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Search.setIndex({"alltitles": {"(H200 Only) Using OpenAI Triton Kernels for MoE": [[21, "h200-only-using-openai-triton-kernels-for-moe"]], "(H200/H100 Only) Using OpenAI Triton Kernels for MoE": [[21, "h200-h100-only-using-openai-triton-kernels-for-moe"]], "1. Add the field to TorchLlmArgs": [[36, "add-the-field-to-torchllmargs"]], "1. Balance Ratio": [[8, "balance-ratio"]], "1. Committed APIs": [[36, "committed-apis"]], "1. Download TensorRT LLM": [[2, "download-tensorrt-llm"]], "1. Expert Replication and Load Balancing": [[99, "expert-replication-and-load-balancing"]], "1. Implement the method in _TorchLLM": [[36, "implement-the-method-in-torchllm"]], "1. Initial Approach for Weight Updating - cudaMemcpyAsync": [[20, "initial-approach-for-weight-updating-cudamemcpyasync"]], "1. Knob Naming": [[36, "knob-naming"]], "1. Scheduler (Leader) Interface (KvCacheConnectorScheduler)": [[92, "scheduler-leader-interface-kvcacheconnectorscheduler"]], "1. Using a Model from the Hugging Face Hub": [[154, "using-a-model-from-the-hugging-face-hub"]], "1. Weights size": [[147, "weights-size"]], "2. Activation size": [[147, "activation-size"]], "2. Avoiding Deadlock - Multithreaded CPU Copy with Managed Memory": [[20, "avoiding-deadlock-multithreaded-cpu-copy-with-managed-memory"]], "2. Custom EP Communication Kernels": [[99, "custom-ep-communication-kernels"]], "2. Download the DeepSeek R1 models": [[2, "download-the-deepseek-r1-models"]], "2. Hierarchical Configuration": [[36, "hierarchical-configuration"]], "2. Non-committed APIs": [[36, "non-committed-apis"]], "2. Speed-of-Light Throughput (SOL TPS)": [[8, "speed-of-light-throughput-sol-tps"]], "2. Update the API schema": [[36, "update-the-api-schema"], [36, "id1"]], "2. Using a Local Hugging Face Model": [[154, "using-a-local-hugging-face-model"]], "2. Worker Interface (KvCacheConnectorWorker)": [[92, "worker-interface-kvcacheconnectorworker"]], "3. Build and run TensorRT LLM container": [[2, "build-and-run-tensorrt-llm-container"]], "3. Expert Parallelism Load Balancer (EPLB)": [[99, "expert-parallelism-load-balancer-eplb"]], "3. I/O tensors": [[147, "i-o-tensors"]], "3. NUMA Memory to Prevent Page Migration": [[20, "numa-memory-to-prevent-page-migration"]], "3. Prefer LlmArgs Over Environment Variables": [[36, "prefer-llmargs-over-environment-variables"]], "3. Run validation tests": [[36, "run-validation-tests"]], "3.1 Runtime and decoder buffers except KV cache tensor": [[147, "runtime-and-decoder-buffers-except-kv-cache-tensor"]], "3.2 KV cache tensor": [[147, "kv-cache-tensor"]], "4. Addressing the TLB Thrashing Issue": [[20, "addressing-the-tlb-thrashing-issue"]], "4. Compile and Install TensorRT LLM": [[2, "compile-and-install-tensorrt-llm"]], "5. Optional: Tune GPU clocks": [[2, "optional-tune-gpu-clocks"]], "6. Dataset preparation": [[2, "dataset-preparation"]], "@record_signature to Decorate Functionals Requiring FLayerInfo": [[115, "record-signature-to-decorate-functionals-requiring-flayerinfo"]], "ADP Balance Strategy": [[8, null]], "ADP Balance Strategy: Coordinated Waiting Mechanism": [[8, "adp-balance-strategy-coordinated-waiting-mechanism"]], "ADP Balance with Context Wait Implementation": [[8, "adp-balance-with-context-wait-implementation"]], "ADP Balance with Full Strategy Implementation": [[8, "adp-balance-with-full-strategy-implementation"]], "ALiBi": [[79, "alibi"], [113, "alibi"]], "API": [[111, "api"]], "API Change Principles": [[36, "api-change-principles"]], "API