TensorFlow 1 version
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View source on GitHub
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Returns the element-wise max of two SparseTensors.
tf.sparse.maximum(
sp_a, sp_b, name=None
)
Assumes the two SparseTensors have the same shape, i.e., no broadcasting.
Example:
sp_zero = tf.sparse.SparseTensor([[0]], [0], [7])sp_one = tf.sparse.SparseTensor([[1]], [1], [7])res = tf.sparse.maximum(sp_zero, sp_one)res.indices<tf.Tensor: shape=(2, 1), dtype=int64, numpy=array([[0],[1]])>res.values<tf.Tensor: shape=(2,), dtype=int32, numpy=array([0, 1], dtype=int32)>res.dense_shape<tf.Tensor: shape=(1,), dtype=int64, numpy=array([7])>
The reduction version of this elementwise operation is tf.sparse.reduce_max
Args | |
|---|---|
sp_a
|
a SparseTensor operand whose dtype is real, and indices
lexicographically ordered.
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sp_b
|
the other SparseTensor operand with the same requirements (and the
same shape).
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name
|
optional name of the operation. |
Returns | |
|---|---|
output
|
the output SparseTensor. |