tf.sparse.fill_empty

TensorFlow 1 version

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Masks elements of IndexedSlices.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.sparse.mask, tf.compat.v1.sparse_mask

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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tf.sparse / fill_empty_rows

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For example:

Args

Returns