tf.compat.v1.layers.MaxPooling3D

Max Pooling layer for 1D inputs.

tf.compat.v1.layers.max_pooling1d(
    inputs, pool_size, strides, padding='valid',
    data_format='channels_last', name=None
)

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.

Returns
The output tensor, of rank 3.

Raises
`ValueError`	if eager execution is enabled.

TensorFlow

tf.compat / v1 / v1.layers.MaxPooling3D

Arguments

Returns

Raises

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.compat / v1 / v1.layers.MaxPooling3D

Arguments

Returns

Raises