tf.raw_ops.SparseSegmentMeanWithNumSegments

Computes the mean along sparse segments of a tensor.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.SparseSegmentMeanWithNumSegments

tf.raw_ops.SparseSegmentMeanWithNumSegments(
    data, indices, segment_ids, num_segments, 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.

Args
data	A Tensor. Must be one of the following types: bfloat16, 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.
name	A name for the operation (optional).

Returns
A Tensor. Has the same type as data.