Skip to content

[pmap] In-line definitions of jax.device_put_sharded and jax.device_put_replicated. #179

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
copybara-service merged 1 commit into from
Mar 26, 2026
Merged

[pmap] In-line definitions of jax.device_put_sharded and jax.device_put_replicated. #179

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
16 changes: 14 additions & 2 deletions clrs/_src/baselines.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -125,15 +125,27 @@ def _maybe_put_replicated(tree):
if jax.local_device_count() == 1:
return jax.device_put(tree)
else:
return jax.device_put_replicated(tree, jax.local_devices())
devices = jax.local_devices()
mesh = jax.sharding.Mesh(np.array(devices), ('_device_put_sharded',))
sharding = jax.NamedSharding(mesh, jax.P('_device_put_sharded'))

def _replicate(x):
if isinstance(x, jax.Array):
return jax.device_put(jnp.stack([x] * len(devices)), sharding)
return jax.device_put(np.stack([x] * len(devices)), sharding)

return jax.tree_util.tree_map(_replicate, tree)


def _maybe_pmap_rng_key(rng_key: _Array):
n_devices = jax.local_device_count()
if n_devices == 1:
return rng_key
devices = jax.local_devices()
pmap_rng_keys = jax.random.split(rng_key, n_devices)
return jax.device_put_sharded(list(pmap_rng_keys), jax.local_devices())
mesh = jax.sharding.Mesh(np.array(devices), ('_device_put_sharded',))
sharding = jax.NamedSharding(mesh, jax.P('_device_put_sharded'))
return jax.device_put(jnp.stack(list(pmap_rng_keys)), sharding)


class BaselineModel(model.Model):
Expand Down
Loading