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@nvchenghaoz nvchenghaoz commented Nov 25, 2025

Part 2 for #9344

This PR is to remove the redundant copies after causal conv and after the SSM.

Added the copyright files for the files that I touched.

Summary by CodeRabbit

  • Performance Improvements

    • Optimized CUDA causal convolution operations to use in-place memory modifications, reducing memory overhead in mamba model deployment.
  • Refactor

    • Updated internal operation handling for consistency across CUDA and Triton backends in the auto-deploy pipeline.

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

Signed-off-by: Chenghao Zhang <211069071+nvchenghaoz@users.noreply.github.com>
Signed-off-by: Chenghao Zhang <211069071+nvchenghaoz@users.noreply.github.com>
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coderabbitai bot commented Nov 25, 2025

📝 Walkthrough

Walkthrough

The changes refactor a CUDA cached causal convolution operation from tensor-returning to in-place modification semantics. A wrapper function is introduced to maintain backward compatibility, while fusion logic is updated to use the new wrapper instead of the raw operator. Output tensor assembly logic in the Triton backend is also adjusted to conditionally construct results from prefill and decode paths.

Changes

Cohort / File(s) Change Summary
CUDA backend operation refactoring
tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/cuda_backend_causal_conv.py
_cuda_cached_causal_conv1d signature changed to return None; mutates_args decorator updated to {"input"} for in-place modification; new cuda_cached_causal_conv1d_wrapper function introduced to call the op and return input; get_cached_attention_op updated to return wrapper; fake registration updated to return None.
Triton backend output handling
tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/triton_backend_mamba.py
Output tensor construction refactored: introduces y_prefill and y_decode variables for partial results; final return logic conditionally assembles or returns results based on prefill/decode path presence.
Fusion logic wrapper adoption
tensorrt_llm/_torch/auto_deploy/transform/library/fuse_causal_conv.py
Hardcoded torch.ops.auto_deploy.cuda_cached_causal_conv1d references replaced with imported cuda_cached_causal_conv1d_wrapper alias; wrapper used in both pattern matching and fusion call sites.

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~25 minutes

  • In-place modification semantics and wrapper correctness in cuda_backend_causal_conv.py require careful verification
  • Output tensor assembly logic in triton_backend_mamba.py should be validated for all prefill/decode path combinations
  • Ensure fusion logic properly invokes the wrapper and maintains expected behavior

Pre-merge checks and finishing touches

❌ Failed checks (2 warnings)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 25.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
Description check ⚠️ Warning The description is missing required template sections including detailed explanation of changes, test coverage details, and PR checklist completion. Complete the PR description by filling in the 'Description' section with detailed explanation, 'Test Coverage' with specific test cases, and check all items in the 'PR Checklist'.
✅ Passed checks (1 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly and specifically summarizes the main change: removing redundant copies in mamba layers during AutoDeploy processing.
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Actionable comments posted: 0

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (1)
tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/cuda_backend_causal_conv.py (1)

207-216: The decode path has a critical bug: the return value of causal_conv1d_update is not captured.

The function causal_conv1d_update returns the convolution output (shape matching x_decode), but the code at lines 207-216 discards this return value. The function does not modify x_decode in place; instead, it copies x_decode into conv_state and returns the computed output. Without capturing the return value, the decode output is lost entirely.

The call should be:

x_decode = causal_conv1d_update(
    x_decode,  # [batch, dim]
    conv_state_cache,
    w2d,
    bias,
    activation=activation,
    cache_seqlens=None,
    conv_state_indices=slot_idx[num_prefill:].to(torch.int32),
    pad_slot_id=PAD_SLOT_ID,
)
🧹 Nitpick comments (1)
tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/cuda_backend_causal_conv.py (1)

245-247: Consider adding a docstring to the wrapper function.

The wrapper function correctly calls the in-place op and returns the input, maintaining backward compatibility. However, adding a docstring would improve clarity:

 def cuda_cached_causal_conv1d_wrapper(input, *args, **kwargs):
+    """Wrapper for cuda_cached_causal_conv1d that returns the modified input.
+    
+    The underlying op modifies input in-place; this wrapper provides
+    a functional interface for backward compatibility.
+    """
     torch.ops.auto_deploy.cuda_cached_causal_conv1d(input, *args, **kwargs)
     return input
📜 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 afc52d7 and 156b43e.

📒 Files selected for processing (3)
  • tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/cuda_backend_causal_conv.py (7 hunks)
  • tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/triton_backend_mamba.py (4 hunks)
  • tensorrt_llm/_torch/auto_deploy/transform/library/fuse_causal_conv.py (4 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)
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Python local variable names should use snake_case, with prefix k for variable names that start with a number (e.g., k_99th_percentile = ...)
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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
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Files:

  • tensorrt_llm/_torch/auto_deploy/transform/library/fuse_causal_conv.py
  • tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/triton_backend_mamba.py
  • tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/cuda_backend_causal_conv.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/auto_deploy/transform/library/fuse_causal_conv.py
  • tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/triton_backend_mamba.py
  • tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/cuda_backend_causal_conv.py
🧠 Learnings (4)
📓 Common learnings
Learnt from: djns99
Repo: NVIDIA/TensorRT-LLM PR: 6915
File: cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu:4010-4012
Timestamp: 2025-08-14T23:23:27.449Z
Learning: For MOE (Mixture of Experts) code reviews in TensorRT-LLM, avoid repeatedly suggesting finalize fusion validation checks and safety assertions. The user djns99 has indicated these suggestions are repetitive and unwanted across multiple MOE-related changes.
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`.
Learnt from: sklevtsov-nvidia
Repo: NVIDIA/TensorRT-LLM PR: 3294
File: cpp/tensorrt_llm/kernels/cutlass_kernels/moe_gemm/moe_kernels.cu:1198-1209
Timestamp: 2025-08-08T22:03:40.707Z
Learning: In the CUTLASS MoE kernels (cpp/tensorrt_llm/cutlass_extensions), when `layout_info.fusion` is set to `TmaWarpSpecializedGroupedGemmInput::EpilogueFusion::FINALIZE`, the `router_scales` parameter must be non-null by design. The fused finalize kernel epilogue does not perform nullptr checks and requires valid router scales to function correctly. This is an implicit contract that callers must satisfy when enabling the FINALIZE fusion mode.
Learnt from: nv-lschneider
Repo: NVIDIA/TensorRT-LLM PR: 7910
File: cpp/tensorrt_llm/thop/allreduceOp.cpp:352-446
Timestamp: 2025-09-23T15:12:38.312Z
Learning: In TensorRT-LLM NCCL device allreduce implementation (cpp/tensorrt_llm/thop/allreduceOp.cpp), the goto pattern in runNCCLAllReduceDeviceFusion is intentionally used for future extensibility, allowing multiple switch cases to fallback to the default handler. While not aesthetically ideal, this pattern supports adding more fusion cases later that can reuse the same fallback logic.
📚 Learning: 2025-11-14T11:22:03.729Z
Learnt from: nzmora-nvidia
Repo: NVIDIA/TensorRT-LLM PR: 9163
File: tensorrt_llm/_torch/auto_deploy/custom_ops/quant.py:107-113
Timestamp: 2025-11-14T11:22:03.729Z
Learning: In TensorRT-LLM AutoDeploy custom ops, when adding hardware capability checks to select between kernel implementations (e.g., cuBLAS vs. CUDA kernel), use descriptive variable names that identify the specific GPU architectures or families being targeted (e.g., `is_blackwell_geforce_or_ada`) rather than generic names like `enable_cuda_core`. This makes it clear that the code is selecting an implementation path based on hardware capabilities, not enabling/disabling hardware features.

Applied to files:

  • tensorrt_llm/_torch/auto_deploy/transform/library/fuse_causal_conv.py
  • tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/cuda_backend_causal_conv.py
📚 Learning: 2025-10-20T16:54:09.824Z
Learnt from: nvchenghaoz
Repo: NVIDIA/TensorRT-LLM PR: 8469
File: tensorrt_llm/_torch/auto_deploy/custom_ops/rms_norm.py:6-6
Timestamp: 2025-10-20T16:54:09.824Z
Learning: In tensorrt_llm/_torch/auto_deploy/custom_ops/rms_norm.py, the import `from ...modules.mamba.layernorm_gated import _layer_norm_fwd` is correct and should not be changed to modules.fla.layernorm_gated. The _layer_norm_fwd function exists in both modules/mamba/layernorm_gated.py and modules/fla/layernorm_gated.py, but the mamba version is the intended implementation for this use case.

Applied to files:

  • tensorrt_llm/_torch/auto_deploy/transform/library/fuse_causal_conv.py
  • tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/triton_backend_mamba.py
  • tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/cuda_backend_causal_conv.py
📚 Learning: 2025-09-23T15:12:38.312Z
Learnt from: nv-lschneider
Repo: NVIDIA/TensorRT-LLM PR: 7910
File: cpp/tensorrt_llm/thop/allreduceOp.cpp:352-446
Timestamp: 2025-09-23T15:12:38.312Z
Learning: In TensorRT-LLM NCCL device allreduce implementation (cpp/tensorrt_llm/thop/allreduceOp.cpp), the goto pattern in runNCCLAllReduceDeviceFusion is intentionally used for future extensibility, allowing multiple switch cases to fallback to the default handler. While not aesthetically ideal, this pattern supports adding more fusion cases later that can reuse the same fallback logic.

Applied to files:

  • tensorrt_llm/_torch/auto_deploy/transform/library/fuse_causal_conv.py
🧬 Code graph analysis (2)
tensorrt_llm/_torch/auto_deploy/transform/library/fuse_causal_conv.py (2)
tests/unittest/_torch/thop/parallel/test_custom_ops.py (1)
  • custom_ops (37-42)
tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/cuda_backend_causal_conv.py (1)
  • cuda_cached_causal_conv1d_wrapper (245-247)
tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/cuda_backend_causal_conv.py (1)
tensorrt_llm/_torch/auto_deploy/custom_ops/attention_interface.py (1)
  • args (288-290)
⏰ 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 (9)
tensorrt_llm/_torch/auto_deploy/transform/library/fuse_causal_conv.py (2)

1-15: LGTM! Copyright header properly added.

