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Update utils.py

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This commit is contained in:
Daniel Han 2025-03-03 18:29:35 -08:00
commit d93cca24a8
1 changed files with 29 additions and 22 deletions
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51
unsloth/kernels/utils.py
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@ -93,27 +93,29 @@ cdequantize_blockwise_bf16_nf4 = bnb.functional.lib.cdequantize_blockwise_bf16_
cgemm_4bit_inference_naive_fp16 = bnb.functional.lib.cgemm_4bit_inference_naive_fp16
cgemm_4bit_inference_naive_bf16 = bnb.functional.lib.cgemm_4bit_inference_naive_bf16
def QUANT_STATE(W):
return getattr(W, "quant_state", None)
pass
def QUANT_STATE(W): return getattr(W, "quant_state", None)
def get_lora_parameters(proj):
# For DPO or disabled adapters
base_layer = (proj.base_layer if hasattr(proj, "base_layer") else proj)
base_layer = getattr(proj, "base_layer", proj) # (proj.base_layer if hasattr(proj, "base_layer") else proj)
W = base_layer.weight
if not hasattr(proj, "disable_adapters") or proj.disable_adapters or proj.merged:
return W, QUANT_STATE(W), None, None, None
# if not hasattr(proj, "disable_adapters") or proj.disable_adapters or proj.merged:
if getattr(proj, "disable_adapters", True) or proj.merged:
return W, getattr(W, "quant_state", None), None, None, None
pass
active_adapter = proj.active_adapters[0] if \
hasattr(proj, "active_adapters") else proj.active_adapter
A = proj.lora_A [active_adapter].weight
B = proj.lora_B [active_adapter].weight
s = proj.scaling[active_adapter]
return W, QUANT_STATE(W), A, B, s
adapter = getattr(proj, "active_adapters", None)
if adapter is None: adapter = getattr(proj, "active_adapter", ("default"))
adapter = adapter[0]
return (
W,
getattr(W, "quant_state", None),
proj.lora_A [adapter].weight,
proj.lora_B [adapter].weight,
proj.scaling[adapter],
)
pass
@ -121,19 +123,24 @@ def get_lora_parameters_bias(proj):
# For DPO or disabled adapters
base_layer = getattr(proj, "base_layer", proj) # (proj.base_layer if hasattr(proj, "base_layer") else proj)
W = base_layer.weight
bias = base_layer.bias
# if not hasattr(proj, "disable_adapters") or proj.disable_adapters or proj.merged:
if getattr(proj, "disable_adapters", True) or proj.merged:
return W, QUANT_STATE(W), None, None, None, bias
return W, getattr(W, "quant_state", None), None, None, None, bias
pass
active_adapter = proj.active_adapters[0] if \
getattr(proj, "active_adapters", ) else proj.active_adapter
A = proj.lora_A [active_adapter].weight
B = proj.lora_B [active_adapter].weight
s = proj.scaling[active_adapter]
return W, QUANT_STATE(W), A, B, s, bias
adapter = getattr(proj, "active_adapters", None)
if adapter is None: adapter = getattr(proj, "active_adapter", ("default"))
adapter = adapter[0]
return (
W,
getattr(W, "quant_state", None),
proj.lora_A [adapter].weight,
proj.lora_B [adapter].weight,
proj.scaling[adapter],
base_layer.bias,
)
pass
if HAS_CUDA_STREAM: