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fix indentation

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This commit is contained in:
Angus-Luo 2020-03-31 12:21:55 +08:00
parent bf967f19ab
commit f30aedc0e0
4 changed files with 31 additions and 31 deletions
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4
tensorflow/python/data/experimental/ops/batching.py
View File

@ -122,8 +122,8 @@ def dense_to_sparse_batch(batch_size, row_shape):
row_shape: A `tf.TensorShape` or `tf.int64` vector tensor-like object
representing the equivalent dense shape of a row in the resulting
`tf.sparse.SparseTensor`. Each element of this dataset must have the same
rank as `row_shape`, and must have size less than or equal to
`row_shape` in each dimension.
rank as `row_shape`, and must have size less than or equal to
`row_shape` in each dimension.
Returns:
A `Dataset` transformation function, which can be passed to

4
tensorflow/python/data/util/sparse.py
View File

@ -66,7 +66,7 @@ def as_dense_types(types, classes):
Returns:
a structure matching the nested structure of `types`, containing
`dtypes.variant` at positions where `classes` contains
`tf.sparse.SparseTensor` and matching contents of `types` otherwise
`tf.sparse.SparseTensor` and matching contents of `types` otherwise
"""
ret = nest.pack_sequence_as(types, [
dtypes.variant if c is sparse_tensor.SparseTensor else ty
@ -107,7 +107,7 @@ def get_classes(tensors):
Returns:
a structure matching the nested structure of `tensors`, containing
`tf.sparse.SparseTensor` at positions where `tensors` contains a sparse
tensor and `tf.Tensor` otherwise.
tensor and `tf.Tensor` otherwise.
"""
return nest.pack_sequence_as(tensors, [
sparse_tensor.SparseTensor

10
tensorflow/python/ops/sets_impl.py
View File

@ -169,7 +169,7 @@ def set_intersection(a, b, validate_indices=True):
((1, 1, 3), 8),
])
b = tf.sparse.SparseTensor(list(b.keys()), list(b.values()),
dense_shape=[2, 2, 4])
dense_shape=[2, 2, 4])
# `tf.sets.intersection` is applied to each aligned pair of sets.
tf.sets.intersection(a, b)
@ -227,7 +227,7 @@ def set_difference(a, b, aminusb=True, validate_indices=True):
((1, 1, 1), 6),
])
a = tf.sparse.SparseTensor(list(a.keys()), list(a.values()),
dense_shape=[2, 2, 2])
dense_shape=[2, 2, 2])
# np.array([[{1, 3}, {2}], [{4, 5}, {5, 6, 7, 8}]])
b = collections.OrderedDict([
@ -242,7 +242,7 @@ def set_difference(a, b, aminusb=True, validate_indices=True):
((1, 1, 3), 8),
])
b = tf.sparse.SparseTensor(list(b.keys()), list(b.values()),
dense_shape=[2, 2, 4])
dense_shape=[2, 2, 4])
# `set_difference` is applied to each aligned pair of sets.
tf.sets.difference(a, b)
@ -307,7 +307,7 @@ def set_union(a, b, validate_indices=True):
((1, 1, 1), 6),
])
a = tf.sparse.SparseTensor(list(a.keys()), list(a.values()),
dense_shape=[2, 2, 2])
dense_shape=[2, 2, 2])
# [[{1, 3}, {2}], [{4, 5}, {5, 6, 7, 8}]]
b = collections.OrderedDict([
@ -322,7 +322,7 @@ def set_union(a, b, validate_indices=True):
((1, 1, 3), 8),
])
b = tf.sparse.SparseTensor(list(b.keys()), list(b.values()),
dense_shape=[2, 2, 4])
dense_shape=[2, 2, 4])
# `set_union` is applied to each aligned pair of sets.
tf.sets.union(a, b)

