y = tf.constant([-3.])
    tf.math.maximum(x, y)
    <tf.Tensor: shape=(4,), dtype=float32, numpy=array([-3., 0., 0., 0.], dtype=float32)>

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

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| ## Args ||
|---|---|
| `x` | A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`, `int8`, `uint8`, `int16`, `uint16`, `int32`, `uint32`, `int64`, `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`. Has the same type as `x`. ||

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