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Fix bfloat16/float16/float32 options#1369

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jerryzh168 merged 2 commits into
pytorch:mainfrom
jerryzh168:autoquant-all
Dec 3, 2024
Merged

Fix bfloat16/float16/float32 options#1369
jerryzh168 merged 2 commits into
pytorch:mainfrom
jerryzh168:autoquant-all

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Summary:
There was some problems with previous implementation of bfloat16/float16/float32 since it does not convert activation to the correct dtype after quantization, this PR fixes it

Test Plan:
llama:

python generate.py --checkpoint_path $CHECKPOINT_PATH/$MODEL_REPO/model.pth --compile --compile_prefill --quantization autoquant-fp

same2:

server:
python server.py ~/checkpoints/sam2 large --port 8000 --host localhost --fast --use_autoquant

client:
time xargs -I {} curl -s -w "\n" -X POST http://localhost:8000/upload_rle -F 'image=@{}' < sav_val_image_paths_shuf_1000 > results/sav_val_masks_baseline_shuf_1000

Reviewers:

Subscribers:

Tasks:

Tags:

Summary:
There was some problems with previous implementation of bfloat16/float16/float32 since it does not
convert activation to the correct dtype after quantization, this PR fixes it

Test Plan:
llama:
```
python generate.py --checkpoint_path $CHECKPOINT_PATH/$MODEL_REPO/model.pth --compile --compile_prefill --quantization autoquant-fp
```

same2:
```
server:
python server.py ~/checkpoints/sam2 large --port 8000 --host localhost --fast --use_autoquant

client:
time xargs -I {} curl -s -w "\n" -X POST http://localhost:8000/upload_rle -F 'image=@{}' < sav_val_image_paths_shuf_1000 > results/sav_val_masks_baseline_shuf_1000
```

Reviewers:

Subscribers:

Tasks:

Tags:
@pytorch-bot

pytorch-bot Bot commented Dec 2, 2024

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/1369

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@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Dec 2, 2024
@jerryzh168 jerryzh168 added topic: new feature Use this tag if this PR adds a new feature topic: bug fix Use this tag for PRs that fix bugs and removed topic: new feature Use this tag if this PR adds a new feature labels Dec 2, 2024
@jerryzh168 jerryzh168 merged commit 8a51e1a into pytorch:main Dec 3, 2024
yanbing-j pushed a commit to yanbing-j/ao that referenced this pull request Dec 9, 2024
amdfaa pushed a commit that referenced this pull request Jan 10, 2025
* Fix bfloat16/float16/float32 options

Summary:
There was some problems with previous implementation of bfloat16/float16/float32 since it does not
convert activation to the correct dtype after quantization, this PR fixes it

Test Plan:
llama:
```
python generate.py --checkpoint_path $CHECKPOINT_PATH/$MODEL_REPO/model.pth --compile --compile_prefill --quantization autoquant-fp
```

same2:
```
server:
python server.py ~/checkpoints/sam2 large --port 8000 --host localhost --fast --use_autoquant

client:
time xargs -I {} curl -s -w "\n" -X POST http://localhost:8000/upload_rle -F 'image=@{}' < sav_val_image_paths_shuf_1000 > results/sav_val_masks_baseline_shuf_1000
```

Reviewers:

Subscribers:

Tasks:

Tags:

* ruff
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3 participants