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Description

This PR:

Test Coverage

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Summary by CodeRabbit

  • Chores

    • Optimized GPU synchronization for newer architectures (Hopper, Blackwell).
    • Updated build configurations for GPU-specific compilation settings.
    • Reduced CI build job parallelism for optimized resource utilization.
  • Bug Fixes

    • Enhanced accuracy evaluation script to support custom output directories and sample logging.
    • Improved error messaging to display actual token values during validation.

✏️ Tip: You can customize this high-level summary in your review settings.

@syuoni syuoni marked this pull request as ready for review November 28, 2025 14:45
@syuoni syuoni requested review from a team as code owners November 28, 2025 14:45
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syuoni commented Nov 28, 2025

/bot run --disable-fail-fast

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📝 Walkthrough

Walkthrough

This pull request adds device-scope synchronization primitives to a CUDA MOE routing kernel for Hopper+ architectures, enables CUTLASS GDC compilation flags for specific GPU generations, enhances an accuracy evaluation script with output directory handling, and includes minor updates to build parallelism configuration and assertion messaging.

Changes

Cohort / File(s) Summary
CUDA Kernel Synchronization
cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
Inserts device-scope synchronization calls in customMoeRoutingKernel guarded by __CUDA_ARCH__ >= 900: adds cudaGridDependencySynchronize() before token processing loop and cudaTriggerProgrammaticLaunchCompletion() after loop completion.
Build Configuration
cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt, jenkins/L0_Test.groovy
Adds CUTLASS GDC compile options for Hopper (SM90) and Blackwell (SM100/103/120/121) architectures; reduces build job parallelism from 8 to 4.
Accuracy Evaluation Scripts
examples/disaggregated/slurm/benchmark/accuracy_eval.sh, examples/disaggregated/slurm/benchmark/disaggr_torch.slurm
Adds output_dir parameter to accuracy evaluation, creates output directory, passes it to lm_eval with sample logging; main invocation script supplies the output path.
Error Message Enhancement
tensorrt_llm/_torch/pyexecutor/model_engine.py
Updates token count assertion to include actual values (total_num_tokens, max_num_tokens) in error message.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

  • customMoeRoutingKernels.cu: Straightforward synchronization additions; verify guards are appropriate for target GPU generations.
  • CMakeLists.txt: Confirm compile flag naming and GPU architecture detection logic are correct.
  • Script changes: Verify output directory handling integrates properly with existing lm_eval invocation and logging flow.

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Description check ⚠️ Warning The description is incomplete. It mentions what is being fixed but lacks details on the solution, test coverage, and has most checklist items unchecked. Provide a more detailed explanation of the PDL fix, list specific tests that verify the changes, and ensure checklist items are properly addressed before merging.
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✅ Passed checks (1 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly identifies the main fix (Qwen3-235B ATP accuracy issue with PDL) and properly follows the repository's PR title template format.
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Actionable comments posted: 0

🧹 Nitpick comments (1)
jenkins/L0_Test.groovy (1)

81-86: BUILD_JOBS reduced from 8 to 4 – confirm this global throttling is intentional

This halves CMake/Ninja parallelism while the build pod still requests 8 CPUs, trading build time for (likely) lower memory/thermal pressure. If this was only needed for specific heavy builds, consider making BUILD_JOBS stage-/arch-configurable instead of globally lowering it; otherwise this looks fine, just be aware of the extra runtime cost.

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📥 Commits

Reviewing files that changed from the base of the PR and between 70efa3a and 26735f9.

📒 Files selected for processing (6)
  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu (2 hunks)
  • cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt (2 hunks)
  • examples/disaggregated/slurm/benchmark/accuracy_eval.sh (2 hunks)
  • examples/disaggregated/slurm/benchmark/disaggr_torch.slurm (1 hunks)
  • jenkins/L0_Test.groovy (1 hunks)
  • tensorrt_llm/_torch/pyexecutor/model_engine.py (1 hunks)
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**/*.py

📄 CodeRabbit inference engine (CODING_GUIDELINES.md)

**/*.py: The code developed for TensorRT-LLM should conform to Python 3.8+
Indent Python code with 4 spaces; do not use tabs
Always maintain the namespace when importing in Python, even if only one class or function from a module is used (e.g., use from package.subpackage import foo and then foo.SomeClass() instead of from package.subpackage.foo import SomeClass)
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Python function and method names should use snake_case (e.g., def my_awesome_function():)
Python local variable names should use snake_case, with prefix k for variable names that start with a number (e.g., k_99th_percentile = ...)
Python global variables should use upper snake_case with prefix G (e.g., G_MY_GLOBAL = ...)
Python constants should use upper snake_case (e.g., MY_CONSTANT = ...)
Avoid shadowing variables declared in an outer scope in Python
Initialize all externally visible members of a Python class in the constructor
For Python interfaces that may be used outside a file, prefer docstrings over comments
Python comments should be reserved for code within a function, or interfaces that are local to a file
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Python attributes and variables can be documented inline with type and description (e.g., self.x = 5 followed by """<type>: Description of 'x'""" )
Avoid using reflection in Python when functionality can be easily achieved without reflection
When using try-except blocks in Python, limit the except clause to the smallest set of specific errors possible instead of catching all exceptions
When using try-except blocks in Python to handle multiple possible variable types (duck-typing), keep the body of the try as small as possible and use the else block to implement the logic

Files:

  • tensorrt_llm/_torch/pyexecutor/model_engine.py
**/*.{cpp,h,cu,py}

📄 CodeRabbit inference engine (CODING_GUIDELINES.md)

All TensorRT-LLM Open Source Software code files should contain an NVIDIA copyright header that includes the current year at the top

Files:

  • tensorrt_llm/_torch/pyexecutor/model_engine.py
  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
**/*.{cpp,h,cu}

📄 CodeRabbit inference engine (CODING_GUIDELINES.md)

**/*.{cpp,h,cu}: Closing braces of namespaces should have a comment saying the namespace it closes (e.g., } // namespace foo)
Prefer const or constexpr variables over #define whenever possible, as the latter are not visible to the compiler
A variable that is not modified after its initialization should be declared as const
Except 0 (only used in comparison for checking signness/existence/emptiness) and nullptr, true, false, all other literals should only be used for variable initialization and should be replaced with named constants
Use Allman indentation style for braces in C++
Put the semicolon for an empty for or while loop in a new line
The statement forming the body of a switch, while, do .. while or for statement shall be a compound statement (use brace-delimited statements)
If and else should always be followed by brace-delimited statements, even if empty or a single statement
C++ filenames should use camel case with first letter lowercase (e.g., thisIsASubDir and thisIsAFilename.cpp)
All filenames involved in compilation of a compilation target must have case-insensitive unique filenames
All types (including class names) should use camel case with uppercase first letter (e.g., FooBarClass)
Local variables, methods and namespaces should use camel case with first letter lowercase (e.g., localFooBar)
Non-magic-number global variables that are non-static and not defined in anonymous namespace should use camel case prefixed by a lower case 'g' (e.g., gDontUseGlobalFoos)
Non-magic-number global variables that are static or defined in an anonymous namespace should use camel case prefixed by a lower case 's' (e.g., sMutableStaticGlobal)
Locally visible static variables should use camel case with lowercase prefix 's' as the first letter of the name (e.g., static std::once_flag sFlag;)
Public, private and protected class member variables should use camel case prefixed with 'm' (e.g., mNbFooValues), though the 'm' pre...

Files:

  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
**/*.cu

📄 CodeRabbit inference engine (CODING_GUIDELINES.md)

CUDA code must be compiled with a CUDA compiler and includes declarations/definitions with CUDA keywords (__device__, __managed__, __constant__, __global__), device functions, and kernel launching with <<<...>>> syntax

Files:

  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
🧠 Learnings (19)
📓 Common learnings
Learnt from: CR
Repo: NVIDIA/TensorRT-LLM PR: 0
File: CODING_GUIDELINES.md:0-0
Timestamp: 2025-11-24T17:09:17.870Z
Learning: Applies to **/*.cu : CUDA code must be compiled with a CUDA compiler and includes declarations/definitions with CUDA keywords (`__device__`, `__managed__`, `__constant__`, `__global__`), device functions, and kernel launching with <<<...>>> syntax
Learnt from: nv-lschneider
Repo: NVIDIA/TensorRT-LLM PR: 7910
File: cpp/tensorrt_llm/kernels/nccl_device/config.cu:15-17
Timestamp: 2025-09-23T15:01:00.070Z
Learning: In TensorRT-LLM NCCL device kernels, the <sstream> header is not needed as an explicit include in config.cu because it's provided transitively through other headers. Local compilation testing confirms this works without the explicit include.
Learnt from: sklevtsov-nvidia
Repo: NVIDIA/TensorRT-LLM PR: 3294
File: cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu:1198-1209
Timestamp: 2025-08-08T22:03:40.707Z
Learning: In the CUTLASS MoE kernels (cpp/tensorrt_llm/cutlass_extensions), when `layout_info.fusion` is set to `TmaWarpSpecializedGroupedGemmInput::EpilogueFusion::FINALIZE`, the `router_scales` parameter must be non-null by design. The fused finalize kernel epilogue does not perform nullptr checks and requires valid router scales to function correctly. This is an implicit contract that callers must satisfy when enabling the FINALIZE fusion mode.
📚 Learning: 2025-08-19T12:45:11.997Z
Learnt from: amitz-nv
Repo: NVIDIA/TensorRT-LLM PR: 7033
File: tensorrt_llm/_torch/pyexecutor/model_engine.py:0-0
Timestamp: 2025-08-19T12:45:11.997Z
Learning: In tensorrt_llm/_torch/pyexecutor/model_engine.py, DoRA (Delta Orthogonal Rank Adaptation) functionality was removed from the PyTorch flow to eliminate issues with inverted DoRA detection logic. The original is_dora condition was checking if scaling_vec_pointer == 0, which was potentially incorrect.

