tf.sparse.minimum

Returns the element-wise min of two SparseTensors.

View aliases

Compat aliases for migration

tf.compat.v1.sparse.minimum, tf.compat.v1.sparse_minimum, tf.compat.v2.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 = sparse_tensor.SparseTensor([[0]], [0], [7])
sp_one = sparse_tensor.SparseTensor([[1]], [1], [7])
res = tf.sparse.minimum(sp_zero, sp_one).eval()
# "res" should be equal to SparseTensor([[0], [1]], [0, 0], [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.