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Fix the GPU multi host segmentation fault on XPK #129

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Fix the GPU multi host segmentation fault on XPK #129

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a0b1e55
Update the huggingface_hub version in setup script so that pip instal…
wang2yn84 Oct 25, 2024
07563ba
Fix the GPU multi host segmentation fault on XPK.
wang2yn84 Oct 25, 2024
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2 changes: 1 addition & 1 deletion setup.py
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Original file line number Diff line number Diff line change
Expand Up @@ -97,7 +97,7 @@
"filelock",
"flax>=0.4.1",
"hf-doc-builder>=0.3.0",
"huggingface-hub>=0.13.2",
"huggingface-hub==0.24.7",
"requests-mock==1.10.0",
"importlib_metadata",
"invisible-watermark>=0.2.0",
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5 changes: 1 addition & 4 deletions src/maxdiffusion/max_utils.py
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Expand Up @@ -397,8 +397,7 @@ def setup_initial_state(
if not state:
max_logging.log(f"Could not find the item in orbax, creating state...")

init_train_state_partial = functools.partial(
init_train_state,
state = init_train_state(
model=model,
tx=tx,
weights_init_fn=weights_init_fn,
Expand All @@ -407,8 +406,6 @@ def setup_initial_state(
eval_only=False,
)

state = jax.jit(init_train_state_partial, in_shardings=None, out_shardings=state_mesh_shardings)()
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@wang2yn84 the jit function here shards the models according to the sharding specification in the config yml. In DDP, this won't make a difference since the state is replicated, but removing this function would prevent running FSDP or other sharding configurations.


state = unbox_logicallypartioned_trainstate(state)

return state, state_mesh_shardings
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