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update docs for 0.20.0rc2 Signed-off-by: Shixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>
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Search.setIndex({"alltitles": {"1. Download TensorRT-LLM": [[18, "download-tensorrt-llm"]], "1. Weights size": [[82, "weights-size"]], "2. Activation size": [[82, "activation-size"]], "2. Download the DeepSeek R1 models": [[18, "download-the-deepseek-r1-models"]], "3. Build and run TensorRT-LLM container": [[18, "build-and-run-tensorrt-llm-container"]], "3. I/O tensors": [[82, "i-o-tensors"]], "3.1 Runtime and decoder buffers except KV cache tensor": [[82, "runtime-and-decoder-buffers-except-kv-cache-tensor"]], "3.2 KV cache tensor": [[82, "kv-cache-tensor"]], "4. Compile and Install TensorRT-LLM": [[18, "compile-and-install-tensorrt-llm"]], "5. Optional: Tune GPU clocks": [[18, "optional-tune-gpu-clocks"]], "6. Dataset preparation": [[18, "dataset-preparation"]], "@record_signature to Decorate Functionals Requiring FLayerInfo": [[7, "record-signature-to-decorate-functionals-requiring-flayerinfo"]], "ALiBi": [[5, "alibi"]], "API": [[3, "api"]], "API Changes": [[11, "api-changes"], [86, "api-changes"], [86, "id8"], [86, "id13"], [86, "id18"], [86, "id25"], [86, "id30"], [86, "id36"], [86, "id42"], [86, "id48"]], "API Introduction": [[62, null]], "API Reference": [[63, null]], "AWQ Quantization Scaling Factors": [[13, "awq-quantization-scaling-factors"]], "About": [[25, "about"]], "About Speculative Sampling": [[10, "about-speculative-sampling"]], "About TensorRT-LLM": [[64, "about-tensorrt-llm"]], "Accuracy": [[23, "accuracy"]], "Activation": [[76, "module-tensorrt_llm.layers.activation"]], "Adding a Model": [[12, null]], "Adding a New Model in PyTorch Backend": [[88, null]], "Advanced": [[57, null]], "Announcements": [[86, "announcements"], [86, "id46"]], "Architecture": [[57, null]], "Architecture Ovewiew": [[89, null]], "Asyncio-Based Generation": [[31, "asyncio-based-generation"]], "Attention": [[76, "module-tensorrt_llm.layers.attention"], [90, null]], "Attention Backends": [[90, "attention-backends"]], "Attention Weights": [[13, "attention-weights"]], "Auto parallel arguments": [[24, "tensorrt_llm.commands.build-parse_arguments-auto-parallel-arguments"]], "Automatic Parallelism with LLM": [[36, null]], "B200 max-throughput": [[18, "b200-max-throughput"]], "B200 min-latency": [[18, "b200-min-latency"]], "Beam-Search": [[5, "beam-search"]], "Before Benchmarking": [[66, "before-benchmarking"]], "Before You Begin: TensorRT-LLM LLM-API": [[68, "before-you-begin-tensorrt-llm-llm-api"]], "Benchmark": [[18, "benchmark"], [23, "benchmark"], [25, "benchmark"]], "Benchmarking Default Performance": [[68, null]], "Benchmarking a non-Medusa Low Latency Engine": [[66, "benchmarking-a-non-medusa-low-latency-engine"]], "Benchmarking with trtllm-bench": [[68, "benchmarking-with-trtllm-bench"]], "Benchmarks": [[2, "benchmarks"]], "Best practices to choose the right quantization methods": [[23, "best-practices-to-choose-the-right-quantization-methods"]], "Boost settings": [[66, "boost-settings"]], "Build APIs": [[17, "build-apis"]], "Build Checkpoint into TensorRT Engine": [[13, "build-checkpoint-into-tensorrt-engine"]], "Build Configuration": [[31, "build-configuration"]], "Build TensorRT-LLM": [[58, "build-tensorrt-llm"]], "Build the TensorRT-LLM Docker Image": [[26, null]], "Build the TensorRT-LLM Docker Image and Upload to DockerHub": [[26, "build-the-tensorrt-llm-docker-image-and-upload-to-dockerhub"], [27, "build-the-tensorrt-llm-docker-image-and-upload-to-dockerhub"]], "Building a