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Add Flash, cuDNN, Efficient attention for Flux #2045

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Add Flash, cuDNN, Efficient attention for Flux #2045

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2ab5bc6
Add Flash, cuDNN, Efficient attention for Flux
rockerBOO Apr 12, 2025
90d14b9
Remove priority
rockerBOO Apr 12, 2025
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5 changes: 4 additions & 1 deletion library/flux_models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,6 +18,7 @@
from einops import rearrange
from torch import Tensor, nn
from torch.utils.checkpoint import checkpoint
from torch.nn.attention import SDPBackend, sdpa_kernel

from library import custom_offloading_utils

Expand Down Expand Up @@ -445,11 +446,13 @@ class ModelSpec:

# region math

kernels = [SDPBackend.FLASH_ATTENTION, SDPBackend.CUDNN_ATTENTION, SDPBackend.EFFICIENT_ATTENTION, SDPBackend.MATH]

def attention(q: Tensor, k: Tensor, v: Tensor, pe: Tensor, attn_mask: Optional[Tensor] = None) -> Tensor:
q, k = apply_rope(q, k, pe)

x = torch.nn.functional.scaled_dot_product_attention(q, k, v, attn_mask=attn_mask)
with sdpa_kernel(kernels):
x = torch.nn.functional.scaled_dot_product_attention(q, k, v, attn_mask=attn_mask)
x = rearrange(x, "B H L D -> B L (H D)")

return x
Expand Down