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[Accelerate] Remove is_module_offloaded and update_prefix_dict #366

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[Accelerate] Remove is_module_offloaded and update_prefix_dict #366

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26 changes: 0 additions & 26 deletions src/compressed_tensors/utils/offload.py
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Original file line number Diff line number Diff line change
Expand Up @@ -68,10 +68,8 @@


__all__ = [
"is_module_offloaded",
"get_execution_device",
"get_offloaded_device",
"update_prefix_dict",
"update_parameter_data",
"register_offload_parameter",
"update_offload_parameter",
Expand Down Expand Up @@ -116,11 +114,6 @@ def fallback_fn(*args, **kwargs):
""" Candidates for Depreciation """


@check_accelerate(fallback=False)
def is_module_offloaded(module: torch.nn.Module) -> bool:
return has_offloaded_params(module)


def get_offloaded_device(module: torch.nn.Module) -> torch.device:
"""
:param module: module to check
Expand All @@ -133,25 +126,6 @@ def get_offloaded_device(module: torch.nn.Module) -> torch.device:
return next(module.parameters()).device


@check_accelerate(fallback=None)
def update_prefix_dict(module: torch.nn.Module, key: str, data: torch.Tensor):
"""
Updates the offloaded state dict for a given module. Parameter named key is replaced
by data. This is neccesary because parameter updates for offloaded modules do not
persist automatically between loads. This function only affects the offloaded
state dict and not the current state of the loaded module.

:param module: module containing the parameter to update
:param key: name of parameter to update
:param data: tensor to update parameter with in the offloaded state dict
"""
if not has_offloaded_params(module):
raise ValueError("Prefix dict is only applicable to offloaded modules")

weights_map = module._hf_hook.weights_map
offload_to_weights_map(weights_map, key, data)


def update_parameter_data(
module: torch.nn.Module, new_param_data: torch.Tensor, param_name: str
):
Expand Down