Benchmark Engine": [[66, "building-a-benchmark-engine"]], "Building a Medusa Low-Latency Engine": [[66, "building-a-medusa-low-latency-engine"]], "Building a TensorRT-LLM Docker Image": [[58, "building-a-tensorrt-llm-docker-image"]], "Building and Saving Engines via CLI": [[68, "building-and-saving-engines-via-cli"]], "Building and Saving the Engine": [[68, "building-and-saving-the-engine"]], "Building from Source Code on Linux": [[58, null]], "Building the Python Bindings for the C++ Runtime": [[58, "building-the-python-bindings-for-the-c-runtime"]], "C++ Executor API Example": [[3, "c-executor-api-example"]], "C++ GPT Runtime": [[6, null]], "C++ runtime": [[82, "c-runtime"], [82, "id1"]], "CLI Tools": [[17, "cli-tools"]], "Capacity Scheduler Policy": [[74, "capacity-scheduler-policy"]], "Cast": [[76, "module-tensorrt_llm.layers.cast"]], "Chat API": [[25, "chat-api"]], "Chunked Context": [[5, "chunked-context"]], "Classical Workflow": [[7, "classical-workflow"]], "Closing": [[19, "closing"], [22, "closing"]], "Collect PyTorch profiler results": [[65, "collect-pytorch-profiler-results"]], "Commands": [[67, "commands"]], "Common LLM Support": [[64, "common-llm-support"]], "Compilation": [[14, "compilation"]], "Compile the Model into a TensorRT Engine": [[81, "compile-the-model-into-a-tensorrt-engine"]], "Completions API": [[25, "completions-api"], [25, "id1"]], "Conclusion": [[70, "conclusion"], [72, "conclusion"], [73, "conclusion"]], "Config": [[13, "config"]], "Configure SSH Key": [[27, "configure-ssh-key"]], "Configure The Executor": [[3, "configure-the-executor"]], "Connect to the Pod": [[27, "connect-to-the-pod"]], "Context Chunking Policy": [[74, "context-chunking-policy"]], "Context Phase": [[5, "context-phase"]], "Context and Generation Phases": [[5, "context-and-generation-phases"]], "Contiguous KV Cache": [[5, "contiguous-kv-cache"]], "Control generated text using logits processor": [[45, null]], "Controlling output with Logits Post-Processor": [[3, "controlling-output-with-logits-post-processor"]], "Conv": [[76, "module-tensorrt_llm.layers.conv"]], "Conversion APIs": [[17, "conversion-apis"]], "Coordinating with NVIDIA Nsight Systems Launch": [[65, "coordinating-with-nvidia-nsight-systems-launch"]], "Coordinating with PyTorch profiler (PyTorch workflow only)": [[65, "coordinating-with-pytorch-profiler-pytorch-workflow-only"]], "Core Models": [[88, "core-models"]], "Create a Pod Template": [[27, "create-a-pod-template"]], "Create a Runpod account": [[27, "create-a-runpod-account"]], "Create the Container": [[58, "create-the-container"]], "Cross Attention": [[5, "cross-attention"]], "Curl Chat Client": [[28, null]], "Curl Chat Client For Multimodal": [[29, null]], "Curl Completion Client": [[30, null]], "Customize KV Cache Manager": [[91, "customize-kv-cache-manager"]], "Customize Your Own Scheduler": [[92, "customize-your-own-scheduler"]], "Debug Execution Errors": [[85, "debug-execution-errors"]], "Debug on E2E Models": [[85, "debug-on-e2e-models"]], "Debug on Unit Tests": [[85, "debug-on-unit-tests"]], "Debugging FAQs": [[2, "debugging-faqs"]], "Deciding Model Sharding Strategy": [[69, null]], "Decoder": [[89, "decoder"]], "Deepseek R1 Reasoning Parser": [[32, null]], "Default Build Behavior": [[66, "default-build-behavior"]], "Deploy with Triton Inference Server": [[81, "deploy-with-triton-inference-server"]], "Deploy with trtllm-serve": [[81, "deploy-with-trtllm-serve"]], "Develop TensorRT-LLM on Runpod": [[27, null]], "Developer Guide": [[87, "developer-guide"]], "Disable Tokenizer": [[31, "disable-tokenizer"]], "Disaggregated-Service (experimental)": [[2, null]], "Distributed