tf.sparse_maximum
tf.sparse_maximum
tf.sparse_maximum
sparse_maximum( sp_a, sp_b, name=None )
Defined in tensorflow/python/ops/sparse_ops.py
.
See the guide: Sparse Tensors > Math Operations
Returns the element-wise max 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_maximum(sp_zero, sp_one).eval() # "res" should be equal to SparseTensor([[0], [1]], [0, 1], [7]).
Args:
-
sp_a
: aSparseTensor
operand whose dtype is real, and indices lexicographically ordered. -
sp_b
: the otherSparseTensor
operand with the same requirements (and the same shape). -
name
: optional name of the operation.
Returns:
-
output
: the output SparseTensor.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/sparse_maximum