Applied to files:

  • tensorrt_llm/_torch/pyexecutor/model_engine.py
📚 Learning: 2025-08-18T08:42:02.640Z
Learnt from: samuellees
Repo: NVIDIA/TensorRT-LLM PR: 6974
File: tensorrt_llm/serve/scripts/benchmark_dataset.py:558-566
Timestamp: 2025-08-18T08:42:02.640Z
Learning: In TensorRT-LLM's RandomDataset (tensorrt_llm/serve/scripts/benchmark_dataset.py), when using --random-token-ids option, sequence length accuracy is prioritized over semantic correctness for benchmarking purposes. The encode/decode operations should use skip_special_tokens=True and add_special_tokens=False to ensure exact target token lengths.

Applied to files:

  • tensorrt_llm/_torch/pyexecutor/model_engine.py
📚 Learning: 2025-08-22T01:54:35.850Z
Learnt from: djns99
Repo: NVIDIA/TensorRT-LLM PR: 7104
File: cpp/tensorrt_llm/kernels/cutlass_kernels/include/moe_kernels.h:999-1000
Timestamp: 2025-08-22T01:54:35.850Z
Learning: The `internal_cutlass_kernels` directory in TensorRT-LLM is a mirror of an internal NVIDIA repository and maintains its own implementation and API that may diverge from the public `cutlass_kernels` version. API inconsistencies between these two directories are intentional and by design, not bugs to be fixed.

Applied to files:

  • cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt
📚 Learning: 2025-08-21T21:48:35.135Z
Learnt from: djns99
Repo: NVIDIA/TensorRT-LLM PR: 7104
File: cpp/tensorrt_llm/cutlass_extensions/include/cutlass_extensions/epilogue/fusion/sm90_visitor_scatter.hpp:399-417
Timestamp: 2025-08-21T21:48:35.135Z
Learning: CUTLASS extensions in TensorRT-LLM (located under cpp/tensorrt_llm/cutlass_extensions/) are designed to integrate with and extend functionality in the external CUTLASS repository. When analyzing these extensions, their consumers and functionality wiring may exist in the CUTLASS codebase rather than within TensorRT-LLM itself.

Applied to files:

  • cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt
📚 Learning: 2025-08-08T05:06:31.596Z
Learnt from: sklevtsov-nvidia
Repo: NVIDIA/TensorRT-LLM PR: 3294
File: cpp/tensorrt_llm/cutlass_extensions/include/cutlass_extensions/epilogue/fusion/sm90_visitor_scatter.hpp:36-36
Timestamp: 2025-08-08T05:06:31.596Z
Learning: CUTLASS extension files (under cpp/tensorrt_llm/cutlass_extensions/) follow CUTLASS coding style conventions, including using #pragma once instead of TRTLLM_ prefixed header guards, even though they are .hpp files.

Applied to files:

  • cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt
📚 Learning: 2025-11-14T11:22:03.729Z
Learnt from: nzmora-nvidia
Repo: NVIDIA/TensorRT-LLM PR: 9163
File: tensorrt_llm/_torch/auto_deploy/custom_ops/quant.py:107-113
Timestamp: 2025-11-14T11:22:03.729Z
Learning: In TensorRT-LLM AutoDeploy custom ops, when adding hardware capability checks to select between kernel implementations (e.g., cuBLAS vs. CUDA kernel), use descriptive variable names that identify the specific GPU architectures or families being targeted (e.g., `is_blackwell_geforce_or_ada`) rather than generic names like `enable_cuda_core`. This makes it clear that the code is selecting an implementation path based on hardware capabilities, not enabling/disabling hardware features.

Applied to files:

  • cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt
  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
📚 Learning: 2025-09-23T15:01:00.070Z
Learnt from: nv-lschneider
Repo: NVIDIA/TensorRT-LLM PR: 7910
File: cpp/tensorrt_llm/kernels/nccl_device/config.cu:15-17
Timestamp: 2025-09-23T15:01:00.070Z
Learning: In TensorRT-LLM NCCL device kernels, the <sstream> header is not needed as an explicit include in config.cu because it's provided transitively through other headers. Local compilation testing confirms this works without the explicit include.

Applied to files:

  • cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt
  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
📚 Learning: 2025-11-24T17:09:17.870Z
Learnt from: CR
Repo: NVIDIA/TensorRT-LLM PR: 0
File: CODING_GUIDELINES.md:0-0
Timestamp: 2025-11-24T17:09:17.870Z
Learning: Applies to **/*.cu : CUDA code must be compiled with a CUDA compiler and includes declarations/definitions with CUDA keywords (`__device__`, `__managed__`, `__constant__`, `__global__`), device functions, and kernel launching with <<<...>>> syntax

Applied to files:

  • cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt
📚 Learning: 2025-09-23T15:13:48.819Z
Learnt from: nv-lschneider
Repo: NVIDIA/TensorRT-LLM PR: 7910
File: cpp/tensorrt_llm/kernels/nccl_device/multimem.h:20-30
Timestamp: 2025-09-23T15:13:48.819Z
Learning: TRT-LLM targets modern CUDA toolkits that support FP8 datatypes, so cuda_fp8.h can be included unconditionally without version guards in TRT-LLM code.

Applied to files:

  • cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt
📚 Learning: 2025-08-08T22:03:40.707Z
Learnt from: sklevtsov-nvidia
Repo: NVIDIA/TensorRT-LLM PR: 3294
File: cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu:1198-1209
Timestamp: 2025-08-08T22:03:40.707Z
Learning: In the CUTLASS MoE kernels (cpp/tensorrt_llm/cutlass_extensions), when `layout_info.fusion` is set to `TmaWarpSpecializedGroupedGemmInput::EpilogueFusion::FINALIZE`, the `router_scales` parameter must be non-null by design. The fused finalize kernel epilogue does not perform nullptr checks and requires valid router scales to function correctly. This is an implicit contract that callers must satisfy when enabling the FINALIZE fusion mode.

Applied to files:

  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
📚 Learning: 2025-09-19T21:28:13.751Z
Learnt from: jhaotingc
Repo: NVIDIA/TensorRT-LLM PR: 7856
File: cpp/tensorrt_llm/thop/fp8BlockScaleMoe.cpp:159-166
Timestamp: 2025-09-19T21:28:13.751Z
Learning: In TensorRT-LLM blockScaleMoe routing (cpp/tensorrt_llm/kernels/trtllmGenKernels/blockScaleMoe/runner.cu), the DeepSeek routing method performs reinterpret_cast<float*>(routingLogits) at line 89, which could cause issues if routing_logits are BF16. However, Qwen3-FP8 models use RenormalizeNaive routing method and are not affected by this dtype casting issue.

Applied to files:

  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
📚 Learning: 2025-09-23T14:58:05.372Z
Learnt from: nv-lschneider
Repo: NVIDIA/TensorRT-LLM PR: 7910
File: cpp/tensorrt_llm/kernels/nccl_device/config.cu:42-49
Timestamp: 2025-09-23T14:58:05.372Z
Learning: In TensorRT-LLM NCCL device kernels (cpp/tensorrt_llm/kernels/nccl_device/), the token partitioning intentionally uses ceil-like distribution (same token_per_rank for all ranks) to ensure all ranks launch the same number of blocks. This is required for optimal NCCL device API barrier performance, even though it may launch extra blocks for non-existent tokens on later ranks. Runtime bounds checking in the kernel (blockID validation) handles the overshoot cases.

