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[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 - #220

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[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16#220
cyanguwa wants to merge 11 commits into
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@cyanguwacyanguwa commented May 13, 2023

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This PR adds some higher level modules in PyTorch to support the fused attention C API created in #155 and #175. In particular, the FusedAttention module in PyTorch branches out to these four backends:

cyanguwa added 11 commits May 7, 2023 20:00
@cyanguwa
add FusedAttention module
4b12509
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add higher level PyTorch modules for cuDNN fused attention imple…
a859095
…mentations
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add PyTorch moduels for fused attention
6d351aa
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add bias/fp8_meta all the way up to TransformerLayer
961a416
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: fix ctx_aux_tensors
93406ed
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: finished Python side
eb72a58
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
add the C parts to be compatible with higher-level changes
cb65523
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
rebase after bf16/fp16 <=512 seqlen merge (PR 175)
4bfe5ae
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: test fused attn vs flash attn; different results
5497f3c
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
Working: bf16/fp16 <=512, fused attn = flash attn with small tolerance
aa2516f
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
remove prints and torch saves
d779873
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
cyanguwa deleted the fused_attn/fp8_fp16bf16v1_pytorch branch February 22, 2024 00:34
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@ksivamanksivamanAwaiting requested review from ksivamanksivaman will be requested when the pull request is marked ready for reviewksivaman is a code owner
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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 by cyanguwa · Pull Request #220 · NVIDIA/TransformerEngine · GitHub
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[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 - #220
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cyanguwa wants to merge 11 commits into
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[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16#220
cyanguwa wants to merge 11 commits into
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@cyanguwa
@cyanguwacyanguwa
commented
May 13, 2023

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This PR adds some higher level modules in PyTorch to support the fused attention C API created in #155 and #175. In particular, the FusedAttention module in PyTorch branches out to these four backends:
cyanguwa
added 11 commits
May 7, 2023 20:00
@cyanguwa
add FusedAttention module
4b12509
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add higher level PyTorch modules for cuDNN fused attention imple…
a859095
…mentations
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add PyTorch moduels for fused attention
6d351aa
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add bias/fp8_meta all the way up to TransformerLayer
961a416
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: fix ctx_aux_tensors
93406ed
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: finished Python side
eb72a58
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
add the C parts to be compatible with higher-level changes
cb65523
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
rebase after bf16/fp16 <=512 seqlen merge (PR 175)
4bfe5ae
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: test fused attn vs flash attn; different results
5497f3c
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
Working: bf16/fp16 <=512, fused attn = flash attn with small tolerance
aa2516f
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
remove prints and torch saves
d779873
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
cyanguwa
deleted the

fused_attn/fp8_fp16bf16v1_pytorch

branch
February 22, 2024 00:34
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[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 by cyanguwa · Pull Request #220 · NVIDIA/TransformerEngine · GitHub
Skip to content
[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 - #220
Closed
cyanguwa wants to merge 11 commits into
NVIDIA:mainfrom 
cyanguwa:fused_attn/fp8_fp16bf16v1_pytorch
Closed
[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16#220
cyanguwa wants to merge 11 commits into
NVIDIA:mainfrom 
cyanguwa:fused_attn/fp8_fp16bf16v1_pytorch
Conversation
@cyanguwa
@cyanguwacyanguwa
commented
May 13, 2023

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Collaborator
This PR adds some higher level modules in PyTorch to support the fused attention C API created in #155 and #175. In particular, the FusedAttention module in PyTorch branches out to these four backends:
cyanguwa
added 11 commits
May 7, 2023 20:00
@cyanguwa
add FusedAttention module
4b12509
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add higher level PyTorch modules for cuDNN fused attention imple…
a859095
…mentations
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add PyTorch moduels for fused attention
6d351aa
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add bias/fp8_meta all the way up to TransformerLayer
961a416
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: fix ctx_aux_tensors
93406ed
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: finished Python side
eb72a58
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
add the C parts to be compatible with higher-level changes
cb65523
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
rebase after bf16/fp16 <=512 seqlen merge (PR 175)
4bfe5ae
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: test fused attn vs flash attn; different results
5497f3c
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
Working: bf16/fp16 <=512, fused attn = flash attn with small tolerance
aa2516f
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
remove prints and torch saves
d779873
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
cyanguwa
deleted the

fused_attn/fp8_fp16bf16v1_pytorch

branch
February 22, 2024 00:34
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[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 by cyanguwa · Pull Request #220 · NVIDIA/TransformerEngine · GitHub
Skip to content
[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 - #220
Closed
cyanguwa wants to merge 11 commits into
NVIDIA:mainfrom 
cyanguwa:fused_attn/fp8_fp16bf16v1_pytorch
Closed
[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16#220
cyanguwa wants to merge 11 commits into
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cyanguwa:fused_attn/fp8_fp16bf16v1_pytorch
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@cyanguwa
@cyanguwacyanguwa
commented
May 13, 2023