Changes": [[122, "api-changes"], [160, "api-changes"], [160, "id4"], [160, "id9"], [160, "id13"], [160, "id24"], [160, "id29"], [160, "id34"], [160, "id39"], [160, "id46"], [160, "id51"], [160, "id57"], [160, "id63"], [160, "id69"]], "API Reference": [[92, "api-reference"], [105, null], [155, null]], "API Schema Management": [[36, "api-schema-management"]], "API Types and Stability Guarantees": [[36, "api-types-and-stability-guarantees"]], "ATen IR Optimization": [[104, "aten-ir-optimization"]], "AWQ Quantization Scaling Factors": [[124, "awq-quantization-scaling-factors"]], "About": [[24, "about"], [27, "about"]], "About Speculative Sampling": [[121, "about-speculative-sampling"]], "About TensorRT LLM": [[158, "about-tensorrt-llm"]], "About extra_llm_api_options": [[26, "about-extra-llm-api-options"]], "Access & Licensing": [[31, "access-licensing"], [32, "access-licensing"]], "Accuracy": [[7, "accuracy"]], "Accuracy studies for Relaxed Acceptance": [[14, "accuracy-studies-for-relaxed-acceptance"]], "Achieving speedup with MTP speculative decoding": [[14, "achieving-speedup-with-mtp-speculative-decoding"]], "Acknowledgement": [[8, "acknowledgement"], [16, "acknowledgement"], [17, "acknowledgement"]], "Acknowledgements": [[10, "acknowledgements"], [11, "acknowledgements"], [12, "acknowledgements"], [20, "acknowledgements"]], "Acknowledgment": [[13, "acknowledgment"], [14, "acknowledgment"], [15, "acknowledgment"]], "Activation": [[142, "module-tensorrt_llm.layers.activation"]], "Adding a Model": [[123, null]], "Adding a New Argument": [[36, "adding-a-new-argument"]], "Adding a New Method": [[36, "adding-a-new-method"]], "Adding a New Model": [[156, null]], "Adding a New Model in PyTorch Backend": [[161, null]], "Additional Outputs": [[78, null]], "Advanced Configuration": [[80, "advanced-configuration"], [164, "advanced-configuration"]], "Advanced Usage": [[85, "advanced-usage"], [95, "advanced-usage"], [170, "advanced-usage"], [173, "advanced-usage"]], "Advanced topics": [[106, "advanced-topics"]], "Algorithm": [[119, "algorithm"]], "Algorithm & Complexity": [[19, "algorithm-complexity"]], "An Example: Implement Dynasor-CoT on Scaffolding": [[11, "an-example-implement-dynasor-cot-on-scaffolding"]], "Announcements": [[160, "announcements"], [160, "id67"]], "Architecture": [[11, "architecture"], [36, "architecture"], [92, "architecture"], [101, "architecture"]], "Architecture Overview": [[40, null], [99, "architecture-overview"]], "Architecture Ovewiew": [[162, null]], "Asyncio-Based Generation": [[47, "asyncio-based-generation"]], "Attempts at Online EPLB Implementation": [[20, "attempts-at-online-eplb-implementation"]], "Attention": [[142, "module-tensorrt_llm.layers.attention"], [163, null]], "Attention Backends": [[79, "attention-backends"], [163, "attention-backends"]], "Attention Kernel": [[13, "attention-kernel"]], "Attention Module": [[99, "attention-module"]], "Attention Weights": [[124, "attention-weights"]], "Attention Window Size": [[93, "attention-window-size"]], "Attention backends": [[86, "attention-backends"], [171, "attention-backends"]], "Attention for MTP": [[14, "attention-for-mtp"]], "Auto Multi-stream": [[104, "auto-multi-stream"]], "AutoDeploy": [[170, null]], "AutoDeploy (Prototype)": [[85, null]], "Autoregressive MTP Layers": [[13, "autoregressive-mtp-layers"]], "Auto\u2011Enablement with Heuristic": [[19, "autoenablement-with-heuristic"]], "Avoiding unnecessary --disable-fail-fast usage": [[37, "avoiding-unnecessary-disable-fail-fast-usage"]], "B200 max-throughput for R1 with FP16 KV cache": [[2, "b200-max-throughput-for-r1-with-fp16-kv-cache"]], "B200 max-throughput for R1-0528 with FP8 KV cache": [[2, "b200-max-throughput-for-r1-0528-with-fp8-kv-cache"]], "B200 min-latency": [[2, "b200-min-latency"]], "Background": [[13, "background"], [14, "background"], [95, "background"], [96, "background"], [173, "background"]], "Background & Motivation": [[19, "background-motivation"]], "Background Knowledge": [[104, "background-knowledge"]], "Background and Challenges": [[10, "background-and-challenges"]], "Background and Motivation": [[11, "background-and-motivation"]], "BaseCheckpointLoader": [[87, "basecheckpointloader"], [172, "basecheckpointloader"]], "BaseConfigLoader": [[87, "baseconfigloader"], [172, "baseconfigloader"]], "BaseWeightLoader": [[87, "baseweightloader"], [172, "baseweightloader"]], "BaseWeightMapper": [[87, "baseweightmapper"], [172, "baseweightmapper"]], "Baseline Performance": [[8, "baseline-performance"]], "Baseline: Round-Robin Token Distribution": [[8, "baseline-round-robin-token-distribution"]], "Basic Implementation": [[14, "basic-implementation"]], "Basic Performance Configuration (autodeploy_config.yaml)": [[80, "basic-performance-configuration-autodeploy-config-yaml"], [164, "basic-performance-configuration-autodeploy-config-yaml"]], "Basic Test": [[28, "basic-test"], [29, "basic-test"], [31, "basic-test"], [32, "basic-test"], [33, "basic-test"], [34, "basic-test"]], "Basic Usage": [[80, "basic-usage"], [87, "basic-usage"], [95, "basic-usage"], [101, "basic-usage"], [164, "basic-usage"], [172, "basic-usage"], [173, "basic-usage"]], "Basics": [[55, "basics"]], "Beam search": [[102, "beam-search"]], "Beam-Search": [[79, "beam-search"], [113, "beam-search"]], "Before Benchmarking": [[42, "before-benchmarking"], [132, "before-benchmarking"]], "Before You Begin: TensorRT-LLM LLM-API": [[133, "before-you-begin-tensorrt-llm-llm-api"]], "Benchmark": [[2, "benchmark"], [2, "id1"], [7, "benchmark"], [30, "benchmark"]], "Benchmarking Default Performance": [[133, null]], "Benchmarking Performance": [[28, "benchmarking-performance"], [29, "benchmarking-performance"], [31, "benchmarking-performance"], [32, "benchmarking-performance"], [33, "benchmarking-performance"], [34, "benchmarking-performance"]], "Benchmarking a non-Medusa Low Latency Engine": [[132, "benchmarking-a-non-medusa-low-latency-engine"]], "Benchmarking with LoRA Adapters in PyTorch workflow": [[42, "benchmarking-with-lora-adapters-in-pytorch-workflow"], [132, "benchmarking-with-lora-adapters-in-pytorch-workflow"]], "Benchmarking with trtllm-bench": [[80, null], [133, "benchmarking-with-trtllm-bench"], [164, null]], "Best Practices": [[36, "best-practices"], [99, 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"offline-ep-load-balancer"], [16, "id1"]], "Offline Quantization with ModelOpt": [[100, "offline-quantization-with-modelopt"]], "Offloading to host memory": [[117, "offloading-to-host-memory"]], "Online API: trtllm-serve": [[90, "online-api-trtllm-serve"]], "Online EP Load Balancer": [[16, "online-ep-load-balancer"], [16, "id2"]], "Online Serving Examples": [[77, null]], "Only collect specific iterations": [[41, "only-collect-specific-iterations"], [131, "only-collect-specific-iterations"]], "OpenAI Chat Client": [[72, null]], "OpenAI Chat Client for Multimodal": [[73, null]], "OpenAI Completion Client": [[74, null]], "OpenAI Completion Client with JSON Schema": [[76, null]], "OpenAI-Compatible Server via trtllm-serve": [[96, "openai-compatible-server-via-trtllm-serve"]], "Openai Completion Client For Lora": [[75, null]], "Operation Fusion": [[104, "operation-fusion"]], "Optimization