fix: flash_attn_3_func value unpacking in _wrapped_flash_attn_3 w th compile

[badayvedat]

What does this PR do?

The _wrapped_flash_attn_3 function unconditionally unpacks both out and lse from the return value:

out, lse, *_ = flash_attn_3_func(...)

However, it was not passing return_attn_probs=True to request the tuple return. Since Dao-AILab/flash-attention@203b9b3, flash_attn_func returns only out by default, causing:

 File "/root/flash-attention/diffusers/.venv/lib/python3.12/site-packages/torch/_compile.py", line 51, in inner
    return disable_fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/root/flash-attention/diffusers/.venv/lib/python3.12/site-packages/torch/_dynamo/eval_frame.py", line 838, in _fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/root/flash-attention/diffusers/.venv/lib/python3.12/site-packages/torch/_library/custom_ops.py", line 367, in wrapped_fn
    return fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^
  File "/root/flash-attention/diffusers/src/diffusers/models/attention_dispatch.py", line 643, in _wrapped_flash_attn_3
    out, lse, *_ = flash_attn_3_func(
    ^^^^^^^^^^^^
ValueError: not enough values to unpack (expected at least 2, got 1)

How does this pr fixes it

Adds return_attn_probs=True to the flash_attn_3_func call, consistent with how _flash_attention_3_hub handles.

Reproduction

# requirements.txt
git+github.com/huggingface/diffusers@5e48f466b9c0d257f2650e8feec378a0022f2402"
torch==2.7.1
transformers
accelerate
--extra-index-url=https://download.pytorch.org/whl/cu128

and bring your own flash attention build, to repro this i built it from source @ Dao-AILab/flash-attention@ac9b5f1

import torch
from diffusers import FluxPipeline

pipe = FluxPipeline.from_pretrained(
    "black-forest-labs/FLUX.1-dev",
    torch_dtype=torch.bfloat16
).to("cuda")

pipe.transformer.set_attention_backend("_flash_3")

# ValueError: not enough values to unpack (expected at least 2, got 1)
pipe("a photo of a cat", num_inference_steps=1)

Alternative

The wrapper seems to exist to support fa3 as custom op. However, fa3 now has native torch.compile support as of Dao-AILab/flash-attention@c7697bb. This might be making _wrapped_flash_attn_3 redundant, tho i dont really know if that is the only reason.

Before submitting

• This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
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• Did you write any new necessary tests?

Who can review?

• General functionalities: @sayakpaul @yiyixuxu @DN6

[sayakpaul]

Thanks for your PR. Since torch.compile support has been merged, would you be interested in refactoring and cleaning up the FA3 backend in attention_dispatch.py?