Aliases:
tf.sparse.minimum
tf.sparse_minimum
tf.sparse.minimum(
sp_a,
sp_b,
name=None
)
Defined in tensorflow/python/ops/sparse_ops.py
.
Returns the element-wise min of two SparseTensors.
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
: aSparseTensor
operand whose dtype is real, and indices lexicographically ordered.sp_b
: the otherSparseTensor
operand with the same requirements (and the same shape).name
: optional name of the operation.
Returns:
output
: the output SparseTensor.