[None][fix] Remove lock related typo in py_executor

.clang-tidy

@@ -1,5 +1,6 @@
 Checks: '*,
          -altera-id-dependent-backward-branch,
+         -altera-struct-pack-align,
          -altera-unroll-loops,
          -boost-use-ranges,
          -cppcoreguidelines-avoid-do-while,
@@ -9,8 +10,10 @@ Checks: '*,
          -fuchsia-default-arguments-calls,
          -fuchsia-default-arguments-declarations,
          -fuchsia-overloaded-operator,
+         -fuchsia-virtual-inheritance,
          -hicpp-vararg,
          -llvm-else-after-return,
          -llvmlibc-*,
+         -misc-include-cleaner,
          -misc-non-private-member-variables-in-classes,
          -modernize-use-trailing-return-type'

.clangd

@@ -29,7 +29,7 @@ CompileFlags:
 # Tweak the clangd parse settings for all files
 CompileFlags:
   Compiler: clang++
-  CompilationDatabase: .
+  CompilationDatabase: cpp/build
   Add:
     # report all errors
     - "-ferror-limit=0"

.coderabbit.yaml

@@ -14,9 +14,25 @@
 # limitations under the License.
 
 # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json
+# https://docs.coderabbit.ai/getting-started/configure-coderabbit/
+# In PR, comment "@coderabbitai configuration" to get the full config including defaults
 language: "en-US"
 reviews:
+  profile: chill
+  auto_title_placeholder: '@coderabbitai title'
+  auto_title_instructions: 'Should follow the format: "[fix/feat/doc/infra/...] \<summary of this PR\>". Keep it concise.'
+  commit_status: false
+  collapse_walkthrough: true
+  assess_linked_issues: true
+  related_issues: true
+  related_prs: true
+  suggested_labels: true
+  suggested_reviewers: true
+  poem: false
   auto_review:
     drafts: true
     base_branches: ["main", "release/.+"]
-  commit_status: false
+knowledge_base:
+  code_guidelines:
+    enabled: true
+    filePatterns: ["**/CODING_GUIDELINES.md"]

.github/CODEOWNERS

@@ -14,6 +14,103 @@
 /tensorrt_llm/_torch/auto_deploy @NVIDIA/trt-llm-torch-autodeploy-devs
 /tensorrt_llm/examples/auto_deploy @NVIDIA/trt-llm-torch-autodeploy-devs
 