Applied to files:

  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
📚 Learning: 2025-08-21T02:39:12.009Z
Learnt from: djns99
Repo: NVIDIA/TensorRT-LLM PR: 7104
File: cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu:1475-1480
Timestamp: 2025-08-21T02:39:12.009Z
Learning: The min latency mode functionality in TensorRT-LLM MOE kernels (cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu) is deprecated and no longer being maintained/updated, as confirmed by djns99. Bug reports and optimization suggestions for the computeStridesTmaWarpSpecializedLowLatencyKernel and related min latency code paths should be deprioritized.

Applied to files:

  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
📚 Learning: 2025-08-19T03:35:20.866Z
Learnt from: djns99
Repo: NVIDIA/TensorRT-LLM PR: 6915
File: cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu:4616-4626
Timestamp: 2025-08-19T03:35:20.866Z
Learning: In the MOE profiler TMA workspace preparation (cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu), the overlapping of TMA WS regions for NONE and FINALIZE variants is deliberate design to save memory space, as confirmed by djns99. The comment "reuse the same pointers to save space" reflects this intentional behavior.

Applied to files:

  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
📚 Learning: 2025-08-09T20:57:04.084Z
Learnt from: sklevtsov-nvidia
Repo: NVIDIA/TensorRT-LLM PR: 3294
File: cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_gemm_tma_warp_specialized_input.cu:118-127
Timestamp: 2025-08-09T20:57:04.084Z
Learning: In the CUTLASS MoE finalize fusion implementation (cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_gemm_tma_warp_specialized_input.cu), when setting `fused_finalize_epilogue.stride_final_output` with shape `(hidden_size, num_output_tokens, 1)`, the `num_rows_in_final_output` should be set to `num_output_tokens` (not `hidden_size`) because of a swap+transpose operation that maps rows of the output tensor to `hidden_size` and columns to `num_output_tokens`.

Applied to files:

  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
📚 Learning: 2025-08-14T23:23:27.449Z
Learnt from: djns99
Repo: NVIDIA/TensorRT-LLM PR: 6915
File: cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu:4010-4012
Timestamp: 2025-08-14T23:23:27.449Z
Learning: For MOE (Mixture of Experts) code reviews in TensorRT-LLM, avoid repeatedly suggesting finalize fusion validation checks and safety assertions. The user djns99 has indicated these suggestions are repetitive and unwanted across multiple MOE-related changes.

Applied to files:

  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
📚 Learning: 2025-09-23T15:01:00.070Z
Learnt from: nv-lschneider
Repo: NVIDIA/TensorRT-LLM PR: 7910
File: cpp/tensorrt_llm/kernels/nccl_device/config.cu:15-17
Timestamp: 2025-09-23T15:01:00.070Z
Learning: In TensorRT-LLM NCCL device kernels (cpp/tensorrt_llm/kernels/nccl_device/config.cu), std::ostringstream is used but <sstream> doesn't need to be explicitly included because it's provided transitively through other headers like tensorrt_llm/common/cudaUtils.h or config.h. Local compilation testing confirms this works without the explicit include.

Applied to files:

  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
📚 Learning: 2025-08-15T06:46:54.897Z
Learnt from: eopXD
Repo: NVIDIA/TensorRT-LLM PR: 6767
File: cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp:0-0
Timestamp: 2025-08-15T06:46:54.897Z
Learning: In cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp addToken function, newly allocated blocks are unshared by design. The beam search path in addToken (when sequence.getNumTokens() > windowSize) is currently broken/non-functional with SWA, so the block allocation doesn't follow a shared-then-unshared pattern.

Applied to files:

  • cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu
🧬 Code graph analysis (1)
tensorrt_llm/_torch/pyexecutor/model_engine.py (2)
tensorrt_llm/_torch/auto_deploy/custom_ops/attention_interface.py (1)
  • total_num_tokens (352-353)
tests/unittest/_torch/modeling/test_modeling_out_of_tree.py (1)
  • max_num_tokens (63-66)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
  • GitHub Check: Pre-commit Check
🔇 Additional comments (7)
tensorrt_llm/_torch/pyexecutor/model_engine.py (1)

1706-1711: Clarified assertion message for token-capacity check

Including total_num_tokens and max_num_tokens in the assertion message makes capacity violations much easier to debug while preserving the original condition. No functional change, just better observability.

cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt (2)

66-72: Enabling CUTLASS GDC for SM90 via compile options looks correct

The CUTLASS_ENABLE_GDC_FOR_SM90 define is gated on both enable_hopper and SM90 being present in CMAKE_CUDA_ARCHITECTURES_ORIG, matching the existing Hopper checks. This should scope GDC enablement to the intended Hopper paths without affecting other architectures.


76-85: SM100+ GDC flag is consistently wired to Blackwell architectures

CUTLASS_ENABLE_GDC_FOR_SM100 is enabled only when enable_blackwell is true and at least one of SM100/103/120/121 is requested, aligning with the surrounding COMPILE_BLACKWELL_* definitions and keeping the control localized to Blackwell builds.

cpp/tensorrt_llm/kernels/customMoeRoutingKernels.cu (2)

123-126: LGTM: Correct PDL synchronization before token processing.

The cudaGridDependencySynchronize() call ensures all prior dependent work completes before this kernel begins processing tokens. The architecture guard __CUDA_ARCH__ >= 900 correctly limits this to Hopper+ GPUs where PDL is supported.


176-179: LGTM: Correct PDL completion signal after token processing.

The cudaTriggerProgrammaticLaunchCompletion() call correctly signals completion of this kernel's work for dependent launch coordination. This pairs appropriately with the earlier cudaGridDependencySynchronize() to implement the PDL pattern.

examples/disaggregated/slurm/benchmark/disaggr_torch.slurm (1)

279-279: LGTM: Output directory argument added for accuracy evaluation.

The addition of "${full_logdir}/accuracy_eval" as the 6th argument correctly provides a dedicated output directory for storing accuracy evaluation results, aligning with the enhanced accuracy_eval.sh script.

examples/disaggregated/slurm/benchmark/accuracy_eval.sh (1)

10-10: LGTM: Output directory handling added for evaluation results.

The changes correctly implement output directory handling:

  • Captures output_dir as the 6th positional argument
  • Creates the directory with mkdir -p (safe for existing directories)
  • Passes it to lm_eval with --output_path and enables --log_samples for result persistence

The script's set -euo pipefail ensures proper error handling if the directory creation fails or if output_dir is unset.

Also applies to: 36-36, 40-40

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syuoni commented Nov 28, 2025

/bot run --disable-fail-fast

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PR_Github #26223 [ run ] triggered by Bot. Commit: 26735f9

Signed-off-by: Enwei Zhu <[email protected]>
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syuoni commented Nov 29, 2025

/bot run --disable-fail-fast

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PR_Github #26240 [ run ] triggered by Bot. Commit: 41fe57d

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PR_Github #26223 [ run ] completed with state ABORTED. Commit: 26735f9
/LLM/main/L0_MergeRequest_PR pipeline #19922 completed with status: 'FAILURE'

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PR_Github #26240 [ run ] completed with state SUCCESS. Commit: 41fe57d
/LLM/main/L0_MergeRequest_PR pipeline #19937 completed with status: 'FAILURE'

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syuoni commented Nov 29, 2025

/bot run --disable-fail-fast

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PR_Github #26262 [ run ] triggered by Bot. Commit: 41fe57d

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PR_Github #26262 [ run ] completed with state SUCCESS. Commit: 41fe57d
/LLM/main/L0_MergeRequest_PR pipeline #19957 completed with status: 'SUCCESS'
Pipeline passed with automatic retried tests. Check the rerun report for details.

@kaiyux kaiyux merged commit 34e2fa5 into NVIDIA:main Dec 1, 2025
5 checks passed
MinaHuai pushed a commit to davidmlw/TensorRT-LLM that referenced this pull request Dec 10, 2025
…VIDIA#8779)

The performance results of some kernels could be easily affected by the warm/cold L2 cache status. To achieve more precise profiling results, the L2 cache is cleared for every execution by the circular buffer method for better benchmarking during autotuning.

Signed-off-by: Yukun He <[email protected]>

[None][infra] Waive failed cases for main branch on 11/25 (NVIDIA#9429)

Signed-off-by: qqiao <[email protected]>

[NVIDIA#8391][chore] test_perf.py to lock clocks read from gpu_configs.yml instead of max freq (NVIDIA#9409)

Signed-off-by: Eran Geva <[email protected]>

[None][ci] Move more test stages to use OCI machines (NVIDIA#9395)

Signed-off-by: Yanchao Lu <[email protected]>
Co-authored-by: Matt Lefebvre <[email protected]>

[None][feat] Improve TRTLLM MoE in small hidden size throughput cases (NVIDIA#9377)

Signed-off-by: Anthony Chang <[email protected]>

[https://nvbugs/5537996][fix] Let KV cache manager block initialization be aware whether it is doing a dry run or not (NVIDIA#9093)

Before this commit, the kv cache manager does the same regardless, which causes a mis-calculation in free memory available to allocate for the KV cache manager, hence causing a crash.

