Skip to content

Conversation

@lfr-0531
Copy link
Collaborator

@lfr-0531 lfr-0531 commented Nov 26, 2025

Summary by CodeRabbit

Release Notes

  • Bug Fixes

    • Fixed memory layout handling in sparse attention computations to ensure correct tensor operations with varying head counts.
  • Tests

    • Updated MoE backend tests to consistently run with default backend configuration for improved test consistency.

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

Description

On hopper, TRTLLM will use the flashMLA prefill sparse MLA kernel to support DSA in DeepSeek-v3.2. But it requires the number of heads to be a multiple of 64. So padding is needed before the flash_mla_sparse_fwd. Then the output should be contiguous. In this PR, we added the attn_out_latent = attn_out_latent.contiguous() to fix the TP issue and also enabled the TEP test.

Test Coverage

PR Checklist

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.

  • Test cases are provided for new code paths (see test instructions)

  • Any new dependencies have been scanned for license and vulnerabilities

  • CODEOWNERS updated if ownership changes

  • Documentation updated as needed

  • Update tava architecture diagram if there is a significant design change in PR.

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

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

GitHub Bot Help

/bot [-h] ['run', 'kill', 'skip', 'reuse-pipeline'] ...

Provide a user friendly way for developers to interact with a Jenkins server.

Run /bot [-h|--help] to print this help message.

See details below for each supported subcommand.

run [--reuse-test (optional)pipeline-id --disable-fail-fast --skip-test --stage-list "A10-PyTorch-1, xxx" --gpu-type "A30, H100_PCIe" --test-backend "pytorch, cpp" --add-multi-gpu-test --only-multi-gpu-test --disable-multi-gpu-test --post-merge --extra-stage "H100_PCIe-TensorRT-Post-Merge-1, xxx" --detailed-log --debug(experimental)]

Launch build/test pipelines. All previously running jobs will be killed.

--reuse-test (optional)pipeline-id (OPTIONAL) : Allow the new pipeline to reuse build artifacts and skip successful test stages from a specified pipeline or the last pipeline if no pipeline-id is indicated. If the Git commit ID has changed, this option will be always ignored. The DEFAULT behavior of the bot is to reuse build artifacts and successful test results from the last pipeline.

--disable-reuse-test (OPTIONAL) : Explicitly prevent the pipeline from reusing build artifacts and skipping successful test stages from a previous pipeline. Ensure that all builds and tests are run regardless of previous successes.

--disable-fail-fast (OPTIONAL) : Disable fail fast on build/tests/infra failures.

--skip-test (OPTIONAL) : Skip all test stages, but still run build stages, package stages and sanity check stages. Note: Does NOT update GitHub check status.

--stage-list "A10-PyTorch-1, xxx" (OPTIONAL) : Only run the specified test stages. Examples: "A10-PyTorch-1, xxx". Note: Does NOT update GitHub check status.

--gpu-type "A30, H100_PCIe" (OPTIONAL) : Only run the test stages on the specified GPU types. Examples: "A30, H100_PCIe". Note: Does NOT update GitHub check status.

--test-backend "pytorch, cpp" (OPTIONAL) : Skip test stages which don't match the specified backends. Only support [pytorch, cpp, tensorrt, triton]. Examples: "pytorch, cpp" (does not run test stages with tensorrt or triton backend). Note: Does NOT update GitHub pipeline status.

--only-multi-gpu-test (OPTIONAL) : Only run the multi-GPU tests. Note: Does NOT update GitHub check status.

--disable-multi-gpu-test (OPTIONAL) : Disable the multi-GPU tests. Note: Does NOT update GitHub check status.

--add-multi-gpu-test (OPTIONAL) : Force run the multi-GPU tests in addition to running L0 pre-merge pipeline.

--post-merge (OPTIONAL) : Run the L0 post-merge pipeline instead of the ordinary L0 pre-merge pipeline.

--extra-stage "H100_PCIe-TensorRT-Post-Merge-1, xxx" (OPTIONAL) : Run the ordinary L0 pre-merge pipeline and specified test stages. Examples: --extra-stage "H100_PCIe-TensorRT-Post-Merge-1, xxx".