+## TensorRT-LLM Pytorch - Speculative Decoding
+/tensorrt_llm/_torch/speculative @NVIDIA/trt-llm-torch-spec-decoding
+
+## TensorRT-LLM Pytorch - Graph Compiler
+/tensorrt_llm/_torch/compilation @NVIDIA/trt-llm-torch-graph-compiler
+/tensorrt_llm/_torch/custom_ops @NVIDIA/trt-llm-torch-graph-compiler
+/tensorrt_llm/_torch/autotuner.py @NVIDIA/trt-llm-torch-graph-compiler
+/tests/unittest/_torch/compilation @NVIDIA/trt-llm-torch-graph-compiler
+/tests/unittest/_torch/multi_gpu/test_ar_residual_norm.py @NVIDIA/trt-llm-torch-graph-compiler
+/tests/unittest/_torch/multi_gpu/test_user_buffers.py @NVIDIA/trt-llm-torch-graph-compiler
+/tests/unittest/_torch/test_custom_ops.py @NVIDIA/trt-llm-torch-graph-compiler
+/tests/unittest/_torch/test_autotuner.py @NVIDIA/trt-llm-torch-graph-compiler
+
+## TensorRT-LLM Pytorch - Attention
+/tensorrt_llm/_torch/attention_backend @NVIDIA/trt-llm-torch-attention-devs
+/tensorrt_llm/_torch/modules/attention.py @NVIDIA/trt-llm-torch-attention-devs
+
+## TensorRT-LLM Pytorch - Modules
+/tensorrt_llm/_torch/modules @NVIDIA/trt-llm-torch-modules
+
+
+## TensorRT-LLM Pytorch Models
+/tensorrt_llm/_torch/models @NVIDIA/trt-llm-torch-models-devs
+
+### TensorRT-LLM Pytorch - Models - Gemma
+/tensorrt_llm/_torch/models/modeling_gemma3.py @NVIDIA/trt-llm-torch-models-gemma-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/models/modeling_gemma3vl.py @NVIDIA/trt-llm-torch-models-gemma-devs @NVIDIA/trt-llm-torch-models-devs
+/tests/unittest/_torch/modeling/test_modeling_gemma3.py @NVIDIA/trt-llm-torch-models-gemma-devs @NVIDIA/trt-llm-torch-models-devs
+
+### TensorRT-LLM Pytorch - Models - Mistral & Mixtral
+/tensorrt_llm/_torch/models/modeling_mistral.py @NVIDIA/trt-llm-torch-models-mistral-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/models/modeling_pixtral.py @NVIDIA/trt-llm-torch-models-mistral-devs @NVIDIA/trt-llm-torch-models-devs
+/tests/unittest/_torch/modeling/test_modeling_mistral.py @NVIDIA/trt-llm-torch-models-mistral-devs @NVIDIA/trt-llm-torch-models-devs
+/tests/unittest/_torch/modeling/test_modeling_mixtral.py @NVIDIA/trt-llm-torch-models-mistral-devs @NVIDIA/trt-llm-torch-models-devs
+
+### TensorRT-LLM Pytorch - Models - CLIP
+/tensorrt_llm/_torch/models/modeling_clip.py @NVIDIA/trt-llm-torch-models-clip-devs @NVIDIA/trt-llm-torch-models-devs
+/tests/unittest/_torch/modeling/test_modeling_clip.py @NVIDIA/trt-llm-torch-models-clip-devs @NVIDIA/trt-llm-torch-models-devs
+
+### TensorRT-LLM Pytorch - Models - Phi
+/tensorrt_llm/_torch/models/modeling_phi3.py @NVIDIA/trt-llm-torch-models-phi-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/models/modeling_phi4mm.py @NVIDIA/trt-llm-torch-models-phi-devs @NVIDIA/trt-llm-torch-models-devs
+/tests/unittest/_torch/modeling/test_modeling_phi3.py @NVIDIA/trt-llm-torch-models-phi-devs @NVIDIA/trt-llm-torch-models-devs
+/tests/integration/defs/examples/test_multimodal.py @NVIDIA/trt-llm-torch-models-phi-devs @NVIDIA/trt-llm-torch-models-devs
+
+### TensorRT-LLM Pytorch - Models - Deepseek
+/tensorrt_llm/_torch/models/modeling_deepseekv3.py @NVIDIA/trt-llm-torch-models-deepseek-devs @NVIDIA/trt-llm-torch-models-devs
+/tests/unittest/_torch/modeling/test_modeling_deepseek.py @NVIDIA/trt-llm-torch-models-deepseek-devs @NVIDIA/trt-llm-torch-models-devs
+
+### TensorRT-LLM Pytorch - Models - Llama
+/tensorrt_llm/_torch/models/modeling_mllama.py @NVIDIA/trt-llm-torch-models-llama-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/models/modeling_llama.py @NVIDIA/trt-llm-torch-models-llama-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/models/modeling_llama_min_latency.py @NVIDIA/trt-llm-torch-models-llama-devs @NVIDIA/trt-llm-torch-models-devs
+/tests/unittest/_torch/modeling/test_modeling_llama.py @NVIDIA/trt-llm-torch-models-llama-devs @NVIDIA/trt-llm-torch-models-devs
+/tests/unittest/_torch/modeling/test_modeling_llama_min_latency.py @NVIDIA/trt-llm-torch-models-llama-devs @NVIDIA/trt-llm-torch-models-devs
+
+### TensorRT-LLM Pytorch - Models - Qwen
+/tensorrt_llm/_torch/models/modeling_qwen3_moe.py @NVIDIA/trt-llm-torch-models-qwen-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/models/modeling_qwen3.py @NVIDIA/trt-llm-torch-models-qwen-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/models/modeling_qwen2vl.py @NVIDIA/trt-llm-torch-models-qwen-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/models/modeling_qwen.py @NVIDIA/trt-llm-torch-models-qwen-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/models/modeling_qwen_moe.py @NVIDIA/trt-llm-torch-models-qwen-devs @NVIDIA/trt-llm-torch-models-devs
+
+### TensorRT-LLM Pytorch - Models - VLMs
+/tensorrt_llm/_torch/models/modeling_vila.py @NVIDIA/trt-llm-torch-models-vlm-devs @NVIDIA/trt-llm-torch-models-devs
+/tests/unittest/_torch/modeling/test_modeling_vila.py @NVIDIA/trt-llm-torch-models-vlm-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/models/modeling_pixtral.py @NVIDIA/trt-llm-torch-models-vlm-devs @NVIDIA/trt-llm-torch-models-devs
+/tests/unittest/_torch/modeling/test_modeling_pixtral.py @NVIDIA/trt-llm-torch-models-vlm-devs @NVIDIA/trt-llm-torch-models-devs
+
+### TensorRT-LLM Pytorch - Models - Nemotron
+/tensorrt_llm/_torch/models/modeling_nemotron_nas.py @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/models/modeling_nemotron_h.py @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/models/modeling_nemotron_nas.py @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/pyexecutor/resource_manager.py @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-runtime-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/modules/mamba @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-devs
+/tensorrt_llm/_torch/models/checkpoints/hf/nemotron_h_weight_mapper.py @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-devs
+/tests/unittest/_torch/modeling/test_modeling_nemotron.py @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-devs
+/tests/unittest/_torch/modeling/test_modeling_nemotron_h.py @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-devs
+/tests/unittest/_torch/modeling/test_modeling_nemotron_nas.py @NVIDIA/trt-llm-torch-models-nemotron-devs @NVIDIA/trt-llm-torch-models-devs
+
+## TensorRT-LLM - PEFT
+/tensorrt_llm/_torch/peft @NVIDIA/trt-llm-torch-peft
+/tensorrt_llm/lora_manager.py @NVIDIA/trt-llm-torch-peft
+/cpp/tensorrt_llm/batch_manager/peftCacheManager.cpp @NVIDIA/trt-llm-torch-peft
+/cpp/include/tensorrt_llm/batch_manager/peftCacheManager.h @NVIDIA/trt-llm-torch-peft
+/cpp/tensorrt_llm/runtime/loraCache.cpp @NVIDIA/trt-llm-torch-peft
+/cpp/include/tensorrt_llm/runtime/loraCache.h @NVIDIA/trt-llm-torch-peft
+/cpp/tensorrt_llm/runtime/loraModule.cpp @NVIDIA/trt-llm-torch-peft
+/cpp/include/tensorrt_llm/runtime/loraModule.h @NVIDIA/trt-llm-torch-peft
+/cpp/tensorrt_llm/runtime/loraManager.cpp @NVIDIA/trt-llm-torch-peft
+/cpp/tensorrt_llm/runtime/loraManager.h @NVIDIA/trt-llm-torch-peft
+/cpp/tensorrt_llm/runtime/loraUtils.cpp @NVIDIA/trt-llm-torch-peft
+/cpp/tensorrt_llm/runtime/loraUtils.h @NVIDIA/trt-llm-torch-peft
+
+## TensorRT-LLM - Triton backend
+/triton_backend @NVIDIA/trt-llm-triton-backend-devs
+
 ## TensorRT-LLM trtllm-bench Reviewers
 /tensorrt_llm/bench @NVIDIA/trtllm-bench-reviewers
 /tensorrt_llm/commands/bench.py @NVIDIA/trtllm-bench-reviewers
@@ -23,6 +120,35 @@ docs/source/performance/perf-benchmarking.md @NVIDIA/trtllm-bench-reviewers
 /tensorrt_llm/llmapi @NVIDIA/trt-llm-llmapi-devs
 /tensorrt_llm/executor @NVIDIA/trt-llm-llmapi-devs
 
