tf.raw_ops.SegmentProd | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.SegmentProd
Stay organized with collections Save and categorize content based on your preferences.
Computes the product along segments of a tensor.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.raw_ops.SegmentProd
tf.raw_ops.SegmentProd(
data, segment_ids, name=None
)
Readthe section on segmentationfor 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)
| Args | |
|---|---|
| data | A 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 | A 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. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor. Has the same type as data. |