AutoGPTQ/auto_gptq/nn_modules/_fused_base.py
2023-05-26 13:11:30 +08:00

42 lines
939 B
Python

from abc import abstractmethod
from logging import getLogger
import torch.nn as nn
from .triton_utils.mixin import TritonModuleMixin
logger = getLogger(__name__)
class FusedBaseModule(nn.Module, TritonModuleMixin):
@classmethod
@abstractmethod
def inject_to_model(cls, *args, **kwargs):
raise NotImplementedError()
class FusedBaseAttentionModule(FusedBaseModule):
@classmethod
@abstractmethod
def inject_to_model(
cls,
model,
use_triton=False,
group_size=-1,
use_cuda_fp16=True,
desc_act=False,
trainable=False,
**kwargs
):
raise NotImplementedError()
@classmethod
def warmup(cls, model, transpose=False, seqlen=2048):
pass
class FusedBaseMLPModule(FusedBaseModule):
@classmethod
@abstractmethod
def inject_to_model(cls, model, use_triton=False, **kwargs):
raise NotImplementedError()