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This PR adds some higher level modules in PyTorch to support the fused attention C API created in #155 and #175. In particular, the FusedAttention module in PyTorch branches out to these four backends:
cyanguwa
added 11 commits
May 7, 2023 20:00
@cyanguwa
add FusedAttention module
4b12509
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add higher level PyTorch modules for cuDNN fused attention imple…
a859095
…mentations
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add PyTorch moduels for fused attention
6d351aa
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add bias/fp8_meta all the way up to TransformerLayer
961a416
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: fix ctx_aux_tensors
93406ed
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: finished Python side
eb72a58
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
add the C parts to be compatible with higher-level changes
cb65523
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
rebase after bf16/fp16 <=512 seqlen merge (PR 175)
4bfe5ae
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: test fused attn vs flash attn; different results
5497f3c
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
Working: bf16/fp16 <=512, fused attn = flash attn with small tolerance
aa2516f
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
remove prints and torch saves
d779873
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
cyanguwa
deleted the

fused_attn/fp8_fp16bf16v1_pytorch

branch
February 22, 2024 00:34
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@ksivamanksivamanAwaiting requested review from ksivamanksivaman will be requested when the pull request is marked ready for reviewksivaman is a code owner
@ptrendxptrendxAwaiting requested review from ptrendxptrendx will be requested when the pull request is marked ready for reviewptrendx is a code owner

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[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 by cyanguwa · Pull Request #220 · NVIDIA/TransformerEngine · GitHub
Skip to content
[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 - #220
Closed
cyanguwa wants to merge 11 commits into
NVIDIA:mainfrom 
cyanguwa:fused_attn/fp8_fp16bf16v1_pytorch
Closed
[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16#220
cyanguwa wants to merge 11 commits into
NVIDIA:mainfrom 
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@cyanguwa
@cyanguwacyanguwa
commented
May 13, 2023

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Collaborator
This PR adds some higher level modules in PyTorch to support the fused attention C API created in #155 and #175. In particular, the FusedAttention module in PyTorch branches out to these four backends:
cyanguwa
added 11 commits
May 7, 2023 20:00
@cyanguwa
add FusedAttention module
4b12509
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add higher level PyTorch modules for cuDNN fused attention imple…
a859095
…mentations
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add PyTorch moduels for fused attention
6d351aa
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add bias/fp8_meta all the way up to TransformerLayer
961a416
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: fix ctx_aux_tensors
93406ed
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: finished Python side
eb72a58
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
add the C parts to be compatible with higher-level changes
cb65523
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
rebase after bf16/fp16 <=512 seqlen merge (PR 175)
4bfe5ae
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: test fused attn vs flash attn; different results
5497f3c
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
Working: bf16/fp16 <=512, fused attn = flash attn with small tolerance
aa2516f
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
remove prints and torch saves
d779873
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
cyanguwa
deleted the

fused_attn/fp8_fp16bf16v1_pytorch

branch
February 22, 2024 00:34
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@ksivamanksivamanAwaiting requested review from ksivamanksivaman will be requested when the pull request is marked ready for reviewksivaman is a code owner
@ptrendxptrendxAwaiting requested review from ptrendxptrendx will be requested when the pull request is marked ready for reviewptrendx is a code owner

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[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 by cyanguwa · Pull Request #220 · NVIDIA/TransformerEngine · GitHub
Skip to content
[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 - #220
Closed
cyanguwa wants to merge 11 commits into
NVIDIA:mainfrom 
cyanguwa:fused_attn/fp8_fp16bf16v1_pytorch
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[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16#220
cyanguwa wants to merge 11 commits into
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cyanguwa:fused_attn/fp8_fp16bf16v1_pytorch
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May 13, 2023