This commit fixes this by letting KV cache manager initialization be aware whether it is doing the dry run or not. If it is a dry run, use the max_tokens setting that is already pre-calculated and filled into kv_cache_config.max_tokens.

Signed-off-by: eopXD <[email protected]>

[https://nvbugs/5667922][fix] Update long context evaluation config (NVIDIA#9426)

Signed-off-by: mni <[email protected]>

[None][fix] Mitigate test timeout issues (NVIDIA#9445)

Signed-off-by: Shixiaowei02 <[email protected]>

[None][chore] Fix trtllm-eval for PyTorchLLM (NVIDIA#9427)

Signed-off-by: Fanrong Li <[email protected]>

[None][feat] Add a parser to layer-wise benchmarks (NVIDIA#9440)

Signed-off-by: Tailing Yuan <[email protected]>

[None][feat] Support custom chat template for tool calling (NVIDIA#9297)

Signed-off-by: Pengyun Lin <[email protected]>

[TRTLLM-8160][feat] Add draft token tree runtime on CDL (NVIDIA#8586)

Signed-off-by: Yue Weng <[email protected]>

[None][ci] waive a test (NVIDIA#9458)

Signed-off-by: Yan Chunwei <[email protected]>

[https://nvbugs/5680905][fix] Relax the MMLU accuracy requirement for DS-v3.2 (NVIDIA#9439)

Signed-off-by: Fanrong Li <[email protected]>

[TRTLLM-8376][feat] top-p optimization (removes redundant softmax) (NVIDIA#9411)

Signed-off-by: ixlmar <[email protected]>

[TRTLLM-9490][feat] use FlashInfer's top_k_sampling_from_probs (NVIDIA#9457)

Signed-off-by: ixlmar <[email protected]>

[https://nvbugs/5647400] [fix] Enlarged the AllReduce workspace size to 64MB. Added AllReduce strategy to AD config. (NVIDIA#9145)

Signed-off-by: Eran Geva <[email protected]>

[TRTLLM-909][feat] Overlap context chunks in pipeline parallel mode (NVIDIA#9308)

Signed-off-by: Robin Kobus <[email protected]>

[None][chore] AutoDeploy add multi stream moe pass to default.yaml (NVIDIA#9430)

Signed-off-by: Suyog Gupta <[email protected]>

[https://nvbugs/5685143][fix] avoid cudaFree overlap with cuda graph (NVIDIA#9438)

Signed-off-by: Chuang Zhu <[email protected]>

[None][chore] Bump version to 1.2.0rc5 (NVIDIA#9455)

Signed-off-by: Yiqing Yan <[email protected]>

[TRTLLM-8936][test] Add disagg and wideep multi-node multi-gpu test cases (NVIDIA#9356)

Signed-off-by: FredricZ-2007 <[email protected]>

[None][ci] move some slow test cases of DGX-B200 to post merge (NVIDIA#9467)

Signed-off-by: junq <[email protected]>

[TRTLLM-9293][feat] Enable partial weight loading to support streaming update weights (NVIDIA#9224)

Signed-off-by: shuyix <[email protected]>

[None][infra] Check in most recent lock file from nightly pipeline

Signed-off-by: TensorRT LLM <[email protected]>

[TRTLLM-9264][fix] Add accuracy/unit tests/doc for phi4mm (NVIDIA#9246)

Signed-off-by: Wanli Jiang <[email protected]>

[https://nvbugs/5580099][fix] Cherry pick IMA issue fix from release/1.1 (NVIDIA#9032)

Signed-off-by: Junyi Xu <[email protected]>

[None][chore] Upgrade CuteDSL to 4.3.0 (NVIDIA#9444)

Signed-off-by: Enwei Zhu <[email protected]>

[None][feat] Support MLA chunked prefill for DeepSeek V3.2 model (NVIDIA#9376)

Signed-off-by: Chang Liu (Enterprise Products) <[email protected]>

[None][feat] Add environment variable to force spec-dec number of accepted tokens (NVIDIA#9371)

Signed-off-by: Aurelien Chartier <[email protected]>

[None][infra] Update allowed list 2025.11.25 (NVIDIA#9468)

Signed-off-by: Yuanjing Xue <[email protected]>

[None][infra] Fail the pipeline when slurm ssh dropped (NVIDIA#9157)

Signed-off-by: Yuanjing Xue <[email protected]>

[None][feat] AutoDeploy: Remove redundant copies in mamba layers (NVIDIA#9461)

Signed-off-by: Chenghao Zhang <[email protected]>
Co-authored-by: Suyog Gupta <[email protected]>

[None][feat] AutoDeploy: Add A_log fusion for Mamba layers (NVIDIA#9422)

Signed-off-by: Chenghao Zhang <[email protected]>

[None][ci] Waive blackwell test on spec gate. (NVIDIA#9502)

Signed-off-by: Zheyu Fu <[email protected]>

[https://nvbugs/5608930][fix] Fix a typo (NVIDIA#9487)

Signed-off-by: Shixiaowei02 <[email protected]>

[NVIDIA#9463][feat] Add revision option to trtllm commands (NVIDIA#9498)

Signed-off-by: Aurelien Chartier <[email protected]>

[TRTLLM-9085][doc] fix math formula rendering issues (NVIDIA#9481)

Signed-off-by: junq <[email protected]>

[None][chore] update comments in llm_args.py (NVIDIA#9472)

Signed-off-by: junq <[email protected]>

[None][infra] Check in most recent lock file from nightly pipeline

Signed-off-by: TensorRT LLM <[email protected]>

[https://nvbugs/5680310][fix] Fix ctx only timed out test (NVIDIA#9410)

Signed-off-by: Patrice Castonguay <[email protected]>

[https://nvbugs/5547414][fix] enable case after using local cache model (NVIDIA#9473)

Signed-off-by: Hui Gao <[email protected]>

[None][fix] Replace PYTORCH_CUDA_ALLOC_CONF with PYTORCH_ALLOC_CONF to fix deprecation warning (NVIDIA#9294)

Signed-off-by: Jiagan Cheng <[email protected]>

[https://nvbugs/5698581][fix] Init draft tokens for CUDA graph dummy request (NVIDIA#9505)

Signed-off-by: ziyixiong-nv <[email protected]>

[None][infra] Waive failed case in pre-merge on 11/27 (NVIDIA#9507)

Signed-off-by: qqiao <[email protected]>

[TRTLLM-9513][docs] Qwen3 deployment guide (NVIDIA#9488)

Signed-off-by: Lanyu Liao <[email protected]>
Co-authored-by: Lanyu Liao <[email protected]>

[None][chore] revert batch_size=1 to prevent timeout and lower accuracy reference by 0.12% as a WAR (NVIDIA#9447)

Signed-off-by: Lizhi Zhou <[email protected]>
Co-authored-by: Shi Xiaowei <[email protected]>

[TRTLLM-9279][infra] Use flexcache for gh200 nodes since they locate in Austin (NVIDIA#9405)

Signed-off-by: qqiao <[email protected]>
Signed-off-by: Emma Qiao <[email protected]>
Co-authored-by: Yanchao Lu <[email protected]>

[cherry-pick][https://nvbugs/5670793][fix] Solve trtllm-serve launch_disaggregated issue (NVIDIA#9346)

Signed-off-by: xxi <[email protected]>

[None][infra] Fix Slurm job script (NVIDIA#9508)

Signed-off-by: Yuanjing Xue <[email protected]>

[None][fix] change allreduce workspace dtype to torch.int64 to avoid overflow (NVIDIA#9479)

Signed-off-by: Zhenhuan Chen <[email protected]>

[None][feat] add qwen3-next CI test of accuracy on BF16 and NVFP4 (NVIDIA#9330)

Signed-off-by: jiant <[email protected]>

[None][fix] fix TP support for DeepSeek-V3.2 on hopper (NVIDIA#9484)

Signed-off-by: Fanrong Li <[email protected]>

[TRTLLM-9389][chore] Refactor AlltoallMethodType. (NVIDIA#9388)

Signed-off-by: Bo Li <[email protected]>

[https://nvbugs/5674665][chore] Add test coverage for https://nvbugspro.nvidia.com/bug/5674665 (NVIDIA#9518)

Signed-off-by: eopXD <[email protected]>

[TRTLLM-7288][infra] Download merged waive list in slurm script (NVIDIA#8999)

Signed-off-by: Yiqing Yan <[email protected]>
Signed-off-by: Yanchao Lu <[email protected]>
Co-authored-by: Yanchao Lu <[email protected]>