+## TensorRT-LLM LLM Disaggregated
+/examples/disaggregated @NVIDIA/trt-llm-disagg-devs
+/tensorrt_llm/disaggregated_params.py @NVIDIA/trt-llm-disagg-devs
+/tensorrt_llm/_torch/pyexecutor/kv_cache_transceiver.py @NVIDIA/trt-llm-disagg-devs
+/tensorrt_llm/_torch/pyexecutor/py_executor.py @NVIDIA/trt-llm-disagg-devs
+/cpp/tensorrt_llm/batch_manager/cacheFormatter.cpp @NVIDIA/trt-llm-disagg-devs
+/cpp/tensorrt_llm/batch_manager/cacheFormatter.h @NVIDIA/trt-llm-disagg-devs
+/cpp/tensorrt_llm/batch_manager/cacheTransBuffer.cpp @NVIDIA/trt-llm-disagg-devs
+/cpp/tensorrt_llm/batch_manager/cacheTransBuffer.h @NVIDIA/trt-llm-disagg-devs
+/cpp/tensorrt_llm/batch_manager/cacheTransceiver.cpp @NVIDIA/trt-llm-disagg-devs
+/cpp/tensorrt_llm/batch_manager/dataTransceiver.cpp @NVIDIA/trt-llm-disagg-devs
+/cpp/tensorrt_llm/batch_manager/dataTransceiver.h @NVIDIA/trt-llm-disagg-devs
+/cpp/tensorrt_llm/batch_manager/dataTransceiverImpl.cpp @NVIDIA/trt-llm-disagg-devs
+/cpp/tensorrt_llm/batch_manager/dataTransceiverImpl.h @NVIDIA/trt-llm-disagg-devs
+
+## TensorRT-LLM Infra
+
+### CI
+/jenkins @NVIDIA/trt-llm-ci-infra-devs @NVIDIA/trt-llm-infra-devs
+### Setup
+/docker @NVIDIA/trt-llm-setup-infra-devs @NVIDIA/trt-llm-infra-devs
+### Github workflows
+/tensorrt_llm/.github @NVIDIA/trt-llm-gh-workflows-infra-devs @NVIDIA/trt-llm-infra-devs
+/tensorrt_llm/.coderabbit.yaml @NVIDIA/trt-llm-gh-workflows-infra-devs @NVIDIA/trt-llm-infra-devs
+
+## TensorRT-LLM - Docs
+/docs @NVIDIA/trt-llm-doc-owners
+/examples @NVIDIA/trt-llm-doc-owners
+
 # The rule below requires that any PR modifying public APIs must be approved by at least one member
 # of the NVIDIA/trt-llm-committed-api-review-committee or NVIDIA/trt-llm-noncommitted-api-review-committee team.
 # This approval is mandatory regardless of other approvals the PR may have received. Without approval

