A dict-like object that maps string to Layout instances.
tf.keras.dtensor.experimental.LayoutMap(
    mesh=None
)
  LayoutMap uses a string as key and a Layout as value. There is a behavior difference between a normal Python dict and this class. The string key will be treated as a regex when retrieving the value. See the docstring of get for more details.
See below for a usage example. You can define the naming schema of the Layout, and then retrieve the corresponding Layout instance.
To use the LayoutMap with a Model, please see the docstring of tf.keras.dtensor.experimental.layout_map_scope.
map = LayoutMap(mesh=None) map['.*dense.*kernel'] = layout_2d map['.*dense.*bias'] = layout_1d map['.*conv2d.*kernel'] = layout_4d map['.*conv2d.*bias'] = layout_1d layout_1 = map['dense_1.kernel'] # layout_1 == layout_2d layout_2 = map['dense_1.bias'] # layout_2 == layout_1d layout_3 = map['dense_2.kernel'] # layout_3 == layout_2d layout_4 = map['dense_2.bias'] # layout_4 == layout_1d layout_5 = map['my_model/conv2d_123/kernel'] # layout_5 == layout_4d layout_6 = map['my_model/conv2d_123/bias'] # layout_6 == layout_1d
| Args | |
|---|---|
| mesh | An optional Meshthat can be used to create all replicated layout as default when there isn't a layout found based on the input string query. | 
clearclear()
D.clear() -> None. Remove all items from D.
get
get(
    key, default=None
)
 Retrieve the corresponding layout by the string key.
When there isn't an exact match, all the existing keys in the layout map will be treated as a regex and map against the input key again. The first match will be returned, based on the key insertion order. Return None if there isn't any match found.
| Args | |
|---|---|
| key | the string key as the query for the layout. | 
| Returns | |
|---|---|
| Corresponding layout based on the query. | 
get_default_meshget_default_mesh()
Return the default Mesh set at instance creation.
The Mesh can be used to create default replicated Layout when there isn't a match of the input string query.
itemsitems()
D.items() -> a set-like object providing a view on D's items
keyskeys()
D.keys() -> a set-like object providing a view on D's keys
pop
pop(
    key, default=__marker
)
 D.pop(k[,d]) -> v, remove specified key and return the corresponding value. If key is not found, d is returned if given, otherwise KeyError is raised.
popitempopitem()
D.popitem() -> (k, v), remove and return some (key, value) pair as a 2-tuple; but raise KeyError if D is empty.
setdefault
setdefault(
    key, default=None
)
 D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D
update
update(
    *args, **kwds
)
 D.update([E, ]**F) -> None. Update D from mapping/iterable E and F. If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v
valuesvalues()
D.values() -> an object providing a view on D's values
__contains__
__contains__(
    key
)
 __eq__
__eq__(
    other
)
 Return self==value.
__getitem__
__getitem__(
    key
)
 Retrieve the corresponding layout by the string key.
When there isn't an exact match, all the existing keys in the layout map will be treated as a regex and map against the input key again. The first match will be returned, based on the key insertion order. Return None if there isn't any match found.
| Args | |
|---|---|
| key | the string key as the query for the layout. | 
| Returns | |
|---|---|
| Corresponding layout based on the query. | 
__iter____iter__()
__len____len__()
    © 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
    https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/keras/dtensor/experimental/LayoutMap