tf.sparse_segment_mean()

tf.sparse_segment_mean(data, indices, segment_ids, name=None)

Computes the mean along sparse segments of a tensor.

Read the section on Segmentation for an explanation of segments.

Like SegmentMean, but segment_ids can have rank less than data's first dimension, selecting a subset of dimension 0, specified by indices.

Args:

• data: A Tensor. Must be one of the following types: float32, float64.
• indices: A Tensor. Must be one of the following types: int32, int64. A 1-D tensor. Has same rank as segment_ids.
• segment_ids: A Tensor of type int32. A 1-D tensor. 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.