-
Notifications
You must be signed in to change notification settings - Fork 1.8k
[None][chore] Update disagg benchmark configs #8289
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Conversation
Signed-off-by: Xianjie <5410381+qiaoxj07@users.noreply.github.com>
📝 WalkthroughWalkthroughUpdates worker config generation to simplify a flag, add LM head TP toggle tied to attention DP, and enable low-precision MoE combine. Modifies the Slurm worker start script to set GC-disabling env vars and revise nsys profiling setup, including role-specific start/stop windows and filename patterns. Changes
Sequence Diagram(s)sequenceDiagram
autonumber
participant SLURM as SLURM Job Env
participant Script as start_worker.sh
participant NSYS as nsys
participant LLM as trtllm-llmapi-launch
SLURM->>Script: Launch with env (role, instance_id, SLURM_PROCID, enable_nsys)
Script->>Script: export TRTLLM_SERVER_DISABLE_GC=1, TRTLLM_WORKER_DISABLE_GC=1
alt enable_nsys = true
Script->>NSYS: Construct nsys file prefix with role and IDs
alt role == GEN
Script->>NSYS: Set TLLM_PROFILE_START_STOP=200-250
Script->>Script: nsys_prefix = profiling command
else role == CTX
Script->>NSYS: Set TLLM_PROFILE_START_STOP=10-30
Script->>Script: nsys_prefix = profiling command
end
else enable_nsys = false
Script->>Script: nsys_prefix empty
end
Script->>LLM: Execute with nsys_prefix (if set)
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Pre-merge checks and finishing touches❌ Failed checks (1 warning)
✅ Passed checks (2 passed)
✨ Finishing touches
🧪 Generate unit tests (beta)
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. Comment |
There was a problem hiding this 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
Caution
Some comments are outside the diff and can’t be posted inline due to platform limitations.
⚠️ Outside diff range comments (2)
examples/disaggregated/slurm/benchmark/gen_worker_config.py (2)
1-6: Add the required NVIDIA Apache-2.0 copyright header.The file is missing the required copyright header at the top.
As per coding guidelines.
Add the copyright header at the top of the file:
+# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import argparse import os
25-49: Update the docstring to match the function signature.The docstring documents parameters that don't exist in the function signature (
config_path,model_path,num_ctx_servers,num_gen_servers,worker_start_port,server_port) and is missing documentation for the actual first parameterwork_dir.Update the docstring to accurately reflect the function signature:
""" Generate configuration YAML file for disaggregated inference. Args: - config_path: Path to save the config file - model_path: Path to the model - num_ctx_servers: Number of context servers + work_dir: Directory to save the config files ctx_tp_size: Tensor parallel size for context servers ctx_pp_size: Pipeline parallel size for context servers ctx_batch_size: Batch size for context servers ctx_max_num_tokens: Max number of tokens for context servers ctx_max_seq_len: Max sequence length for context servers ctx_free_gpu_memory_fraction: Free GPU memory fraction for context servers ctx_enable_attention_dp: Enable attention DP for context servers - num_gen_servers: Number of generation servers gen_tp_size: Tensor parallel size for generation servers gen_pp_size: Pipeline parallel size for generation servers gen_batch_size: Batch size for generation servers gen_max_num_tokens: Max number of tokens for generation servers + gen_max_seq_len: Max sequence length for generation servers gen_enable_attention_dp: Enable attention DP for generation servers gen_gpu_memory_fraction: GPU memory fraction for generation servers eplb_num_slots: Number of slots for eplb - worker_start_port: Start port for workers - server_port: Server port + mtp_size: Number of nextn layers for MTP + cache_transceiver_max_num_tokens: Max number of tokens for cache transceiver """
🧹 Nitpick comments (2)
examples/disaggregated/slurm/benchmark/start_worker.sh (1)
67-77: Use an array for the nsys wrapper commandBuilding the whole
nsys profile …invocation in a single quoted string forces you to escape inner quotes, triggers SC2089, and makes the command fragile if you later add arguments containing spaces. Defining the wrapper as an array keeps each flag/argument isolated and avoids the literal backslash issue ShellCheck warns about.- nsys_prefix="" - nsys_file=${work_dir}/nsys_worker_proc_${role}_${instance_id}_${SLURM_PROCID} + nsys_file=${work_dir}/nsys_worker_proc_${role}_${instance_id}_${SLURM_PROCID} export TLLM_PROFILE_RECORD_GC=1 export TLLM_NVTX_DEBUG=1 - nsys_prefix="nsys profile -e \"NSYS_MPI_STORE_TEAMS_PER_RANK=1\" -o ${nsys_file} -f true -t cuda,nvtx,python-gil -c cudaProfilerApi --cuda-graph-trace node --capture-range-end=stop --gpu-metrics-devices=none" + nsys_prefix=( + nsys profile + -e "NSYS_MPI_STORE_TEAMS_PER_RANK=1" + -o "${nsys_file}" + -f true + -t cuda,nvtx,python-gil + -c cudaProfilerApi + --cuda-graph-trace node + --capture-range-end=stop + --gpu-metrics-devices=none + ) if [ "${role}" = "GEN" ]; then export TLLM_PROFILE_START_STOP=200-250 echo "nsys is enabled on gen_gpus" elif [ "${role}" = "CTX" ]; then export TLLM_PROFILE_START_STOP=10-30 echo "nsys is enabled on ctx_gpus" fi - ${nsys_prefix} trtllm-llmapi-launch ${numa_bind_cmd} \ + "${nsys_prefix[@]}" trtllm-llmapi-launch ${numa_bind_cmd} \examples/disaggregated/slurm/benchmark/gen_worker_config.py (1)