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This PR adds some higher level modules in PyTorch to support the fused attention C API created in #155 and #175. In particular, the FusedAttention module in PyTorch branches out to these four backends:
cyanguwa
added 11 commits
May 7, 2023 20:00
@cyanguwa
add FusedAttention module
4b12509
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add higher level PyTorch modules for cuDNN fused attention imple…
a859095
…mentations
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add PyTorch moduels for fused attention
6d351aa
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add bias/fp8_meta all the way up to TransformerLayer
961a416
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: fix ctx_aux_tensors
93406ed
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: finished Python side
eb72a58
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
add the C parts to be compatible with higher-level changes
cb65523
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
rebase after bf16/fp16 <=512 seqlen merge (PR 175)
4bfe5ae
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: test fused attn vs flash attn; different results
5497f3c
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
Working: bf16/fp16 <=512, fused attn = flash attn with small tolerance
aa2516f
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
remove prints and torch saves
d779873
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
cyanguwa
deleted the

fused_attn/fp8_fp16bf16v1_pytorch

branch
February 22, 2024 00:34
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@ksivamanksivamanAwaiting requested review from ksivamanksivaman will be requested when the pull request is marked ready for reviewksivaman is a code owner
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[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 by cyanguwa · Pull Request #220 · NVIDIA/TransformerEngine · GitHub
Skip to content
[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 - #220
Closed
cyanguwa wants to merge 11 commits into
NVIDIA:mainfrom 
cyanguwa:fused_attn/fp8_fp16bf16v1_pytorch
Closed
[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16#220
cyanguwa wants to merge 11 commits into
NVIDIA:mainfrom 
cyanguwa:fused_attn/fp8_fp16bf16v1_pytorch
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@cyanguwa
@cyanguwacyanguwa
commented
May 13, 2023

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This PR adds some higher level modules in PyTorch to support the fused attention C API created in #155 and #175. In particular, the FusedAttention module in PyTorch branches out to these four backends:
cyanguwa
added 11 commits
May 7, 2023 20:00
@cyanguwa
add FusedAttention module
4b12509
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add higher level PyTorch modules for cuDNN fused attention imple…
a859095
…mentations
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add PyTorch moduels for fused attention
6d351aa
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add bias/fp8_meta all the way up to TransformerLayer
961a416
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: fix ctx_aux_tensors
93406ed
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: finished Python side
eb72a58
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
add the C parts to be compatible with higher-level changes
cb65523
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
rebase after bf16/fp16 <=512 seqlen merge (PR 175)
4bfe5ae
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: test fused attn vs flash attn; different results
5497f3c
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
Working: bf16/fp16 <=512, fused attn = flash attn with small tolerance
aa2516f
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
remove prints and torch saves
d779873
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
cyanguwa
deleted the

fused_attn/fp8_fp16bf16v1_pytorch

branch
February 22, 2024 00:34
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@ksivamanksivamanAwaiting requested review from ksivamanksivaman will be requested when the pull request is marked ready for reviewksivaman is a code owner
@ptrendxptrendxAwaiting requested review from ptrendxptrendx will be requested when the pull request is marked ready for reviewptrendx is a code owner

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[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 by cyanguwa · Pull Request #220 · NVIDIA/TransformerEngine · GitHub
Skip to content
[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16 - #220
Closed
cyanguwa wants to merge 11 commits into
NVIDIA:mainfrom 
cyanguwa:fused_attn/fp8_fp16bf16v1_pytorch
Closed
[WIP] Add PyTorch modules for fused attention for FP8 and BF16/FP16#220
cyanguwa wants to merge 11 commits into
NVIDIA:mainfrom 
cyanguwa:fused_attn/fp8_fp16bf16v1_pytorch
Conversation
@cyanguwa
@cyanguwacyanguwa
commented
May 13, 2023

Copy link


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Collaborator
This PR adds some higher level modules in PyTorch to support the fused attention C API created in #155 and #175. In particular, the FusedAttention module in PyTorch branches out to these four backends:
cyanguwa
added 11 commits
May 7, 2023 20:00
@cyanguwa
add FusedAttention module
4b12509
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add higher level PyTorch modules for cuDNN fused attention imple…
a859095
…mentations
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add PyTorch moduels for fused attention
6d351aa
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: add bias/fp8_meta all the way up to TransformerLayer
961a416
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: fix ctx_aux_tensors
93406ed
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: finished Python side
eb72a58
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
add the C parts to be compatible with higher-level changes
cb65523
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
rebase after bf16/fp16 <=512 seqlen merge (PR 175)
4bfe5ae
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
WIP: test fused attn vs flash attn; different results
5497f3c
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
Working: bf16/fp16 <=512, fused attn = flash attn with small tolerance
aa2516f
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
remove prints and torch saves
d779873
Signed-off-by: Charlene Yang <8636796+cyanguwa@users.noreply.github.com>
@cyanguwa
cyanguwa
deleted the

fused_attn/fp8_fp16bf16v1_pytorch

branch
February 22, 2024 00:34
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@ksivamanksivamanAwaiting requested review from ksivamanksivaman will be requested when the pull request is marked ready for reviewksivaman is a code owner
@ptrendxptrendxAwaiting requested review from ptrendxptrendx will be requested when the pull request is marked ready for reviewptrendx is a code owner

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@cyanguwa