Skip to content
Merged
Changes from all commits
Commits
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
40 changes: 34 additions & 6 deletions src/transformers/training_args.py
Original file line number Diff line number Diff line change
Expand Up @@ -2742,10 +2742,24 @@ def _process_fsdp_args(self):
fsdp_plugin_args["transformer_cls_names_to_wrap"] = ",".join(
self.fsdp_config["transformer_layer_cls_to_wrap"]
)
fsdp_plugin_args["fsdp_version"] = self.fsdp_config.get("fsdp_version", 1)
fsdp_version = int(self.fsdp_config.get("version", 1))
fsdp_plugin_args["fsdp_version"] = fsdp_version
prefetch_policy = self.fsdp_config.get("backward_prefetch", "NO_PREFETCH")
fsdp_plugin_args["backward_prefetch"] = prefetch_policy.upper()
fsdp_plugin_args["forward_prefetch"] = str(self.fsdp_config.get("forward_prefetch", "false")).lower()
if fsdp_version == 2:
fsdp_plugin_args["reshard_after_forward"] = str_to_bool(
str(self.fsdp_config.get("reshard_after_forward", "false")).lower()
)
else:
fsdp_plugin_args["forward_prefetch"] = str_to_bool(
str(self.fsdp_config.get("forward_prefetch", "false")).lower()
)
fsdp_plugin_args["backward_prefetch"] = prefetch_policy.upper()
fsdp_plugin_args["reshard_after_forward"] = str(
self.fsdp_config.get("reshard_after_forward", "false")
).lower()
fsdp_plugin_args["use_orig_params"] = str_to_bool(
str(self.fsdp_config.get("use_orig_params", "true")).lower()
)

sync_module_states = str(self.fsdp_config.get("sync_module_states", "true")).lower()
cpu_ram_efficient_loading = str(self.fsdp_config.get("cpu_ram_efficient_loading", "false")).lower()
Expand All @@ -2755,11 +2769,10 @@ def _process_fsdp_args(self):
raise ValueError('`sync_module_states` must be `"True"` if `cpu_ram_efficient_loading` is `"True"`')

# we need to set the env here as otherwise we get a warning in accelerate + we need to set it for transformers
fsdp_plugin_args["cpu_ram_efficient_loading"] = cpu_ram_efficient_loading
fsdp_plugin_args["cpu_ram_efficient_loading"] = str_to_bool(cpu_ram_efficient_loading)
os.environ["FSDP_CPU_RAM_EFFICIENT_LOADING"] = cpu_ram_efficient_loading

fsdp_plugin_args["sync_module_states"] = sync_module_states
fsdp_plugin_args["use_orig_params"] = str(self.fsdp_config.get("use_orig_params", "true")).lower()
fsdp_plugin_args["sync_module_states"] = str_to_bool(sync_module_states)

return fsdp_plugin_args

Expand All @@ -2771,3 +2784,18 @@ class ParallelMode(Enum):
SAGEMAKER_MODEL_PARALLEL = "sagemaker_model_parallel"
SAGEMAKER_DATA_PARALLEL = "sagemaker_data_parallel"
TPU = "tpu"


def str_to_bool(value, to_bool: bool = True) -> int | bool:
"""
Converts a string representation of truth to `True` (1) or `False` (0).

True values are `y`, `yes`, `t`, `true`, `on`, and `1`; False value are `n`, `no`, `f`, `false`, `off`, and `0`;
"""
value = value.lower()
if value in ("y", "yes", "t", "true", "on", "1"):
return 1 if not to_bool else True
elif value in ("n", "no", "f", "false", "off", "0"):
return 0 if not to_bool else False
else:
raise ValueError(f"invalid truth value {value}")