Add support for memory efficient attention for AMD/ROCm

[Looong01]

🚀 The feature, motivation and pitch

Enable support for Flash Attention Memory Efficient and SDPA kernels for AMD GPUs.

At present using these gives below warning with latest nightlies (torch==2.4.0.dev20240413+rocm6.0, pytorch-triton-rocm 3.0.0+0a22a91d04):

/site-packages/diffusers/models/attention_processor.py:1117: UserWarning: 1Torch was not compiled with memory efficient attention. (Triggered internally at ../aten/src/ATen/native/transformers/hip/sdp_utils.cpp:505.)

Alternatives

Users cannot use the native PyTorch APIs with memory efficient attention.

Additional context

No response

[Epliz]

Hi,

Not sure what is the status, but looks like AMD has been working on it: pytorch#114309

[taylding-amd]

Hi @Looong01, the support should already be included, please refer to this issue for more details: pytorch#112997

[Looong01]

Thanks!