44
tensorflow/python/util/nest.py
View File

@ -311,7 +311,7 @@ def flatten(structure, expand_composites=False):
structure: an arbitrarily nested structure. Note, numpy arrays are
considered atoms and are not flattened.
expand_composites: If true, then composite tensors such as
tf.sparse.SparseTensor and tf.RaggedTensor are expanded into their
`tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
component tensors.
Returns:
@ -358,15 +358,15 @@ def assert_same_structure(nest1, nest2, check_types=True,
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).
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
`tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
component tensors.
Raises:
@ -536,11 +536,11 @@ def pack_sequence_as(structure, flat_sequence, expand_composites=False):
Args:
structure: Nested structure, whose structure is given by nested lists,
tuples, and dicts. Note: numpy arrays and strings are considered
scalars.
tuples, and dicts. Note: numpy arrays and strings are considered
scalars.
flat_sequence: flat sequence to pack.
expand_composites: If true, then composite tensors such as
`tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
`tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
component tensors.
Returns:
@ -578,8 +578,8 @@ def map_structure(func, *structure, **kwargs):
considered to have the same shallow structure.
* `expand_composites`: If set to `True`, then composite tensors such
as `tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into
their component tensors. If `False` (the default), then composite
tensors are not expanded.
their component tensors. If `False` (the default), then composite
tensors are not expanded.
Returns:
A new structure with the same arity as `structure`, whose values correspond
@ -766,7 +766,7 @@ def assert_shallow_structure(shallow_tree,
this function will consider two different namedtuple classes with the same
name and _fields attribute to be the same class.
expand_composites: If true, then composite tensors such as
tf.sparse.SparseTensor and tf.RaggedTensor are expanded into their
`tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
component tensors.
Raises:
TypeError: If `shallow_tree` is a sequence but `input_tree` is not.
@ -916,7 +916,7 @@ def flatten_up_to(shallow_tree, input_tree, check_types=True,
check_types: bool. If True, check that each node in shallow_tree has the
same type as the corresponding node in input_tree.
expand_composites: If true, then composite tensors such as
tf.sparse.SparseTensor and tf.RaggedTensor are expanded into their
`tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
component tensors.
Returns:
@ -1021,7 +1021,7 @@ def flatten_with_tuple_paths_up_to(shallow_tree,
check_types: bool. If True, check that each node in shallow_tree has the
same type as the corresponding node in input_tree.
expand_composites: If true, then composite tensors such as
tf.sparse.SparseTensor and tf.RaggedTensor are expanded into their
`tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
component tensors.
Returns:
@ -1240,7 +1240,7 @@ def get_traverse_shallow_structure(traverse_fn, structure,
substructure to traverse.
structure: The structure to traverse.
expand_composites: If true, then composite tensors such as
tf.sparse.SparseTensor and tf.RaggedTensor are expanded into their
`tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
component tensors.
Returns:
@ -1321,12 +1321,12 @@ def yield_flat_paths(nest, expand_composites=False):
Args:
nest: the value to produce a flattened paths list for.
expand_composites: If true, then composite tensors such as
tf.sparse.SparseTensor and tf.RaggedTensor are expanded into their
`tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
component tensors.
Yields:
Tuples containing index or key values which form the path to a specific
leaf value in the nested structure.
leaf value in the nested structure.
"""
is_seq = is_sequence_or_composite if expand_composites else is_sequence
for k, _ in _yield_flat_up_to(nest, nest, is_seq):
@ -1347,7 +1347,7 @@ def flatten_with_joined_string_paths(structure, separator="/",
separator: string to separate levels of hierarchy in the results, defaults
to '/'.
expand_composites: If true, then composite tensors such as
tf.sparse.SparseTensor and tf.RaggedTensor are expanded into their
`tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
component tensors.
Returns:
@ -1372,7 +1372,7 @@ def flatten_with_tuple_paths(structure, expand_composites=False):
Args:
structure: the nested structure to flatten.
expand_composites: If true, then composite tensors such as
tf.sparse.SparseTensor and tf.RaggedTensor are expanded into their
`tf.sparse.SparseTensor` and `tf.RaggedTensor` are expanded into their
component tensors.
Returns: