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).
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tf.compat.v1.layers.AveragePooling1D\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v2.9.0/keras/legacy_tf_layers/pooling.py#L29-L91) |\n\nAverage Pooling layer for 1D inputs.\n\nInherits From: [`AveragePooling1D`](../../../../tf/keras/layers/AveragePooling1D), [`Layer`](../../../../tf/compat/v1/layers/Layer), [`Layer`](../../../../tf/keras/layers/Layer), [`Module`](../../../../tf/Module) \n\n tf.compat.v1.layers.AveragePooling1D(\n pool_size,\n strides,\n padding='valid',\n data_format='channels_last',\n name=None,\n **kwargs\n )\n\n\u003cbr /\u003e\n\nMigrate to TF2\n--------------\n\n\u003cbr /\u003e\n\n| **Caution:** This API was designed for TensorFlow v1. Continue reading for details on how to migrate from this API to a native TensorFlow v2 equivalent. See the [TensorFlow v1 to TensorFlow v2 migration guide](https://www.tensorflow.org/guide/migrate) for instructions on how to migrate the rest of your code.\n\nThis API is a legacy api that is only compatible with eager execution and\n[`tf.function`](../../../../tf/function) if you combine it with\n[`tf.compat.v1.keras.utils.track_tf1_style_variables`](../../../../tf/compat/v1/keras/utils/track_tf1_style_variables)\n\nPlease refer to [tf.layers model mapping section of the migration guide](https://www.tensorflow.org/guide/migrate/model_mapping)\nto learn how to use your TensorFlow v1 model in TF2 with Keras.\n\nThe corresponding TensorFlow v2 layer is\n[`tf.keras.layers.AveragePooling1D`](../../../../tf/keras/layers/AveragePooling1D).\n\n#### Structural Mapping to Native TF2\n\nNone of the supported arguments have changed name.\n\nBefore: \n\n pooling = tf.compat.v1.layers.AveragePooling1D(pool_size=2, strides=2)\n\nAfter: \n\n pooling = tf.keras.layers.AveragePooling1D(pool_size=2, strides=2)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\nDescription\n-----------\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `pool_size` | An integer or tuple/list of a single integer, representing the size of the pooling window. |\n| `strides` | An integer or tuple/list of a single integer, specifying the strides of the pooling operation. |\n| `padding` | A string. The padding method, either 'valid' or 'same'. Case-insensitive. |\n| `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)`. |\n| `name` | A string, the name of the layer. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Attributes ---------- ||\n|--------------|---------------|\n| `graph` | \u003cbr /\u003e \u003cbr /\u003e |\n| `scope_name` | \u003cbr /\u003e \u003cbr /\u003e |\n\n\u003cbr /\u003e\n\nMethods\n-------\n\n### `apply`\n\n[View source](https://github.com/keras-team/keras/tree/v2.9.0/keras/legacy_tf_layers/base.py#L239-L240) \n\n apply(\n *args, **kwargs\n )\n\n### `get_losses_for`\n\n[View source](https://github.com/keras-team/keras/tree/v2.9.0/keras/engine/base_layer_v1.py#L1341-L1358) \n\n get_losses_for(\n inputs\n )\n\nRetrieves losses relevant to a specific set of inputs.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ||\n|----------|----------------------------------------------|\n| `inputs` | Input tensor or list/tuple of input tensors. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ||\n|---|---|\n| List of loss tensors of the layer that depend on `inputs`. ||\n\n\u003cbr /\u003e\n\n### `get_updates_for`\n\n[View source](https://github.com/keras-team/keras/tree/v2.9.0/keras/engine/base_layer_v1.py#L1322-L1339) \n\n get_updates_for(\n inputs\n )\n\nRetrieves updates relevant to a specific set of inputs.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ||\n|----------|----------------------------------------------|\n| `inputs` | Input tensor or list/tuple of input tensors. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ||\n|---|---|\n| List of update ops of the layer that depend on `inputs`. ||\n\n\u003cbr /\u003e"]]
View source on GitHub