61-61: Unify boolean assignment pattern with line 95.Line 61 uses the verbose
True if ctx_enable_attention_dp else Falsepattern, while line 95 was simplified to just usegen_enable_attention_dpdirectly. Since both parameters are already booleans, apply the same simplification here for consistency.Apply this diff to simplify the boolean assignment:
- 'enable_attention_dp': True if ctx_enable_attention_dp else False, + 'enable_attention_dp': ctx_enable_attention_dp,
📜 Review details
Configuration used: Path: .coderabbit.yaml
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (2)
examples/disaggregated/slurm/benchmark/gen_worker_config.py(2 hunks)examples/disaggregated/slurm/benchmark/start_worker.sh(2 hunks)
🧰 Additional context used
📓 Path-based instructions (3)
**/*.{h,hpp,hh,hxx,cpp,cxx,cc,cu,cuh,py}
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
Use only spaces, no tabs; indent with 4 spaces.
Files:
examples/disaggregated/slurm/benchmark/gen_worker_config.py
**/*.py
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
**/*.py: Python code must target Python 3.8+.
Indent Python code with 4 spaces; do not use tabs.
Maintain module namespace when importing; prefer 'from package.subpackage import foo' then 'foo.SomeClass()' instead of importing the class directly.
Python filenames should be snake_case (e.g., some_file.py).
Python classes use PascalCase names.
Functions and methods use snake_case names.
Local variables use snake_case; prefix 'k' for variables that start with a number (e.g., k_99th_percentile).
Global variables use upper SNAKE_CASE prefixed with 'G' (e.g., G_MY_GLOBAL).
Constants use upper SNAKE_CASE (e.g., MY_CONSTANT).
Avoid shadowing variables from an outer scope.
Initialize all externally visible members of a class in the constructor.
Prefer docstrings for interfaces that may be used outside a file; comments for in-function or file-local interfaces.
Use Google-style docstrings for classes and functions (Sphinx-parsable).
Document attributes and variables inline so they render under the class/function docstring.
Avoid reflection when a simpler, explicit approach suffices (e.g., avoid dict(**locals()) patterns).
In try/except, catch the most specific exceptions possible.
For duck-typing try/except, keep the try body minimal and use else for the main logic.
Files:
examples/disaggregated/slurm/benchmark/gen_worker_config.py
**/*.{cpp,cxx,cc,h,hpp,hh,hxx,cu,cuh,py}
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
Prepend the NVIDIA Apache-2.0 copyright header with current year to the top of all source files (e.g., .cpp, .h, .cu, .py).
Files:
examples/disaggregated/slurm/benchmark/gen_worker_config.py
🪛 Shellcheck (0.11.0)
examples/disaggregated/slurm/benchmark/start_worker.sh
[warning] 70-70: Quotes/backslashes will be treated literally. Use an array.
(SC2089)
⏰ 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 (3)
examples/disaggregated/slurm/benchmark/gen_worker_config.py (3)
95-95: Good simplification!Removing the redundant ternary operator improves readability since
gen_enable_attention_dpis already a boolean.
96-96: Verify that LM head TP should always match attention DP setting.The new flag
enable_lm_head_tp_in_adpis unconditionally tied togen_enable_attention_dp. Please confirm this coupling is correct for all use cases, or if this flag should be independently configurable.Consider whether this should be a separate command-line argument:
parser.add_argument("--gen_enable_lm_head_tp_in_adp", dest='gen_enable_lm_head_tp_in_adp', action='store_true', help="Enable LM head TP in attention DP for generation servers")And update the function signature and config generation accordingly.
113-113: Verify that low-precision MoE combine should always be enabled.The new flag
use_low_precision_moe_combineis unconditionally set toTrue. Please confirm this is the desired behavior for all benchmark configurations, or if this should be made configurable via a command-line argument.
Signed-off-by: Xianjie Qiao <5410381+qiaoxj07@users.noreply.github.com>
|
/bot skip --comment "slurm scripts are not tested in the pipeline" |
|
PR_Github #21195 [ skip ] triggered by Bot |
|
PR_Github #21195 [ skip ] completed with state |
Summary by CodeRabbit
New Features
Refactor
Description
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
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 thestage-listparameter 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.mdand the
scripts/test_to_stage_mapping.pyhelper.kill
killKill all running builds associated with pull request.
skip
skip --comment COMMENTSkip 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-pipelineReuse 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.