tf.IndexedSlices

Class IndexedSlices

Defined in tensorflow/python/framework/ops.py.

See the guide: Variables > Sparse Variable Updates

A sparse representation of a set of tensor slices at given indices.

This class is a simple wrapper for a pair of Tensor objects:

• values: A Tensor of any dtype with shape [D0, D1, ..., Dn].
• indices: A 1-D integer Tensor with shape [D0].

An IndexedSlices is typically used to represent a subset of a larger tensor dense of shape [LARGE0, D1, .. , DN] where LARGE0 >> D0. The values in indices are the indices in the first dimension of the slices that have been extracted from the larger tensor.

The dense tensor dense represented by an IndexedSlices slices has

dense[slices.indices[i], :, :, :, ...] = slices.values[i, :, :, :, ...]

The IndexedSlices class is used principally in the definition of gradients for operations that have sparse gradients (e.g. tf.gather).

Contrast this representation with tf.SparseTensor, which uses multi-dimensional indices and scalar values.

Properties

dense_shape

A 1-D Tensor containing the shape of the corresponding dense tensor.

device

The name of the device on which values will be produced, or None.

dtype

The DType of elements in this tensor.

graph

The Graph that contains the values, indices, and shape tensors.

indices

A 1-D Tensor containing the indices of the slices.

name

The name of this IndexedSlices.

op

The Operation that produces values as an output.

values

A Tensor containing the values of the slices.

Methods

__init__

__init__(
    values,
    indices,
    dense_shape=None
)

Creates an IndexedSlices.

__neg__

__neg__()