--detailed-log (OPTIONAL) : Enable flushing out all logs to the Jenkins console. This will significantly increase the log volume and may slow down the job.

--debug (OPTIONAL) : Experimental feature. Enable access to the CI container for debugging purpose. Note: Specify exactly one stage in the stage-list parameter to access the appropriate container environment. Note: Does NOT update GitHub check status.

For guidance on mapping tests to stage names, see docs/source/reference/ci-overview.md
and the scripts/test_to_stage_mapping.py helper.

kill

kill

Kill all running builds associated with pull request.

skip

skip --comment COMMENT

Skip testing for latest commit on pull request. --comment "Reason for skipping build/test" is required. IMPORTANT NOTE: This is dangerous since lack of user care and validation can cause top of tree to break.

reuse-pipeline

reuse-pipeline

Reuse a previous pipeline to validate current commit. This action will also kill all currently running builds associated with the pull request. IMPORTANT NOTE: This is dangerous since lack of user care and validation can cause top of tree to break.

@lfr-0531 lfr-0531 requested a review from chang-l November 26, 2025 07:51
@lfr-0531 lfr-0531 requested a review from a team as a code owner November 26, 2025 07:52
@lfr-0531 lfr-0531 requested a review from brb-nv November 26, 2025 07:52
@lfr-0531 lfr-0531 force-pushed the user/fanrongl/fix_ds32_tp_sm90 branch from 9aa0f15 to 0966676 Compare November 26, 2025 07:52
@coderabbitai
Copy link
Contributor

coderabbitai bot commented Nov 26, 2025

📝 Walkthrough

Walkthrough

Two changes modify memory handling in attention operations and test configuration. The attention module adds a contiguity guarantee for non-padded tensor operations, while the test suite removes a skip condition to enforce default MoE backend execution.

Changes

Cohort / File(s) Summary
Attention memory layout
tensorrt_llm/_torch/modules/attention.py
Adds conditional contiguous() call in forward_sparse_mla_kvcache_bf16 when tensor parallelism head count differs from padding value, ensuring correct memory layout before subsequent view operations
Test backend handling
tests/integration/defs/accuracy/test_llm_api_pytorch.py
Replaces conditional skip with unconditional default assignment, forcing MoE backend to "_DEFAULT" and ensuring test execution regardless of input backend

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~8 minutes

  • The contiguity fix is a localized, defensive addition with clear intent
  • The test change is a straightforward control-flow modification replacing one guard pattern with another

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 50.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
✅ Passed checks (2 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly identifies the fix for tensor parallelism support in DeepSeek-V3.2 on Hopper GPUs, directly matching the main change in the changeset.
Description check ✅ Passed The description explains the issue (padding requirement for flashMLA kernel), the solution (contiguous() call), and mentions enabling TEP test, but the Test Coverage section is empty.
✨ Finishing touches
  • 📝 Generate docstrings
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Post copyable unit tests in a comment

Tip

📝 Customizable high-level summaries are now available in beta!

You can now customize how CodeRabbit generates the high-level summary in your pull requests — including its content, structure, tone, and formatting.

  • Provide your own instructions using the high_level_summary_instructions setting.
  • Format the summary however you like (bullet lists, tables, multi-section layouts, contributor stats, etc.).
  • Use high_level_summary_in_walkthrough to move the summary from the description to the walkthrough section.

Example instruction:

"Divide the high-level summary into five sections:

  1. 📝 Description — Summarize the main change in 50–60 words, explaining what was done.
  2. 📓 References — List relevant issues, discussions, documentation, or related PRs.
  3. 📦 Dependencies & Requirements — Mention any new/updated dependencies, environment variable changes, or configuration updates.
  4. 📊 Contributor Summary — Include a Markdown table showing contributions:
    | Contributor | Lines Added | Lines Removed | Files Changed |
  5. ✔️ Additional Notes — Add any extra reviewer context.
    Keep each section concise (under 200 words) and use bullet or numbered lists for clarity."

Note: This feature is currently in beta for Pro-tier users, and pricing will be announced later.


Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out.

❤️ Share

Comment @coderabbitai help to get the list of available commands and usage tips.

