NVIDIA/TensorRT-Incubator
Oct 2024 – Mar 2026
13 Months active
Languages Used
MarkdownShellTextBashCMakePythonYAMLC++
Technical Skills
CI/CDDependency ManagementDocumentationBuild SystemsGitHub ActionsTesting
Sagar Shelke
PROFILE
Sagar Shelke
Over thirteen months, contributed to NVIDIA/TensorRT-Incubator by building and refining compiler infrastructure, runtime features, and CI/CD workflows for MLIR-TensorRT integration. Delivered enhancements such as constant-foldable subgraph analysis, quantization support, and NVTX range annotations for JAX profiling, using C++, MLIR, and Python. Improved build automation and release reliability through CMake and GitHub Actions, while modernizing APIs and expanding hardware compatibility with CUDA and TensorRT. Addressed error handling and stability by implementing device checks and fixing correctness issues. The work emphasized maintainability, test coverage, and open-source alignment, resulting in a robust, extensible foundation for machine learning model deployment.
Overall Statistics
Feature vs Bugs
91%Features
Repository Contributions
28Total
Bugs
2
Commits
28
Features
20
Lines of code
22,787
Activity Months13
Your Network
1761 peopleSame Organization
@nvidia.com1746
Shared Repositories
15
Salman Muin Kayser ChishtiMember
Bo WangMember
Christopher BateMember
Jhalak PatelMember
Jhalak PatelMember
lanluo-nvidiaMember
Matthew Francis-LandauMember
Matthew Francis-LandauMember
Copybara BotMember
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 performance summary for NVIDIA/TensorRT-Incubator: The primary deliverable was NVTX Range Annotations for JAX Subgraph Profiling, enabling precise subgraph visibility in Nsight Systems within the MLIR TensorRT workflow. Implemented mtrt_nvtx_push and mtrt_nvtx_pop with nested/overlapping range support; these primitives act as compiler barriers to preserve subgraph boundaries and lower to stablehlo custom_calls. Built end-to-end integration across the pipeline (JAX primitives → StableHLO → Plan → Executor → Lua runtime) and added tests. This work enhances observability, helps identify optimization opportunities in JAX-based models accelerated by TensorRT, and lays the groundwork for future NVTX-based profiling features. No major bug fixes were reported this month; the focus remained on feature delivery and expanding test coverage to reduce regression risk.
1 Commits • 1 Features
Mar 1, 2026March 2026 performance summary for NVIDIA/TensorRT-Incubator: The primary deliverable was NVTX Range Annotations for JAX Subgraph Profiling, enabling precise subgraph visibility in Nsight Systems within the MLIR TensorRT workflow. Implemented mtrt_nvtx_push and mtrt_nvtx_pop with nested/overlapping range support; these primitives act as compiler barriers to preserve subgraph boundaries and lower to stablehlo custom_calls. Built end-to-end integration across the pipeline (JAX primitives → StableHLO → Plan → Executor → Lua runtime) and added tests. This work enhances observability, helps identify optimization opportunities in JAX-based models accelerated by TensorRT, and lays the groundwork for future NVTX-based profiling features. No major bug fixes were reported this month; the focus remained on feature delivery and expanding test coverage to reduce regression risk.
March 2026
November 2025
3 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — NVIDIA/TensorRT-Incubator: Delivered FP4 input type support for TensorRT engines, cleaned up internal decomposition functions in the StableHLO to TensorRT path, and fixed a critical correctness issue in StableHloRaiseQDQPass. The bug fix preserves stablehlo.convert across multiple uses and only replaces stablehlo.mul with a composite operation, addressing a regression. These changes enhance hardware compatibility, reliability, and maintainability, enabling broader low-precision workloads and a cleaner conversion pipeline.
November 2025
3 Commits • 1 Features
Nov 1, 2025Month: 2025-11 — NVIDIA/TensorRT-Incubator: Delivered FP4 input type support for TensorRT engines, cleaned up internal decomposition functions in the StableHLO to TensorRT path, and fixed a critical correctness issue in StableHloRaiseQDQPass. The bug fix preserves stablehlo.convert across multiple uses and only replaces stablehlo.mul with a composite operation, addressing a regression. These changes enhance hardware compatibility, reliability, and maintainability, enabling broader low-precision workloads and a cleaner conversion pipeline.
October 2025
1 Commits
Oct 1, 2025Monthly summary for 2025-10 focusing on NVIDIA/TensorRT-Incubator development. Key accomplishment: implemented pre-translation CUDA device availability check and explicit 'no CUDA device found' error messaging to strengthen the TensorRT translation workflow. This change reduces futile translations, shortens debugging cycles, and improves reliability across GPU-enabled deployments.
1 Commits
Oct 1, 2025Monthly summary for 2025-10 focusing on NVIDIA/TensorRT-Incubator development. Key accomplishment: implemented pre-translation CUDA device availability check and explicit 'no CUDA device found' error messaging to strengthen the TensorRT translation workflow. This change reduces futile translations, shortens debugging cycles, and improves reliability across GPU-enabled deployments.
October 2025
September 2025
5 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for NVIDIA/TensorRT-Incubator focusing on delivering runtime feature capabilities, improving stability, and streamlining CI. The team delivered significant numeric type enhancements, TensorRT quantization support, and CI pipeline optimizations, translating into broader runtime usage and faster feedback cycles.
September 2025
5 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for NVIDIA/TensorRT-Incubator focusing on delivering runtime feature capabilities, improving stability, and streamlining CI. The team delivered significant numeric type enhancements, TensorRT quantization support, and CI pipeline optimizations, translating into broader runtime usage and faster feedback cycles.
July 2025
7 Commits • 6 Features
Jul 1, 2025July 2025 delivered substantial CI/CD improvements and internal MLIR-TensorRT enhancements in NVIDIA/TensorRT-Incubator, laying groundwork for faster builds, greater stability, and smoother releases. Major features delivered include CI workflow improvements, MLIR-TensorRT internal improvements and cleanup, constant folding refactor with OSS migration, TensorRT Activation adaptor defaults, and release preparation plus developer onboarding docs. Major bugs fixed: none reported this month; efforts focused on optimization and cleanup. Overall impact: faster and more reliable CI, cleaner codebase, and improved contributor onboarding, accelerating upcoming releases. Technologies/skills demonstrated: CI/CD optimization, MLIR-TensorRT internals, memory management enhancements, CUDA wrappers cleanup, Dev Containers, and OSS collaboration.
7 Commits • 6 Features
Jul 1, 2025July 2025 delivered substantial CI/CD improvements and internal MLIR-TensorRT enhancements in NVIDIA/TensorRT-Incubator, laying groundwork for faster builds, greater stability, and smoother releases. Major features delivered include CI workflow improvements, MLIR-TensorRT internal improvements and cleanup, constant folding refactor with OSS migration, TensorRT Activation adaptor defaults, and release preparation plus developer onboarding docs. Major bugs fixed: none reported this month; efforts focused on optimization and cleanup. Overall impact: faster and more reliable CI, cleaner codebase, and improved contributor onboarding, accelerating upcoming releases. Technologies/skills demonstrated: CI/CD optimization, MLIR-TensorRT internals, memory management enhancements, CUDA wrappers cleanup, Dev Containers, and OSS collaboration.
July 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for NVIDIA/TensorRT-Incubator: Delivered targeted compiler optimization and analysis enhancements for MLIR-TensorRT, including a constant-foldable subgraph analysis pass and the InferTensorValueRangeInterface for improved value bound analysis. Refactored Python packaging, applied build fixes, and improved inlining for the TensorRT dialect, consolidating internal changes into a cohesive performance and analysis enhancement. This work lays the groundwork for higher inference throughput, better stability, and more robust deployment tooling.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for NVIDIA/TensorRT-Incubator: Delivered targeted compiler optimization and analysis enhancements for MLIR-TensorRT, including a constant-foldable subgraph analysis pass and the InferTensorValueRangeInterface for improved value bound analysis. Refactored Python packaging, applied build fixes, and improved inlining for the TensorRT dialect, consolidating internal changes into a cohesive performance and analysis enhancement. This work lays the groundwork for higher inference throughput, better stability, and more robust deployment tooling.
May 2025
3 Commits • 2 Features
May 1, 2025May 2025 monthly summary for NVIDIA/TensorRT-Incubator: Focused on expanding open-source contributions and refreshing CI to strengthen testing reliability and performance. Key deliverables include moving internal changes to the open-source TensorRT/StableHLO integration, and modernizing the CI pipeline with a GPU-based runner and removal of outdated TRT8 checks. These efforts improve compiler functionality, overall performance, and faster feedback loops for contributors and downstream users.
3 Commits • 2 Features
May 1, 2025May 2025 monthly summary for NVIDIA/TensorRT-Incubator: Focused on expanding open-source contributions and refreshing CI to strengthen testing reliability and performance. Key deliverables include moving internal changes to the open-source TensorRT/StableHLO integration, and modernizing the CI pipeline with a GPU-based runner and removal of outdated TRT8 checks. These efforts improve compiler functionality, overall performance, and faster feedback loops for contributors and downstream users.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly highlights for NVIDIA/TensorRT-Incubator focusing on release readiness and dependency stabilization.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly highlights for NVIDIA/TensorRT-Incubator focusing on release readiness and dependency stabilization.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 — NVIDIA/TensorRT-Incubator: Delivered a streamlined Python wheel release workflow with a clang-based CMake preset, enhanced configurability, and fixes to the wheel release process. Implemented the preset into build_wheels.sh, added CLI support for specifying TensorRT versions, and refactored version handling to provide defaults and environment-variable overrides for Python and TensorRT versions. Also fixed wheel release script issues to improve release reliability.
