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.

Sign up for GitHub

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

Jump to bottom

Auto upload docs built in CI #7894

Merged
merged 25 commits into from
Mar 29, 2022
Merged

Auto upload docs built in CI #7894

merged 25 commits into from
Mar 29, 2022

Conversation

jackalcooper
Copy link
Collaborator

No description provided.

@github-actions
Copy link
Contributor

CI failed when running job: Build cpu. PR label automerge has been removed

@jackalcooper jackalcooper enabled auto-merge (squash) March 25, 2022 09:17
@jackalcooper jackalcooper requested review from oneflow-ci-bot and removed request for oneflow-ci-bot March 25, 2022 09:18
@github-actions
Copy link
Contributor

CI failed when running job: Build cu102. PR label automerge has been removed

@github-actions
Copy link
Contributor

Speed stats:

@github-actions
Copy link
Contributor

CI failed when running job: cuda-speed-test. PR label automerge has been removed

@github-actions
Copy link
Contributor

CI failed when running job: cpu-misc. PR label automerge has been removed

@github-actions
Copy link
Contributor

Speed stats: 
GPU Name: GeForce GTX 1080 

✔️ OneFlow resnet50 time: 128.3ms (= 12828.4ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 136.8ms (= 13677.5ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.07 (= 136.8ms / 128.3ms)

❌ OneFlow resnet50 time: 80.2ms (= 8023.6ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 84.2ms (= 8415.1ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.05 (= 84.2ms / 80.2ms)

OneFlow resnet50 time: 52.6ms (= 10518.1ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 54.9ms (= 10971.5ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.04 (= 54.9ms / 52.6ms)

OneFlow resnet50 time: 43.3ms (= 8656.6ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 43.9ms (= 8786.6ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.02 (= 43.9ms / 43.3ms)

OneFlow resnet50 time: 39.1ms (= 7825.6ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 42.1ms (= 8428.0ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.08 (= 42.1ms / 39.1ms)

OneFlow swin dataloader time: 0.256s (= 51.231s / 200, num_workers=1)
PyTorch swin dataloader time: 0.251s (= 50.256s / 200, num_workers=1)
✔️ Relative speed: 0.981 (= 0.251s / 0.256s)

OneFlow swin dataloader time: 0.067s (= 13.372s / 200, num_workers=4)
PyTorch swin dataloader time: 0.070s (= 13.956s / 200, num_workers=4)
✔️ Relative speed: 1.044 (= 0.070s / 0.067s)

OneFlow swin dataloader time: 0.036s (= 7.230s / 200, num_workers=8)
PyTorch swin dataloader time: 0.039s (= 7.722s / 200, num_workers=8)
✔️ Relative speed: 1.068 (= 0.039s / 0.036s)

✔️ OneFlow resnet50 time: 135.6ms (= 13560.7ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 157.5ms (= 15745.4ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.16 (= 157.5ms / 135.6ms)

OneFlow resnet50 time: 87.2ms (= 8718.7ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 101.3ms (= 10130.6ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.16 (= 101.3ms / 87.2ms)

OneFlow resnet50 time: 60.5ms (= 12106.6ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 77.3ms (= 15467.1ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.28 (= 77.3ms / 60.5ms)

OneFlow resnet50 time: 54.4ms (= 10876.4ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 66.8ms (= 13359.8ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.23 (= 66.8ms / 54.4ms)

OneFlow resnet50 time: 48.4ms (= 9684.3ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 62.6ms (= 12511.6ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.29 (= 62.6ms / 48.4ms)

@jackalcooper jackalcooper requested review from oneflow-ci-bot and removed request for oneflow-ci-bot March 28, 2022 01:13
@oneflow-ci-bot oneflow-ci-bot requested review from oneflow-ci-bot and removed request for oneflow-ci-bot March 28, 2022 04:04
@jackalcooper jackalcooper requested review from oneflow-ci-bot and removed request for oneflow-ci-bot March 28, 2022 08:11
@github-actions
Copy link
Contributor

Speed stats: 
GPU Name: GeForce GTX 1080 

✔️ OneFlow resnet50 time: 128.4ms (= 12843.6ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 140.0ms (= 14002.3ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.09 (= 140.0ms / 128.4ms)

✔️ OneFlow resnet50 time: 76.8ms (= 7677.6ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 83.5ms (= 8351.5ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.09 (= 83.5ms / 76.8ms)

OneFlow resnet50 time: 53.0ms (= 10600.0ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 54.3ms (= 10862.4ms / 200, input_shape=[4, 3, 224, 224])
❌ Relative speed: 1.02 (= 54.3ms / 53.0ms)

OneFlow resnet50 time: 40.5ms (= 8094.7ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 47.3ms (= 9465.0ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.17 (= 47.3ms / 40.5ms)

OneFlow resnet50 time: 38.0ms (= 7591.3ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 41.9ms (= 8382.6ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 1.10 (= 41.9ms / 38.0ms)

OneFlow swin dataloader time: 0.275s (= 54.967s / 200, num_workers=1)
PyTorch swin dataloader time: 0.253s (= 50.524s / 200, num_workers=1)
❌ Relative speed: 0.919 (= 0.253s / 0.275s)

OneFlow swin dataloader time: 0.068s (= 13.627s / 200, num_workers=4)
PyTorch swin dataloader time: 0.071s (= 14.269s / 200, num_workers=4)
✔️ Relative speed: 1.047 (= 0.071s / 0.068s)

