# tf.math.reduce_max

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|---|---|
| [![](https://www.tensorflow.org/images/tf_logo_32px.png) TensorFlow 1 version](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/math/reduce_max) | [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.4.0/tensorflow/python/ops/math_ops.py#L2701-L2746) |

Computes the maximum of elements across dimensions of a tensor.

#### View aliases


**Main aliases**

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

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    tf.math.reduce_max(
        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
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.

#### Usage example:

    x = tf.constant([5, 1, 2, 4])
    print(tf.reduce_max(x))
    tf.Tensor(5, shape=(), dtype=int32)
    x = tf.constant([-5, -1, -2, -4])
    print(tf.reduce_max(x))
    tf.Tensor(-1, shape=(), dtype=int32)
    x = tf.constant([4, float('nan')])
    print(tf.reduce_max(x))
    tf.Tensor(nan, shape=(), dtype=float32)
    x = tf.constant([float('nan'), float('nan')])
    print(tf.reduce_max(x))
    tf.Tensor(nan, shape=(), dtype=float32)
    x = tf.constant([float('-inf'), float('inf')])
    print(tf.reduce_max(x))
    tf.Tensor(inf, shape=(), dtype=float32)

See the numpy docs for `np.amax` and `np.nanmax` behavior.

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| ## Args ||
|---|---|
| `input_tensor` | The tensor to reduce. Should have real numeric type. |
| `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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