Computes the minimum along segments of a tensor.
Read the section on segmentation for an explanation of segments.
Computes a tensor such that \(output_i = (data_j)\) where
min is over
j such that
segment_ids[j] == i.
If the min is empty for a given segment ID
output[i] = 0.
data's first dimension. Values should be sorted and can be repeated.
Output: Has same shape as data, except for dimension 0 which has size
k, the number of segments.
|Constructors and Destructors|
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SegmentMin( const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids )
::tensorflow::Node * node() const
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.