Copy link
Contributor

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 0

🧹 Nitpick comments (1)
tests/integration/defs/accuracy/test_llm_api_pytorch.py (1)

2417-2430: Redundant moe_backend = "_DEFAULT" assignment in non-SM100/103 branch

In the else branch, moe_backend is set to "_DEFAULT" but not used afterward (moe_config = MoeConfig() ignores it), so this line currently has no effect. If the intent is to force the default backend for non-SM100/103, either drop the assignment or pass it explicitly to MoeConfig, e.g. MoeConfig(backend="_DEFAULT").

📜 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 1bf2d75 and 0966676.

📒 Files selected for processing (2)
  • tensorrt_llm/_torch/modules/attention.py (1 hunks)
  • tests/integration/defs/accuracy/test_llm_api_pytorch.py (1 hunks)
🧰 Additional context used
📓 Path-based instructions (2)
**/*.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)
Python filenames should use snake_case (e.g., some_file.py)
Python class names should use PascalCase (e.g., class SomeClass)
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
Use Google style docstrings for Python classes and functions, which can be parsed by Sphinx
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/modules/attention.py
  • tests/integration/defs/accuracy/test_llm_api_pytorch.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/modules/attention.py
  • tests/integration/defs/accuracy/test_llm_api_pytorch.py
🧠 Learnings (7)
📓 Common learnings
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: 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: 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.
Learnt from: MatthiasKohl
Repo: NVIDIA/TensorRT-LLM PR: 6904
File: tensorrt_llm/_torch/attention_backend/trtllm.py:259-262
Timestamp: 2025-08-14T15:43:23.107Z
Learning: In TensorRT-LLM's attention backend, tensor parameters in the plan() method are assigned directly without validation (dtype, device, contiguity checks). This maintains consistency across all tensor inputs and follows the pattern of trusting callers to provide correctly formatted tensors.
Learnt from: thorjohnsen
Repo: NVIDIA/TensorRT-LLM PR: 6910
File: cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp:0-0
Timestamp: 2025-08-14T21:04:50.248Z
Learning: In KV cache onboarding logic during prefill in cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp, when calculating which blocks fall within the attention window, use getTokensPerBlock() to advance token indices rather than block->getUniqueTokens().size(), because the calculation needs to consider the post-prefill state where blocks will be filled to capacity, not their current token count.
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`.
📚 Learning: 2025-08-14T21:04:50.248Z
Learnt from: thorjohnsen
Repo: NVIDIA/TensorRT-LLM PR: 6910
File: cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp:0-0
Timestamp: 2025-08-14T21:04:50.248Z
Learning: In KV cache onboarding logic during prefill in cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp, when calculating which blocks fall within the attention window, use getTokensPerBlock() to advance token indices rather than block->getUniqueTokens().size(), because the calculation needs to consider the post-prefill state where blocks will be filled to capacity, not their current token count.

Applied to files:

  • tensorrt_llm/_torch/modules/attention.py
📚 Learning: 2025-08-15T06:46:53.813Z
Learnt from: eopXD
Repo: NVIDIA/TensorRT-LLM PR: 6767
File: cpp/tensorrt_llm/batch_manager/kvCacheManager.cpp:0-0
Timestamp: 2025-08-15T06:46:53.813Z
Learning: In the TensorRT-LLM KV cache manager, SWA (Sliding Window Attention) combined with beam search is currently in a broken/non-functional state and is planned for future rework. During preparatory refactoring phases, code related to SWA+beam search may intentionally remain in a non-working state until the broader rework is completed.

Applied to files:

  • tensorrt_llm/_torch/modules/attention.py
📚 Learning: 2025-08-14T15:43:23.107Z
Learnt from: MatthiasKohl
Repo: NVIDIA/TensorRT-LLM PR: 6904
File: tensorrt_llm/_torch/attention_backend/trtllm.py:259-262
Timestamp: 2025-08-14T15:43:23.107Z
Learning: In TensorRT-LLM's attention backend, tensor parameters in the plan() method are assigned directly without validation (dtype, device, contiguity checks). This maintains consistency across all tensor inputs and follows the pattern of trusting callers to provide correctly formatted tensors.

