tensorflow:: ops:: ParallelDynamicStitch
#include <data_flow_ops.h>
Interleave the values from the data
tensors into a single tensor.
Summary
Builds a merged tensor such that
merged[indices[m][i, ..., j], ...] = data[m][i, ..., j, ...]
For example, if each indices[m]
is scalar or vector, we have
# 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:
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:
# 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.
Args:
- scope: A Scope object
Returns:
Output
: The merged tensor.
Constructors and Destructors |
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ParallelDynamicStitch(const ::tensorflow::Scope & scope, ::tensorflow::InputList indices, ::tensorflow::InputList data)
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Public attributes |
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merged
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operation
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public attributes
merged
::tensorflow::Output merged
operation
Operation operation
Public functions
ParallelDynamicStitch
ParallelDynamicStitch( const ::tensorflow::Scope & scope, ::tensorflow::InputList indices, ::tensorflow::InputList data )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const