Interleave the values from the data tensors into a single tensor.
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Compat aliases for migration
See Migration guide for more details.
tf.compat.v1.raw_ops.ParallelDynamicStitch
tf.raw_ops.ParallelDynamicStitch(
indices, data, name=None
)
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.
![[TensorFlow]](https://www.gstatic.com/devrel-devsite/prod/vdc800838fb8be04a9a7685606311d18c65800504bccf261551968ac74bffd42e/tensorflow/images/lockup.svg){kind=link}
![[DynamicStitch.png]](https://www.tensorflow.org/images/DynamicStitch.png){kind=link}
Args | |
|---|---|
indices
|
A list of at least 1 Tensor objects with type int32.
|
data
|
A list with the same length as indices of Tensor objects with the same type.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor. Has the same type as data.
|