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import os
from collections import OrderedDict
from jobs import BaseJob
from toolkit.metadata import get_meta_for_safetensors
from toolkit.train_tools import get_torch_dtype
process_dict = {
'rescale_lora': 'ModRescaleLoraProcess',
}
class ModJob(BaseJob):
def __init__(self, config: OrderedDict):
super().__init__(config)
self.device = self.get_conf('device', 'cpu')
# loads the processes from the config
self.load_processes(process_dict)
def run(self):
super().run()
print("")
print(f"Running {len(self.process)} process{'' if len(self.process) == 1 else 'es'}")
for process in self.process:
process.run()
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