pytorch/pytorch
Feb 2026 – Feb 2026
1 Month active
Languages Used
C++Python
Technical Skills
C++ developmentPython developmentdevice managementprofiler developmentunit testing
Miroslaw Oksiucik
PROFILE
Miroslaw Oksiucik
During February 2026, Miroslaw Oksiucik enhanced profiling observability for XPU devices in the pytorch/pytorch repository. He developed features in C++ and Python to enable the profiler to accurately report XPU device types and capture XPU driver-level activities, aligning XPU support with existing CUDA profiling. His work included updating the Kineto submodule and extending the unit testing framework to validate XPU profiler behavior, ensuring robust test coverage. By focusing on device management and profiler development, Miroslaw’s contributions improved performance analysis accuracy for XPU workloads and streamlined debugging, deepening the profiling ecosystem for XPU-enabled deployments within PyTorch.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
178
Activity Months1
Your Network
2800 peopleSame Organization
@intel.com2035
Work History
February 2026
2 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for pytorch/pytorch focusing on profiling observability and XPU support. Key profiler enhancements improved XPU observability and parity with CUDA by delivering: (1) XPU device type reporting in profiler, enabling correct DeviceType.XPU classification for XPU events; (2) Profiling for XPU_DRIVER activities, aligning with CUDA_DRIVER and expanding visibility into driver-level work; (3) tests validating XPU profiler behavior and extending the testing framework; (4) Kineto submodule updates to support these profiling changes. Overall, these changes enhance performance analysis accuracy for XPU workloads, reduce debugging time for XPU-related issues, and strengthen the ecosystem for XPU-enabled deployments.
2 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for pytorch/pytorch focusing on profiling observability and XPU support. Key profiler enhancements improved XPU observability and parity with CUDA by delivering: (1) XPU device type reporting in profiler, enabling correct DeviceType.XPU classification for XPU events; (2) Profiling for XPU_DRIVER activities, aligning with CUDA_DRIVER and expanding visibility into driver-level work; (3) tests validating XPU profiler behavior and extending the testing framework; (4) Kineto submodule updates to support these profiling changes. Overall, these changes enhance performance analysis accuracy for XPU workloads, reduce debugging time for XPU-related issues, and strengthen the ecosystem for XPU-enabled deployments.
February 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++ developmentPython developmentdevice managementprofiler developmentunit testing
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