tf.raw_ops.SparseSegmentMean | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.SparseSegmentMean
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Computes the mean along sparse segments of a tensor.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.raw_ops.SparseSegmentMean
tf.raw_ops.SparseSegmentMean(
data, indices, segment_ids, sparse_gradient=False, name=None
)
See tf.sparse.segment_sum for usage examples.
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: 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. |
| sparse_gradient | An optional bool. Defaults to False. |
| name | A name for the operation (optional). |
| Returns |
|---|
| A Tensor. Has the same type as data. |
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Last updated 2024-04-26 UTC.