Returns the element-wise min of two SparseTensors.
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.
|
TensorFlow 1 version
View source on GitHub