LLM Generation": [[43, null]], "DoRA": [[9, "dora"]], "Documentation": [[86, "documentation"], [86, "id22"]], "Draft-Target-Model": [[10, "draft-target-model"]], "EAGLE": [[10, "eagle"]], "Embedding": [[76, "module-tensorrt_llm.layers.embedding"]], "Enable GIL information in NVTX markers": [[65, "enable-gil-information-in-nvtx-markers"]], "Enable garbage collection (GC) NVTX markers": [[65, "enable-garbage-collection-gc-nvtx-markers"]], "Enable kv cache reuse for p-tuning": [[8, "enable-kv-cache-reuse-for-p-tuning"]], "Enable more NVTX markers for debugging": [[65, "enable-more-nvtx-markers-for-debugging"]], "Enable ssh access to the container": [[26, "enable-ssh-access-to-the-container"]], "Enabling GEMM + SwiGLU Fusion": [[70, "enabling-gemm-swiglu-fusion"]], "Enabling GEMM Plugin": [[73, "enabling-gemm-plugin"]], "Enabling Low Latency GEMM plugin": [[70, "enabling-low-latency-gemm-plugin"]], "Enabling Paged Context Attention": [[73, "enabling-paged-context-attention"]], "Enabling Quantization": [[70, "enabling-quantization"]], "Enabling Quantized KV Cache": [[70, "enabling-quantized-kv-cache"]], "Enabling Reduce Norm Fusion Plugin": [[73, "enabling-reduce-norm-fusion-plugin"]], "Enabling Reduce Norm Fusion with User Buffers": [[70, "enabling-reduce-norm-fusion-with-user-buffers"]], "Enabling building with multiple profiles": [[73, "enabling-building-with-multiple-profiles"]], "Engine Building": [[67, "engine-building"]], "Environment Variables": [[2, "environment-variables"]], "Example": [[2, "example"], [13, "example"]], "Example LoRA tensors": [[9, "example-lora-tensors"]], "Example of Build Subcommand Output:": [[66, "example-of-build-subcommand-output"]], "Examples": [[14, "examples"], [15, "examples"], [65, "examples"]], "Executor": [[0, null]], "Executor API": [[3, null]], "Expected Result Format": [[18, "expected-result-format"], [18, "id1"], [18, "id2"]], "Expected Results": [[18, "expected-results"]], "Expert Parallelism in TensorRT-LLM": [[4, null]], "Exploring more ISL/OSL combinations": [[18, "exploring-more-isl-osl-combinations"]], "FAQ": [[82, "faq"]], "FLayerInfo for Retrieving High-Level Information for a Functional": [[7, "flayerinfo-for-retrieving-high-level-information-for-a-functional"]], "FP32, FP16 and BF16": [[83, "fp32-fp16-and-bf16"]], "FP8 (Hopper)": [[83, "fp8-hopper"]], "FP8 Context FMHA": [[5, "fp8-context-fmha"]], "FP8 Quantization": [[70, null]], "FP8 Quantization Scaling Factors": [[13, "fp8-quantization-scaling-factors"]], "FP8 Support": [[64, "fp8-support"]], "FP8 \u201cBaseline\u201d Performance": [[70, "fp8-baseline-performance"]], "Falcon-180B on a single H200 GPU with INT4 AWQ, and 6.7x faster Llama-70B over A100": [[19, null]], "Falcon-180B on a single H200 with INT4 AWQ": [[19, "falcon-180b-on-a-single-h200-with-int4-awq"]], "Feature Descriptions": [[65, "feature-descriptions"]], "Fixed Issues": [[86, "fixed-issues"], [86, "id9"], [86, "id15"], [86, "id20"], [86, "id27"], [86, "id32"], [86, "id38"], [86, "id44"], [86, "id50"], [86, "id55"]], "For GH200 systems only": [[67, "for-gh200-systems-only"], [67, "id1"]], "For non GH200 systems": [[67, "for-non-gh200-systems"]], "For systems other than GH200": [[67, "for-systems-other-than-gh200"]], "Fully customized": [[15, "fully-customized"]], "Functionals": [[75, null]], "Fused Matmul + Gated-SiLU (LLaMA)": [[67, "fused-matmul-gated-silu-llama"]], "Future-Style Generation": [[31, "future-style-generation"]], "GEMM + SwiGLU Fusion in Gated-MLP": [[70, "gemm-swiglu-fusion-in-gated-mlp"]], "GEMM Plugin": [[73, "gemm-plugin"]], "GPTQ and AWQ (W4A16)": [[83, "gptq-and-awq-w4a16"]], "GPU