Asserts that two structures are nested in the same way.
tf.nest.assert_same_structure(
nest1, nest2, check_types=True, expand_composites=False
)
Note that namedtuples with identical name and fields are always considered
to have the same shallow structure (even with check_types=True).
For instance, this code will print True:
def nt(a, b):
return collections.namedtuple('foo', 'a b')(a, b)
print(assert_same_structure(nt(0, 1), nt(2, 3)))
Args |
|---|
nest1
|
an arbitrarily nested structure.
|
nest2
|
an arbitrarily nested structure.
|
check_types
|
if True (default) types of sequences are checked as well,
including the keys of dictionaries. If set to False, for example a
list and a tuple of objects will look the same if they have the same
size. Note that namedtuples with identical name and fields are always
considered to have the same shallow structure. Two types will also be
considered the same if they are both list subtypes (which allows "list"
and "_ListWrapper" from trackable dependency tracking to compare
equal).
|
expand_composites
|
If true, then composite tensors such as
tf.sparse.SparseTensor and tf.RaggedTensor are expanded into their
component tensors.
|
Raises |
|---|
ValueError
|
If the two structures do not have the same number of elements or
if the two structures are not nested in the same way.
|
TypeError
|
If the two structures differ in the type of sequence in any of
their substructures. Only possible if check_types is True.
|
TensorFlow 1 version
View source on GitHub