tf.keras.ops.segment_max
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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)
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Last updated 2024-06-07 UTC.
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