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.
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.
__init__
__init__( values, indices, dense_shape=None )
Creates an IndexedSlices
.
__neg__
__neg__()
© 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/IndexedSlices