tf.sparse.retain
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Retains specified non-empty values within a SparseTensor.
tf.sparse.retain( sp_input, to_retain )
For example, if sp_input has shape [4, 5] and 4 non-empty string values:
[0, 1]: a [0, 3]: b [2, 0]: c [3, 1]: d
and to_retain = [True, False, False, True], then the output will be a SparseTensor of shape [4, 5] with 2 non-empty values:
[0, 1]: a [3, 1]: d
Args |
|---|
sp_input | The input SparseTensor with N non-empty elements. |
to_retain | A bool vector of length N with M true values. |
Returns |
|---|
A SparseTensor with the same shape as the input and M non-empty elements corresponding to the true positions in to_retain. |
Raises |
|---|
TypeError | If sp_input is not a SparseTensor. |
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Last updated 2024-04-26 UTC.
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