Computes the minimum along segments of a tensor.
tf.raw_ops.SegmentMin(
data, segment_ids, name=None
)
Read the section on segmentation for an explanation of segments.
Computes a tensor such that
\(output_i = \min_j(data_j)\) where min
is over j
such
that segment_ids[j] == i
.
If the min is empty for a given segment ID i
, output[i] = 0
.
For example:
c = tf.constant([[1,2,3,4], [4, 3, 2, 1], [5,6,7,8]])
tf.segment_min(c, tf.constant([0, 0, 1]))
# ==> [[1, 2, 2, 1],
# [5, 6, 7, 8]]
Returns | |
---|---|
A Tensor . Has the same type as data .
|