Applied to files:

  • tensorrt_llm/_torch/modules/attention.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/modules/attention.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/modules/attention.py
📚 Learning: 2025-08-29T14:07:45.863Z
Learnt from: EmmaQiaoCh
Repo: NVIDIA/TensorRT-LLM PR: 7370
File: tests/unittest/trt/model_api/test_model_quantization.py:24-27
Timestamp: 2025-08-29T14:07:45.863Z
Learning: In TensorRT-LLM's CI infrastructure, pytest skip markers (pytest.mark.skip) are properly honored even when test files have __main__ blocks that call test functions directly. The testing system correctly skips tests without requiring modifications to the __main__ block execution pattern.

Applied to files:

  • tests/integration/defs/accuracy/test_llm_api_pytorch.py
⏰ 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 (1)
tensorrt_llm/_torch/modules/attention.py (1)

2061-2070: I encountered a repository cloning failure and cannot directly access the codebase to verify the exact state of the code. However, I can analyze the review comment based on the provided snippet and PyTorch semantics.

PyTorch .view() contiguity requirement is valid, but verification inconclusive

The review's technical concern is sound: in PyTorch, .view() requires contiguous (or view-compatible) memory layout. Slicing a tensor along the middle dimension (:, :self.num_heads_tp, :) typically creates a non-contiguous result, so calling .view() immediately after could fail.

The suggested fix—moving .contiguous() before .view()—aligns with PyTorch best practices. However, I cannot verify:

  1. Whether the current code in the repository actually exhibits this ordering (cloning failed)
  2. Whether this has already been fixed in the codebase
  3. What the actual failure mode was that prompted this change
  4. Whether calling .reshape() instead of .view() would be preferred (since .reshape() handles non-contiguous tensors automatically)

The review's technical analysis is correct, but without access to the actual codebase, related test cases, or failure logs, I cannot confirm whether the concern remains unaddressed or has been resolved.

@lfr-0531
Copy link
Collaborator Author

/bot run

@lfr-0531
Copy link
Collaborator Author

/bot run

@tensorrt-cicd
Copy link
Collaborator

PR_Github #25900 [ run ] triggered by Bot. Commit: 0966676

@tensorrt-cicd
Copy link
Collaborator

PR_Github #25900 [ run ] completed with state SUCCESS. Commit: 0966676
/LLM/main/L0_MergeRequest_PR pipeline #19641 completed with status: 'FAILURE'

@lfr-0531
Copy link
Collaborator Author

/bot run

@tensorrt-cicd
Copy link
Collaborator

PR_Github #25951 [ run ] triggered by Bot. Commit: 0971624

@tensorrt-cicd
Copy link
Collaborator

PR_Github #25951 [ run ] completed with state SUCCESS. Commit: 0971624
/LLM/main/L0_MergeRequest_PR pipeline #19681 completed with status: 'SUCCESS'
Pipeline passed with automatic retried tests. Check the rerun report for details.

@lfr-0531 lfr-0531 requested review from yuxianq and removed request for brb-nv November 27, 2025 06:05
Signed-off-by: Fanrong Li <[email protected]>
@lfr-0531
Copy link
Collaborator Author

The accuracy/test_llm_api_pytorch.py::TestDeepSeekV32::test_fp8_blockscale[latency_default] test passed on a local H200 node.

@lfr-0531
Copy link
Collaborator Author

/bot reuse-pipeline

@lfr-0531 lfr-0531 enabled auto-merge (squash) November 27, 2025 12:17
@tensorrt-cicd
Copy link
Collaborator

PR_Github #26034 [ reuse-pipeline ] triggered by Bot. Commit: 337fc31

@tensorrt-cicd
Copy link
Collaborator

PR_Github #26034 [ reuse-pipeline ] completed with state SUCCESS. Commit: 337fc31
Reusing PR_Github #25951 for commit 337fc31

@lfr-0531 lfr-0531 merged commit 2d5eadf into NVIDIA:main Nov 27, 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]>
codego7250 pushed a commit to codego7250/TensorRT-LLM that referenced this pull request Dec 11, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

4 participants