Module fathom.core.tree_util
Addendum to fedjax.core.tree_util
Utilities for working with tree-like container data structures.
In JAX, the term pytree refers to a tree-like structure built out of container-like Python objects. For more details, see https://jax.readthedocs.io/en/latest/pytrees.html.
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# Copyright 2022 FATHOM Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Addendum to fedjax.core.tree_util
Utilities for working with tree-like container data structures.
In JAX, the term pytree refers to a tree-like structure built out of
container-like Python objects.
For more details, see https://jax.readthedocs.io/en/latest/pytrees.html.
"""
from typing import Iterable, Tuple
from fedjax.core.typing import PyTree
from fedjax.core.tree_util import tree_weight
import jax
import jax.numpy as jnp
@jax.jit
def tree_dot(left: PyTree, right: PyTree) -> float:
"""Returns squared l2 norm of tree."""
return sum(jnp.vdot(l, r) for l, r in zip(jax.tree_util.tree_leaves(left), jax.tree_util.tree_leaves(right)))
@jax.jit
def tree_inverse_weight(pytree: PyTree, weight: float) -> PyTree:
"""Weights tree leaves by ``1 / weight``."""
inverse_weight = jnp.where(weight > 0., (1. / weight), 0.)
return tree_weight(pytree, inverse_weight)
Functions
def tree_dot(left: Any, right: Any) ‑> float
-
Returns squared l2 norm of tree.
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@jax.jit def tree_dot(left: PyTree, right: PyTree) -> float: """Returns squared l2 norm of tree.""" return sum(jnp.vdot(l, r) for l, r in zip(jax.tree_util.tree_leaves(left), jax.tree_util.tree_leaves(right)))
def tree_inverse_weight(pytree: Any, weight: float) ‑> Any
-
Weights tree leaves by
1 / weight
.Expand source code
@jax.jit def tree_inverse_weight(pytree: PyTree, weight: float) -> PyTree: """Weights tree leaves by ``1 / weight``.""" inverse_weight = jnp.where(weight > 0., (1. / weight), 0.) return tree_weight(pytree, inverse_weight)