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InvokeAI/invokeai/backend/lora/lora_model_raw.py
Ryan Dick 50c9410121 WIP
2024-09-15 04:39:56 +03:00

23 lines
728 B
Python

# Copyright (c) 2024 The InvokeAI Development team
from typing import Dict, Optional
import torch
from invokeai.backend.lora.layers.any_lora_layer import AnyLoRALayer
from invokeai.backend.raw_model import RawModel
class LoRAModelRaw(RawModel): # (torch.nn.Module):
def __init__(self, layers: Dict[str, AnyLoRALayer]):
self.layers = layers
def to(self, device: Optional[torch.device] = None, dtype: Optional[torch.dtype] = None) -> None:
for _key, layer in self.layers.items():
layer.to(device=device, dtype=dtype)
def calc_size(self) -> int:
model_size = 0
for _, layer in self.layers.items():
model_size += layer.calc_size()
return model_size