.github/pull_request_template.md

@@ -3,15 +3,21 @@
 <!--
 Please write the PR title by following this template:
 
-[JIRA ticket/NVBugs ID/GitHub issue][fix/feat/doc/infra/...] \<summary of this PR\>
+**[JIRA ticket/NVBugs ID/GitHub issue/None][type] Summary**
 
-For example, assume I have a PR to support a new feature about cache manager for JIRA ticket TRTLLM-1000, it would be like:
+Valid ticket formats:
+  - JIRA ticket: [TRTLLM-1234] or [FOOBAR-123] for other FOOBAR project
+  - NVBugs ID: [https://nvbugs/1234567]
+  - GitHub issue: [#1234]
+  - No ticket: [None]
 
-[TRTLLM-1000][feat] Support a new feature about cache manager
+Valid types (lowercase): [fix], [feat], [doc], [infra], [chore], etc.
 
-Or I have a PR to fix a Llama3 accuracy issue:
-
-[https://nvbugs/1234567][fix] Fix Llama3 accuracy issue
+Examples:
+  - [TRTLLM-1234][feat] Add new feature
+  - [https://nvbugs/1234567][fix] Fix some bugs
+  - [#1234][doc] Update documentation
+  - [None][chore] Minor clean-up
 -->
 
 ## Description

.github/workflows/blossom-ci.yml

@@ -40,7 +40,7 @@ jobs:
         startsWith(github.event.comment.body, '/bot skip --comment') ||
         startsWith(github.event.comment.body, '/bot reuse-pipeline') ||
         startsWith(github.event.comment.body, '/bot kill')) && contains(
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         github.actor)
     steps:
       - name: Check if comment is issued by authorized person