@Namespace(value="tensorflow::ops") @NoOffset @Properties(inherit=tensorflow.class) public class TensorScatterUpdate extends Pointer
updates
into an existing tensor according to indices
.
This operation creates a new tensor by applying sparse updates
to the passed
in tensor
.
This operation is very similar to tf.scatter_nd
, except that the updates are
scattered onto an existing tensor (as opposed to a zero-tensor). If the memory
for the existing tensor cannot be re-used, a copy is made and updated.
If indices
contains duplicates, then their updates are accumulated (summed).
**WARNING**: The order in which updates are applied is nondeterministic, so the
output will be nondeterministic if indices
contains duplicates -- because
of some numerical approximation issues, numbers summed in different order
may yield different results.
indices
is an integer tensor containing indices into a new tensor of shape
shape
. The last dimension of indices
can be at most the rank of shape
:
indices.shape[-1] <= shape.rank
The last dimension of indices
corresponds to indices into elements
(if indices.shape[-1] = shape.rank
) or slices
(if indices.shape[-1] < shape.rank
) along dimension indices.shape[-1]
of
shape
. updates
is a tensor with shape
indices.shape[:-1] + shape[indices.shape[-1]:]
The simplest form of scatter is to insert individual elements in a tensor by
index. For example, say we want to insert 4 scattered elements in a rank-1
tensor with 8 elements.
python
indices = tf.constant([[4], [3], [1], [7]])
updates = tf.constant([9, 10, 11, 12])
tensor = tf.ones([8], dtype=tf.int32)
updated = tf.tensor_scatter_update(tensor, indices, updates)
with tf.Session() as sess:
print(sess.run(scatter))
The resulting tensor would look like this:
[1, 11, 1, 10, 9, 1, 1, 12]
We can also, insert entire slices of a higher rank tensor all at once. For
example, if we wanted to insert two slices in the first dimension of a
rank-3 tensor with two matrices of new values.
In Python, this scatter operation would look like this:
python
indices = tf.constant([[0], [2]])
updates = tf.constant([[[5, 5, 5, 5], [6, 6, 6, 6],
[7, 7, 7, 7], [8, 8, 8, 8]],
[[5, 5, 5, 5], [6, 6, 6, 6],
[7, 7, 7, 7], [8, 8, 8, 8]]])
tensor = tf.ones([4, 4, 4])
updated = tf.tensor_scatter_update(tensor, indices, updates)
with tf.Session() as sess:
print(sess.run(scatter))
The resulting tensor would look like this:
[[[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]],
[[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]],
[[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]],
[[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]]]
Note that on CPU, if an out of bound index is found, an error is returned.
On GPU, if an out of bound index is found, the index is ignored.
Arguments:
* scope: A Scope object
* tensor: Tensor to copy/update.
* indices: Index tensor.
* updates: Updates to scatter into output.
Returns:
* Output
: A new tensor with the given shape and updates applied according
to the indices.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter
Constructor and Description |
---|
TensorScatterUpdate(Pointer p)
Pointer cast constructor.
|
TensorScatterUpdate(Scope scope,
Input tensor,
Input indices,
Input updates) |
Modifier and Type | Method and Description |
---|---|
Input |
asInput() |
Output |
asOutput() |
Node |
node() |
Operation |
operation() |
TensorScatterUpdate |
operation(Operation setter) |
Output |
output() |
TensorScatterUpdate |
output(Output setter) |
address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zero
public TensorScatterUpdate(Pointer p)
Pointer(Pointer)
.public Node node()
public TensorScatterUpdate operation(Operation setter)
public TensorScatterUpdate output(Output setter)
Copyright © 2022. All rights reserved.