# tf.layers.max_pooling1d

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/layers/pooling.py#L131-L165) |

Max Pooling layer for 1D inputs. (deprecated)

#### View aliases


**Compat aliases for migration**

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

[`tf.compat.v1.layers.max_pooling1d`](https://www.tensorflow.org/api_docs/python/tf/compat/v1/layers/max_pooling1d)

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    tf.layers.max_pooling1d(
        inputs, pool_size, strides, padding='valid', data_format='channels_last',
        name=None
    )

> [!WARNING]
> **Warning:** THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use keras.layers.MaxPooling1D instead.

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| ## Arguments ||
|---|---|
| `inputs` | The tensor over which to pool. Must have rank 3. |
| `pool_size` | An integer or tuple/list of a single integer, representing the size of the pooling window. |
| `strides` | An integer or tuple/list of a single integer, specifying the strides of the pooling operation. |
| `padding` | A string. The padding method, either 'valid' or 'same'. Case-insensitive. |
| `data_format` | A string, one of `channels_last` (default) or `channels_first`. The ordering of the dimensions in the inputs. `channels_last` corresponds to inputs with shape `(batch, length, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, length)`. |
| `name` | A string, the name of the layer. |

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| ## Returns ||
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| The output tensor, of rank 3. ||

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| ## Raises ||
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| `ValueError` | if eager execution is enabled. |

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