{ }
Computes the product along segments of a tensor.
tf.math.segment_prod(
data: Annotated[Any, tf.raw_ops.Any
],
segment_ids: Annotated[Any, tf.raw_ops.Any
],
name=None
) -> Annotated[Any, tf.raw_ops.Any
]
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
.
For example:
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)
Returns | |
---|---|
A Tensor . Has the same type as data .
|