tf.sparse.from

TensorFlow 1 version

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Returns the element-wise max of two SparseTensors.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.sparse.maximum, tf.compat.v1.sparse_maximum

tf.sparse.maximum(
    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.maximum(sp_zero, sp_one).eval()
# "res" should be equal to SparseTensor([[0], [1]], [0, 1], [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.

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tf.sparse / from_dense

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Args

Returns