mozilla/onnxruntime
Oct 2024 – Nov 2024
2 Months active
Languages Used
C++
Technical Skills
C++DMLDebuggingONNXTestingdeep learning
dtang317
PROFILE
Dtang317
Worked on the mozilla/onnxruntime repository to enhance ONNX Runtime’s compatibility and reliability by implementing support for Opset 21 in the DML Execution Provider and registering new operators such as Identity, QLinearMatmul, and GroupNormalization. Addressed a critical boolean casting bug by updating casting logic and expanding unit tests to cover edge cases, improving runtime correctness and test coverage. Fixed GRU activation test failures by resolving case sensitivity issues, which stabilized continuous integration workflows. Leveraged C++, deep learning, and operator registration expertise to broaden model support, enable hardware-accelerated execution, and reduce deployment risk for ONNX models running on DirectML.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
2
Lines of code
332
Activity Months2
Your Network
4725 peopleSame Organization
@microsoft.com4720
GitOpsMember
Ananta GuptaMember
Abi GicicMember
Abigail HartmanMember
Abram SandersonMember
Adam EttenbergerMember
Alexandre GattikerMember
Ami HollanderMember
AndersMember
Work History
November 2024
3 Commits • 1 Features
Nov 1, 2024November 2024: Expanded ONNX Runtime opset 21 compatibility with operator registrations for Identity, QLinearMatmul, and GroupNormalization, enabling execution of updated models. Fixed GRU activation tests by addressing case sensitivity, improving test reliability and CI stability. These contributions broaden model compatibility, reduce deployment risk, and demonstrate strong operator integration and testing skills.
3 Commits • 1 Features
Nov 1, 2024November 2024: Expanded ONNX Runtime opset 21 compatibility with operator registrations for Identity, QLinearMatmul, and GroupNormalization, enabling execution of updated models. Fixed GRU activation tests by addressing case sensitivity, improving test reliability and CI stability. These contributions broaden model compatibility, reduce deployment risk, and demonstrate strong operator integration and testing skills.
November 2024
October 2024
2 Commits • 1 Features
Oct 1, 2024October 2024 monthly overview for mozilla/onnxruntime: Implemented DML Execution Provider Opset 21 support and fixed a critical boolean casting bug, delivering improved model compatibility and runtime correctness. Key work included registering new Opset 21 operators in the DML EP (commit 5b4e2a636b77978c4742e73057182540254f25e3) and correcting boolean cast behavior by clipping after cast (commit 55e0128b1344494317696902c58b31accd442625). Tests were updated to cover the casting edge cases. These changes enhance hardware-accelerated performance potential and reliability for ONNX models running on DirectML, contributing to business value through broader model support and fewer runtime issues.
October 2024
2 Commits • 1 Features
Oct 1, 2024October 2024 monthly overview for mozilla/onnxruntime: Implemented DML Execution Provider Opset 21 support and fixed a critical boolean casting bug, delivering improved model compatibility and runtime correctness. Key work included registering new Opset 21 operators in the DML EP (commit 5b4e2a636b77978c4742e73057182540254f25e3) and correcting boolean cast behavior by clipping after cast (commit 55e0128b1344494317696902c58b31accd442625). Tests were updated to cover the casting edge cases. These changes enhance hardware-accelerated performance potential and reliability for ONNX models running on DirectML, contributing to business value through broader model support and fewer runtime issues.
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability92.0%
Architecture92.0%
Performance92.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ developmentDMLDebuggingONNXTestingdeep learningmachine learningoperator registrationtensor operationsunit testing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline