tf.contrib.framework.nest.flatten

tf.contrib.framework.nest.flatten(nested)

Defined in tensorflow/python/pywrap_tensorflow_internal.py.

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:

  • 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.