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use pytorch built-in SiLU function to save GPU memory usage #331

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3 changes: 2 additions & 1 deletion ldm/modules/diffusionmodules/model.py
Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@
import numpy as np
from einops import rearrange
from typing import Optional, Any
import torch.nn.functional as F

from ldm.modules.attention import MemoryEfficientCrossAttention

Expand Down Expand Up @@ -40,7 +41,7 @@ def get_timestep_embedding(timesteps, embedding_dim):

def nonlinearity(x):
# swish
return x*torch.sigmoid(x)
return F.silu(x)


def Normalize(in_channels, num_groups=32):
Expand Down