add some more module-owners/modules

Signed-off-by: Venky Ganesh <[email protected]>

Author: venkywonka

.github/module-paths.json

@@ -6,5 +6,25 @@
     "benchmarks/": "Performance",
     "examples/disaggregated/": "Disaggregated Serving",
     "docs/": "Documentation",
-    "docker/": "Installation"
+    "docker/": "Installation",
+    ".github/": "CI/CD",
+    "jenkins/": "CI/CD",
+    "tensorrt_llm/_torch/": "Torch Framework",
+    "tensorrt_llm/_torch/attention_backend/": "Torch Attention Backend",
+    "tensorrt_llm/_torch/auto_deploy/": "Torch AutoDeploy",
+    "tensorrt_llm/_torch/compilation/": "Torch Compilation",
+    "tensorrt_llm/_torch/custom_ops/": "Torch Custom Ops",
+    "tensorrt_llm/_torch/distributed/": "Torch Distributed",
+    "tensorrt_llm/_torch/pyexecutor/": "Torch PyExecutor",
+    "tensorrt_llm/_torch/speculative/": "Torch Speculative",
+    "tensorrt_llm/autotuner.py": "Autotuner",
+    "tensorrt_llm/pipeline_interface.py": "Pipeline Interface",
+    "tensorrt_llm/_torch/models/": "Torch Models",
+    "tensorrt_llm/_torch/models/modeling_deepseekv3.py": "Torch Models DeepSeekV3",
+    "tensorrt_llm/_torch/models/modeling_llama.py": "Torch Models Llama",
+    "tensorrt_llm/_torch/modules/": "Torch Modules",
+    "tensorrt_llm/_torch/modules/attention.py": "Torch Modules Attention",
+    "tensorrt_llm/_torch/modules/fused_moe.py": "Torch Modules Fused MOE",
+    "tests/unittest/_torch/": "Torch Tests",
+    "examples/pytorch/": "PyTorch Examples"
 }

.github/scripts/assign_reviewers.py

@@ -1,6 +1,7 @@
 import argparse
 import json
 import os
+import random
 import subprocess
 from pathlib import Path
 
@@ -66,8 +67,8 @@ def main() -> None:
     modules = map_modules(changed_files, module_paths)
     reviewers = gather_reviewers(modules, module_owners, pr_author=pr_author)
 
-    if reviewer_limit:
-        reviewers = reviewers[:reviewer_limit]
+    if reviewer_limit and len(reviewers) > reviewer_limit:
+        reviewers = random.sample(reviewers, reviewer_limit)
 
     if reviewers:
         cmd = ["gh", "pr", "edit", pr_number]

.github/workflows/module-owners.json

@@ -7,10 +7,29 @@
     "Speculative Decoding":["yweng0828", "nekorobov", "lfr-0531"],
     "Customized Kernels":["lowsfer", "PerkzZheng", "jdemouth-nvidia"],
     "Performance": ["kaiyux", "jiahanc", "hypdeb"],
-    "Lora/P-tuning":["byshiue", "Naveassaf"],
+    "Lora/P-tuning":["byshiue", "shaharmor98"],
     "Disaggregated Serving":["Shixiaowei02", "joyang-nv", "chuangz0", "schetlur-nv"],
     "Documentation":["nv-guomingz"],
     "Sampling": ["dcampora", "lfr-0531", "Naveassaf", "syuoni", "yweng0828"],
     "Memory": ["litaotju", "peaceh-nv"],
-    "Installation": ["hchings", "Superjomn", "nv-guomingz", "QiJune"]
+    "Installation": ["hchings", "Superjomn", "nv-guomingz", "QiJune"],
+    "CI/CD": ["chzblych", "syuoni"],
+    "Torch Framework": ["QiJune", "hlu1"],
+    "Torch Attention Backend": ["yuxianq", "hlu1"],
+    "Torch AutoDeploy": ["lucaslie", "suyoggupta"],
+    "Torch Compilation": ["litaotju", "yizhang-nv", "liji-nv"],
+    "Torch Custom Ops": ["yizhang-nv"],
+    "Torch Distributed": ["yilin-void", "yuxianq", "hyukn", "yizhang-nv", "hlu1"],
+    "Torch PyExecutor": ["dongxuy04", "funatiq", "dcampora", "HuiGao-NV"],
+    "Torch Speculative": ["lfr-0531", "mikeiovine"],
+    "Autotuner": ["hyukn", "litaotju"],
+    "Pipeline Interface": ["amukkara", "chang-l"],
+    "Torch Models": ["QiJune", "hlu1"],
+    "Torch Models DeepSeekV3": ["hlu1", "zongfeijing"],
+    "Torch Models Llama": ["chang-l", "mikeiovine"],
+    "Torch Modules": ["QiJune", "hlu1"],
+    "Torch Modules Attention": ["yuxianq", "hlu1"],
+    "Torch Modules Fused MOE": ["hlu1", "dongxuy04", "zongfeijing", "HuiGao-NV"],
+    "Torch Tests": ["QiJune", "hlu1"],
+    "PyTorch Examples": ["QiJune", "hlu1"]
 }