Computes the product along segments of a tensor.
tf.raw_ops.SegmentProd(
data, segment_ids, name=None
)
Read the section on segmentation for an explanation of segments.
Computes a tensor such that
\(output_i = \prod_j data_j\) where the product is over j such
that segment_ids[j] == i.
If the product is empty for a given segment ID i, output[i] = 1.
c = tf.constant([[1,2,3,4], [4, 3, 2, 1], [5,6,7,8]])tf.math.segment_prod(c, tf.constant([0, 0, 1])).numpy()array([[4, 6, 6, 4],[5, 6, 7, 8]], dtype=int32)
data
Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, qint16, quint16, uint16, complex128, half, uint32, uint64.
segment_ids
Tensor. Must be one of the following types: int32, int64.
A 1-D tensor whose size is equal to the size of data's
first dimension. Values should be sorted and can be repeated.
Tensor. Has the same type as data.
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Last updated 2024-04-26 UTC.