feat: add arg to enable dft in liger (#3125)

* feat: add arg to enable dft in liger

* feat: add tests use_token_scaling

* fix: test

* fix: move check to args
This commit is contained in:
NanoCode012
2025-11-10 21:37:47 +07:00
committed by GitHub
parent d0c846fc5e
commit 11eb36585a
5 changed files with 75 additions and 2 deletions

View File

@@ -18,6 +18,9 @@ liger_rms_norm: true
liger_glu_activation: true
liger_layer_norm: true
liger_fused_linear_cross_entropy: true
# FLCE-specific
liger_use_token_scaling: true
```
## Supported Models

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@@ -16,7 +16,7 @@
Module for handling LIGER input arguments.
"""
from pydantic import BaseModel, model_validator
from pydantic import BaseModel, Field, model_validator
from axolotl.utils.logging import get_logger
@@ -35,6 +35,15 @@ class LigerArgs(BaseModel):
liger_glu_activation: bool | None = None
liger_cross_entropy: bool | None = None
liger_fused_linear_cross_entropy: bool | None = None
liger_use_token_scaling: bool | None = Field(
default=None,
json_schema_extra={
"description": (
"Enables use_token_scaling in fused_linear_cross_entropy. "
"When True, each token's loss is multiplied by its predicted probability (detached from gradients)."
)
},
)
@model_validator(mode="before")
@classmethod
@@ -75,6 +84,18 @@ class LigerArgs(BaseModel):
)
return data
@model_validator(mode="before")
@classmethod
def check_liger_use_token_scaling_flce(cls, data):
if data.get("liger_use_token_scaling") and not data.get(
"liger_fused_linear_cross_entropy"
):
raise ValueError(
"`liger_use_token_scaling: true` requires `liger_fused_linear_cross_entropy` enabled."
)
return data
@model_validator(mode="after")
def check_tensor_parallel_size_liger_fused_linear_cross_entropy(self):
# TODO @SalmanMohammadi this is a larger fix - investigate

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@@ -48,6 +48,33 @@ class LigerPlugin(BasePlugin):
"Cannot have both `liger_cross_entropy` and `liger_fused_linear_cross_entropy` set."
)
if cfg.liger_use_token_scaling:
# Patch FLCE to set token_scaling=True for function and class API
from liger_kernel.transformers import functional
from liger_kernel.transformers.fused_linear_cross_entropy import (
LigerFusedLinearCrossEntropyLoss,
)
old_liger_fused_linear_cross_entropy = (
functional.liger_fused_linear_cross_entropy
)
def patched_liger_fused_linear_cross_entropy(*args, **kwargs):
kwargs["use_token_scaling"] = True
return old_liger_fused_linear_cross_entropy(*args, **kwargs)
functional.liger_fused_linear_cross_entropy = (
patched_liger_fused_linear_cross_entropy
)
old_init = LigerFusedLinearCrossEntropyLoss.__init__
def patched_init(self, *args, **kwargs):
kwargs["use_token_scaling"] = True
return old_init(self, *args, **kwargs)
LigerFusedLinearCrossEntropyLoss.__init__ = patched_init
if cfg.model_config_type in MODEL_TYPE_TO_APPLY_LIGER_FN:
apply_liger_fn = MODEL_TYPE_TO_APPLY_LIGER_FN[cfg.model_config_type]
liger_fn_sig = inspect.signature(apply_liger_fn)