# tf.segment_prod(data, segment_ids, name=None)

### tf.segment_prod(data, segment_ids, name=None)

See the guide: Math > Segmentation

Computes the product along segments of a tensor.

Read the section on Segmentation for an explanation of segments.

Computes a tensor such that $$output_i = \prod_j data_j$$ where the product is over j such that segment_ids[j] == i.

#### Args:

• data: A Tensor. Must be one of the following types: float32, float64, int64, int32, uint8, uint16, int16, int8, complex64, complex128, qint8, quint8, qint32, half.
• segment_ids: A Tensor. Must be one of the following types: int32, int64. A 1-D tensor whose rank is equal to the rank 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. Has same shape as data, except for dimension 0 which has size k, the number of segments.

Defined in tensorflow/python/ops/gen_math_ops.py.