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@moraxu moraxu commented Oct 10, 2025

Summary by CodeRabbit

  • New Features

    • Added Low-Rank Adapter (LoRA) support for GPT-OSS models, enabling efficient fine-tuning capabilities through model inference.
  • Tests

    • Added end-to-end integration test for GPT-OSS-20B with LoRA adapters using Torch backend, including execution profiling.

Description

Enable LoRa for GPT OSS Torch

Test Coverage

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Please review the following before submitting your PR:

  • PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.

  • PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.

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  • The reviewers assigned automatically/manually are appropriate for the PR.

  • Please check this after reviewing the above items as appropriate for this PR.

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moraxu commented Nov 19, 2025

/bot run

@moraxu moraxu marked this pull request as ready for review November 19, 2025 17:22
@moraxu moraxu requested a review from a team as a code owner November 19, 2025 17:22
@moraxu moraxu requested a review from Wanli-Jiang November 19, 2025 17:22
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PR_Github #25073 [ run ] triggered by Bot. Commit: 2e6ad73

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📝 Walkthrough

Walkthrough

The changes add LoRA (Low-Rank Adaptation) parameter support to the GPT-OSS model inference pipeline by threading an optional lora_params parameter through forward methods in core modeling classes. Test fixtures and an end-to-end integration test are added to enable GPT-OSS-20B model testing with LoRA functionality.

Changes

Cohort / File(s) Summary
LoRA parameter propagation in GPT-OSS modeling
tensorrt_llm/_torch/models/modeling_gpt_oss.py
Added optional lora_params: Optional[dict] = None parameter to five forward methods: AttentionBlock.forward(), TransformerBlock.forward_normal(), TransformerBlock.forward_tp(), TransformerBlock.forward(), and Transformer.forward(). Parameter is threaded through internal calls to attention blocks and MoE components to propagate LoRA-related data through the inference graph.
Test infrastructure for GPT-OSS models
tests/integration/defs/conftest.py
Added new pytest fixture gpt_oss_model_root() with function scope that computes and validates a model root path for GPT-OSS models, selecting the appropriate path for "gpt-oss-20b" based on parametrization.
LoRA integration test for GPT-OSS
tests/integration/defs/examples/test_gpt.py
Added new end-to-end integration test test_gpt_oss_20b_lora_torch() that constructs a LoRA configuration, initializes an LLM with LoRA adapters, runs inference with a LoRA request, and profiles execution time. Test includes memory constraint skipping decorator and fixture parametrization. Also added import for defs.ci_profiler.

Sequence Diagram

sequenceDiagram
    participant Caller
    participant Transformer
    participant TransformerBlock
    participant AttentionBlock
    participant MoE

    Caller->>Transformer: forward(input, lora_params)
    activate Transformer
    
    loop for each block
        Transformer->>TransformerBlock: forward(hidden_states, lora_params)
        activate TransformerBlock
        
        alt forward_tp or forward_normal
            TransformerBlock->>AttentionBlock: forward(hidden_states, lora_params)
            activate AttentionBlock
            AttentionBlock-->>TransformerBlock: output
            deactivate AttentionBlock
            
            opt with MoE
                TransformerBlock->>MoE: forward(hidden_states, lora_params)
                activate MoE
                MoE-->>TransformerBlock: output
                deactivate MoE
            end
        end
        
        TransformerBlock-->>Transformer: output
        deactivate TransformerBlock
    end
    
    Transformer-->>Caller: output
    deactivate Transformer
Loading

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20–25 minutes

  • Parameter propagation is homogeneous across five method signatures, reducing cognitive load through repetition, but requires careful verification of correct threading through all call sites.
  • The new test fixture and integration test introduce new code patterns that require separate reasoning for correctness and fixture wiring.
  • Areas requiring attention:
    • Verify lora_params is passed consistently to all downstream components (attention blocks, MoE modules) where LoRA support is expected.
    • Confirm the optional parameter with None default is applied uniformly across all five method signatures.
    • Validate fixture parametrization and model path resolution in gpt_oss_model_root().
    • Check that the new integration test properly sets up and tears down LoRA configurations and uses fixtures correctly.

Pre-merge checks and finishing touches

❌ Failed checks (2 warnings)
Check name Status Explanation Resolution
Description check ⚠️ Warning The PR description is incomplete. Only the title and one-line description are provided; the Test Coverage section is empty with no tests listed, and the PR Checklist lacks substantive documentation of adherence to guidelines or justification of design decisions. Provide test coverage details listing the specific tests (test_gpt_oss_20b_lora_torch and fixture additions) that validate the changes. Expand description to explain why LoRA support is needed and any relevant design considerations.
Docstring Coverage ⚠️ Warning Docstring coverage is 22.22% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
✅ Passed checks (1 passed)
Check name Status Explanation
Title check ✅ Passed The pull request title clearly identifies the main change: enabling LoRA support for GPT OSS with Torch backend, with proper bug ID reference.
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Actionable comments posted: 3

📜 Review details

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 76a47c7 and 2e6ad73.

📒 Files selected for processing (3)
  • tensorrt_llm/_torch/models/modeling_gpt_oss.py (8 hunks)
  • tests/integration/defs/conftest.py (1 hunks)
  • tests/integration/defs/examples/test_gpt.py (2 hunks)
🧰 Additional context used
🧠 Learnings (8)
📓 Common learnings
Learnt from: venkywonka
Repo: NVIDIA/TensorRT-LLM PR: 6029
File: .github/pull_request_template.md:45-53
Timestamp: 2025-08-27T17:50:13.264Z
Learning: For PR templates in TensorRT-LLM, avoid suggesting changes that would increase developer overhead, such as converting plain bullets to mandatory checkboxes. The team prefers guidance-style bullets that don't require explicit interaction to reduce friction in the PR creation process.
Learnt from: amitz-nv
Repo: NVIDIA/TensorRT-LLM PR: 8063
File: tensorrt_llm/lora_manager.py:1080-1112
Timestamp: 2025-09-29T15:14:28.503Z
Learning: In tensorrt_llm/lora_manager.py, when calculating part_sizes for attn_qkv fused LoRA modules, the sizes are correctly multiplied by tp_size because model_config.num_heads and model_config.num_kv_heads are already divided by tp_size (per-TP-rank values), so multiplication is needed to get the original full concatenated dimension size. The interleave_fused_lora_weights_for_tp function provides proper validation with asserts for total size and TP divisibility.
Learnt from: shaharmor98
Repo: NVIDIA/TensorRT-LLM PR: 7231
File: tensorrt_llm/_torch/pyexecutor/_util.py:504-509
Timestamp: 2025-08-26T06:07:02.166Z
Learning: In tensorrt_llm/_torch/pyexecutor/_util.py, when calling model_engine.set_lora_model_config(), pass model_binding_config.mlp_hidden_size directly without multiplying by mapping.tp_size, as the mlp_hidden_size from get_bindings_model_config() is already the per-TP rank value needed for LoRA weight packaging.
Learnt from: amitz-nv
Repo: NVIDIA/TensorRT-LLM PR: 8063
File: tensorrt_llm/lora_manager.py:1080-1112
Timestamp: 2025-09-29T15:14:28.503Z
Learning: In tensorrt_llm/lora_manager.py, when calculating part_sizes for attn_qkv fused LoRA modules, the sizes are correctly multiplied by tp_size because model_config.num_heads and model_config.num_kv_heads are already divided by tp_size (per-TP-rank values), so multiplication is needed to get the original full concatenated dimension size. The interleave_fused_lora_weights_for_tp function provides proper validation.
Learnt from: amitz-nv
Repo: NVIDIA/TensorRT-LLM PR: 8063
File: tensorrt_llm/lora_manager.py:1080-1112
Timestamp: 2025-09-29T15:14:28.503Z
Learning: In tensorrt_llm/lora_manager.py, when calculating part_sizes for attn_qkv fused LoRA modules, the sizes are correctly multiplied by tp_size because model_config.num_heads and model_config.num_kv_heads are already divided by tp_size (per-TP-rank values), so multiplication is needed to get the original full concatenated dimension size. The interleave_fused_lora_weights_for_tp function provides proper validation.
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.
Learnt from: amitz-nv
Repo: NVIDIA/TensorRT-LLM PR: 7033
File: tensorrt_llm/_torch/pyexecutor/model_engine.py:2086-2092
Timestamp: 2025-08-19T12:45:35.429Z
Learning: DoRA (Delta Orthogonal Rank Adaptation) functionality has been removed from the PyTorch flow in tensorrt_llm/_torch/pyexecutor/model_engine.py. The is_dora field is computed but not used downstream in the PyTorch flow, so converting it to a tensor would be wasteful overhead.
📚 Learning: 2025-07-28T17:06:08.621Z
Learnt from: moraxu
Repo: NVIDIA/TensorRT-LLM PR: 6303
File: tests/integration/test_lists/qa/examples_test_list.txt:494-494
Timestamp: 2025-07-28T17:06:08.621Z
Learning: In TensorRT-LLM testing, it's common to have both CLI flow tests (test_cli_flow.py) and PyTorch API tests (test_llm_api_pytorch.py) for the same model. These serve different purposes: CLI flow tests validate the traditional command-line workflow, while PyTorch API tests validate the newer LLM API backend. Both are legitimate and should coexist.

Applied to files:

  • tests/integration/defs/examples/test_gpt.py
📚 Learning: 2025-09-09T09:40:45.658Z
Learnt from: fredricz-20070104
Repo: NVIDIA/TensorRT-LLM PR: 7645
File: tests/integration/test_lists/qa/llm_function_core.txt:648-648
Timestamp: 2025-09-09T09:40:45.658Z
Learning: In TensorRT-LLM test lists, it's common and intentional for the same test to appear in multiple test list files when they serve different purposes (e.g., llm_function_core.txt for comprehensive core functionality testing and llm_function_core_sanity.txt for quick sanity checks). This duplication allows tests to be run in different testing contexts.

Applied to files:

  • tests/integration/defs/examples/test_gpt.py
📚 Learning: 2025-08-26T06:07:02.166Z
Learnt from: shaharmor98
Repo: NVIDIA/TensorRT-LLM PR: 7231
File: tensorrt_llm/_torch/pyexecutor/_util.py:504-509
Timestamp: 2025-08-26T06:07:02.166Z
Learning: In tensorrt_llm/_torch/pyexecutor/_util.py, when calling model_engine.set_lora_model_config(), pass model_binding_config.mlp_hidden_size directly without multiplying by mapping.tp_size, as the mlp_hidden_size from get_bindings_model_config() is already the per-TP rank value needed for LoRA weight packaging.

Applied to files:

  • tensorrt_llm/_torch/models/modeling_gpt_oss.py
📚 Learning: 2025-09-29T15:14:28.503Z
Learnt from: amitz-nv
Repo: NVIDIA/TensorRT-LLM PR: 8063
File: tensorrt_llm/lora_manager.py:1080-1112
Timestamp: 2025-09-29T15:14:28.503Z
Learning: In tensorrt_llm/lora_manager.py, when calculating part_sizes for attn_qkv fused LoRA modules, the sizes are correctly multiplied by tp_size because model_config.num_heads and model_config.num_kv_heads are already divided by tp_size (per-TP-rank values), so multiplication is needed to get the original full concatenated dimension size. The interleave_fused_lora_weights_for_tp function provides proper validation with asserts for total size and TP divisibility.

Applied to files:

  • tensorrt_llm/_torch/models/modeling_gpt_oss.py
📚 Learning: 2025-09-29T15:14:28.503Z
Learnt from: amitz-nv
Repo: NVIDIA/TensorRT-LLM PR: 8063
File: tensorrt_llm/lora_manager.py:1080-1112
Timestamp: 2025-09-29T15:14:28.503Z
Learning: In tensorrt_llm/lora_manager.py, when calculating part_sizes for attn_qkv fused LoRA modules, the sizes are correctly multiplied by tp_size because model_config.num_heads and model_config.num_kv_heads are already divided by tp_size (per-TP-rank values), so multiplication is needed to get the original full concatenated dimension size. The interleave_fused_lora_weights_for_tp function provides proper validation.

Applied to files:

  • tensorrt_llm/_torch/models/modeling_gpt_oss.py
📚 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/models/modeling_gpt_oss.py
📚 Learning: 2025-08-14T15:38:01.771Z
Learnt from: MatthiasKohl
Repo: NVIDIA/TensorRT-LLM PR: 6904
File: cpp/tensorrt_llm/pybind/thop/bindings.cpp:55-57
Timestamp: 2025-08-14T15:38:01.771Z
Learning: In TensorRT-LLM Python bindings, tensor parameter collections like mla_tensor_params and spec_decoding_tensor_params are kept as required parameters without defaults to maintain API consistency, even when it might affect backward compatibility.

