tf.layers.max_pooling1d

Max Pooling layer for 1D inputs. (deprecated)

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.layers.max_pooling1d

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

Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use keras.layers.MaxPooling1D instead.

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.