The NVIDIA copyright header with Apache 2.0 license has been correctly added to this file, as required by the coding guidelines.


104-119: LGTM! Wrapper integration is clean.

The switch from using the raw operator to the cuda_cached_causal_conv1d_wrapper is implemented correctly. The wrapper is consistently used in both pattern matching (line 109) and fusion (line 119), which aligns with the in-place modification semantics introduced in the CUDA backend.

tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/triton_backend_mamba.py (3)

1-15: LGTM! Copyright header properly added.

The NVIDIA copyright header with Apache 2.0 license has been correctly added to this file, as required by the coding guidelines.


207-208: LGTM! Clean initialization pattern.

Initializing y_prefill and y_decode to None enables the dispatch-based return logic and helps eliminate redundant tensor allocations, aligning with the PR objectives.


282-294: I'll help you verify the shape compatibility in the dispatch return logic. Let me start by examining the mamba triton backend file and locating the relevant function definitions.
<function_calls>

#!/bin/bash

Find the file and check its size

wc -l tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/triton_backend_mamba.py


</function_calls>
#!/bin/bash

Find mamba_chunk_scan_combined and selective_state_update signatures

rg -n "def mamba_chunk_scan_combined|def selective_state_update" tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/triton_backend_mamba.py


</function_calls>

Now let me examine the relevant sections of the file to understand the shape flow:
<function_calls>

#!/bin/bash

Read the critical section around lines 282-294 and some context before/after

sed -n '250,310p' tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/triton_backend_mamba.py


</function_calls>

Let me also search for where y_prefill and y_decode are created:
<function_calls>

#!/bin/bash

Search for y_prefill and y_decode creation

rg -n "y_prefill|y_decode" tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/triton_backend_mamba.py | head -30


</function_calls>

<function_calls>

#!/bin/bash

Get broader context on y_prefill and y_decode

sed -n '200,295p' tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/triton_backend_mamba.py


</function_calls>

Let me search for the mamba_chunk_scan_combined and selective_state_update function definitions:
<function_calls>

#!/bin/bash

Search across the entire codebase for mamba_chunk_scan_combined definition

rg -n "def mamba_chunk_scan_combined" --type py


</function_calls>

<function_calls>

#!/bin/bash

Search across the entire codebase for selective_state_update definition

rg -n "def selective_state_update" --type py


</function_calls>

<function_calls>

#!/bin/bash

Look for the function calls in the triton_backend_mamba file

rg -B5 -A5 "mamba_chunk_scan_combined|selective_state_update" tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/triton_backend_mamba.py


</function_calls>

<function_calls>

#!/bin/bash

Read the entire file to understand context better

wc -l tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/triton_backend_mamba.py && echo "---" && cat -n tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/triton_backend_mamba.py


</function_calls>

tensorrt_llm/_torch/auto_deploy/custom_ops/mamba/cuda_backend_causal_conv.py (4)

1-15: LGTM! Copyright header properly added.

The NVIDIA copyright header with Apache 2.0 license has been correctly added to this file, as required by the coding guidelines.


112-140: LGTM! In-place semantics properly declared.

The changes correctly implement in-place mutation semantics:

  • mutates_args={"input"} properly declares the mutation to PyTorch
  • Return type changed to None is consistent with in-place operations
  • Documentation clearly states the in-place behavior

This refactoring aligns with the PR objective of removing redundant copies.


198-199: LGTM! Prefill path correctly implements in-place modification.

The scatter operation inp_flat[:total_prefill_tokens] = y_varlen.transpose(0, 1) correctly writes the results back to the input buffer. Since inp_flat is a view of input (line 156), the modifications properly propagate.


242-242: LGTM! Fake registration and wrapper exposure are correct.

  • Line 242: The fake function correctly returns None, consistent with the in-place operation
  • Line 273: The wrapper is correctly returned by get_cached_attention_op, providing the public API while encapsulating the in-place semantics

Also applies to: 273-273

@github-project-automation github-project-automation bot moved this from Backlog to In review in AutoDeploy Board Nov 25, 2025
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/bot run

@nvchenghaoz nvchenghaoz changed the title [None][feat] AutoDeploy: Remove redundant copies in mamba layers. [None][feat] AutoDeploy: Remove redundant copies in mamba layers Nov 25, 2025
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PR_Github #25781 [ run ] triggered by Bot. Commit: e205b9d

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PR_Github #25781 [ run ] completed with state SUCCESS. Commit: e205b9d
/LLM/main/L0_MergeRequest_PR pipeline #19555 completed with status: 'FAILURE'

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/bot run

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PR_Github #25823 [ run ] triggered by Bot. Commit: e205b9d

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PR_Github #25823 [ run ] completed with state SUCCESS. Commit: e205b9d
/LLM/main/L0_MergeRequest_PR pipeline #19585 completed with status: 'FAILURE'