[https://nvbugs/5687820][fix] Remove self.abort() in DetokenizedGenerationResult (NVIDIA#9449)

Signed-off-by: Enwei Zhu <[email protected]>

[NVIDIA#9150][feat] AutoDeploy Nemotron-Flash support (NVIDIA#9504)

Signed-off-by: Lucas Liebenwein <[email protected]>

[None] [chore] Update to cutlass 4.3 (NVIDIA#8637)

Signed-off-by: Kaiyu Xie <[email protected]>

[https://nvbugs/5637037][chore] Update waive lists. (NVIDIA#9386)

Signed-off-by: Bo Li <[email protected]>
Signed-off-by: Enwei Zhu <[email protected]>
Co-authored-by: Enwei Zhu <[email protected]>

[None][infra] Check in most recent lock file from nightly pipeline

Signed-off-by: TensorRT LLM <[email protected]>

[TRTLLM-8970][infra] Fix generate report when has isolation test result (NVIDIA#8861)

Signed-off-by: qqiao <[email protected]>
Signed-off-by: Emma Qiao <[email protected]>

[https://nvbugs/5685015][fix] Update invalid max_token test (NVIDIA#9435)

Signed-off-by: Junyi Xu <[email protected]>

[None][fix] Fix on-disk cache and revise logger/statistics for AutoTuner. (NVIDIA#9211)

Signed-off-by: Yukun He <[email protected]>

[https://nvbugs/5689658][test] Fix gpu lock issue running on cluster (NVIDIA#9441)

Signed-off-by: yufeiwu <[email protected]>

[None][chore] add spec_decoding configs in perf benchmark scripts and fix typos (NVIDIA#9533)

Signed-off-by: Lanyu Liao <[email protected]>
Co-authored-by: Lanyu Liao <[email protected]>

[None][fix] Remove FP8 K/V buffer from TRTLLM sparse MLA attention kernel (NVIDIA#9529)

Signed-off-by: Chang Liu (Enterprise Products) <[email protected]>

[None] [chore] Enhancements and clean up to slurm scripts (NVIDIA#9493)

Signed-off-by: Kaiyu Xie <[email protected]>

[None][chore] Revert "[None][fix] change allreduce workspace dtype to torch.int64 t… (NVIDIA#9538)

Signed-off-by: Zhenhuan Chen <[email protected]>

[None][infra] Waive failed cases for main branch on 11/28 (NVIDIA#9539)

Signed-off-by: qqiao <[email protected]>

[None][fix] Pass checkpoint_format to create_input_processor (NVIDIA#9521)

Signed-off-by: Robin Kobus <[email protected]>

[TRTLLM-9541][infra] Use artifactory mirror for download.pytorch.org (NVIDIA#9477)

Signed-off-by: ZhanruiSunCh <[email protected]>
Signed-off-by: Zhanrui Sun <[email protected]>
Co-authored-by: Yanchao Lu <[email protected]>

[TRTLLM-9488][feat] add 'disable_flashinfer_sampling' config option (NVIDIA#9454)

Signed-off-by: ixlmar <[email protected]>

[None][infra] Waive failed case in pre-merge on 11/28 (NVIDIA#9537)

Signed-off-by: Wangshanshan <[email protected]>

[None][perf] Helix: improve all-to-all perf for large CP size (NVIDIA#9494)

Signed-off-by: Matthias Jouanneaux <[email protected]>
Signed-off-by: Zheyu Fu <[email protected]>
Co-authored-by: Zheyu Fu <[email protected]>

[None][feat] support for more accurate AR calculation (NVIDIA#9323)

Signed-off-by: binghanc <[email protected]>

[TRTLLM-9488][fix] llmapi references (NVIDIA#9547)

Signed-off-by: ixlmar <[email protected]>

[NVIDIA#8948][feat] Support custom sharding config (NVIDIA#9143)

Signed-off-by: greg-kwasniewski1 <[email protected]>

[None][infra] Check in most recent lock file from nightly pipeline

Signed-off-by: TensorRT LLM <[email protected]>

[None][chore] Weekly mass integration of release/1.1 -- rebase (NVIDIA#9522)

Signed-off-by: yunruis <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>
Signed-off-by: Wangshanshan <[email protected]>
Signed-off-by: qgai <[email protected]>
Signed-off-by: Balaram Buddharaju <[email protected]>
Signed-off-by: Yan Chunwei <[email protected]>
Signed-off-by: Junyi Xu <[email protected]>
Signed-off-by: Simeng Liu <[email protected]>
Signed-off-by: nv-guomingz <[email protected]>
Signed-off-by: Jin Li <[email protected]>
Signed-off-by: Ivy Zhang <[email protected]>
Signed-off-by: Vincent Zhang <[email protected]>
Signed-off-by: peaceh <[email protected]>
Signed-off-by: Michal Guzek <[email protected]>
Signed-off-by: Michal Guzek <[email protected]>
Signed-off-by: Chang Liu (Enterprise Products) <[email protected]>
Signed-off-by: leslie-fang25 <[email protected]>
Signed-off-by: Shunkang <[email protected]>
Signed-off-by: junq <[email protected]>
Co-authored-by: yunruis <[email protected]>
Co-authored-by: sunnyqgg <[email protected]>
Co-authored-by: brb-nv <[email protected]>
Co-authored-by: Yan Chunwei <[email protected]>
Co-authored-by: JunyiXu-nv <[email protected]>
Co-authored-by: Simeng Liu <[email protected]>
Co-authored-by: Guoming Zhang <[email protected]>
Co-authored-by: Jin Li <[email protected]>
Co-authored-by: Ivy Zhang <[email protected]>
Co-authored-by: Vincent Zhang <[email protected]>
Co-authored-by: peaceh-nv <[email protected]>
Co-authored-by: Michal Guzek <[email protected]>
Co-authored-by: Chang Liu <[email protected]>
Co-authored-by: Leslie Fang <[email protected]>
Co-authored-by: Shunkangz <[email protected]>
Co-authored-by: Shunkang <[email protected]>
Co-authored-by: QI JUN <[email protected]>

[TRTLLM-5971][feat] Integrate helix parallelism (NVIDIA#9342)

Signed-off-by: Balaram Buddharaju <[email protected]>

[None][infra] Check in most recent lock file from nightly pipeline

Signed-off-by: TensorRT LLM <[email protected]>

[None][infra] - Request idle time exemption for OCI jobs (NVIDIA#9528)

Signed-off-by: Yanchao Lu <[email protected]>

[None][infra] Wiave failed tests for main branch on 11/30 (NVIDIA#9555)

Signed-off-by: qqiao <[email protected]>

[None][fix] Fix port conflict in disagg tests (NVIDIA#9474)

Signed-off-by: Junyi Xu <[email protected]>

[None][ci] Split H100_PCIe-PyTorch-Post-Merge test stage (NVIDIA#9558)

Signed-off-by: Yanchao Lu <[email protected]>

[None][ci] Split H100_PCIe-PyTorch-Post-Merge test stage (NVIDIA#9559)

Signed-off-by: Yanchao Lu <[email protected]>

[TRTLLM-8958][feat] and [TRTLLM-8960]: create ConfigurableMoE and support TRTLLMGenFusedMoE as backend (NVIDIA#9486)

[None] [feat] Optimize the algorithm part of RocketKV (NVIDIA#9333)

Signed-off-by: yuhangh <[email protected]>

[https://nvbugs/5690172][fix] Fix Qwen3-235B ATP accuracy issue with PDL (NVIDIA#9530)

Signed-off-by: Enwei Zhu <[email protected]>

[TRTLLM-6222][feat] Extend cute_dsl_nvfp4_gemm to sm103. (NVIDIA#9543)

Signed-off-by: Mindy Li <[email protected]>

[None][fix] Correct virtual memory allocation alignment (NVIDIA#9491)

Signed-off-by: Yuan Tong <[email protected]>

[None][infra] Check in most recent lock file from nightly pipeline

Signed-off-by: TensorRT LLM <[email protected]>

[https://nvbugs/5684703][fix] Unwaive disagg guided decoding test (NVIDIA#9466)

Signed-off-by: Enwei Zhu <[email protected]>

[https://nvbugs/5503479][fix] Temporarily lower reference accuracy to stabilize CI (NVIDIA#9398)

Signed-off-by: Pengbo Wang <[email protected]>

[None][chore] remove qwen3-next accuracy tests (NVIDIA#9534)

Signed-off-by: jiant <[email protected]>

[None][doc] fix mtp.py typo (NVIDIA#9307)

Signed-off-by: liugaoji <[email protected]>

[None][feat] add chat template kwargs support to longbench-v2 (NVIDIA#9544)

Signed-off-by: Fanrong Li <[email protected]>

[NVIDIA#9496][fix] AutoDeploy: remove auto-tuner from nvfp4_gemm forward (NVIDIA#9497)

