Add nnx.shard_map

[cgarciae]

No description provided.

[8bitmp3]

Thanks @cgarciae 🚀

TODO Then we can update the Transforms guide

[carlesoctav]

any updates?

[marcelroed]

@cgarciae This is P0 to me and I imagine to many others too. Let me know if I can do anything to help this along.

[cgarciae]

@marcelroed thanks for the ping. Will try to get it in soon, all the pieces are ready.

[marcelroed]

In the meantime, are there any issues with doing

from jax.experimental.shard_map import shard_map

@partial(shard_map, mesh=mesh, in_specs=..., out_specs=...)
def forward(graph_def, state, x):
    model = nnx.merge(graph_def, state)
    return model(x)

other than mutations not reaching outside of JIT?

[cgarciae]

@marcelroed using split / merge is perfectly valid. If you want to propagate state updates you can also return the new state and use nnx.update outside.