Applied to files:

  • tensorrt_llm/_torch/models/modeling_gpt_oss.py
🧬 Code graph analysis (2)
tests/integration/defs/examples/test_gpt.py (2)
tests/integration/defs/conftest.py (7)
  • gpt_example_root (363-371)
  • llm_venv (709-726)
  • gpt_oss_model_root (633-638)
  • llm_datasets_root (202-203)
  • llm_rouge_root (207-208)
  • engine_dir (1724-1739)
  • cmodel_dir (1743-1750)
tensorrt_llm/executor/request.py (1)
  • LoRARequest (24-53)
tests/integration/defs/conftest.py (1)
tests/integration/defs/triton_server/conftest.py (2)
  • models_root (280-284)
  • llm_models_root (24-33)
🪛 Ruff (0.14.5)
tests/integration/defs/examples/test_gpt.py

1939-1939: Unused function argument: gpt_example_root

(ARG001)


1939-1939: Unused function argument: llm_venv

(ARG001)


1940-1940: Unused function argument: llm_datasets_root

(ARG001)


1940-1940: Unused function argument: llm_rouge_root

(ARG001)


1940-1940: Unused function argument: engine_dir

(ARG001)


1941-1941: Unused function argument: cmodel_dir

(ARG001)


1949-1949: f-string without any placeholders

Remove extraneous f prefix

(F541)

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PR_Github #25073 [ run ] completed with state SUCCESS. Commit: 2e6ad73
/LLM/main/L0_MergeRequest_PR pipeline #18953 completed with status: 'FAILURE'

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moraxu commented Nov 19, 2025

/bot run

@moraxu moraxu force-pushed the dev-mguzek-enable-lora-for-gpt-oss-torch branch from 2e6ad73 to cdddaf6 Compare November 21, 2025 01:24
@moraxu moraxu requested a review from Tracin November 21, 2025 01:25
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moraxu commented Nov 21, 2025

/bot run

@moraxu moraxu requested a review from tijyojwad November 21, 2025 01:25
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PR_Github #25268 [ run ] triggered by Bot. Commit: cdddaf6

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moraxu commented Nov 21, 2025

/bot kill

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PR_Github #25270 [ kill ] triggered by Bot. Commit: cdddaf6

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PR_Github #25268 [ run ] completed with state ABORTED. Commit: cdddaf6
LLM/main/L0_MergeRequest_PR #19115 (Blue Ocean) completed with status: ABORTED

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PR_Github #25270 [ kill ] completed with state SUCCESS. Commit: cdddaf6
Successfully killed previous jobs for commit cdddaf6

@moraxu moraxu requested a review from Wanli-Jiang November 21, 2025 22:24
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moraxu commented Nov 21, 2025

/bot run

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PR_Github #25399 [ run ] triggered by Bot. Commit: d517f38

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PR_Github #25399 [ run ] completed with state SUCCESS. Commit: d517f38
/LLM/main/L0_MergeRequest_PR pipeline #19217 completed with status: 'SUCCESS'
Pipeline passed with automatic retried tests. Check the rerun report for details.

@moraxu moraxu requested a review from Wanli-Jiang December 1, 2025 20:06
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moraxu commented Dec 1, 2025

/bot run

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PR_Github #26469 [ run ] triggered by Bot. Commit: e2d8f4a

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PR_Github #26469 [ run ] completed with state SUCCESS. Commit: e2d8f4a
/LLM/main/L0_MergeRequest_PR pipeline #20119 completed with status: 'FAILURE'

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moraxu commented Dec 1, 2025

/bot run

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PR_Github #26482 [ run ] triggered by Bot. Commit: e2d8f4a

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PR_Github #26482 [ run ] completed with state SUCCESS. Commit: e2d8f4a
/LLM/main/L0_MergeRequest_PR pipeline #20133 completed with status: 'FAILURE'

Signed-off-by: Michal Guzek <[email protected]>
Signed-off-by: Michal Guzek <[email protected]>
Signed-off-by: Michal Guzek <[email protected]>
@moraxu moraxu force-pushed the dev-mguzek-enable-lora-for-gpt-oss-torch branch from e2d8f4a to a1708d9 Compare December 2, 2025 01:31
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/bot run

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PR_Github #26496 [ run ] triggered by Bot. Commit: a1708d9

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PR_Github #26496 [ run ] completed with state SUCCESS. Commit: a1708d9
/LLM/main/L0_MergeRequest_PR pipeline #20145 completed with status: 'FAILURE'

Signed-off-by: Michal Guzek <[email protected]>
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moraxu commented Dec 2, 2025

/bot run

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PR_Github #26630 [ run ] triggered by Bot. Commit: 271480d

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PR_Github #26630 [ run ] completed with state FAILURE. Commit: 271480d
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@MartinMarciniszyn MartinMarciniszyn merged commit 4e5b10d into NVIDIA:main Dec 3, 2025
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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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4 participants