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gaoqiong
flash-attention
Commits
f2d8d410
"src/vscode:/vscode.git/clone" did not exist on "3f890022108d3ad5de829dcc721f37761783f298"
Commit
f2d8d410
authored
Jun 04, 2022
by
Tri Dao
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Edit README: support Turing (SM75)
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f2d8d410
...
@@ -9,7 +9,7 @@ Paper: https://arxiv.org/abs/2205.14135
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@@ -9,7 +9,7 @@ Paper: https://arxiv.org/abs/2205.14135
## Alpha release (0.1).
## Alpha release (0.1).
To compile (requiring CUDA 11, NVCC, and an Ampere GPU):
To compile (requiring CUDA 11, NVCC, and an
Turing or
Ampere GPU):
```
```
python setup.py install
python setup.py install
```
```
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@@ -22,7 +22,7 @@ PYTHONPATH=$PWD python benchmarks/benchmark_flash_attention.py
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@@ -22,7 +22,7 @@ PYTHONPATH=$PWD python benchmarks/benchmark_flash_attention.py
```
```
FlashAttention currently supports:
FlashAttention currently supports:
1.
Ampere GPUs (e.g., A100, RTX 3090).
1.
Turing or
Ampere GPUs (e.g., A100, RTX 3090
, T4, RTX 2080
).
2.
fp16.
2.
fp16.
3.
Head dimensions 16, 32, 64.
3.
Head dimensions 16, 32, 64.
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@@ -30,7 +30,7 @@ Our tentative roadmap:
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@@ -30,7 +30,7 @@ Our tentative roadmap:
1.
[Jun 2022] Make package pip-installable.
1.
[Jun 2022] Make package pip-installable.
2.
~~[Jun 2022] Support SM86 GPUs (e.g., RTX 3080, 3090)~~[Done].
2.
~~[Jun 2022] Support SM86 GPUs (e.g., RTX 3080, 3090)~~[Done].
3.
[Jun 2022] Refactor to use Cutlass.
3.
[Jun 2022] Refactor to use Cutlass.
4.
[Jun 2022] Support SM75 GPUs (e.g. T4).
4.
~~
[Jun 2022] Support SM75 GPUs (e.g. T4)
~~[Done]
.
5.
[Jun 2022] Support bf16.
5.
[Jun 2022] Support bf16.
6.
[Jul 2022] Support head dimension 128.
6.
[Jul 2022] Support head dimension 128.
7.
[Jul 2022] Support SM70 GPUs (V100).
7.
[Jul 2022] Support SM70 GPUs (V100).
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