Signed-off-by: Neta Zmora <[email protected]>

[None][fix] Replace hash method with unique_id for cutedsl MoE runners. (NVIDIA#9569)

Signed-off-by: Yukun He <[email protected]>

[None][chore] refactor disaggregated scripts to use named arguments (NVIDIA#9581)

Signed-off-by: Zhenhuan Chen <[email protected]>

[TRTLLM-6222][feat] Several perf opt for cuteDSL nvf4 gemm (NVIDIA#9428)

Signed-off-by: Yuhan Li <[email protected]>

[None][chore] reduce the layers of the `devel` docker image (NVIDIA#9077)

Signed-off-by: Martin Marciniszyn Mehringer <[email protected]>

[https://nvbugs/5651854][infra] Enable perf metrics during accuracy testing (NVIDIA#9140)

[None][fix] Skip Allreduce init for Attention DP (NVIDIA#9542)

Signed-off-by: Enwei Zhu <[email protected]>

[None][test] [None][test] Waive main branch test failures 12/1 (NVIDIA#9566)

Signed-off-by: Yanchao Lu <[email protected]>

[None][ci] Minor change for Slurm scripts (NVIDIA#9561)

Signed-off-by: Yanchao Lu <[email protected]>

[TRTLLM-6768][infra] Fix params for not updating github status (NVIDIA#6747)

Signed-off-by: Yiqing Yan <[email protected]>

[None][infra] Update the pytest options after MI (NVIDIA#9579)

Signed-off-by: qqiao <[email protected]>

[TRTLLM-6756][feat] Add Beam Search to TorchSampler (NVIDIA#8509)

Signed-off-by: Stefan Niebler <[email protected]>

[None][chore] Defer exposing context parallel configs (NVIDIA#9552)

Signed-off-by: Balaram Buddharaju <[email protected]>

[TRTC-1943][feat] Env vars override support in LLM API (NVIDIA#9104)

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

[None][feat] AutoDeploy: Use the router gemm op for nemotron MOE (NVIDIA#9500)

Signed-off-by: Chenghao Zhang <[email protected]>

[NVIDIA#9198][feat] Refactor dist ops in AutoDeploy (NVIDIA#9301)

Signed-off-by: Eran Geva <[email protected]>

[None][fix] Prevent YAML partial kv_cache_config from incorrectly overriding the complete kv_cache_config (NVIDIA#9262)

Signed-off-by: Yuening Li <[email protected]>

[TRTLLM-9085][doc] fix math formula rendering issues in github (NVIDIA#9605)

Signed-off-by: junq <[email protected]>

[None][feat] Unify nvfp4 gemm backend (NVIDIA#8963)

Signed-off-by: Shijie Wang <[email protected]>
Signed-off-by: Yukun He <[email protected]>
Signed-off-by: Shijie <[email protected]>
Co-authored-by: Yukun He <[email protected]>

[None][feat] Add support for KVCache reuse for DSv32 (NVIDIA#9383)

Signed-off-by: Iman Tabrizian <[email protected]>

[None][infra] Check in most recent lock file from nightly pipeline

Signed-off-by: TensorRT LLM <[email protected]>

[None][chroe] Polish qwen3-next modeling code. (NVIDIA#8902)

Signed-off-by: nv-guomingz <[email protected]>

[https://nvbugs/5703953][fix] Use random port for disagg tests (NVIDIA#9582)

Signed-off-by: Junyi Xu <[email protected]>

[None][fix] Waive gb200 (NVIDIA#9580)

Signed-off-by: Xin He (SW-GPU) <[email protected]>

[FMDL-1328][feat] Add support for nano-v3 and super-v3 with pytorch backend (NVIDIA#9261)

Signed-off-by: Wanli Jiang <[email protected]>

[https://nvbugs/5582091][test] increase warmup times in testing for multi-gpu cases (NVIDIA#9578)

Signed-off-by: Ruodi Lu <[email protected]>
Co-authored-by: Ruodi Lu <[email protected]>

[None][chore] Add failed cases into waives.txt (NVIDIA#9588)

Signed-off-by: xinhe-nv <[email protected]>

[https://nvbugs/5702793][fix] Fix uncontiguous tensor view (NVIDIA#9576)

Signed-off-by: shuyix <[email protected]>

[None][infra] Waive failed cases for main branch (NVIDIA#9615)

Signed-off-by: qqiao <[email protected]>

[TRTLLM-9488][feat] use FlashInfer.sampling by default (NVIDIA#9545)

Signed-off-by: ixlmar <[email protected]>

[None][infra] Update allowlist 2025/12/01 (NVIDIA#9616)

Signed-off-by: Yuanjing Xue <[email protected]>

[None][infra] Remove an invalid test name in waives.txt (NVIDIA#9620)

Signed-off-by: qqiao <[email protected]>

Lock the gpu clocks in L0 perf tests (NVIDIA#9585)

Signed-off-by: Eran Geva <[email protected]>

[TRTLLM-9466][test] Evaluate helix parallelism with DSV3 Lite (NVIDIA#9597)

Signed-off-by: Balaram Buddharaju <[email protected]>

[None][fix] Extract GPU count from single-node stage names (NVIDIA#9599)

Signed-off-by: Chang Liu (Enterprise Products) <[email protected]>

[https://nvbugs/5667774][fix] Refine Piecewise Cuda Graph Condition for DP (NVIDIA#9393)

Signed-off-by: Jin Li <[email protected]>

[TRTLLM-9144][fix] enhance RPC robustness (NVIDIA#8711)

Signed-off-by: Superjomn <[email protected]>
Signed-off-by: Erin Ho <[email protected]>
Signed-off-by: Yan Chunwei <[email protected]>
Co-authored-by: Erin Ho <[email protected]>

[https://nvbugs/5627710][fix] Fix synchronization bugs in KvCacheTransferManager that can cause corrupted blocks (NVIDIA#9056)

Signed-off-by: thorjohnsen <[email protected]>
Signed-off-by: Thor Johnsen <[email protected]>
Co-authored-by: Iman Tabrizian <[email protected]>
Co-authored-by: Robin Kobus <[email protected]>

[TRTLLM-8980][test] Clean up spec dec tests in test_llm_api_pytorch (NVIDIA#8889)

Signed-off-by: Mike Iovine <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>

[NVIDIA#9150][feat] Add code for nano v3 to custom implementation in AD (NVIDIA#9465)

* Why?

We would like to show an alternative to monkey-patching in AutoDeploy.

* What?

This commit builds on the existing custom model implementation for
NemotronH and adds the bits relevant for MoE layers.

Part of NVIDIA#9150.

Signed-off-by: William Zhang <[email protected]>

[NVIDIA#9150][feat] AutoDeploy: reviewer comments for NVIDIA#9150 (NVIDIA#9527)

Signed-off-by: Lucas Liebenwein <[email protected]>

[https://nvbugs/5651854][fix] Fix dist-serving perf by clearing CPU affinity (NVIDIA#9549)

Signed-off-by: Shixiaowei02 <[email protected]>

[NVIDIA#9550][feat] AutoDeploy: Add NVFP4 Cutlass MoE kernels  (NVIDIA#9551)

Signed-off-by: Neta Zmora <[email protected]>

[https://nvbugs/5688388][fix] fix: Reducing num request in disagg test to speed up (NVIDIA#9598)

Signed-off-by: Patrice Castonguay <[email protected]>

[TRTLLM-8946][feat] Improved heuristics to detect shardable regions (NVIDIA#9200)

Signed-off-by: Lucas Liebenwein <[email protected]>
Signed-off-by: greg-kwasniewski1 <[email protected]>
Co-authored-by: Lucas Liebenwein <[email protected]>

[NVIDIA#9632][feat] Support EXTRA_WHEEL_BUILD_ARGS during wheel build (NVIDIA#9633)

Signed-off-by: Yu Chi Li <[email protected]>

[None][chore] Waive test failing on pre-merge (NVIDIA#9638)

Signed-off-by: Balaram Buddharaju <[email protected]>

[None][chore] Remove traceback dump for multimodal input processor (NVIDIA#9634)

Signed-off-by: Chang Liu (Enterprise Products) <[email protected]>

[None][chore] Fix trtllm-eval and move GroupedGemmInputsHelper (NVIDIA#9612)

Signed-off-by: Enwei Zhu <[email protected]>

[https://nvbugs/5698434][fix] Use separate weight mapper for draft (NVIDIA#9607)

Signed-off-by: Anurag Mukkara <[email protected]>

[TRTLLM-7101][infra] Reuse passed tests (NVIDIA#6894)

Signed-off-by: Yiqing Yan <[email protected]>
Co-authored-by: Yanchao Lu <[email protected]>