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/bot run

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PR_Github #25867 [ run ] triggered by Bot. Commit: e205b9d

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PR_Github #25867 [ run ] completed with state SUCCESS. Commit: e205b9d
/LLM/main/L0_MergeRequest_PR pipeline #19613 completed with status: 'FAILURE'

Signed-off-by: Chenghao Zhang <211069071+nvchenghaoz@users.noreply.github.com>
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/bot run

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PR_Github #25883 [ run ] triggered by Bot. Commit: a67f3f4

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PR_Github #25883 [ run ] completed with state SUCCESS. Commit: a67f3f4
/LLM/main/L0_MergeRequest_PR pipeline #19628 completed with status: 'SUCCESS'
Pipeline passed with automatic retried tests. Check the rerun report for details.

@nvchenghaoz nvchenghaoz merged commit bc7b60e into NVIDIA:main Nov 26, 2025
5 checks passed
@github-project-automation github-project-automation bot moved this from In review to Done in AutoDeploy Board Nov 26, 2025
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 <23156053+hyukn@users.noreply.github.com>

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

Signed-off-by: qqiao <qqiao@nvidia.com>

[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 <19514940+MrGeva@users.noreply.github.com>

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

Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
Co-authored-by: Matt Lefebvre <matthewelefebvre@gmail.com>

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

Signed-off-by: Anthony Chang <27950904+rosenrodt@users.noreply.github.com>

[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 <yuehtingc@nvidia.com>

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

Signed-off-by: mni <125171826+baize97@users.noreply.github.com>

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

Signed-off-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>

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

Signed-off-by: Fanrong Li <23290157+lfr-0531@users.noreply.github.com>

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

Signed-off-by: Tailing Yuan <yuantailing@gmail.com>

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

Signed-off-by: Pengyun Lin <81065165+LinPoly@users.noreply.github.com>

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

Signed-off-by: Yue Weng <25103990+yweng0828@users.noreply.github.com>

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

Signed-off-by: Yan Chunwei <328693+Superjomn@users.noreply.github.com>

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

Signed-off-by: Fanrong Li <23290157+lfr-0531@users.noreply.github.com>

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

Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>

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

Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>

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

Signed-off-by: Eran Geva <19514940+MrGeva@users.noreply.github.com>

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

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

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

Signed-off-by: Suyog Gupta <41447211+suyoggupta@users.noreply.github.com>

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

Signed-off-by: Chuang Zhu <111838961+chuangz0@users.noreply.github.com>

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

Signed-off-by: Yiqing Yan <yiqingy@nvidia.com>

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

Signed-off-by: FredricZ-2007 <226039983+fredricz-20070104@users.noreply.github.com>

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

Signed-off-by: junq <22017000+QiJune@users.noreply.github.com>

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

Signed-off-by: shuyix <219646547+shuyixiong@users.noreply.github.com>

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

Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com>

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

Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>

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

Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com>

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

Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>

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

Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>

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

Signed-off-by: Aurelien Chartier <2567591+achartier@users.noreply.github.com>

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

Signed-off-by: Yuanjing Xue <197832395+yuanjingx87@users.noreply.github.com>

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

Signed-off-by: Yuanjing Xue <197832395+yuanjingx87@users.noreply.github.com>

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

Signed-off-by: Chenghao Zhang <211069071+nvchenghaoz@users.noreply.github.com>
Co-authored-by: Suyog Gupta <41447211+suyoggupta@users.noreply.github.com>

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

Signed-off-by: Chenghao Zhang <211069071+nvchenghaoz@users.noreply.github.com>

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

Signed-off-by: Zheyu Fu <zheyuf@NVIDIA.com>

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

Signed-off-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>

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

Signed-off-by: Aurelien Chartier <2567591+achartier@users.noreply.github.com>

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

Signed-off-by: junq <22017000+QiJune@users.noreply.github.com>

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

Signed-off-by: junq <22017000+QiJune@users.noreply.github.com>

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

Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com>

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

Signed-off-by: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com>

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

Signed-off-by: Hui Gao <huig@nvidia.com>

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

Signed-off-by: Jiagan Cheng <jiaganc@nvidia.com>

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

Signed-off-by: ziyixiong-nv <219238287+ziyixiong-nv@users.noreply.github.com>

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

Signed-off-by: qqiao <qqiao@nvidia.com>

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

Signed-off-by: Lanyu Liao <laliao@laliao-mlt.client.nvidia.com>
Co-authored-by: Lanyu Liao <laliao@laliao-mlt.client.nvidia.com>

[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 <1432185+reasonsolo@users.noreply.github.com>
Co-authored-by: Shi Xiaowei <39303645+Shixiaowei02@users.noreply.github.com>

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

Signed-off-by: qqiao <qqiao@nvidia.com>
Signed-off-by: Emma Qiao <qqiao@nvidia.com>
Co-authored-by: Yanchao Lu <yanchaol@nvidia.com>

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

Signed-off-by: xxi <xxi@nvidia.com>

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

Signed-off-by: Yuanjing Xue <197832395+yuanjingx87@users.noreply.github.com>

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

Signed-off-by: Zhenhuan Chen <zhenhuanc@nvidia.com>

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

Signed-off-by: jiant <107457950+JadoTu@users.noreply.github.com>

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

Signed-off-by: Fanrong Li <23290157+lfr-0531@users.noreply.github.com>

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

Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>

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

Signed-off-by: eopXD <yuehtingc@nvidia.com>

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

Signed-off-by: Yiqing Yan <yiqingy@nvidia.com>
Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
Co-authored-by: Yanchao Lu <yanchaol@nvidia.com>

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

Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>

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

Signed-off-by: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com>

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

Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>

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

Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>
Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
Co-authored-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>

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

Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com>

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

Signed-off-by: qqiao <qqiao@nvidia.com>
Signed-off-by: Emma Qiao <qqiao@nvidia.com>

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

Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com>

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

Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>

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

Signed-off-by: yufeiwu <230315618+yufeiwu-nv@users.noreply.github.com>

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

Signed-off-by: Lanyu Liao <lancelly@users.noreply.github.com>
Co-authored-by: Lanyu Liao <lancelly@users.noreply.github.com>

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

Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>

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

Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>

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

Signed-off-by: Zhenhuan Chen <zhenhuanc@nvidia.com>

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

Signed-off-by: qqiao <qqiao@nvidia.com>

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

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

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

Signed-off-by: ZhanruiSunCh <184402041+ZhanruiSunCh@users.noreply.github.com>
Signed-off-by: Zhanrui Sun <184402041+ZhanruiSunCh@users.noreply.github.com>
Co-authored-by: Yanchao Lu <yanchaol@nvidia.com>

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

Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>

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

Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>

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

Signed-off-by: Matthias Jouanneaux <mjoux@nvidia.com>
Signed-off-by: Zheyu Fu <zheyuf@NVIDIA.com>
Co-authored-by: Zheyu Fu <zheyuf@nvidia.com>

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

Signed-off-by: binghanc <176802681+binghanc@users.noreply.github.com>

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

Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>

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

Signed-off-by: greg-kwasniewski1 <213329731+greg-kwasniewski1@users.noreply.github.com>

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

Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com>

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

Signed-off-by: yunruis <205571022+yunruis@users.noreply.github.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>
Signed-off-by: Wangshanshan <30051912+dominicshanshan@users.noreply.github.com>
Signed-off-by: qgai <qgai@nvidia.com>
Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com>
Signed-off-by: Yan Chunwei <328693+Superjomn@users.noreply.github.com>
Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com>
Signed-off-by: Simeng Liu <simengl@nvidia.com>
Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>
Signed-off-by: Jin Li <59594262+liji-nv@users.noreply.github.com>
Signed-off-by: Ivy Zhang <25222398+crazydemo@users.noreply.github.com>
Signed-off-by: Vincent Zhang <vinczhang@nvidia.com>
Signed-off-by: peaceh <103117813+peaceh-nv@users.noreply.github.com>
Signed-off-by: Michal Guzek <mguzek@nvidia.com>
Signed-off-by: Michal Guzek <moraxu@users.noreply.github.com>
Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>
Signed-off-by: leslie-fang25 <leslief@nvidia.com>
Signed-off-by: Shunkang <182541032+Shunkangz@users.noreply.github.co>
Signed-off-by: junq <22017000+QiJune@users.noreply.github.com>
Co-authored-by: yunruis <205571022+yunruis@users.noreply.github.com>
Co-authored-by: sunnyqgg <159101675+sunnyqgg@users.noreply.github.com>
Co-authored-by: brb-nv <169953907+brb-nv@users.noreply.github.com>
Co-authored-by: Yan Chunwei <328693+Superjomn@users.noreply.github.com>
Co-authored-by: JunyiXu-nv <219237550+JunyiXu-nv@users.noreply.github.com>
Co-authored-by: Simeng Liu <109828133+SimengLiu-nv@users.noreply.github.com>
Co-authored-by: Guoming Zhang <137257613+nv-guomingz@users.noreply.github.com>
Co-authored-by: Jin Li <59594262+liji-nv@users.noreply.github.com>
Co-authored-by: Ivy Zhang <25222398+crazydemo@users.noreply.github.com>
Co-authored-by: Vincent Zhang <vcheungyi@163.com>
Co-authored-by: peaceh-nv <103117813+peaceh-nv@users.noreply.github.com>
Co-authored-by: Michal Guzek <moraxu@users.noreply.github.com>
Co-authored-by: Chang Liu <9713593+chang-l@users.noreply.github.com>
Co-authored-by: Leslie Fang <leslief@nvidia.com>
Co-authored-by: Shunkangz <182541032+Shunkangz@users.noreply.github.com>
Co-authored-by: Shunkang <182541032+Shunkangz@users.noreply.github.co>
Co-authored-by: QI JUN <22017000+QiJune@users.noreply.github.com>

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

Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com>

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

Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com>

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

Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>

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

Signed-off-by: qqiao <qqiao@nvidia.com>

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

Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com>

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

Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>

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

Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>

[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 <58161490+heyuhhh@users.noreply.github.com>

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

Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>

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

Signed-off-by: Mindy Li <11663212+limin2021@users.noreply.github.com>

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

Signed-off-by: Yuan Tong <13075180+tongyuantongyu@users.noreply.github.com>

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

Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com>

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

Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>

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

Signed-off-by: Pengbo Wang <221450789+pengbowang-nv@users.noreply.github.com>

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

Signed-off-by: jiant <107457950+JadoTu@users.noreply.github.com>

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

Signed-off-by: liugaoji <757394026@qq.com>

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

Signed-off-by: Fanrong Li <23290157+lfr-0531@users.noreply.github.com>

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

Signed-off-by: Neta Zmora <96238833+nzmora-nvidia@users.noreply.github.com>

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

Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>

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

Signed-off-by: Zhenhuan Chen <zhenhuanc@nvidia.com>

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

Signed-off-by: Yuhan Li <51736452+liyuhannnnn@users.noreply.github.com>

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

Signed-off-by: Martin Marciniszyn Mehringer <11665257+MartinMarciniszyn@users.noreply.github.com>

[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 <21126786+syuoni@users.noreply.github.com>

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

Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>

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

Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>

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

Signed-off-by: Yiqing Yan <yiqingy@nvidia.com>

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

Signed-off-by: qqiao <qqiao@nvidia.com>

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

Signed-off-by: Stefan Niebler <82932102+stnie@users.noreply.github.com>

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

Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com>

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

Signed-off-by: Venky Ganesh <23023424+venkywonka@users.noreply.github.com>

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

Signed-off-by: Chenghao Zhang <211069071+nvchenghaoz@users.noreply.github.com>

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

Signed-off-by: Eran Geva <19514940+MrGeva@users.noreply.github.com>

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

Signed-off-by: Yuening Li <62227368+Yuening-wa@users.noreply.github.com>

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

Signed-off-by: junq <22017000+QiJune@users.noreply.github.com>

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

Signed-off-by: Shijie Wang <jaywan@nvidia.com>
Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>
Signed-off-by: Shijie <jaywan@nvidia.com>
Co-authored-by: Yukun He <23156053+hyukn@users.noreply.github.com>

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

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>

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

Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com>

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

Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>

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

Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com>

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

Signed-off-by: Xin He (SW-GPU) <200704525+xinhe-nv@users.noreply.github.com>

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

Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>

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

Signed-off-by: Ruodi Lu <ruodil@users.noreply.github.com>
Co-authored-by: Ruodi Lu <ruodil@users.noreply.github.com>

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

Signed-off-by: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com>

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

Signed-off-by: shuyix <219646547+shuyixiong@users.noreply.github.com>

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

Signed-off-by: qqiao <qqiao@nvidia.com>

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

Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>

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

Signed-off-by: Yuanjing Xue <197832395+yuanjingx87@users.noreply.github.com>

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

Signed-off-by: qqiao <qqiao@nvidia.com>

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

Signed-off-by: Eran Geva <19514940+MrGeva@users.noreply.github.com>

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

Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com>

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

Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>

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

Signed-off-by: Jin Li <59594262+liji-nv@users.noreply.github.com>

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

Signed-off-by: Superjomn <328693+Superjomn@users.noreply.github.com>
Signed-off-by: Erin Ho <14718778+hchings@users.noreply.github.com>
Signed-off-by: Yan Chunwei <328693+Superjomn@users.noreply.github.com>
Co-authored-by: Erin Ho <14718778+hchings@users.noreply.github.com>

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

Signed-off-by: thorjohnsen <41591019+thorjohnsen@users.noreply.github.com>
Signed-off-by: Thor Johnsen <41591019+thorjohnsen@users.noreply.github.com>
Co-authored-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
Co-authored-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

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

Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>

[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 <133824995+2ez4bz@users.noreply.github.com>

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

Signed-off-by: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com>

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

Signed-off-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>

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

Signed-off-by: Neta Zmora <96238833+nzmora-nvidia@users.noreply.github.com>

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

Signed-off-by: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com>

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

Signed-off-by: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com>
Signed-off-by: greg-kwasniewski1 <213329731+greg-kwasniewski1@users.noreply.github.com>
Co-authored-by: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com>

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

Signed-off-by: Yu Chi Li <yuchil@nvidia.com>

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

Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com>

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

Signed-off-by: Chang Liu (Enterprise Products) <9713593+chang-l@users.noreply.github.com>

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

Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>

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

Signed-off-by: Anurag Mukkara <134339030+amukkara@users.noreply.github.com>

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

Signed-off-by: Yiqing Yan <yiqingy@nvidia.com>
Co-authored-by: Yanchao Lu <yanchaol@nvidia.com>

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

Signed-off-by: yufeiwu <230315618+yufeiwu-nv@users.noreply.github.com>

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

Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com>

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

Signed-off-by: yuhangh <58161490+heyuhhh@users.noreply.github.com>

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

Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com>

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

Signed-off-by: Suyog Gupta <41447211+suyoggupta@users.noreply.github.com>

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

Signed-off-by: Bo Li <22713281+bobboli@users.noreply.github.com>

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

Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com>

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

Signed-off-by: FredricZ-2007 <226039983+fredricz-20070104@users.noreply.github.com>

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

Signed-off-by: Pengyun Lin <81065165+LinPoly@users.noreply.github.com>

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

Signed-off-by: Jie Li <lijie@nvidia.com>
Co-authored-by: Jie Li <lijie@nvidia.com>

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

Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com>

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

Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>

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

Signed-off-by: Perkz Zheng <67892460+PerkzZheng@users.noreply.github.com>

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

Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>

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

Signed-off-by: Patrice Castonguay <55748270+pcastonguay@users.noreply.github.com>

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

Signed-off-by: Michal Guzek <mguzek@nvidia.com>

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

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>

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

Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>

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

Signed-off-by: Gal Hubara Agam <96368689+galagam@users.noreply.github.com>

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

Signed-off-by: weimingc <17592131+meenchen@users.noreply.github.com>

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

Signed-off-by: Lucas Liebenwein <11156568+lucaslie@users.noreply.github.com>

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

Signed-off-by: Govind Ramnarayan <105831528+govind-ramnarayan@users.noreply.github.com>

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

Signed-off-by: Wanli Jiang <35160485+Wanli-Jiang@users.noreply.github.com>

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

Signed-off-by: Yiqing Yan <yiqingy@nvidia.com>

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

Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com>

[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 <yiqingy@nvidia.com>

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

Signed-off-by: Nekofish-L <liuxiangyang@mail.ustc.edu.cn>

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

Signed-off-by: Jin Li <59594262+liji-nv@users.noreply.github.com>

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

Signed-off-by: Tailing Yuan <yuantailing@gmail.com>

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

Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com>

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

Signed-off-by: Tal Cherckez <127761168+tcherckez-nvidia@users.noreply.github.com>
Signed-off-by: tcherckez-nvidia <127761168+tcherckez-nvidia@users.noreply.github.com>
Co-authored-by: Neta Zmora <nzmora@nvidia.com>

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

Signed-off-by: Yan Chunwei <328693+Superjomn@users.noreply.github.com>

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

Signed-off-by: Yoray Zack <62789610+zackyoray@users.noreply.github.com>
Signed-off-by: zackyoray <yorayz@nvidia.com>

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

Signed-off-by: Ruodi Lu <ruodil@users.noreply.github.com>
Co-authored-by: Ruodi Lu <ruodil@users.noreply.github.com>

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

Signed-off-by: Jin Li <59594262+liji-nv@users.noreply.github.com>

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

Signed-off-by: Anthony Chang <27950904+rosenrodt@users.noreply.github.com>

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

Signed-off-by: Xin He (SW-GPU) <200704525+xinhe-nv@users.noreply.github.com>
Signed-off-by: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com>
Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>
Co-authored-by: Yanchao Lu <yanchaol@nvidia.com>

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

Signed-off-by: Aurelien Chartier <2567591+achartier@users.noreply.github.com>

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

Signed-off-by: Parker Drake <pdrake@nvidia.com>

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

Signed-off-by: Yiqing Yan <yiqingy@nvidia.com>

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

Signed-off-by: Balaram Buddharaju <169953907+brb-nv@users.noreply.github.com>

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

Signed-off-by: Yiqing Yan <yiqingy@nvidia.com>

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

Signed-off-by: thorjohnsen <41591019+thorjohnsen@users.noreply.github.com>

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

Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>

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

Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>

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

Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>

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

Signed-off-by: Govind Ramnarayan <105831528+govind-ramnarayan@users.noreply.github.com>

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

Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com>

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

Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>

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

Signed-off-by: yufeiwu <230315618+yufeiwu-nv@users.noreply.github.com>

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

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

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

Signed-off-by: Robin Kobus <19427718+Funatiq@users.noreply.github.com>

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

Signed-off-by: jthomson04 <jwillthomson19@gmail.com>

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

Signed-off-by: Yuanjing Xue <197832395+yuanjingx87@users.noreply.github.com>

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

Signed-off-by: Chenghao Zhang <211069071+nvchenghaoz@users.noreply.github.com>

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

Signed-off-by: Mike Iovine <miovine@nvidia.com>

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

Signed-off-by: Iman Tabrizian <10105175+tabrizian@users.noreply.github.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>

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

Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>

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

Signed-off-by: Yan Chunwei <328693+Superjomn@users.noreply.github.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>

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

Signed-off-by: Pengyun Lin <81065165+LinPoly@users.noreply.github.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>

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

Signed-off-by: junq <22017000+QiJune@users.noreply.github.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>

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

Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>

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

Signed-off-by: Yiqing Yan <yiqingy@nvidia.com>
Co-authored-by: Yanchao Lu <yanchaol@nvidia.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>

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

Signed-off-by: Yan Chunwei <328693+Superjomn@users.noreply.github.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>

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

Signed-off-by: junq <22017000+QiJune@users.noreply.github.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>

