Skip to content

Update CODEOWNERS#718

Merged
abuccts merged 1 commit into
mainfrom
xiongyf/update-codeowners
Jun 5, 2025
Merged

Update CODEOWNERS#718
abuccts merged 1 commit into
mainfrom
xiongyf/update-codeowners

Conversation

@abuccts
Copy link
Copy Markdown
Member

@abuccts abuccts commented Jun 5, 2025

Update CODEOWNERS.

Update CODEOWNERS.
@abuccts abuccts requested a review from a team as a code owner June 5, 2025 04:57
@abuccts abuccts enabled auto-merge (squash) June 5, 2025 04:58
@codecov
Copy link
Copy Markdown

codecov Bot commented Jun 5, 2025

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 86.06%. Comparing base (3e09048) to head (b64c884).
Report is 1 commits behind head on main.

Additional details and impacted files
@@            Coverage Diff             @@
##             main     #718      +/-   ##
==========================================
+ Coverage   85.67%   86.06%   +0.38%     
==========================================
  Files          99       99              
  Lines        7211     7211              
==========================================
+ Hits         6178     6206      +28     
+ Misses       1033     1005      -28     
Flag Coverage Δ
cpu-python3.10-unit-test 71.76% <ø> (+0.39%) ⬆️
cpu-python3.12-unit-test 71.76% <ø> (+0.39%) ⬆️
cpu-python3.7-unit-test 71.34% <ø> (ø)
cuda-unit-test 83.50% <ø> (ø)

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
  • 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

@abuccts abuccts merged commit 431bf19 into main Jun 5, 2025
22 checks passed
@abuccts abuccts deleted the xiongyf/update-codeowners branch June 5, 2025 22:20
@guoshzhao guoshzhao mentioned this pull request Jul 2, 2025
40 tasks
polarG added a commit that referenced this pull request Aug 11, 2025
Description

Add release note for v0.12.0

# Main Features
## SuperBench Improvement
1. - [x] Update Image Build Pipeline (#659)
2. - [x] Add support for arm64 build (#660)
3. - [x] Upgrade dependency versions in pipeline (#671)
4. - [x] Fix installation and lint issues (#684)
5. - [x] Update Flake8 repo (#683)
6. - [x] Init latest python support. (#687)
7. - [x] Add image build on arm64 arch (#690)
8. - [x] Enhancement of ignoring errors for import pkg_resources (#692)
9. - [x] Update label in the ROCm image build (#693)
10. - [x] Support cuda12.8 for Blackwell arch (#682)
11. - [x] Merge multi-arch image (#696)
12. - [x] Update OS of runner to the latest. (#702)
13. - [x] cuda arch flag for cublaslt (#701)


## Micro-benchmark Improvement
1. - [x] Bug Fix - Fix numa error on grace cpu in gpu-copy (#658)
2. - [x] Dependency - Bump onnxruntime-gpu version from 1.10.0 to 1.12.0
(#663)
3. - [x] Benchmarks: micro benchmarks - add general CPU bandwidth and
latency benchmark (#662)
4. - [x] Benchmarks: micro benchmarks - add nvbandwidth build and
benchmark (#665 and #669)
5. - [x] Fix stderr message in gpu-copy benchmark (#673)
6. - [x] Add arch support for 10.0 in gemm-flops (#680)
7. - [x] Fix tensorrt-inference parsing (#674)
8. - [x] nvbandwidth benchmark need to handle N/A value (#675)
9. - [x] Avoid Unintended nvbandwidth Function Calls in All Benchmarks
(#685)
10. - [x] Add GPU Stream Micro Benchmark (#697)
11. - [x] Cuda arch flag for cublaslt (#701)
12. - [x] Support autotuning in cublaslt gemm (#706)
14. - [x] Add FP4 GEMM FLOPS support for cublaslt_gemm benchmark (#711)
15. - [x] CPU Stream Benchmark Revise (#712)
16. - [x] Add cuda12.9 docker image (#716)
17. - [x] Add Grace CPU support for CPU Stream (#719)


## Model Benchmark Improvement
1. - [x] Add LLaMA-2 Models (#668)
2. - [x] Fix typos in documentation and code files (#686)
3. - [x] Add Mixture of Experts Model (#679) 
4. - [ ] Add DeepSeek Training Benchmark
5. - [x] Add DeepSeek Inference Benchmark (AMD GPU) (#713)


## Documentation
1. - [x] Update CODEOWNERS (#670)
2. - [x] Update CODEOWNERS (#718)

## Result Analysis
1. - [x] Enhance logging information for diagnosis rule op baseline
errors. (#689)
polarG added a commit that referenced this pull request Aug 12, 2025
Description

Add release note for v0.12.0

# Main Features
## SuperBench Improvement
1. - [x] Update Image Build Pipeline (#659)
2. - [x] Add support for arm64 build (#660)
3. - [x] Upgrade dependency versions in pipeline (#671)
4. - [x] Fix installation and lint issues (#684)
5. - [x] Update Flake8 repo (#683)
6. - [x] Init latest python support. (#687)
7. - [x] Add image build on arm64 arch (#690)
8. - [x] Enhancement of ignoring errors for import pkg_resources (#692)
9. - [x] Update label in the ROCm image build (#693)
10. - [x] Support cuda12.8 for Blackwell arch (#682)
11. - [x] Merge multi-arch image (#696)
12. - [x] Update OS of runner to the latest. (#702)
13. - [x] cuda arch flag for cublaslt (#701)


## Micro-benchmark Improvement
1. - [x] Bug Fix - Fix numa error on grace cpu in gpu-copy (#658)
2. - [x] Dependency - Bump onnxruntime-gpu version from 1.10.0 to 1.12.0
(#663)
3. - [x] Benchmarks: micro benchmarks - add general CPU bandwidth and
latency benchmark (#662)
4. - [x] Benchmarks: micro benchmarks - add nvbandwidth build and
benchmark (#665 and #669)
5. - [x] Fix stderr message in gpu-copy benchmark (#673)
6. - [x] Add arch support for 10.0 in gemm-flops (#680)
7. - [x] Fix tensorrt-inference parsing (#674)
8. - [x] nvbandwidth benchmark need to handle N/A value (#675)
9. - [x] Avoid Unintended nvbandwidth Function Calls in All Benchmarks
(#685)
10. - [x] Add GPU Stream Micro Benchmark (#697)
11. - [x] Cuda arch flag for cublaslt (#701)
12. - [x] Support autotuning in cublaslt gemm (#706)
14. - [x] Add FP4 GEMM FLOPS support for cublaslt_gemm benchmark (#711)
15. - [x] CPU Stream Benchmark Revise (#712)
16. - [x] Add cuda12.9 docker image (#716)
17. - [x] Add Grace CPU support for CPU Stream (#719)


## Model Benchmark Improvement
1. - [x] Add LLaMA-2 Models (#668)
2. - [x] Fix typos in documentation and code files (#686)
3. - [x] Add Mixture of Experts Model (#679) 
4. - [ ] Add DeepSeek Training Benchmark
5. - [x] Add DeepSeek Inference Benchmark (AMD GPU) (#713)


## Documentation
1. - [x] Update CODEOWNERS (#670)
2. - [x] Update CODEOWNERS (#718)

## Result Analysis
1. - [x] Enhance logging information for diagnosis rule op baseline
errors. (#689)
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

4 participants