Add jax.tree shortcuts for .*_with_path calls, for convenience of users.

PiperOrigin-RevId: 705645570

CHANGELOG.md

@@ -12,6 +12,10 @@ When releasing, please add the new-release-boilerplate to docs/pallas/CHANGELOG.
 
 ## jax 0.4.38
 
+* Changes:
+  * `jax.tree.flatten_with_path` and `jax.tree.map_with_path` are added
+    as shortcuts of the corresponding `tree_util` functions.
+
 * Deprecations
   * a number of APIs in the internal `jax.core` namespace have been deprecated, including
     `ClosedJaxpr`, `full_lower`, `Jaxpr`, `JaxprEqn`, `jaxpr_as_fun`, `lattice_join`,

docs/jax.tree.rst

@@ -13,8 +13,11 @@ List of Functions
 
    all
    flatten
+   flatten_with_path
    leaves
+   leaves_with_path
    map
+   map_with_path
    reduce
    structure
    transpose

jax/_src/tree.py

@@ -284,3 +284,97 @@ def unflatten(treedef: tree_util.PyTreeDef,
     - :func:`jax.tree.structure`
   """
   return tree_util.tree_unflatten(treedef, leaves)
+
+
+def flatten_with_path(
+    tree: Any, is_leaf: Callable[[Any], bool] | None = None
+) -> tuple[list[tuple[tree_util.KeyPath, Any]], tree_util.PyTreeDef]:
+  """Flattens a pytree like ``tree_flatten``, but also returns each leaf's key path.
+
+  Args:
+    tree: a pytree to flatten. If it contains a custom type, it is recommended
+      to be registered with ``register_pytree_with_keys``.
+
+  Returns:
+    A pair which the first element is a list of key-leaf pairs, each of
+    which contains a leaf and its key path. The second element is a treedef
+    representing the structure of the flattened tree.
+
+  Examples:
+    >>> import jax
+    >>> path_vals, treedef = jax.tree.flatten_with_path([1, {'x': 3}])
+    >>> path_vals
+    [((SequenceKey(idx=0),), 1), ((SequenceKey(idx=1), DictKey(key='x')), 3)]
+    >>> treedef
+    PyTreeDef([*, {'x': *}])
+
+  See Also:
+    - :func:`jax.tree.flatten`
+    - :func:`jax.tree.map_with_path`
+    - :func:`jax.tree_util.register_pytree_with_keys`
+  """
+  return tree_util.tree_flatten_with_path(tree, is_leaf)
+
+
+def leaves_with_path(
+    tree: Any, is_leaf: Callable[[Any], bool] | None = None
+) -> list[tuple[tree_util.KeyPath, Any]]:
+  """Gets the leaves of a pytree like ``tree_leaves`` and returns each leaf's key path.
+
+  Args:
+    tree: a pytree. If it contains a custom type, it is recommended to be
+      registered with ``register_pytree_with_keys``.
+
+  Returns:
+    A list of key-leaf pairs, each of which contains a leaf and its key path.
+
+  Examples:
+    >>> import jax
+    >>> jax.tree.leaves_with_path([1, {'x': 3}])
+    [((SequenceKey(idx=0),), 1), ((SequenceKey(idx=1), DictKey(key='x')), 3)]
+
+  See Also:
+    - :func:`jax.tree.leaves`
+    - :func:`jax.tree.flatten_with_path`
+    - :func:`jax.tree_util.register_pytree_with_keys`
+  """
+  return tree_util.tree_leaves_with_path(tree, is_leaf)
+
+
+def map_with_path(
+    f: Callable[..., Any],
+    tree: Any,
+    *rest: Any,
+    is_leaf: Callable[[Any], bool] | None = None,
+) -> Any:
+  """Maps a multi-input function over pytree key path and args to produce a new pytree.
+
+  This is a more powerful alternative of ``tree_map`` that can take the key path
+  of each leaf as input argument as well.
+
+  Args:
+    f: function that takes ``2 + len(rest)`` arguments, aka. the key path and
+      each corresponding leaves of the pytrees.
+    tree: a pytree to be mapped over, with each leaf's key path as the first
+      positional argument and the leaf itself as the second argument to ``f``.
+    *rest: a tuple of pytrees, each of which has the same structure as ``tree``
+      or has ``tree`` as a prefix.
+
+  Returns:
+    A new pytree with the same structure as ``tree`` but with the value at each
+    leaf given by ``f(kp, x, *xs)`` where ``kp`` is the key path of the leaf at
+    the corresponding leaf in ``tree``, ``x`` is the leaf value and ``xs`` is
+    the tuple of values at corresponding nodes in ``rest``.
+
+  Examples:
+    >>> import jax
+    >>> jax.tree.map_with_path(lambda path, x: x + path[0].idx, [1, 2, 3])
+    [1, 3, 5]
+
+  See Also:
+    - :func:`jax.tree.map`
+    - :func:`jax.tree.flatten_with_path`
+    - :func:`jax.tree.leaves_with_path`
+    - :func:`jax.tree_util.register_pytree_with_keys`
+  """
+  return tree_util.tree_map_with_path(f, tree, *rest, is_leaf=is_leaf)

jax/_src/tree_util.py

@@ -1113,16 +1113,7 @@ def register_static(cls: type[H]) -> type[H]:
 def tree_flatten_with_path(
     tree: Any, is_leaf: Callable[[Any], bool] | None = None
 ) -> tuple[list[tuple[KeyPath, Any]], PyTreeDef]:
-  """Flattens a pytree like ``tree_flatten``, but also returns each leaf's key path.
-
-  Args:
-    tree: a pytree to flatten. If it contains a custom type, it must be
-      registered with ``register_pytree_with_keys``.
-  Returns:
-    A pair which the first element is a list of key-leaf pairs, each of
-    which contains a leaf and its key path. The second element is a treedef
-    representing the structure of the flattened tree.
-  """
+  """Alias of :func:`jax.tree.flatten_with_path`."""
   return default_registry.flatten_with_path(tree, is_leaf)
 
 
@@ -1130,18 +1121,7 @@ def tree_flatten_with_path(
 def tree_leaves_with_path(
     tree: Any, is_leaf: Callable[[Any], bool] | None = None
 ) -> list[tuple[KeyPath, Any]]:
-  """Gets the leaves of a pytree like ``tree_leaves`` and returns each leaf's key path.
-
-  Args:
-    tree: a pytree. If it contains a custom type, it must be registered with
-      ``register_pytree_with_keys``.
-  Returns:
-    A list of key-leaf pairs, each of which contains a leaf and its key path.
-
-  See Also:
-    - :func:`jax.tree_util.tree_leaves`
-    - :func:`jax.tree_util.tree_flatten_with_path`
-  """
+  """Alias of :func:`jax.tree.leaves_with_path`."""
   return tree_flatten_with_path(tree, is_leaf)[0]
 
 
@@ -1157,31 +1137,7 @@ _generate_key_paths = generate_key_paths  # alias for backward compat
 def tree_map_with_path(f: Callable[..., Any],
                        tree: Any, *rest: Any,
                        is_leaf: Callable[[Any], bool] | None = None) -> Any:
-  """Maps a multi-input function over pytree key path and args to produce a new pytree.
-
-  This is a more powerful alternative of ``tree_map`` that can take the key path
-  of each leaf as input argument as well.
-
-  Args:
-    f: function that takes ``2 + len(rest)`` arguments, aka. the key path and
-      each corresponding leaves of the pytrees.
-    tree: a pytree to be mapped over, with each leaf's key path as the first
-      positional argument and the leaf itself as the second argument to ``f``.
-    *rest: a tuple of pytrees, each of which has the same structure as ``tree``
-      or has ``tree`` as a prefix.
-
-  Returns:
-    A new pytree with the same structure as ``tree`` but with the value at each
-    leaf given by ``f(kp, x, *xs)`` where ``kp`` is the key path of the leaf at
-    the corresponding leaf in ``tree``, ``x`` is the leaf value and ``xs`` is
-    the tuple of values at corresponding nodes in ``rest``.
-
-  See Also:
-    - :func:`jax.tree_util.tree_map`
-    - :func:`jax.tree_util.tree_flatten_with_path`
-    - :func:`jax.tree_util.tree_leaves_with_path`
-  """
-
+  """Alias of :func:`jax.tree.map_with_path`."""
   keypath_leaves, treedef = tree_flatten_with_path(tree, is_leaf)
   keypath_leaves = list(zip(*keypath_leaves))
   all_keypath_leaves = keypath_leaves + [treedef.flatten_up_to(r) for r in rest]

jax/tree.py

@@ -19,8 +19,11 @@ The :mod:`jax.tree` namespace contains aliases of utilities from :mod:`jax.tree_
 
 from jax._src.tree import (
     all as all,
+    flatten_with_path as flatten_with_path,
     flatten as flatten,
+    leaves_with_path as leaves_with_path,
     leaves as leaves,
+    map_with_path as map_with_path,
     map as map,
     reduce as reduce,
     structure as structure,

tests/tree_util_test.py

@@ -1426,6 +1426,55 @@ class TreeAliasTest(jtu.JaxTestCase):
       tree_util.tree_unflatten(treedef, leaves)
     )
 
+  def test_tree_flatten_with_path(self):
+    obj = [1, 2, (3, 4)]
+    self.assertEqual(
+        jax.tree.flatten_with_path(obj),
+        tree_util.tree_flatten_with_path(obj),
+    )
+
+  def test_tree_flatten_with_path_is_leaf(self):
+    obj = [1, 2, (3, 4)]
+    is_leaf = lambda x: isinstance(x, tuple)
+    self.assertEqual(
+        jax.tree.flatten_with_path(obj, is_leaf=is_leaf),
+        tree_util.tree_flatten_with_path(obj, is_leaf=is_leaf),
+    )
+
+  def test_tree_leaves_with_path(self):
+    obj = [1, 2, (3, 4)]
+    self.assertEqual(
+        jax.tree.leaves_with_path(obj),
+        tree_util.tree_leaves_with_path(obj),
+    )
+
+  def test_tree_leaves_with_path_is_leaf(self):
+    obj = [1, 2, (3, 4)]
+    is_leaf = lambda x: isinstance(x, tuple)
+    self.assertEqual(
+        jax.tree.leaves_with_path(obj, is_leaf=is_leaf),
+        tree_util.tree_leaves_with_path(obj, is_leaf=is_leaf),
+    )
+
+  def test_tree_map_with_path(self):
+    func = lambda kp, x, y: (sum(k.idx for k in kp), x + y)
+    obj = [1, 2, (3, 4)]
+    obj2 = [5, 6, (7, 8)]
+    self.assertEqual(
+        jax.tree.map_with_path(func, obj, obj2),
+        tree_util.tree_map_with_path(func, obj, obj2),
+    )
+
+  def test_tree_map_with_path_is_leaf(self):
+    func = lambda kp, x, y: (sum(k.idx for k in kp), x + y)
+    obj = [1, 2, (3, 4)]
+    obj2 = [5, 6, (7, 8)]
+    is_leaf = lambda x: isinstance(x, tuple)
+    self.assertEqual(
+        jax.tree.map_with_path(func, obj, obj2, is_leaf=is_leaf),
+        tree_util.tree_map_with_path(func, obj, obj2, is_leaf=is_leaf),
+    )
+
 
 class RegistrationTest(jtu.JaxTestCase):