Highlights": [[20, "optimization-highlights"]], "Optimizations": [[96, "optimizations"]], "Optimize PyTorch native copy and concat using torch.compile": [[12, "optimize-pytorch-native-copy-and-concat-using-torch-compile"]], "Optimizing DeepSeek R1 Throughput on NVIDIA Blackwell GPUs: A Deep Dive for Developers": [[15, null]], "Option 1. Use weekly release NGC docker image": [[18, "option-1-use-weekly-release-ngc-docker-image"]], "Option 1: Build TensorRT LLM in One Step": [[106, "option-1-build-tensorrt-llm-in-one-step"]], "Option 1: Full Build with C++ Compilation": [[106, "option-1-full-build-with-c-compilation"]], "Option 2. Build TensorRT LLM Docker image (Alternative way)": [[18, "option-2-build-tensorrt-llm-docker-image-alternative-way"]], "Option 2: Container for building TensorRT LLM Step-by-Step": [[106, "option-2-container-for-building-tensorrt-llm-step-by-step"]], "Option 2: Python-Only Build without C++ Compilation": [[106, "option-2-python-only-build-without-c-compilation"]], "Options": [[78, "options"]], "Other Build Modes": [[132, "other-build-modes"]], "Out of memory issues": [[2, "out-of-memory-issues"]], "Out-of-Tree Models": [[156, "out-of-tree-models"], [161, "out-of-tree-models"]], "Overlap Optimization": [[17, "overlap-optimization"], [88, "overlap-optimization"]], "Overlap Scheduler": [[40, "overlap-scheduler"], [97, null], [174, null]], "Overlap kernels using programmatic dependent launch (PDL)": [[12, "overlap-kernels-using-programmatic-dependent-launch-pdl"]], "Overriding Docker Compose configuration": [[38, "overriding-docker-compose-configuration"]], "Overview": [[12, "overview"], [36, "overview"], [43, null], [87, "overview"], [92, "overview"], [114, "overview"], [124, "overview"], [126, "overview"], [127, "overview"], [158, null], [172, "overview"]], "Overview of Parallelism Strategies": [[99, "overview-of-parallelism-strategies"]], "Packed Tensors": [[79, "packed-tensors"]], "Padded and Packed Tensors": [[113, "padded-and-packed-tensors"]], "Page": [[116, "page"]], "Paged Attention, IFB, and Request Scheduling": [[98, null]], "Paged Context Attention": [[139, "paged-context-attention"]], "Paged KV Cache": [[79, "paged-kv-cache"], [98, "paged-kv-cache"], [113, "paged-kv-cache"]], "Parallel strategy": [[15, "parallel-strategy"]], "Parallelism Mapping Support": [[132, "parallelism-mapping-support"]], "Parallelism Strategy": [[13, "parallelism-strategy"]], "Parallelism in TensorRT LLM": [[99, null]], "Pareto Analysis: Throughput-Latency Trade-off Optimization": [[8, "pareto-analysis-throughput-latency-trade-off-optimization"]], "Partial Reuse": [[93, 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Analysis": [[10, "performance-and-analysis"]], "Performance expectations": [[117, "performance-expectations"]], "Performance study": [[16, "performance-study"]], "Performance with GEMM + SwiGLU Fusion": [[135, "performance-with-gemm-swiglu-fusion"]], "Performance with GEMM Plugin": [[139, "performance-with-gemm-plugin"]], "Performance with Low Latency GEMM plugin": [[135, "performance-with-low-latency-gemm-plugin"]], "Performance with Quantized KV Cache": [[135, "performance-with-quantized-kv-cache"]], "Performance with Reduce Norm Fusion": [[139, "performance-with-reduce-norm-fusion"]], "Performance with Reduce Norm Fusion + User Buffers:": [[135, "performance-with-reduce-norm-fusion-user-buffers"]], "Performance with multiple profiles": [[139, "performance-with-multiple-profiles"]], "Persistence mode": [[42, "persistence-mode"], [132, "persistence-mode"]], "Piecewise