Update _utils.py
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1 changed files with 24 additions and 17 deletions
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@ -242,21 +242,28 @@ pass
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# For mixed precision, we need it to be in float32 not float16.
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from peft.tuners.lora.layer import LoraLayer
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import inspect, re
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source = inspect.getsource(LoraLayer.update_layer)
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text = "if weight is not None:\n"
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start = source.find(text) + len(text)
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end = source.find("self.to(weight.device)", start)
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spaces = re.findall(r"^([ ]{1,})break", source, flags = re.MULTILINE)[0]
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source = source.replace(source[start : end], spaces)
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spaces = len(re.match(r"[\s]{1,}", source).group(0))
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lines = source.split("\n")
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source = "\n".join(x[spaces:] for x in lines)
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source = re.sub("([^\.])nn\.", r"\1torch.nn.", source)
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source = source.replace("def update_layer", "def LoraLayer_update_layer")
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exec(source, globals())
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try:
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source = inspect.getsource(LoraLayer.update_layer)
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text = "if weight is not None:\n"
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start = source.find(text) + len(text)
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end = source.find("self.to(weight.device)", start)
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spaces = re.findall(r"^([ ]{1,})break", source, flags = re.MULTILINE)[0]
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source = source.replace(source[start : end], spaces)
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spaces = len(re.match(r"[\s]{1,}", source).group(0))
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lines = source.split("\n")
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source = "\n".join(x[spaces:] for x in lines)
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source = re.sub("([^\.])nn\.", r"\1torch.nn.", source)
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source = source.replace("def update_layer", "def LoraLayer_update_layer")
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exec(source, globals())
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# Fix up incorrect downcasting of LoRA weights
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from peft.tuners.lora.layer import LoraLayer
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LoraLayer.update_layer = LoraLayer_update_layer
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from peft.tuners.lora import LoraLayer
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LoraLayer.update_layer = LoraLayer_update_layer
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# Fix up incorrect downcasting of LoRA weights
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from peft.tuners.lora.layer import LoraLayer
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LoraLayer.update_layer = LoraLayer_update_layer
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from peft.tuners.lora import LoraLayer
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LoraLayer.update_layer = LoraLayer_update_layer
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except:
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logger.warning_once(
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"Unsloth unsuccessfully patched LoraLayer.update_layer. Please file a bug report.\n"\
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"Luckily, your training run will still work in the meantime!"
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)
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pass
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