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

Signed-off-by: junq <22017000+QiJune@users.noreply.github.com>
Signed-off-by: Mike Iovine <6158008+mikeiovine@users.noreply.github.com>
Signed-off-by: Mike Iovine <miovine@nvidia.com>

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

Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com>

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

Signed-off-by: shuyix <219646547+shuyixiong@users.noreply.github.com>

[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 <xxi@nvidia.com>

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

Signed-off-by: Enwei Zhu <21126786+syuoni@users.noreply.github.com>

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

Signed-off-by: ixlmar <206748156+ixlmar@users.noreply.github.com>

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

Signed-off-by: Jonas Li <6110159+longlee0622@users.noreply.github.com>
Co-authored-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>

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

Signed-off-by: Superjomn <328693+Superjomn@users.noreply.github.com>

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

Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com>

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

Signed-off-by: Junyi Xu <219237550+JunyiXu-nv@users.noreply.github.com>

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

Signed-off-by: qqiao <qqiao@nvidia.com>

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

Signed-off-by: Yanchao Lu <yanchaol@nvidia.com>

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

Signed-off-by: Chenjie Luo <chenjiel@nvidia.com>

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

Signed-off-by: Ludwig Schneider <lschneider@nvidia.com>

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

Signed-off-by: Chenfei Zhang <chenfeiz@nvidia.com>

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

Signed-off-by: zhengd-nv <200704041+zhengd-nv@users.noreply.github.com>

[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 <226039983+fredricz-20070104@users.noreply.github.com>

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

Signed-off-by: Yukun He <23156053+hyukn@users.noreply.github.com>

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

Signed-off-by: TensorRT LLM <90828364+tensorrt-cicd@users.noreply.github.com>

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

Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>

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

Signed-off-by: Ruodi Lu <ruodil@users.noreply.github.com>
Co-authored-by: Ruodi Lu <ruodil@users.noreply.github.com>
Co-authored-by: yufeiwu-nv <230315618+yufeiwu-nv@users.noreply.github.com>
Co-authored-by: Larry Xu <197874197+LarryXFly@users.noreply.github.com>

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

Signed-off-by: qqiao <qqiao@nvidia.com>

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

Signed-off-by: Fanrong Li <23290157+lfr-0531@users.noreply.github.com>

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

Signed-off-by: Mindy Li <11663212+limin2021@users.noreply.github.com>

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

Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>

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

Signed-off-by: xinhe-nv <200704525+xinhe-nv@users.noreply.github.com>

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

Signed-off-by: zhengd-nv <200704041+zhengd-nv@users.noreply.github.com>
Signed-off-by: Zheng Duan <200704041+zhengd-nv@users.noreply.github.com>

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

Signed-off-by: FredricZ-2007 <226039983+fredricz-20070104@users.noreply.github.com>
Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
Co-authored-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>

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

Signed-off-by: FredricZ-2007 <226039983+fredricz-20070104@users.noreply.github.com>

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

Signed-off-by: Lizhi Zhou <1432185+reasonsolo@users.noreply.github.com>

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

Signed-off-by: Eran Geva <19514940+MrGeva@users.noreply.github.com>

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

Signed-off-by: qgai <qgai@nvidia.com>

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 <liweim@nvidia.com>

placement, asyncllm, and basic tests
Signed-off-by: Erin Ho <14718778+hchings@users.noreply.github.com>

connect sleep and wakeup; Add support to pass None to update_weights
Signed-off-by: Erin Ho <14718778+hchings@users.noreply.github.com>

Batching ctx for IFB scheduler

Signed-off-by: Yuan Tong <13075180+tongyuantongyu@users.noreply.github.com>

accuracy WAR for TP>1: always use AllReduceStrategy.NCCL, refactored
Signed-off-by: Erin Ho <14718778+hchings@users.noreply.github.com>

fix e2e integration

Signed-off-by: Superjomn <328693+Superjomn@users.noreply.github.com>

update asyncllm, other nits
Signed-off-by: Erin Ho <14718778+hchings@users.noreply.github.com>

fix init setup

Signed-off-by: Erin Ho <14718778+hchings@users.noreply.github.com>

Fix TRTLLMSampler logprobs perf

Signed-off-by: Yuan Tong <13075180+tongyuantongyu@users.noreply.github.com>

fix and cleanup
Signed-off-by: Erin Ho <14718778+hchings@users.noreply.github.com>

fix server

Signed-off-by: Erin Ho <14718778+hchings@users.noreply.github.com>

Revert "Batching ctx for IFB scheduler"

This reverts commit b51aac0

Signed-off-by: Yuan Tong <13075180+tongyuantongyu@users.noreply.github.com>

update & address comments

Signed-off-by: Erin Ho <14718778+hchings@users.noreply.github.com>
codego7250 pushed a commit to codego7250/TensorRT-LLM that referenced this pull request Dec 11, 2025
…DIA#9461)

Signed-off-by: Chenghao Zhang <211069071+nvchenghaoz@users.noreply.github.com>
Co-authored-by: Suyog Gupta <41447211+suyoggupta@users.noreply.github.com>
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3 participants