Computes the product 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 the product is over
j such that
segment_ids[j] == i.
If the product is empty for a given segment ID
output[i] = 1.
c = tf.constant([[1,2,3,4], [4, 3, 2, 1], [5,6,7,8]]) tf.segment_prod(c, tf.constant([0, 0, 1])) # ==> [[4, 6, 6, 4], # [5, 6, 7, 8]]
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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SegmentProd( const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids )
::tensorflow::Node * node() const
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Code samples licensed under the Apache 2.0 License.