tf.sparse_minimum(sp_a, sp_b, name=None)
Returns the element-wise min of two SparseTensors.
Assumes the two SparseTensors have the same shape, i.e., no broadcasting. Example:
1 2 3 4 | sp_zero = ops.SparseTensor([[0]], [0], [7])sp_one = ops.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: aSparseTensoroperand whose dtype is real, and indices lexicographically ordered. -
sp_b: the otherSparseTensoroperand with the same requirements (and the same shape). -
name: optional name of the operation.
Returns:
-
output: the output SparseTensor.
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