Max Pooling layer for 1D inputs.

Migrate to TF2

This API is not compatible with eager execution or tf.function.

Please refer to tf.layers section of the migration guide to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2 layer is tf.keras.layers.MaxPooling1D.

Structural Mapping to Native TF2

None of the supported arguments have changed name.


 y = tf.compat.v1.layers.max_pooling1d(x, pool_size=2, strides=2)


To migrate code using TF1 functional layers use the Keras Functional API:

 x = tf.keras.Input((28, 28, 1))
 y = tf.keras.layers.MaxPooling1D(pool_size=2, strides=2)(x)
 model = tf.keras.Model(x, y)


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.

The output tensor, of rank 3.

ValueError if eager execution is enabled.