tf.sparse.minimum

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Returns the element-wise min of two SparseTensors.

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Compat aliases for migration

See Migration 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.