fused modules of EPRI(SGRI) visual models
Project description
USAGE
from torch import nn
from spexmlp.eswiglu import load_license,sFusedSwiglu
load_license(path="mylicense.dat",device="cuda:0")
model=sFusedSwiglu(1280,1280*3,1024)
x=torch.zeros((256,1280),dtype=torch.float16,device='cuda:0')
dy=torch.randn((256,1024),dtype=torch.float16,device='cuda:0')
y=model(x)
y.backward(dy)
print(x.grad)
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