tf.sparse.minimum | TensorFlow v2.16.1 (original) (raw)
tf.sparse.minimum
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Returns the element-wise min of two SparseTensors.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.sparse.minimum, tf.compat.v1.sparse_minimum
tf.sparse.minimum(
sp_a, sp_b, name=None
)
Assumes the two SparseTensors have the same shape, i.e., no broadcasting.
| Example |
|---|
| >>> sp_zero = tf.sparse.SparseTensor([[0]], [0], [7]) >>> sp_one = tf.sparse.SparseTensor([[1]], [1], [7]) >>> res = tf.sparse.minimum(sp_zero, sp_one) >>> res.indices <tf.Tensor: shape=(2, 1), dtype=int64, numpy= array([[0], [1]])> >>> res.values <tf.Tensor: shape=(2,), dtype=int32, numpy=array([0, 0], dtype=int32)> >>> res.dense_shape <tf.Tensor: shape=(1,), dtype=int64, numpy=array([7])> |
| Args | |
|---|---|
| sp_a | a SparseTensor operand whose dtype is real, and indices lexicographically ordered. |
| sp_b | the other SparseTensor operand with the same requirements (and the same shape). |
| name | optional name of the operation. |
| Returns | |
|---|---|
| output | the output SparseTensor. |
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Last updated 2024-04-26 UTC.