tf.sparse_minimum(sp_a, sp_b, name=None)

tf.sparse_minimum(sp_a, sp_b, name=None)

See the guide: Sparse Tensors > Math Operations

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: 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.

Defined in tensorflow/python/ops/sparse_ops.py.