Attention did not use mha kernel (muti head attention) on orin TRT8.6.10

[Nusselder9]

My model has an attention module like this:

It did not use mha kernel on my orin with TensorRT8.6.10 (os 6.0.7.0):

However, on x86 TensorRT 8.6.1, it can use mha kernel:

I would like to use mha on orin. What can I do? Thanks!

[Nusselder9]

To avoid uncertain influence, I export a toy attention with seq_length=128, batchsize=1, emd_dim=256 like this:

However, it still can NOT use mha kernel on orin TRT8.6.10:

Please give some help. Thanks very much!

[zerollzeng]

@nvpohanh I have a vague memory that this is expected(I've seen a internal bug before) that the fused mha kernel doens't enable in TRT 8.6, am I correct?

[nvpohanh]

Is it possible to try TRT 9.2? https://github.com/NVIDIA/TensorRT/blob/release/9.2/docker/ubuntu-22.04.Dockerfile#L92-L95

[Nusselder9]

Sorry but our business scenario won't be able to upgrade TRT within the near future.

Is there a way to fix or avoid the bug and enable fused mha on TRT 8.6? @zerollzeng @nvpohanh

thx!

[nvpohanh]

Could you try adding a LayerNorm into the network? That will encourage TRT 8.6 to trigger the Transformer-specific fusions.

[Nusselder9]

Thanks for your reply.@nvpohanh I have tried adding LN after attention, but it does not work.

[nvpohanh]

@Nusselder9 could you share the ONNX with the LayerNorm? TRT 8.6 has quite restricted MHA pattern matching code and we need to find out why it didn't trigger the fusion. TRT 9.2 has much looser checking.

I would also try to make the MHA looks like:

[B, S, H] -MatMul-> [B, S, H] -Reshape-> [B, S, N, h] -Transpose-> [B, N, S, h] -> MatMul -> [B, N, S, S] -> MatMul -> [B, N, S, h] -Transpose-> [B, S, N, h] -Reshape-> [B, S, H] -LayerNorm->...
[B, S, H] -MatMul-> [B, S, H] -Reshape-> [B, S, N, h] -Transpose-> [B, N, h, S] ---^                           ^
[B, S, H] -MatMul-> [B, S, H] -Reshape-> [B, S, N, h] -Transpose-> [B, N, S, h] --------------------------------

where B=1, S=128, H=256, N=8, h=32

[Nusselder9]

Thanks for your kind reply. The attachment is my attention.
attention.zip
The zip file has two type of attention and both of them can not use fmha.

[nvpohanh]

@Nusselder9 Could you share the ONNX files with the LayerNorm? Thanks!

[Nusselder9]

Here is attention with LN. @nvpohanh
attention_ln.zip

[nvpohanh]

Filed internal tracker 4438093 . Will let you know if we have some findings. Thanks

[nvpohanh]

Internal investigation shows that TRT 8.6.10 did not have any MHA fusion support on Orin. Could you try TRT 8.6.11?

[Nusselder9]

thanks, I will try.

[lix19937]

@nvpohanh I think the question mha kernel is not inaccurate description.

Internal investigation shows that TRT 8.6.10 did not have any MHA fusion support on Orin. Could you try TRT 8.6.11?

If an onnx include standard transformer struct(like ViT decoder), TRT 8.6.11 can open MHA fusion ?

In my opinion, CustomQKVToContextPluginDynamic can do some fusion but it need match some conditions if user use plugin.

[XuDeshengCat]

Did TRT 8.6.13 have any MHA fusion support？

[Feynman1999]

Did TRT 9.2 have any MHA fusion support？ and how to make them work