CUDA Graph": [[104, "piecewise-cuda-graph"]], "Piecewise CUDA Graph & Generation Only CUDA Graph": [[104, 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TensorRT LLM Checkpoint": [[124, "prepare-the-tensorrt-llm-checkpoint"]], "Preparing a Dataset": [[42, "preparing-a-dataset"], [43, "preparing-a-dataset"], [132, "preparing-a-dataset"]], "Prerequisite Knowledge": [[136, "prerequisite-knowledge"], [137, null]], "Prerequisites": [[9, "prerequisites"], [18, "prerequisites"], [21, "prerequisites"], [28, "prerequisites"], [29, "prerequisites"], [30, "prerequisites"], [31, "prerequisites"], [32, "prerequisites"], [33, "prerequisites"], [34, "prerequisites"], [106, "prerequisites"], [156, "prerequisites"], [161, "prerequisites"]], "Prerequisites: Install TensorRT LLM and download models": [[2, "prerequisites-install-tensorrt-llm-and-download-models"]], "Profiling specific iterations on a trtllm-bench/trtllm-serve run": [[41, "profiling-specific-iterations-on-a-trtllm-bench-trtllm-serve-run"], [131, "profiling-specific-iterations-on-a-trtllm-bench-trtllm-serve-run"]], "Promoting an API from Beta to Committed": [[36, "promoting-an-api-from-beta-to-committed"]], "Prototype Features": [[153, "prototype-features"]], "Pushing Latency Boundaries: Optimizing DeepSeek-R1 Performance on NVIDIA B200 GPUs": [[13, null]], "PyExecutor": [[162, "pyexecutor"]], "PyTorch Backend": [[153, null]], "Python Bindings for the Executor API": [[111, "python-bindings-for-the-executor-api"]], "Python Interface": [[16, "python-interface"]], "Python runtime (Not recommended to be used)": [[147, "python-runtime-not-recommended-to-be-used"]], "Quantization": [[47, "quantization"], [100, null], [145, null], [175, null]], "Quantization APIs": [[127, "quantization-apis"]], "Quantization and Dequantization (Q/DQ)": [[149, "quantization-and-dequantization-q-dq"]], "Quantization in TensorRT LLM": [[100, "quantization-in-tensorrt-llm"]], "Quantization in TensorRT-LLM": [[7, "quantization-in-tensorrt-llm"]], "Quantization in the PyTorch Flow": [[42, "quantization-in-the-pytorch-flow"], [132, "quantization-in-the-pytorch-flow"]], "Quantized KV-Cache": [[135, "quantized-kv-cache"]], "Query the OpenAI-compatible API Endpoint": [[30, "query-the-openai-compatible-api-endpoint"]], "Quick Health Check": [[9, "quick-health-check"]], "Quick Links": [[100, "quick-links"], [105, null]], "Quick Start": [[103, "quick-start"], [153, "quick-start"]], "Quick Start Example": [[154, "quick-start-example"]], "Quick Start Guide": [[159, null]], "Quick Start for Popular Models": [[35, "quick-start-for-popular-models"]], "Quick start": [[96, "quick-start"], [168, "quick-start"]], "Quickstart": [[132, "quickstart"]], "Qwen 3": [[17, "qwen-3"]], "Qwen3-235B-A22B": [[43, "qwen3-235b-a22b"]], "Qwen3-30B-A3B": [[43, "qwen3-30b-a3b"]], "Rank Weights": [[124, "rank-weights"]], "Ray Orchestrator (Prototype)": [[101, null]], "Re-balanced the sparse experts": [[13, "re-balanced-the-sparse-experts"]], "Re-inplace Optimization": [[104, "re-inplace-optimization"]], "ReDrafter": [[121, "redrafter"]], "Recommended Performance Settings": [[28, "recommended-performance-settings"], [29, "recommended-performance-settings"], [31, "recommended-performance-settings"], [32, "recommended-performance-settings"], [33, "recommended-performance-settings"], [34, "recommended-performance-settings"]], "Recompilation": [[104, "recompilation"]], "Reduce Binding and Inter-Process Communication Overhead": [[20, "reduce-binding-and-inter-process-communication-overhead"]], "Reduce Norm Fusion Plugin for Llama