[None][test] Remove duplicate test cases (NVIDIA#9623)

Signed-off-by: yufeiwu <[email protected]>

[None][infra] Check in most recent lock file from nightly pipeline

Signed-off-by: TensorRT LLM <[email protected]>

[None][feat] Add RocketKV usage doc and e2e accuracy test on LongBenchV2 (NVIDIA#9572)

Signed-off-by: yuhangh <[email protected]>

[TRTLLM-9242][doc] Add examples showcasing openai compatible APIs (NVIDIA#9520)

Signed-off-by: Junyi Xu <[email protected]>

[None][chore] AutoDeploy update cuda stream manager for multi-device (NVIDIA#9575)

Signed-off-by: Suyog Gupta <[email protected]>

[TRTLLM-9391][chore] Automatically estimate required workspace. (NVIDIA#9535)

Signed-off-by: Bo Li <[email protected]>

[https://nvbugs/5708475][fix] Fix e2e eval accuracy for helix parallelism (NVIDIA#9647)

Signed-off-by: Balaram Buddharaju <[email protected]>

[https://nvbugs/5561153][test] Fix log error for perf test (NVIDIA#9622)

Signed-off-by: FredricZ-2007 <[email protected]>

[TRTLLM-8241][feat] Aliasing to comply to LlmArgs (NVIDIA#9586)

Signed-off-by: Pengyun Lin <[email protected]>

[None][chore] Add failed cases into waives.txt (NVIDIA#9593)

Signed-off-by: Jie Li <[email protected]>
Co-authored-by: Jie Li <[email protected]>

[TRTLLM-6842][feat] Support Response API for general purpose (NVIDIA#9392)

Signed-off-by: Junyi Xu <[email protected]>

[None][test] Update Qwen3-next accuracy testing by setting the cuda … (NVIDIA#9613)

Signed-off-by: nv-guomingz <[email protected]>

[None][feat] update trtllm-gen nvfp4 kernels with better performance (NVIDIA#9510)

Signed-off-by: Perkz Zheng <[email protected]>

[None][doc] Replace the tensorrt icon with torch icon on overview.md (NVIDIA#9644)

Signed-off-by: nv-guomingz <[email protected]>

[https://nvbugs/5705197][chore] Unwaive timeout disagg tests (NVIDIA#9637)

Signed-off-by: Patrice Castonguay <[email protected]>

[https://nvbugs/5552132][fix] Enable LoRa for GPT OSS Torch (NVIDIA#8253)

Signed-off-by: Michal Guzek <[email protected]>

[None][fix] Fix wide ep MoE error (NVIDIA#9642)

Signed-off-by: Iman Tabrizian <[email protected]>

[https://nvbugs/5702795][fix] Remove the warning message for aten.log. (NVIDIA#9665)

Signed-off-by: nv-guomingz <[email protected]>

[https://nvbugs/5693853][fix] Fix error handling when querying machin… (NVIDIA#9483)

Signed-off-by: Gal Hubara Agam <[email protected]>

[OMNIML-2932] [feat] nvfp4 awq support (NVIDIA#8698)

Signed-off-by: weimingc <[email protected]>

[NVIDIA#9643][fix] AutoDeploy: fix nano sharding config (NVIDIA#9668)

Signed-off-by: Lucas Liebenwein <[email protected]>

[NVIDIA#9147][feat] AutoDeploy: Draft Target Speculative Decoding (NVIDIA#9275)

Signed-off-by: Govind Ramnarayan <[email protected]>

[None][feat] Update Qwen3CodeToolParser to align tool-calling parameters (NVIDIA#9540)

Signed-off-by: Wanli Jiang <[email protected]>

[TRTLLM-7181][infra] Generate test results when pytest timeout happens (NVIDIA#9396)

Signed-off-by: Yiqing Yan <[email protected]>

[None][infra] Check in most recent lock file from nightly pipeline

Signed-off-by: TensorRT LLM <[email protected]>

[TRTLLM-9522][fix] restore `trtllm-serve mm_embedding_serve` (NVIDIA#9669)

[TRTLLM-5093][infra] Write env variables to a file in the interactive debug session (NVIDIA#6792)

Signed-off-by: Yiqing Yan <[email protected]>

[None][fix] fix error when processing batches containing both text and mm data (NVIDIA#8381)

Signed-off-by: Nekofish-L <[email protected]>

[TRTLLM-7073][feat] Support torch compile for PP for Llama and DeepSeekV3 (NVIDIA#7838)

Signed-off-by: Jin Li <[email protected]>

[None][feat] Add weights initialization and context phase parser to layer-wise benchmarks (NVIDIA#9667)

Signed-off-by: Tailing Yuan <[email protected]>

[TRTLLM-8274][feat] Check if executor is shutdown in /health entrypoint (NVIDIA#9057)

Signed-off-by: Junyi Xu <[email protected]>

[NVIDIA#8733][feat] Add Llama4 MoE handling to AutoDeploy (NVIDIA#9556)

Signed-off-by: Tal Cherckez <[email protected]>
Signed-off-by: tcherckez-nvidia <[email protected]>
Co-authored-by: Neta Zmora <[email protected]>

[None][ci] unwaive tests (NVIDIA#9651)

Signed-off-by: Yan Chunwei <[email protected]>

[None][feat] Add NIXL-LIBFABRIC support (NVIDIA#9225)

Signed-off-by: Yoray Zack <[email protected]>
Signed-off-by: zackyoray <[email protected]>

[None][test] rename wide ep and disagg metric name in perf test (NVIDIA#9704)

Signed-off-by: Ruodi Lu <[email protected]>
Co-authored-by: Ruodi Lu <[email protected]>

[https://nvbugs/5467531][fix] Unwaive fused_moe all to all test with … (NVIDIA#9617)

Signed-off-by: Jin Li <[email protected]>

[None][fix] Recover TRTLLM MoE Perf for DEP (NVIDIA#9562)

Signed-off-by: Anthony Chang <[email protected]>

[None][chore] Add failed cases into waives.txt (NVIDIA#9662)

Signed-off-by: Xin He (SW-GPU) <[email protected]>
Signed-off-by: xinhe-nv <[email protected]>
Signed-off-by: Yanchao Lu <[email protected]>
Co-authored-by: Yanchao Lu <[email protected]>

[None][fix] Fix TLLM_SPEC_DECODE_FORCE_NUM_ACCEPTED_TOKENS for MTP/EAGLE (NVIDIA#9608)

Signed-off-by: Aurelien Chartier <[email protected]>

[None][infra] Add container notices and documentation (NVIDIA#9185)

Signed-off-by: Parker Drake <[email protected]>

[TRTLLM-5312][infra] Add triton trigger rules (NVIDIA#6440)

Signed-off-by: Yiqing Yan <[email protected]>

[None][doc] Add feature docs for helix parallelism (NVIDIA#9684)

Signed-off-by: Balaram Buddharaju <[email protected]>

[TRTLLM-9579][infra] Set mergeWaiveList stage UNSTABLE when there is any issue (NVIDIA#9692)

Signed-off-by: Yiqing Yan <[email protected]>

[None][doc] Added line about partial reuse (NVIDIA#7846)

Signed-off-by: thorjohnsen <[email protected]>

[TRTLLM-8920][feat] decouple disagg service from fastapi (NVIDIA#8714)

Signed-off-by: Lizhi Zhou <[email protected]>

[https://nvbugs/5633340][fix] start disagg workers and servers on free ports (NVIDIA#9694)

Signed-off-by: Lizhi Zhou <[email protected]>

[TRTLLM-9562] [doc] Add Deployment Guide for Kimi K2 Thinking on TensorRT LLM - Blackwell (NVIDIA#9711)

Signed-off-by: Kaiyu Xie <[email protected]>

[NVIDIA#9602][feat] AutoDeploy: Support TRTLLM Sampler (NVIDIA#9641)

Signed-off-by: Govind Ramnarayan <[email protected]>

[None][infra] Check in most recent lock file from nightly pipeline

Signed-off-by: TensorRT LLM <[email protected]>

[None] [tests] Unwaive EPLB tests (NVIDIA#9625)

Signed-off-by: Kaiyu Xie <[email protected]>

[https://nvbugs/5518713][test] Refactor core test lists by merging with llm_perf_cluster.yml (NVIDIA#9714)

Signed-off-by: yufeiwu <[email protected]>

[TRTLLM-7136][feat] Update load_weights method to include mapping parameter in checkpoint loaders (NVIDIA#9583)

Signed-off-by: Robin Kobus <[email protected]>

[None][refactor] Improve request processing function in sampler (NVIDIA#9671)

Signed-off-by: Robin Kobus <[email protected]>

[https://nvbugs/5670672][fix] Fix flaky KV connector tests (NVIDIA#9676)

