Added support for traditional LoRa extract using LoCon script

jobs/process/BaseExtractProcess.py

@@ -8,6 +8,8 @@ from toolkit.metadata import get_meta_for_safetensors
 
 from typing import ForwardRef
 
+from toolkit.train_tools import get_torch_dtype
+
 
 class BaseExtractProcess(BaseProcess):
     process_id: int
@@ -26,6 +28,8 @@ class BaseExtractProcess(BaseProcess):
         self.process_id = process_id
         self.job = job
         self.config = config
+        self.dtype = self.get_conf('dtype', self.job.dtype)
+        self.torch_dtype = get_torch_dtype(self.dtype)
 
     def run(self):
         # here instead of init because child init needs to go first
@@ -70,6 +74,11 @@ class BaseExtractProcess(BaseProcess):
         # save
         os.makedirs(os.path.dirname(self.output_path), exist_ok=True)
 
+        for key in list(state_dict.keys()):
+            v = state_dict[key]
+            v = v.detach().clone().to("cpu").to(self.torch_dtype)
+            state_dict[key] = v
+
         # having issues with meta
         save_file(state_dict, self.output_path, save_meta)
 

jobs/process/BaseProcess.py

@@ -21,13 +21,13 @@ class BaseProcess:
     def get_conf(self, key, default=None, required=False, as_type=None):
         if key in self.config:
             value = self.config[key]
-            if as_type is not None:
+            if as_type is not None and value is not None:
                 value = as_type(value)
             return value
         elif required:
             raise ValueError(f'config file error. Missing "config.process[{self.process_id}].{key}" key')
         else:
-            if as_type is not None:
+            if as_type is not None and default is not None:
                 return as_type(default)
             return default
 

jobs/process/ExtractLoconProcess.py

@@ -37,8 +37,8 @@ class ExtractLoconProcess(BaseExtractProcess):
         # set modes
         if self.mode not in ['fixed', 'threshold', 'ratio', 'quantile']:
             raise ValueError(f"Unknown mode: {self.mode}")
-        self.linear_param = self.get_conf('linear', mode_dict[self.mode]['linear'], mode_dict[self.mode]['type'])
-        self.conv_param = self.get_conf('conv', mode_dict[self.mode]['conv'], mode_dict[self.mode]['type'])
+        self.linear_param = self.get_conf('linear', mode_dict[self.mode]['linear'], as_type=mode_dict[self.mode]['type'])
+        self.conv_param = self.get_conf('conv', mode_dict[self.mode]['conv'], as_type=mode_dict[self.mode]['type'])
 
     def run(self):
         super().run()

jobs/process/ExtractLoraProcess.py

@@ -0,0 +1,52 @@
+from collections import OrderedDict
+from toolkit.lycoris_utils import extract_diff
+from .BaseExtractProcess import BaseExtractProcess
+
+mode_dict = {
+    'fixed': {
+        'dim': 4,
+        'type': int
+    }
+}
+
+CLAMP_QUANTILE = 0.99
+MIN_DIFF = 1e-6
+
+
+class ExtractLoraProcess(BaseExtractProcess):
+
+    def __init__(self, process_id: int, job, config: OrderedDict):
+        super().__init__(process_id, job, config)
+        self.mode = self.get_conf('mode', 'fixed')
+
+        # set modes
+        if self.mode not in ['fixed']:
+            raise ValueError(f"Unknown mode: {self.mode}")
+        self.dim = self.get_conf('dim', mode_dict[self.mode]['dim'], as_type=mode_dict[self.mode]['type'])
+        self.use_sparse_bias = self.get_conf('use_sparse_bias', False)
+        self.sparsity = self.get_conf('sparsity', 0.98)
+
+    def run(self):
+        super().run()
+        print(f"Running process: {self.mode}, dim: {self.dim}")
+
+        state_dict, extract_diff_meta = extract_diff(
+            self.job.base_model,
+            self.job.extract_model,
+            self.mode,
+            self.dim,
+            0,
+            self.job.device,
+            self.use_sparse_bias,
+            self.sparsity,
+            small_conv=False,
+            linear_only=True,
+        )
+
+        self.add_meta(extract_diff_meta)
+        self.save(state_dict)
+
+    def get_output_path(self, prefix=None, suffix=None):
+        if suffix is None:
+            suffix = f"_{self.dim}"
+        return super().get_output_path(prefix, suffix)

jobs/process/__init__.py

@@ -1,5 +1,6 @@
 from .BaseExtractProcess import BaseExtractProcess
 from .ExtractLoconProcess import ExtractLoconProcess
+from .ExtractLoraProcess import ExtractLoraProcess
 from .BaseProcess import BaseProcess
 from .BaseTrainProcess import BaseTrainProcess
 from .TrainFineTuneProcess import TrainFineTuneProcess