models:": [[139, "reduce-norm-fusion-plugin-for-llama-models"]], "Reduce Norm Fusion with User Buffers for Llama Models": [[135, "reduce-norm-fusion-with-user-buffers-for-llama-models"]], "Reference": [[11, "reference"], [123, "reference"]], "References": [[97, "references"], [99, "references"], [174, "references"]], "Regular expression": [[90, "regular-expression"], [90, "id2"]], "Relative Attention Bias (RAB)": [[113, "relative-attention-bias-rab"]], "Relax Acceptance Verification": [[13, "relax-acceptance-verification"]], "Relaxed Acceptance": [[14, "relaxed-acceptance"]], "Release Notes": [[160, null]], "Reproducing Benchmarked Results": [[43, "reproducing-benchmarked-results"]], "Reproducing Steps": [[17, "reproducing-steps"]], "Reproducing steps": [[2, "reproducing-steps"], [16, "reproducing-steps"]], "Request Additional Output": [[111, "request-additional-output"]], "Request Time Breakdown": [[26, "request-time-breakdown"]], "ResourceManager": [[162, "resourcemanager"]], "Results": [[133, "results"]], "Retention Policy": [[93, "retention-policy"]], "Rethink network structure": [[12, "rethink-network-structure"]], "Reuse Across Requests": [[93, "reuse-across-requests"]], "Revisiting Paged Context Attention and Context Chunking": [[98, "revisiting-paged-context-attention-and-context-chunking"], [138, "revisiting-paged-context-attention-and-context-chunking"]], "Roadmap": [[85, "roadmap"], [101, "roadmap"], [170, "roadmap"]], "Rotary Positional Embedding (RoPE)": [[79, "rotary-positional-embedding-rope"], [113, "rotary-positional-embedding-rope"]], "RouterGEMM": [[13, "routergemm"]], "Run Docker Container": [[28, "run-docker-container"], [29, "run-docker-container"], [31, "run-docker-container"], [32, "run-docker-container"], [33, "run-docker-container"], [34, "run-docker-container"]], "Run LLM-API with pytorch backend on Slurm": [[64, null]], "Run Offline Inference with LLM API": [[159, "run-offline-inference-with-llm-api"]], "Run benchmarking with trtllm-serve": [[26, null]], "Run gpt-2b + LoRA using Executor / cpp runtime": [[118, null]], "Run the benchmark": [[26, "run-the-benchmark"]], "Run trtllm-bench": [[95, "run-trtllm-bench"], [173, "run-trtllm-bench"]], "Run trtllm-bench with pytorch backend on Slurm": [[65, null]], "Run trtllm-serve with pytorch backend on Slurm": [[66, null]], "Run with trtllm-bench": [[96, "run-with-trtllm-bench"]], "Running Evaluations to Verify Accuracy (Optional)": [[28, "running-evaluations-to-verify-accuracy-optional"], [29, "running-evaluations-to-verify-accuracy-optional"], [31, "running-evaluations-to-verify-accuracy-optional"], [32, "running-evaluations-to-verify-accuracy-optional"]], "Running GPT-OSS-120B with Eagle3 Speculative Decoding on GB200/B200 (TensorRT LLM)": [[9, null]], "Running Pre-quantized Models": [[100, "running-pre-quantized-models"]], "Running Tests": [[36, "running-tests"]], "Running Throughput and Latency Benchmarks": [[133, "running-throughput-and-latency-benchmarks"]], "Running With Weight Streaming to Reduce GPU Memory Consumption": [[122, null]], "Running a High Performance GPT-OSS-120B Inference Server with TensorRT LLM": [[21, null]], "Running multi-modal models in the PyTorch Workflow": [[42, "running-multi-modal-models-in-the-pytorch-workflow"], [132, "running-multi-modal-models-in-the-pytorch-workflow"]], "Running the Benchmark": [[43, "running-the-benchmark"]], "Running the TensorRT LLM Server": [[21, "running-the-tensorrt-llm-server"]], "Running with the PyTorch Workflow": [[42, "running-with-the-pytorch-workflow"], [132, "running-with-the-pytorch-workflow"]], "Runtime": [[1, null], [125, "runtime"], [146, null]], "Runtime