tf.sparse.mask
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Masks elements of IndexedSlices.
tf.sparse.mask(
a, mask_indices, name=None
)
Given an IndexedSlices instance a, returns another IndexedSlices that contains a subset of the slices of a. Only the slices at indices not specified in mask_indices are returned.
This is useful when you need to extract a subset of slices in an IndexedSlices object.
For example:
# `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]
| Args | |
|---|---|
a | An IndexedSlices instance. |
mask_indices | Indices of elements to mask. |
name | A name for the operation (optional). |
| Returns | |
|---|---|
The masked IndexedSlices instance. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/sparse/mask