| |
|
| | from functools import partial
|
| |
|
| | import torch
|
| | from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
|
| | from torch.distributed.fsdp import MixedPrecision, ShardingStrategy
|
| | from torch.distributed.fsdp.wrap import lambda_auto_wrap_policy
|
| |
|
| |
|
| | def shard_model(
|
| | model,
|
| | device_id,
|
| | param_dtype=torch.bfloat16,
|
| | reduce_dtype=torch.float32,
|
| | buffer_dtype=torch.float32,
|
| | process_group=None,
|
| | sharding_strategy=ShardingStrategy.FULL_SHARD,
|
| | sync_module_states=True,
|
| | ):
|
| | model = FSDP(
|
| | module=model,
|
| | process_group=process_group,
|
| | sharding_strategy=sharding_strategy,
|
| | auto_wrap_policy=partial(
|
| | lambda_auto_wrap_policy, lambda_fn=lambda m: m in model.blocks),
|
| | mixed_precision=MixedPrecision(
|
| | param_dtype=param_dtype,
|
| | reduce_dtype=reduce_dtype,
|
| | buffer_dtype=buffer_dtype),
|
| | device_id=device_id,
|
| | sync_module_states=sync_module_states)
|
| | return model
|
| |
|
