|TensorFlow 1 version||View source on GitHub|
Masks elements of
Compat aliases for migration
See Migration guide for more details.
tf.sparse.mask( a, mask_indices, name=None )
a, returns another
contains a subset of the slices of
a. Only the slices at indices not
mask_indices are returned.
This is useful when you need to extract a subset of slices in an
# `a` contains slices at indices [12, 26, 37, 45] from a large tensor # with shape [1000, 10] a.indices # [12, 26, 37, 45] tf.shape(a.values) # [4, 10] # `b` will be the subset of `a` slices at its second and third indices, so # we want to mask its first and last indices (which are at absolute # indices 12, 45) b = tf.sparse.mask(a, [12, 45]) b.indices # [26, 37] tf.shape(b.values) # [2, 10]
||Indices of elements to mask.|
||A name for the operation (optional).|