tf.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]).
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.output: the output SparseTensor.
© 2018 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