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