Clock Management": [[66, "gpu-clock-management"]], "Genai Perf Client": [[33, null]], "General FAQs": [[2, "general-faqs"]], "Generate Text Asynchronously": [[40, null]], "Generate Text Using Eagle Decoding": [[37, null]], "Generate Text Using Lookahead Decoding": [[46, null]], "Generate Text Using Medusa Decoding": [[47, null]], "Generate Text in Streaming": [[41, null]], "Generate text": [[39, null]], "Generate text with customization": [[42, null]], "Generate text with guided decoding": [[38, null]], "Generate text with multiple LoRA adapters": [[51, null]], "Generation": [[31, "generation"]], "Generation Phase": [[5, "generation-phase"]], "Generation with Quantization": [[52, null]], "Get KV Cache Events": [[44, null]], "Getting Started": [[57, null]], "Graph Rewriting APIs": [[7, "graph-rewriting-apis"]], "Graph Rewriting Module": [[7, null]], "H100 has 4.6x A100 Performance in TensorRT-LLM, achieving 10,000 tok/s at 100ms to first token": [[20, null]], "H200 achieves nearly 12,000 tokens/sec on Llama2-13B with TensorRT-LLM": [[21, null]], "H200 max-throughput": [[18, "h200-max-throughput"]], "H200 min-latency": [[18, "h200-min-latency"]], "H200 vs H100": [[21, "h200-vs-h100"]], "Hardware": [[84, "hardware"]], "How the Benchmarker Works": [[66, "how-the-benchmarker-works"]], "How to Enable": [[4, "how-to-enable"]], "How to Think about Model Sharding: Communication is Key": [[69, "how-to-think-about-model-sharding-communication-is-key"]], "How to change Max Batch Size": [[72, "how-to-change-max-batch-size"]], "How to change Max Num Tokens": [[72, "how-to-change-max-num-tokens"]], "How to enable kv cache reuse": [[8, "how-to-enable-kv-cache-reuse"]], "How to get best performance on DeepSeek-R1 in TensorRT-LLM": [[18, null]], "How to set Tensor Parallelism and Pipeline Parallelism": [[69, "how-to-set-tensor-parallelism-and-pipeline-parallelism"]], "Hugging Face Hub": [[62, "hugging-face-hub"]], "INT4 and INT8 Weight-Only (W4A16 and W8A16)": [[83, "int4-and-int8-weight-only-w4a16-and-w8a16"]], "INT8 SmoothQuant (W8A8)": [[83, "int8-smoothquant-w8a8"]], "INT8/FP8 KV Caches": [[5, "int8-fp8-kv-caches"]], "Implement AttentionBackend": [[90, "implement-attentionbackend"]], "Implement AttentionMetadata": [[90, "implement-attentionmetadata"]], "Implement a New Attention Backend": [[90, "implement-a-new-attention-backend"]], "Important Note": [[5, "important-note"]], "In-Flight Batching and Paged Attention": [[64, "in-flight-batching-and-paged-attention"]], "In-flight Batching": [[5, "in-flight-batching"]], "In-flight Batching Support": [[6, "in-flight-batching-support"]], "In-flight Batching with the Triton Inference Server": [[3, "in-flight-batching-with-the-triton-inference-server"]], "Indices and tables": [[57, "indices-and-tables"]], "Inference Endpoints": [[25, "inference-endpoints"]], "Infrastructure Changes": [[86, "infrastructure-changes"], [86, "id3"], [86, "id6"], [86, "id10"], [86, "id16"], [86, "id21"], [86, "id28"], [86, "id33"], [86, "id39"]], "Infrastructure changes": [[86, "id45"]], "Input QKV tensor": [[5, "input-qkv-tensor"]], "Installation": [[57, null]], "Installation Errors": [[85, "installation-errors"]], "Installing on Grace Hopper": [[59, null]], "Installing on Linux": [[60, null]], "Interfaces": [[91, "interfaces"]], "Internal Components": [[6, "internal-components"]], "Introduction": [[88, "introduction"]], "KV Cache": [[5, "kv-cache"]], "KV Cache Manager": [[91, null]], "KV Cache Manager Introduction": [[91, "kv-cache-manager-introduction"]], "KV Cache Quantization Scaling Factors": [[13, "kv-cache-quantization-scaling-factors"]], "KV cache