tf.keras.ops.segment_max

Computes the max of segments in a tensor.

tf.keras.ops.segment_max(
    data, segment_ids, num_segments=None, sorted=False
)

Args
data	Input tensor.
segment_ids	A 1-D tensor containing segment indices for each element in data.
num_segments	An integer representing the total number of segments. If not specified, it is inferred from the maximum value in segment_ids.
sorted	A boolean indicating whether segment_ids is sorted. Defaults toFalse.

Returns
A tensor containing the max of segments, where each element represents the max of the corresponding segment in data.

Example:

data = keras.ops.convert_to_tensor([1, 2, 10, 20, 100, 200])
segment_ids = keras.ops.convert_to_tensor([0, 0, 1, 1, 2, 2])
num_segments = 3
keras.ops.segment_max(data, segment_ids, num_segments)
array([2, 20, 200], dtype=int32)