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[kernel] fix sliding window in prefix prefill Triton kernel #4405
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CC @caoshiyi Can you help take a look at this? |
yep! it is Sat here, but I will take a look at it very soon! @mmoskal thanks for the amazing contribution! |
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Looks pretty good! Also thanks for the comment on shapes. Some comments regarding tests
tests/kernels/test_prefix_prefill.py
Outdated
@@ -15,18 +15,21 @@ | |||
CUDA_DEVICES = [ | |||
f"cuda:{i}" for i in range(1 if torch.cuda.device_count() == 1 else 2) | |||
] | |||
SLIDING_WINDOW = [0, 512] |
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can you try various values? (16, 64, 128, 256, 512, 2048). 2048 is bigger than max seq, but just for sanity check
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Also curious if we can do e2e test against mistral or other model that has sliding window attn enabled..
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I'll try different sizes. I'm trying to get the sliding window to work with v2 block manager (somewhat based on #3967) which should exercise this.
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sg. The test itself will be done in this PR right?
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yes, adding more sliding window parameters now
# exp(). | ||
qk = tl.where((cur_batch_ctx_len + offs_m[:, None]) - | ||
(start_n + offs_n[None, :]) < SLIDING_WINDOW, qk, | ||
-10000) |
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Is -10000 small enough? Maybe consider even smaller values? like -10000000
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-65000 or so is the smallest value for f16. Anyway, this gets exp()ed so -10k should enough.
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Actually good you point this out - I found that in one place I do sm_scale before and in the other after masking with -10000; it doesn't matter much (smallest scale is 1/16 or so, and exp(-10000/16) is still zero) but better to always scale and then mask so we get consistent mask values - fixed
# This then makes m_ij contain -inf, which causes NaNs in | ||
# exp(). | ||
qk = tl.where((cur_batch_ctx_len + offs_m[:, None]) - | ||
(start_n + offs_n[None, :]) < SLIDING_WINDOW, qk, |
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so this means
cur_batch_ctx_len + offs_m[:, None] == end of q
start_n + offs_n[None, :] == end of k
so q-k length is within slinding window, attend it, is this correct?
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yes; I added a comment to that effect
Co-authored-by: SangBin Cho <rkooo567@gmail.com>
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LGTM given it passes with more variations in unit test!
@rkooo567 all tests passed, should be good |
cc @simon-mo to merge! |
…ject#4405) Co-authored-by: SangBin Cho <rkooo567@gmail.com>
…ject#4405) Co-authored-by: SangBin Cho <rkooo567@gmail.com>
…ject#4405) Co-authored-by: SangBin Cho <rkooo567@gmail.com>
This adds support for the sliding window in prefix prefill kernel.
I had to use a large negative value instead of -inf for masking, since otherwise in some situations we get '-inf - -inf' in softmax which leads to NaNs.
Added tests comparing with xformers.
Also added a bunch of comments with tensor shapes etc.
FIX #4057
CC @rkooo567 @cadedaniel @simon-mo
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