@Namespace(value="tensorflow::ops") @NoOffset @Properties(inherit=tensorflow.class) public class ParallelDynamicStitch extends Pointer
data
tensors into a single tensor.
Builds a merged tensor such that
python
merged[indices[m][i, ..., j], ...] = data[m][i, ..., j, ...]
For example, if each indices[m]
is scalar or vector, we have
python
# Scalar indices:
merged[indices[m], ...] = data[m][...]
# Vector indices:
merged[indices[m][i], ...] = data[m][i, ...]
Each data[i].shape
must start with the corresponding indices[i].shape
,
and the rest of data[i].shape
must be constant w.r.t. i
. That is, we
must have data[i].shape = indices[i].shape + constant
. In terms of this
constant
, the output shape is
merged.shape = [max(indices)] + constant
Values may be merged in parallel, so if an index appears in both indices[m][i]
and indices[n][j]
, the result may be invalid. This differs from the normal
DynamicStitch operator that defines the behavior in that case.
For example:
python
indices[0] = 6
indices[1] = [4, 1]
indices[2] = [[5, 2], [0, 3]]
data[0] = [61, 62]
data[1] = [[41, 42], [11, 12]]
data[2] = [[[51, 52], [21, 22]], [[1, 2], [31, 32]]]
merged = [[1, 2], [11, 12], [21, 22], [31, 32], [41, 42],
[51, 52], [61, 62]]
This method can be used to merge partitions created by dynamic_partition
as illustrated on the following example:
python
# Apply function (increments x_i) on elements for which a certain condition
# apply (x_i != -1 in this example).
x=tf.constant([0.1, -1., 5.2, 4.3, -1., 7.4])
condition_mask=tf.not_equal(x,tf.constant(-1.))
partitioned_data = tf.dynamic_partition(
x, tf.cast(condition_mask, tf.int32) , 2)
partitioned_data[1] = partitioned_data[1] + 1.0
condition_indices = tf.dynamic_partition(
tf.range(tf.shape(x)[0]), tf.cast(condition_mask, tf.int32) , 2)
x = tf.dynamic_stitch(condition_indices, partitioned_data)
# Here x=[1.1, -1., 6.2, 5.3, -1, 8.4], the -1. values remain
# unchanged.
Output
: The merged tensor.Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter
Constructor and Description |
---|
ParallelDynamicStitch(Pointer p)
Pointer cast constructor.
|
ParallelDynamicStitch(Scope scope,
InputList indices,
InputList data) |
Modifier and Type | Method and Description |
---|---|
Input |
asInput() |
Output |
asOutput() |
Output |
merged() |
ParallelDynamicStitch |
merged(Output setter) |
Node |
node() |
Operation |
operation() |
ParallelDynamicStitch |
operation(Operation 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 ParallelDynamicStitch(Pointer p)
Pointer(Pointer)
.public Node node()
public ParallelDynamicStitch operation(Operation setter)
public ParallelDynamicStitch merged(Output setter)
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