tf.contrib.framework.nest.pack_sequence_as( structure, flat_sequence )
Defined in tensorflow/python/util/nest.py
.
Returns a given flattened sequence packed into a given structure.
If structure
is a scalar, flat_sequence
must be a single-element list; in this case the return value is flat_sequence[0]
.
If structure
is or contains a dict instance, the keys will be sorted to pack the flat sequence in deterministic order. This is true also for OrderedDict
instances: their sequence order is ignored, the sorting order of keys is used instead. The same convention is followed in flatten
. This correctly repacks dicts and OrderedDict
s after they have been flattened, and also allows flattening an OrderedDict
and then repacking it back using a corresponding plain dict, or vice-versa. Dictionaries with non-sortable keys cannot be flattened.
structure
: Nested structure, whose structure is given by nested lists, tuples, and dicts. Note: numpy arrays and strings are considered scalars.flat_sequence
: flat sequence to pack.packed
: flat_sequence
converted to have the same recursive structure as structure
.ValueError
: If flat_sequence
and structure
have different element counts.TypeError
: structure
is or contains a dict with non-sortable keys.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/framework/nest/pack_sequence_as