Mask algebra for selecting and combining JAX PyTree leaves.
Project description
maskx
Minimal path-based masking for JAX PyTrees.
maskx builds Mask objects from pytree paths and simple mask algebra.
import jax
import maskx
weight = maskx.select(model, target=r".*/weight", leaf_type=jax.Array)
decoder = maskx.select(model, target=r"decoder/.*", leaf_type=jax.Array)
mask = decoder & weight
paths = mask.paths()
count = mask.count()
Selectors can be based on target, path_prefix, path_in, leaf_type, shape, dtype, and ndim.
Mask operators: |, &, ^, +, -, ~
Works with Optax:
import jax
import optax
import maskx
weight = maskx.select(model, target=r".*/weight", leaf_type=jax.Array)
optimizer = optax.masked(optax.adam(1e-3), weight.tree)
Works with Paramax:
import jax
import jax.tree_util as jtu
import maskx
import paramax
weight_mask = maskx.select(model, target="weight", leaf_type=jax.Array)
frozen = jtu.tree_map(
lambda leaf, selected: paramax.NonTrainable(leaf) if selected else leaf,
model,
weight_mask.tree,
)
The library is intentionally small: it only builds and combines masks.
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