# tf.raw_ops.Max

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Computes the maximum of elements across dimensions of a tensor.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.Max(
        input, axis, keep_dims=False, name=None
    )

Reduces `input` along the dimensions given in `axis`. Unless
`keep_dims` is true, the rank of the tensor is reduced by 1 for each entry in
`axis`. If `keep_dims` is true, the reduced dimensions are
retained with length 1.

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| ## Args ||
|---|---|
| `input` | A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `int64`, `bfloat16`, `uint16`, `half`, `uint32`, `uint64`, `qint8`, `quint8`, `qint32`, `qint16`, `quint16`. The tensor to reduce. |
| `axis` | A `Tensor`. Must be one of the following types: `int32`, `int64`. The dimensions to reduce. Must be in the range `[-rank(input), rank(input))`. |
| `keep_dims` | An optional `bool`. Defaults to `False`. If true, retain reduced dimensions with length 1. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `input`. ||

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