2 Commits • 1 Features
Mar 1, 2025March 2025 — NVIDIA/TensorRT-Incubator: Delivered a streamlined Python wheel release workflow with a clang-based CMake preset, enhanced configurability, and fixes to the wheel release process. Implemented the preset into build_wheels.sh, added CLI support for specifying TensorRT versions, and refactored version handling to provide defaults and environment-variable overrides for Python and TensorRT versions. Also fixed wheel release script issues to improve release reliability.
March 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Focused on enabling PyTorch model compilation via MLIR-TensorRT and refactoring the compiler for OSS alignment, coupled with runtime organization improvements. Implemented INT4 test updates, removal of opaque types, and enhanced debugging options to streamline the compilation process and broaden support for different model formats. This work positions NVIDIA/TensorRT-Incubator for easier OSS collaboration and wider PyTorch deployment. Commit highlights include: d341395d9a23390e8af308a0712e597fb4272c2e — Move internal changes (#468).
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Focused on enabling PyTorch model compilation via MLIR-TensorRT and refactoring the compiler for OSS alignment, coupled with runtime organization improvements. Implemented INT4 test updates, removal of opaque types, and enhanced debugging options to streamline the compilation process and broaden support for different model formats. This work positions NVIDIA/TensorRT-Incubator for easier OSS collaboration and wider PyTorch deployment. Commit highlights include: d341395d9a23390e8af308a0712e597fb4272c2e — Move internal changes (#468).
December 2024
1 Commits • 1 Features
Dec 1, 2024In 2024-12, focused on stabilizing and modernizing the StableHLO path within NVIDIA/TensorRT-Incubator. Delivered compiler API modernization by splitting compiler_stablehlo_to_executable into StableHloPipeline and getExecutable, and improved robustness by allowing any stride for zero-sized dimensions. These changes reduce runtime errors, improve maintainability, and position the project for future StableHLO integrations.
1 Commits • 1 Features
Dec 1, 2024In 2024-12, focused on stabilizing and modernizing the StableHLO path within NVIDIA/TensorRT-Incubator. Delivered compiler API modernization by splitting compiler_stablehlo_to_executable into StableHloPipeline and getExecutable, and improved robustness by allowing any stride for zero-sized dimensions. These changes reduce runtime errors, improve maintainability, and position the project for future StableHLO integrations.
December 2024
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 — NVIDIA/TensorRT-Incubator: Focused on hardening the mlir-tensorrt integration CI to reduce risk and accelerate safe releases. Implemented multi-version TensorRT testing configurations, enabled AddressSanitizer, and added a commit message validation step to enforce a canonical format. The changes, anchored by commit 8fabb3ce270d1d7287cd71636904f593c1677f71, enhance CI robustness and provide faster, more actionable feedback to developers.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 — NVIDIA/TensorRT-Incubator: Focused on hardening the mlir-tensorrt integration CI to reduce risk and accelerate safe releases. Implemented multi-version TensorRT testing configurations, enabled AddressSanitizer, and added a commit message validation step to enforce a canonical format. The changes, anchored by commit 8fabb3ce270d1d7287cd71636904f593c1677f71, enhance CI robustness and provide faster, more actionable feedback to developers.
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for NVIDIA/TensorRT-Incubator focused on MLIR-TensorRT maintenance, documentation, and testing improvements. Implemented code ownership to streamline code reviews, ensured testing dependencies include torch to improve test readiness, and fixed a README/documentation issue to enhance accuracy. These changes reduce review cycles, improve maintainability, and strengthen CI reliability across the MLIR-TensorRT integration.
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for NVIDIA/TensorRT-Incubator focused on MLIR-TensorRT maintenance, documentation, and testing improvements. Implemented code ownership to streamline code reviews, ensured testing dependencies include torch to improve test readiness, and fixed a README/documentation issue to enhance accuracy. These changes reduce review cycles, improve maintainability, and strengthen CI reliability across the MLIR-TensorRT integration.
October 2024
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Quality Metrics
Correctness91.4%
Maintainability86.4%
Architecture85.8%
Performance82.6%
AI Usage25.0%
Skills & Technologies
Programming Languages
BashC++CMakeMLIRMarkdownPythonShellTextYAMLcmake
Technical Skills
API DesignBufferizationBuild AutomationBuild System ConfigurationBuild System ManagementBuild SystemsC++C++ DevelopmentC++ developmentCI/CDCMakeCUDACode GenerationCode RefactoringCompiler Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline