Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix kMaxInputCount check in GroupedMatmulFunctor #10322

Merged
merged 3 commits into from
Aug 26, 2023

Conversation

jackalcooper
Copy link
Collaborator

No description provided.

@github-actions
Copy link
Contributor

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/10322/

@github-actions
Copy link
Contributor

Speed stats:

@github-actions
Copy link
Contributor

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/10322/

@github-actions
Copy link
Contributor

Speed stats:
GPU Name: NVIDIA GeForce RTX 3080 Ti 

❌ OneFlow resnet50 time: 43.7ms (= 4369.5ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 61.8ms (= 6181.2ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.41 (= 61.8ms / 43.7ms)

OneFlow resnet50 time: 26.2ms (= 2615.8ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 37.8ms (= 3783.2ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.45 (= 37.8ms / 26.2ms)

OneFlow resnet50 time: 19.5ms (= 3895.1ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 34.7ms (= 6934.5ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.78 (= 34.7ms / 19.5ms)

OneFlow resnet50 time: 18.9ms (= 3774.2ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 31.9ms (= 6385.9ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.69 (= 31.9ms / 18.9ms)

OneFlow resnet50 time: 18.6ms (= 3723.5ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 28.2ms (= 5641.8ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.52 (= 28.2ms / 18.6ms)

OneFlow swin dataloader time: 0.201s (= 40.114s / 200, num_workers=1)
PyTorch swin dataloader time: 0.129s (= 25.730s / 200, num_workers=1)
Relative speed: 0.641 (= 0.129s / 0.201s)

OneFlow swin dataloader time: 0.054s (= 10.719s / 200, num_workers=4)
PyTorch swin dataloader time: 0.032s (= 6.460s / 200, num_workers=4)
Relative speed: 0.603 (= 0.032s / 0.054s)

OneFlow swin dataloader time: 0.030s (= 6.073s / 200, num_workers=8)
PyTorch swin dataloader time: 0.016s (= 3.291s / 200, num_workers=8)
Relative speed: 0.542 (= 0.016s / 0.030s)

❌ OneFlow resnet50 time: 47.7ms (= 4768.2ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 65.3ms (= 6525.7ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.37 (= 65.3ms / 47.7ms)

OneFlow resnet50 time: 31.9ms (= 3185.9ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 45.0ms (= 4497.5ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.41 (= 45.0ms / 31.9ms)

OneFlow resnet50 time: 24.1ms (= 4816.0ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 40.7ms (= 8140.4ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.69 (= 40.7ms / 24.1ms)

OneFlow resnet50 time: 20.7ms (= 4138.1ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 36.3ms (= 7259.8ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.75 (= 36.3ms / 20.7ms)

OneFlow resnet50 time: 21.6ms (= 4320.8ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 34.2ms (= 6836.6ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.58 (= 34.2ms / 21.6ms)

@github-actions
Copy link
Contributor

Static analysis with clang failed. PR label automerge has been removed

@jackalcooper jackalcooper enabled auto-merge (squash) August 25, 2023 12:03
@github-actions
Copy link
Contributor

Speed stats:
GPU Name: NVIDIA GeForce RTX 3080 Ti 

❌ OneFlow resnet50 time: 43.1ms (= 4308.3ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 57.1ms (= 5707.2ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.32 (= 57.1ms / 43.1ms)

OneFlow resnet50 time: 25.9ms (= 2585.2ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 37.8ms (= 3779.5ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.46 (= 37.8ms / 25.9ms)

OneFlow resnet50 time: 19.7ms (= 3949.9ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 35.3ms (= 7066.4ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.79 (= 35.3ms / 19.7ms)

OneFlow resnet50 time: 19.5ms (= 3898.3ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 30.8ms (= 6151.5ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.58 (= 30.8ms / 19.5ms)

OneFlow resnet50 time: 17.5ms (= 3494.8ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 29.4ms (= 5876.3ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.68 (= 29.4ms / 17.5ms)

OneFlow swin dataloader time: 0.202s (= 40.371s / 200, num_workers=1)
PyTorch swin dataloader time: 0.128s (= 25.660s / 200, num_workers=1)
Relative speed: 0.636 (= 0.128s / 0.202s)

OneFlow swin dataloader time: 0.053s (= 10.700s / 200, num_workers=4)
PyTorch swin dataloader time: 0.033s (= 6.550s / 200, num_workers=4)
Relative speed: 0.612 (= 0.033s / 0.053s)

OneFlow swin dataloader time: 0.031s (= 6.209s / 200, num_workers=8)
PyTorch swin dataloader time: 0.016s (= 3.296s / 200, num_workers=8)
Relative speed: 0.531 (= 0.016s / 0.031s)

❌ OneFlow resnet50 time: 47.6ms (= 4764.3ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 65.4ms (= 6544.6ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.37 (= 65.4ms / 47.6ms)

OneFlow resnet50 time: 30.9ms (= 3090.3ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 45.0ms (= 4496.2ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.45 (= 45.0ms / 30.9ms)

OneFlow resnet50 time: 24.4ms (= 4889.2ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 41.2ms (= 8236.8ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.68 (= 41.2ms / 24.4ms)

OneFlow resnet50 time: 22.8ms (= 4569.3ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 38.1ms (= 7629.5ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.67 (= 38.1ms / 22.8ms)

OneFlow resnet50 time: 18.8ms (= 3755.9ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 33.8ms (= 6763.9ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.80 (= 33.8ms / 18.8ms)

@github-actions
Copy link
Contributor

View latest API docs preview at: https://staging.oneflow.info/docs/Oneflow-Inc/oneflow/pr/10322/

@jackalcooper jackalcooper requested review from oneflow-ci-bot and removed request for oneflow-ci-bot August 26, 2023 03:19
@jackalcooper jackalcooper merged commit 57c4a49 into master Aug 26, 2023
38 of 39 checks passed
@jackalcooper jackalcooper deleted the add-kMaxInputCount-in-GroupedMatmulFunctor branch August 26, 2023 03:56
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

4 participants