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3D Pooling.
tf.keras.backend.pool3d(
x, pool_size, strides=(1, 1, 1), padding='valid', data_format=None,
pool_mode='max'
)
x: Tensor or variable.pool_size: tuple of 3 integers.strides: tuple of 3 integers.padding: string, "same" or "valid".data_format: string, "channels_last" or "channels_first".pool_mode: string, "max" or "avg".A tensor, result of 3D pooling.
ValueError: if data_format is neither "channels_last" or
"channels_first".ValueError: if pool_mode is neither "max" or "avg".