OneFlow swin dataloader time: 0.038s (= 7.515s / 200, num_workers=8)
PyTorch swin dataloader time: 0.036s (= 7.250s / 200, num_workers=8)
✔️ Relative speed: 0.965 (= 0.036s / 0.038s)

✔️ OneFlow resnet50 time: 135.4ms (= 13539.1ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 156.7ms (= 15668.1ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.16 (= 156.7ms / 135.4ms)

OneFlow resnet50 time: 88.2ms (= 8822.5ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 95.5ms (= 9551.2ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
❌ Relative speed: 1.08 (= 95.5ms / 88.2ms)

OneFlow resnet50 time: 61.5ms (= 12298.3ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 75.9ms (= 15174.9ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.23 (= 75.9ms / 61.5ms)

OneFlow resnet50 time: 52.3ms (= 10456.8ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 66.9ms (= 13373.1ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.28 (= 66.9ms / 52.3ms)

OneFlow resnet50 time: 48.6ms (= 9714.4ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 64.8ms (= 12956.4ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.33 (= 64.8ms / 48.6ms)

@github-actions
Copy link
Contributor

CI failed when running job: cuda-speed-test. PR label automerge has been removed

@github-actions
Copy link
Contributor

Speed stats: 
GPU Name: GeForce GTX 1080 

✔️ OneFlow resnet50 time: 128.3ms (= 12825.2ms / 100, input_shape=[16, 3, 224, 224])
PyTorch resnet50 time: 138.7ms (= 13865.7ms / 100, input_shape=[16, 3, 224, 224])
✔️ Relative speed: 1.08 (= 138.7ms / 128.3ms)

✔️ OneFlow resnet50 time: 77.1ms (= 7711.9ms / 100, input_shape=[8, 3, 224, 224])
PyTorch resnet50 time: 82.3ms (= 8232.8ms / 100, input_shape=[8, 3, 224, 224])
✔️ Relative speed: 1.07 (= 82.3ms / 77.1ms)

OneFlow resnet50 time: 51.6ms (= 10319.4ms / 200, input_shape=[4, 3, 224, 224])
PyTorch resnet50 time: 57.5ms (= 11492.7ms / 200, input_shape=[4, 3, 224, 224])
✔️ Relative speed: 1.11 (= 57.5ms / 51.6ms)

OneFlow resnet50 time: 41.3ms (= 8253.0ms / 200, input_shape=[2, 3, 224, 224])
PyTorch resnet50 time: 50.2ms (= 10044.3ms / 200, input_shape=[2, 3, 224, 224])
✔️ Relative speed: 1.22 (= 50.2ms / 41.3ms)

OneFlow resnet50 time: 38.9ms (= 7778.2ms / 200, input_shape=[1, 3, 224, 224])
PyTorch resnet50 time: 38.6ms (= 7727.1ms / 200, input_shape=[1, 3, 224, 224])
✔️ Relative speed: 0.99 (= 38.6ms / 38.9ms)

OneFlow swin dataloader time: 0.248s (= 49.629s / 200, num_workers=1)
PyTorch swin dataloader time: 0.263s (= 52.650s / 200, num_workers=1)
✔️ Relative speed: 1.061 (= 0.263s / 0.248s)

OneFlow swin dataloader time: 0.067s (= 13.492s / 200, num_workers=4)
PyTorch swin dataloader time: 0.067s (= 13.301s / 200, num_workers=4)
✔️ Relative speed: 0.986 (= 0.067s / 0.067s)

OneFlow swin dataloader time: 0.036s (= 7.173s / 200, num_workers=8)
PyTorch swin dataloader time: 0.037s (= 7.451s / 200, num_workers=8)
✔️ Relative speed: 1.039 (= 0.037s / 0.036s)

✔️ OneFlow resnet50 time: 135.3ms (= 13534.2ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 156.8ms (= 15683.7ms / 100, input_shape=[16, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.16 (= 156.8ms / 135.3ms)

OneFlow resnet50 time: 88.9ms (= 8886.2ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 105.7ms (= 10565.3ms / 100, input_shape=[8, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.19 (= 105.7ms / 88.9ms)

OneFlow resnet50 time: 60.9ms (= 12171.4ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 75.5ms (= 15107.4ms / 200, input_shape=[4, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.24 (= 75.5ms / 60.9ms)

OneFlow resnet50 time: 53.0ms (= 10606.8ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 68.0ms (= 13601.9ms / 200, input_shape=[2, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.28 (= 68.0ms / 53.0ms)

OneFlow resnet50 time: 48.1ms (= 9616.4ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
PyTorch resnet50 time: 62.1ms (= 12414.8ms / 200, input_shape=[1, 3, 224, 224], ddp, world size=2)
✔️ Relative speed: 1.29 (= 62.1ms / 48.1ms)

@jackalcooper jackalcooper merged commit e558af6 into master Mar 29, 2022
@jackalcooper jackalcooper deleted the auto-upload-docs-built-in-ci branch March 29, 2022 01:42
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Reviewers

@daquexian daquexian daquexian approved these changes

@simonJJJ simonJJJ simonJJJ approved these changes

@oneflow-ci-bot oneflow-ci-bot Awaiting requested review from oneflow-ci-bot

Assignees
No one assigned
Labels
automerge ci enhancement need-all-tests-even-fail
Projects
None yet
Milestone
No milestone
Development

Successfully merging this pull request may close these issues.
3 participants
@jackalcooper @daquexian @simonJJJ