def flatten(nest):
"""Returns a flat list from a given nested structure.
If `nest` is not a sequence, tuple, or dict, then returns a single-element
list: `[nest]`.
In the case of dict instances, the sequence consists of the values, sorted by
key to ensure deterministic behavior. 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 `pack_sequence_as`. 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 correponding plain dict, or vice-versa.
Dictionaries with non-sortable keys cannot be flattened.
Users must not modify any collections used in `nest` while this function is
running.
Args:
nest: an arbitrarily nested structure or a scalar object. Note, numpy
arrays are considered scalars.
Returns:
A Python list, the flattened version of the input.
Raises:
TypeError: The nest is or contains a dict with non-sortable keys.
"""
return _pywrap_tensorflow.Flatten(nest)
def flatten(structure, expand_composites=False):
"""Returns a flat list from a given nested structure.
If nest is not a sequence, tuple, or dict, then returns a single-element list:
[nest].
In the case of dict instances, the sequence consists of the values, sorted by
key to ensure deterministic behavior. 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 pack_sequence_as. This correctly
repacks dicts and OrderedDicts 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.
Users must not modify any collections used in nest while this function is
running.
Args:
structure: an arbitrarily nested structure or a scalar object. Note, numpy
arrays are considered scalars.
expand_composites: If true, then composite tensors such as tf.SparseTensor
and tf.RaggedTensor are expanded into their component tensors.
Returns:
A Python list, the flattened version of the input.
Raises:
TypeError: The nest is or contains a dict with non-sortable keys.
"""
return _pywrap_tensorflow.Flatten(structure, expand_composites)