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fix distributed devices #612

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merged 3 commits into from
Sep 21, 2023
+12 −4
Merged

fix distributed devices #612

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2129036
fix distributed devices
maximegmd Sep 20, 2023
b670694
Update distributed.py
maximegmd Sep 20, 2023
a75a3bc
Update distributed.py
maximegmd Sep 20, 2023
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8 changes: 4 additions & 4 deletions src/axolotl/utils/distributed.py
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Original file line number Diff line number Diff line change
Expand Up @@ -77,7 +77,7 @@ def gather_scalar_from_all_ranks(fn, world_size=1): # pylint: disable=invalid-n
value_scalar = fn()
if not is_distributed():
return [value_scalar]
value_tensor = torch.tensor(value_scalar, device=dist.get_rank()).float()
value_tensor = torch.tensor(value_scalar, device=torch.cuda.current_device()).float()

if not is_main_process():
dist.gather(value_tensor, dst=0)
Expand Down Expand Up @@ -137,9 +137,9 @@ def compute_and_broadcast(fn): # pylint: disable=invalid-name
"""
if is_main_process():
value_scalar = fn()
value_tensor = torch.tensor(value_scalar, device=dist.get_rank()).float()
value_tensor = torch.tensor(value_scalar, device=torch.cuda.current_device()).float()
else:
value_tensor = torch.tensor(0.0, device=dist.get_rank()) # Placeholder tensor
value_tensor = torch.tensor(0.0, device=torch.cuda.current_device()) # Placeholder tensor

# Broadcast the tensor to all processes.
barrier()
Expand All @@ -164,7 +164,7 @@ def gather_from_all_ranks(fn, world_size=1): # pylint: disable=invalid-name
- A list of computed values from all ranks if on the gathering rank, otherwise None.
"""
value_scalar = fn()
value_tensor = torch.tensor(value_scalar, device=dist.get_rank()).float()
value_tensor = torch.tensor(value_scalar, device=torch.cuda.current_device()).float()

# Placeholder tensor for gathering results
if is_main_process():
Expand Down
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