Buckets:
| 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() | |
Xet Storage Details
- Size:
- 704 Bytes
- Xet hash:
- f9592546d93aa037ed488e608f387c0ad82c639bd80f031501847a30b1b0a026
·
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