Signed-off-by: jthomson04 <[email protected]>

[None][infra] Update allowed list 20251204 (NVIDIA#9718)

Signed-off-by: Yuanjing Xue <[email protected]>

[None][feat] AutoDeploy: Perf optimization for Attention and rmsnorm (NVIDIA#9719)

Signed-off-by: Chenghao Zhang <[email protected]>

[None][chore] Waive flakey disagg tests (NVIDIA#9749)

Signed-off-by: Mike Iovine <[email protected]>

[https://nvbugs/5601682][fix] Fix cacheTransceiver hang (NVIDIA#9311)

Signed-off-by: Iman Tabrizian <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>

[TRTLLM-9199][docs] KV Connector Docs (NVIDIA#9325)

Signed-off-by: jthomson04 <[email protected]>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Signed-off-by: Mike Iovine <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>

[TRTLLM-9160][doc] add doc to llm_runtime.py (NVIDIA#9482)

Signed-off-by: Yan Chunwei <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>

[None][doc] VDR 1.0 trtllm-serve doc enhancement (NVIDIA#9443)

Signed-off-by: Pengyun Lin <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>

[TRTLLM-9086][doc] Clean up TODOs in documentation (NVIDIA#9292)

Signed-off-by: junq <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>

[TRTLLM-9157][doc] Guided decoding doc improvement (NVIDIA#9359)

Signed-off-by: Enwei Zhu <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>

[None][infra] Updated Linux installation guide (NVIDIA#9485)

Signed-off-by: Yiqing Yan <[email protected]>
Co-authored-by: Yanchao Lu <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>

[TRTLLM-9075][doc] refine the slurm examples (NVIDIA#9548)

Signed-off-by: Yan Chunwei <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>

[TRTLLM-9093][doc] update hyper links in overview (NVIDIA#9568)

Signed-off-by: junq <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>

[TRTLLM-9092][doc] link to modelopt checkpoints in quick start guide (NVIDIA#9571)

Signed-off-by: junq <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>
Signed-off-by: Mike Iovine <[email protected]>

[None][infra] Check in most recent lock file from nightly pipeline

Signed-off-by: TensorRT LLM <[email protected]>

[None][fix] Fix triton moe load_weight (NVIDIA#9649)

Signed-off-by: shuyix <[email protected]>

[None][fix] fix a bug: deepseek_fp8_block_scales in TRTLLMGEN-MoE use 2D x_sf instead of 1D (NVIDIA#9658)

Signed-off-by: xxi <[email protected]>

[TRTLLM-9372][feat] Enable CuteDSL MoE with Large EP (NVIDIA#9592)

Signed-off-by: Enwei Zhu <[email protected]>

[TRTLLM-9522][chore] implement default `attach_multimodal_embeddings` (NVIDIA#9664)

Signed-off-by: ixlmar <[email protected]>

[TRTLLM-9660][feat] Convert cuteDSL GEMM to opt-in feature (NVIDIA#9682)

Signed-off-by: Jonas Li <[email protected]>
Co-authored-by: Kaiyu Xie <[email protected]>

[None][fix] enable hmac in RPC (NVIDIA#9745)

Signed-off-by: Superjomn <[email protected]>

[None][infra] Check in most recent lock file from nightly pipeline

Signed-off-by: TensorRT LLM <[email protected]>

[https://nvbugs/5703953][fix] Preserving ip:port for trtllm-serve before initializing llm (NVIDIA#9646)

Signed-off-by: Junyi Xu <[email protected]>

[None][infra] Waive failed cases for main branch on 12/07 (NVIDIA#9769)

Signed-off-by: qqiao <[email protected]>

[None][fix] Several minor fixes to CI setting (NVIDIA#9765)

Signed-off-by: Yanchao Lu <[email protected]>

[OMNIML-3036][doc] Re-branding TensorRT-Model-Optimizer as Nvidia Model-Optimizer (NVIDIA#9679)

Signed-off-by: Chenjie Luo <[email protected]>

[None][feat] Enable NCCL_SYMMETRIC as default fallback for AllReduce (NVIDIA#9314)

Signed-off-by: Ludwig Schneider <[email protected]>

[TRTLLM-9000][feat] Add multi-node Perf Tests into CI (NVIDIA#8800)

Signed-off-by: Chenfei Zhang <[email protected]>

[None][test] add ntp tolerance in time metrics verification (NVIDIA#9741)

Signed-off-by: zhengd-nv <[email protected]>

[TRTLLM-9603][feat] Enable ConfigurableMoE test in the CI (NVIDIA#9645)

[https://nvbugs/5422621][test] Add GB 200 WIDEEP test case for RCCA 5422621 (NVIDIA#9506)

Signed-off-by: FredricZ-2007 <[email protected]>

[None][fix] Fix two tuning cache miss issues. (NVIDIA#9743)

Signed-off-by: Yukun He <[email protected]>

[None][infra] Check in most recent lock file from nightly pipeline

Signed-off-by: TensorRT LLM <[email protected]>

[TRTLLM-9706] [doc] Update wide EP documents (NVIDIA#9724)

Signed-off-by: Kaiyu Xie <[email protected]>

[https://nvbugs/5666804][test] only adding sampler config for limited models (NVIDIA#9512)

Signed-off-by: Ruodi Lu <[email protected]>
Co-authored-by: Ruodi Lu <[email protected]>
Co-authored-by: yufeiwu-nv <[email protected]>
Co-authored-by: Larry Xu <[email protected]>

[None][infra] Waive failed cases for main on 12/08 (NVIDIA#9773)

Signed-off-by: qqiao <[email protected]>

[None][chore] Move the rocketkv e2e test to post-merge (NVIDIA#9768)

Signed-off-by: Fanrong Li <[email protected]>

[None][chore] Enable tvm_ffi for cute dsl nvfp4_gemm to reduce host overhead. (NVIDIA#9690)

Signed-off-by: Mindy Li <[email protected]>

[TRTLLM-9431][perf] Enable multistream for Linear Attention in Qwen3-… (NVIDIA#9696)

Signed-off-by: nv-guomingz <[email protected]>

[None][chore] Remove closed bugs (NVIDIA#9770)

Signed-off-by: xinhe-nv <[email protected]>

[None][infra] update mooncake in docker images (NVIDIA#9584)

Signed-off-by: zhengd-nv <[email protected]>
Signed-off-by: Zheng Duan <[email protected]>

[None][test] Add Kimi k2 WIDEEP perf and accuracy cases (NVIDIA#9686)

Signed-off-by: FredricZ-2007 <[email protected]>
Signed-off-by: Kaiyu Xie <[email protected]>
Co-authored-by: Kaiyu Xie <[email protected]>

[https://nvbugs/5527655][test] Add test case for RCCA 5527655 (NVIDIA#9511)

Signed-off-by: FredricZ-2007 <[email protected]>

[http://nvbugs/5649010][fix] fix test_auto_scaling.py::test_worker_restart timeout (NVIDIA#9775)

Signed-off-by: Lizhi Zhou <[email protected]>

[None][fix] Switch AutoDeploy's default allreduce strategy to NCCL (NVIDIA#9666)

Signed-off-by: Eran Geva <[email protected]>

[TRTLLM-9506][fix] Fix AR for DeepSeek-R1 2 model path (NVIDIA#9661)

Signed-off-by: qgai <[email protected]>

ray + updatew works

trtllm works in async env

trtllm works in sync and async env

ray + updatew works

rebase to the updated verl

server mode

still cherry pick

still cherry pick

still cherry pick

integrated http interface

hang at RyExecutor create workers ray.remote

clean code

use tensorrt_llm.rlhf_utils

Signed-off-by: Liwei Ma <[email protected]>

placement, asyncllm, and basic tests
Signed-off-by: Erin Ho <[email protected]>

connect sleep and wakeup; Add support to pass None to update_weights
Signed-off-by: Erin Ho <[email protected]>

Batching ctx for IFB scheduler

Signed-off-by: Yuan Tong <[email protected]>

accuracy WAR for TP>1: always use AllReduceStrategy.NCCL, refactored
Signed-off-by: Erin Ho <[email protected]>

fix e2e integration

Signed-off-by: Superjomn <[email protected]>

update asyncllm, other nits
Signed-off-by: Erin Ho <[email protected]>

fix init setup

Signed-off-by: Erin Ho <[email protected]>

Fix TRTLLMSampler logprobs perf

Signed-off-by: Yuan Tong <[email protected]>

fix and cleanup
Signed-off-by: Erin Ho <[email protected]>

fix server

Signed-off-by: Erin Ho <[email protected]>

Revert "Batching ctx for IFB scheduler"

This reverts commit b51aac0

Signed-off-by: Yuan Tong <[email protected]>

update & address comments

Signed-off-by: Erin Ho <[email protected]>
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5 participants