Interleave the values from the `data`

tensors into a single tensor.

tf.dynamic_stitch( 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 are merged in order, so if an index appears in both `indices[m][i]`

and `indices[n][j]`

for `(m,i) < (n,j)`

the slice `data[n][j]`

will appear in the merged result. If you do not need this guarantee, ParallelDynamicStitch might perform better on some devices.

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 | |
---|---|

`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` . |

© 2020 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/versions/r1.15/api_docs/python/tf/dynamic_stitch