Configuration Examples": [[68, null]], "Runtime Customization": [[47, "runtime-customization"]], "Runtime Integrations": [[86, "runtime-integrations"], [171, "runtime-integrations"]], "Runtime Optimizations": [[15, "runtime-optimizations"], [40, "runtime-optimizations"]], "RuntimeError: only rank 0 can start multi-node session, got 1": [[154, "runtimeerror-only-rank-0-can-start-multi-node-session-got-1"]], "Sample Chat Completions Request": [[9, "sample-chat-completions-request"]], "Sampling": [[47, "sampling"], [102, null], [176, null]], "Sampling Parameters": [[114, "sampling-parameters"]], "Sampling Techniques Showcase": [[69, null]], "ScaffoldingLlm": [[11, "scaffoldingllm"]], "Scaling Expert Parallelism in TensorRT LLM (Part 1: Design and Implementation of Large-scale EP)": [[16, null]], "Scaling Expert Parallelism in TensorRT LLM (Part 2: Performance Status and Optimization)": [[20, null]], "Scaling Expert Parallelism in TensorRT LLM (Part 3: Pushing the Performance Boundary)": [[12, null]], "Scaling factor(s)": [[79, "scaling-factor-s"], [113, "scaling-factor-s"]], "Scheduler": [[162, "scheduler"], [178, null]], "Scheduler Introduction": [[178, "scheduler-introduction"]], "Scheduling Strategies for Load Balancing": [[8, "scheduling-strategies-for-load-balancing"]], "Seamless Model Deployment from PyTorch to TensorRT LLM": [[85, "seamless-model-deployment-from-pytorch-to-tensorrt-llm"]], "Seamless Model Deployment from PyTorch to TensorRT-LLM": [[170, "seamless-model-deployment-from-pytorch-to-tensorrt-llm"]], "See also": [[168, "see-also"]], "Selecting Triton as the MoE backend": [[21, "selecting-triton-as-the-moe-backend"], [21, "id3"]], "Sender and Receiver": [[39, "sender-and-receiver"]], "Sending Requests with Different Beam Widths": [[111, "sending-requests-with-different-beam-widths"]], "Serving with trtllm-serve": [[168, null]], "Set power limits": [[42, "set-power-limits"], [132, "set-power-limits"]], "Setting": [[8, "setting"]], "Setting up Multimodal Serving": [[26, "setting-up-multimodal-serving"]], "Sharding configuration": [[166, "sharding-configuration"]], "Show code": [[28, null], [28, null], [29, null], [29, null], [31, null], [32, null], [33, null], [34, null]], "Single LoRA Adapter": [[95, "single-lora-adapter"], [173, "single-lora-adapter"]], "Single node hanging when using docker run --net=host": [[154, "single-node-hanging-when-using-docker-run-net-host"]], "Situations that can prevent kv cache reuse": [[117, "situations-that-can-prevent-kv-cache-reuse"]], "Sliding Window Attention": [[94, "sliding-window-attention"]], "Sliding Window Attention, Cyclic (Rolling Buffer) KV Cache": [[79, "sliding-window-attention-cyclic-rolling-buffer-kv-cache"], [113, "sliding-window-attention-cyclic-rolling-buffer-kv-cache"]], "Slurm": [[55, "slurm"]], "Smart Router": [[13, "smart-router"]], "Software": [[150, "software"]], "Sparse Attention": [[70, null]], "Sparse Experts as GEMMs (only works when moe_backend=CUTLASS)": [[13, "sparse-experts-as-gemms-only-works-when-moe-backend-cutlass"]], "Speculative Decoding": [[10, "speculative-decoding"], [71, null], [93, "speculative-decoding"], [103, null]], "Speculative Sampling": [[121, null]], "Speculative decoding arguments": [[23, "tensorrt_llm.commands.build-parse_arguments-speculative-decoding-arguments"]], "Speed up inference with SOTA quantization techniques in TRT-LLM": [[7, null]], "Speed-up for the First Turn": [[19, "speed-up-for-the-first-turn"]], "Start the TensorRT LLM