tf.raw_ops.SparseSegmentMeanWithNumSegments

Computes the mean along sparse segments of a tensor.

tf.raw_ops.SparseSegmentMeanWithNumSegments(
    data, indices, segment_ids, num_segments, sparse_gradient=False, name=None
)

Like SparseSegmentMean, but allows missing ids in segment_ids. If an id is missing, the output tensor at that position will be zeroed.

Read the section on segmentation for an explanation of segments.

data A Tensor. Must be one of the following types: bfloat16, half, 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. Must be one of the following types: int32, int64. A 1-D tensor. Values should be sorted and can be repeated.
num_segments A Tensor. Must be one of the following types: int32, int64. Should equal the number of distinct segment IDs.
sparse_gradient An optional bool. Defaults to False.
name A name for the operation (optional).

A Tensor. Has the same type as data.