|  TensorFlow 2 version |  View source on GitHub | 
Global max pooling operation for temporal data.
tf.keras.layers.GlobalMaxPool1D(
    data_format='channels_last', **kwargs
)
| Arguments | |
|---|---|
| data_format | A string,
one of channels_last(default) orchannels_first.
The ordering of the dimensions in the inputs.channels_lastcorresponds to inputs with shape(batch, steps, features)whilechannels_firstcorresponds to inputs with shape(batch, features, steps). | 
Input shape:
- If data_format='channels_last': 3D tensor with shape:(batch_size, steps, features)
- If data_format='channels_first': 3D tensor with shape:(batch_size, features, steps)
Output shape:
2D tensor with shape (batch_size, features).