Container": [[9, "start-the-tensorrt-llm-container"]], "Start the trtllm-serve service": [[26, "start-the-trtllm-serve-service"]], "Starting a Server": [[27, "starting-a-server"]], "Starting the Server": [[95, "starting-the-server"], [173, "starting-the-server"]], "Step 1. Write Modeling Part": [[123, "step-1-write-modeling-part"]], "Step 1: Clone the repository": [[18, "step-1-clone-the-repository"]], "Step 1: Create the Checkpoint Loader": [[87, "step-1-create-the-checkpoint-loader"], [172, "step-1-create-the-checkpoint-loader"]], "Step 1: Run inference and collect statistics": [[16, "step-1-run-inference-and-collect-statistics"]], "Step 2. Implement Weight Conversion": [[123, "step-2-implement-weight-conversion"]], "Step 2: Create the Checkpoint Weight Loader": [[87, "step-2-create-the-checkpoint-weight-loader"], [172, "step-2-create-the-checkpoint-weight-loader"]], "Step 2: Generate the EPLB configuration": [[16, "step-2-generate-the-eplb-configuration"]], "Step 2: Prepare the TensorRT LLM release Docker image": [[18, "step-2-prepare-the-tensorrt-llm-release-docker-image"]], "Step 3. Register New Model": [[123, "step-3-register-new-model"]], "Step 3: (Optional) Tag and push the Docker image to your registry": [[18, "step-3-optional-tag-and-push-the-docker-image-to-your-registry"]], "Step 3: Create the Checkpoint Config Loader": [[87, "step-3-create-the-checkpoint-config-loader"], [172, "step-3-create-the-checkpoint-config-loader"]], "Step 3: Run inference with the EPLB configuration": [[16, "step-3-run-inference-with-the-eplb-configuration"]], "Step 4. Verify New Model": [[123, "step-4-verify-new-model"]], "Step 4: Create the Checkpoint Weight Mapper": [[87, "step-4-create-the-checkpoint-weight-mapper"], [172, "step-4-create-the-checkpoint-weight-mapper"]], "Step 4: Start the TensorRT LLM server": [[18, "step-4-start-the-tensorrt-llm-server"]], "Step 5: Test the server with a sample request": [[18, "step-5-test-the-server-with-a-sample-request"]], "Step 6: (Optional) Monitor server logs": [[18, "step-6-optional-monitor-server-logs"]], "Step 7: (Optional) Stop the server": [[18, "step-7-optional-stop-the-server"]], "Step-by-Step Guide": [[156, "step-by-step-guide"], [161, "step-by-step-guide"]], "StreamingLLM": [[79, "streamingllm"], [113, "streamingllm"]], "Structural tag": [[90, "structural-tag"], [90, "id4"]], "Structured output with guided decoding": [[111, "structured-output-with-guided-decoding"]], "Summary": [[132, "summary"]], "Summary of Configuration Option Recommendations:": [[135, "summary-of-configuration-option-recommendations"], [139, "summary-of-configuration-option-recommendations"]], "Support Matrix": [[85, "support-matrix"], [86, null], [150, null], [170, "support-matrix"], [171, null]], "Support Models": [[86, "support-models"], [171, "support-models"]], "Support Stream Interval": [[20, "support-stream-interval"]], "Support matrix": [[149, "support-matrix"]], "Supported C++ Header Files": [[106, "supported-c-header-files"]], "Supported Models": [[91, "supported-models"], [157, null]], "Supported Quantization Modes": [[42, "supported-quantization-modes"], [132, "supported-quantization-modes"]], "Syntax": [[24, "syntax"], [27, "syntax"]], "System Level optimizations": [[13, "system-level-optimizations"]], "TRTLLM Backend": [[13, "trtllm-backend"]], "TRTLLM bench with LORA": [[95, "trtllm-bench-with-lora"], [173, "trtllm-bench-with-lora"]], "TRTLLM serve with LoRA": [[95, "trtllm-serve-with-lora"], [173, "trtllm-serve-with-lora"]], "Table of Contents": [[2, 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