reuse": [[8, null]], "KVCacheManager": [[89, "kvcachemanager"]], "Key Components": [[87, "key-components"]], "Key Features": [[61, null]], "Key Features and Enhancements": [[86, "key-features-and-enhancements"], [86, "id2"], [86, "id4"], [86, "id7"], [86, "id12"], [86, "id17"], [86, "id24"], [86, "id29"], [86, "id35"], [86, "id41"], [86, "id47"], [86, "id51"], [86, "id53"]], "Know Issues and Future Changes": [[6, "know-issues-and-future-changes"]], "Known AllReduce performance issue on AMD-based CPU platforms": [[67, "known-allreduce-performance-issue-on-amd-based-cpu-platforms"]], "Known Issues": [[67, "known-issues"], [82, "known-issues"], [86, "known-issues"], [86, "id5"], [86, "id11"], [86, "id23"], [86, "id34"], [86, "id40"], [86, "id56"], [87, "known-issues"]], "Known Limitations": [[58, "known-limitations"]], "LLM API": [[81, "llm-api"]], "LLM API Examples": [[34, null]], "LLM Common Customizations": [[31, null]], "LLM Examples": [[35, null]], "LLM Examples Introduction": [[34, null]], "LLM Models": [[84, "llm-models"]], "Latest GPU Support": [[64, "latest-gpu-support"]], "Latest HBM Memory": [[21, "latest-hbm-memory"]], "LayerNorm Weights": [[13, "layernorm-weights"]], "Layers": [[76, null]], "Limitations": [[10, "limitations"], [86, "limitations"]], "Limitations and Caveats": [[66, "limitations-and-caveats"]], "Linear": [[76, "module-tensorrt_llm.layers.linear"]], "Linking with the TensorRT-LLM C++ Runtime": [[58, "linking-with-the-tensorrt-llm-c-runtime"]], "Llama 3.1 405B": [[14, "llama-3-1-405b"]], "Llama 3.1 70B": [[14, "llama-3-1-70b"]], "Llama-70B on H200 up to 2.4x increased throughput with XQA within same latency budget": [[22, "llama-70b-on-h200-up-to-2-4x-increased-throughput-with-xqa-within-same-latency-budget"]], "Llama-70B on H200 up to 6.7x A100": [[19, "llama-70b-on-h200-up-to-6-7x-a100"]], "Llm Mgmn Llm Distributed": [[48, null]], "Llm Mgmn Trtllm Bench": [[49, null]], "Llm Mgmn Trtllm Serve": [[50, null]], "LoRA Module id mapping": [[9, "lora-module-id-mapping"]], "LoRA arguments": [[24, "tensorrt_llm.commands.build-parse_arguments-lora-arguments"]], "LoRA tensor format details": [[9, "lora-tensor-format-details"]], "LoRA with tensor parallel": [[9, "lora-with-tensor-parallel"]], "Loading function": [[15, "loading-function"]], "Local Hugging Face Models": [[62, "local-hugging-face-models"]], "Local TensorRT-LLM Engine": [[62, "local-tensorrt-llm-engine"]], "Logits arguments": [[24, "tensorrt_llm.commands.build-parse_arguments-logits-arguments"]], "Lookahead Decoding": [[10, "lookahead-decoding"]], "LoraCache configuration": [[9, "loracache-configuration"]], "Low Latency Benchmark": [[66, "low-latency-benchmark"]], "Low Latency GEMM Plugin": [[70, "low-latency-gemm-plugin"]], "Low Latency TensorRT-LLM Engine for Llama-3 70B": [[66, "low-latency-tensorrt-llm-engine-for-llama-3-70b"]], "MLP": [[76, "module-tensorrt_llm.layers.mlp"]], "MLP Weights": [[13, "mlp-weights"]], "MLPerf on H100 with FP8": [[20, "mlperf-on-h100-with-fp8"]], "Make Evaluation": [[13, "make-evaluation"]], "Mark Tensors As Output": [[3, "mark-tensors-as-output"]], "Max Throughput Benchmark": [[66, "max-throughput-benchmark"]], "Max Tokens in Paged KV Cache and KV Cache Free GPU Memory Fraction": [[74, "max-tokens-in-paged-kv-cache-and-kv-cache-free-gpu-memory-fraction"]], "Maximum Attention Window Size": [[74, "maximum-attention-window-size"]], "Medusa": [[10, "medusa"]], "Medusa Tree": [[10, "medusa-tree"]], "Memory Usage of TensorRT-LLM": [[82, null]], "Memory pool": [[82, "memory-pool"]], "Metrics Endpoint": [[25, "metrics-endpoint"]], "Mixture of Experts (MoE)": [[4, "mixture-of-experts-moe"]], "Model