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change resampler attention to scale_dot_product_attention #446

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change resampler attention to scale_dot_product_attention #446

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6 changes: 2 additions & 4 deletions ip_adapter/resampler.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@

import torch
import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange
from einops.layers.torch import Rearrange

Expand Down Expand Up @@ -68,10 +69,7 @@ def forward(self, x, latents):
v = reshape_tensor(v, self.heads)

# attention
scale = 1 / math.sqrt(math.sqrt(self.dim_head))
weight = (q * scale) @ (k * scale).transpose(-2, -1) # More stable with f16 than dividing afterwards
weight = torch.softmax(weight.float(), dim=-1).type(weight.dtype)
out = weight @ v
out = F.scale_dot_product_attention(q, k, v)

out = out.permute(0, 2, 1, 3).reshape(b, l, -1)

Expand Down