Configuration": [[6, "model-configuration"], [88, "model-configuration"]], "Model Definition": [[14, null], [88, "model-definition"]], "Model Definition API": [[81, "model-definition-api"]], "Model Engine": [[14, "model-engine"], [89, "model-engine"]], "Model Preparation": [[62, "model-preparation"]], "Model Registration": [[88, "model-registration"]], "Model Updates": [[86, "model-updates"], [86, "id14"], [86, "id19"], [86, "id26"], [86, "id31"], [86, "id37"], [86, "id43"], [86, "id49"], [86, "id52"], [86, "id54"]], "Model Weights": [[16, "model-weights"]], "Models": [[77, null], [84, "models"]], "Models with customized key names": [[15, "models-with-customized-key-names"]], "Models with customized weight layout": [[15, "models-with-customized-weight-layout"]], "Multi-GPU Multi-Node Inference": [[64, "multi-gpu-multi-node-inference"]], "Multi-GPU and Multi-Node Support": [[14, "multi-gpu-and-multi-node-support"]], "Multi-Head, Multi-Query, and Group-Query Attention": [[5, null]], "Multi-Modal Models 3": [[84, "multi-modal-models"]], "Multi-node Serving with Slurm": [[25, "multi-node-serving-with-slurm"]], "Multimodal Serving": [[25, "multimodal-serving"]], "Multiple Profiles": [[73, "multiple-profiles"]], "NVFP4 (Blackwell)": [[83, "nvfp4-blackwell"]], "Named Arguments": [[24, "tensorrt_llm.commands.build-parse_arguments-named-arguments"]], "Native Windows Support": [[64, "native-windows-support"]], "Natively supported models": [[15, "natively-supported-models"]], "New XQA-kernel provides 2.4x more Llama-70B throughput within the same latency budget": [[22, null]], "Next Steps": [[81, "next-steps"]], "Normalization": [[76, "module-tensorrt_llm.layers.normalization"]], "Note on context outputs": [[3, "note-on-context-outputs"]], "Numerical Precision": [[83, null]], "Obtaining Arbitrary Output Tensors": [[3, "obtaining-arbitrary-output-tensors"]], "Offloading to host memory": [[8, "offloading-to-host-memory"]], "Online Serving Examples": [[56, null]], "Online Serving Measurements": [[67, "online-serving-measurements"]], "Only collect specific iterations": [[65, "only-collect-specific-iterations"]], "OpenAI Chat Client": [[53, null], [54, null]], "OpenAI Completion Client": [[55, null]], "Option 1: Build TensorRT-LLM in One Step": [[58, "option-1-build-tensorrt-llm-in-one-step"]], "Option 1: Full Build with C++ Compilation": [[58, "option-1-full-build-with-c-compilation"]], "Option 2: Build TensorRT-LLM Step-by-Step": [[58, "option-2-build-tensorrt-llm-step-by-step"]], "Option 2: Python-Only Build without C++ Compilation": [[58, "option-2-python-only-build-without-c-compilation"]], "Other Build Modes": [[66, "other-build-modes"]], "Out of memory issues": [[18, "out-of-memory-issues"]], "Out-of-Tree Models": [[88, "out-of-tree-models"]], "Overview": [[6, "overview"], [13, "overview"], [15, "overview"], [17, "overview"], [64, null], [67, null]], "Padded and Packed Tensors": [[5, "padded-and-packed-tensors"]], "Paged Context Attention": [[73, "paged-context-attention"]], "Paged KV Cache": [[5, "paged-kv-cache"]], "Parallelism Mapping Support": [[66, "parallelism-mapping-support"]], "Pattern and Pattern Manager": [[7, "pattern-and-pattern-manager"]], "Pattern-Matching and Fusion": [[14, "pattern-matching-and-fusion"]], "Performance": [[23, "performance"], [57, null], [73, "performance"]], "Performance Analysis": [[65, null]], "Performance Improvements": [[10, "performance-improvements"]], "Performance Tuning Guide": [[71, null]], "Performance expectations": [[8, "performance-expectations"]], "Performance with GEMM 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