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<div class="bd-toc-item navbar-nav"><p aria-level="2" class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../../overview.html">Overview</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../key-features.html">Key Features</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../torch.html">PyTorch Backend</a></li>
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">Deployment Guide</span></p>
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<ul class="nav bd-sidenav">
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<li class="toctree-l1"><a class="reference internal" href="../../deployment-guide/quick-start-recipe-for-llama4-scout-on-trtllm.html">Quick Start Recipe for Llama4 Scout 17B on TensorRT-LLM - Blackwell & Hopper Hardware</a></li>
|
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<li class="toctree-l1"><a class="reference internal" href="../../deployment-guide/quick-start-recipe-for-deepseek-r1-on-trtllm.html">Quick Start Recipe for DeepSeek R1 on TensorRT-LLM - Blackwell & Hopper Hardware</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../deployment-guide/quick-start-recipe-for-llama3.3-70b-on-trtllm.html">Quick Start Recipe for Llama3.3 70B on TensorRT-LLM - Blackwell & Hopper Hardware</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../deployment-guide/quick-start-recipe-for-gpt-oss-on-trtllm.html">Quick Start Recipe for GPT-OSS on TensorRT-LLM - Blackwell Hardware</a></li>
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</ul>
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<p aria-level="2" class="caption" role="heading"><span class="caption-text">LLM API</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../../llm-api/index.html">LLM API Introduction</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../llm-api/reference.html">API Reference</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../examples/index.html">LLM Examples Introduction</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul class="simple">
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</details></li>
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<li class="toctree-l1"><a class="reference internal" href="../../examples/customization.html">LLM Common Customizations</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../examples/llm_api_examples.html">LLM Examples</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/llm_inference.html">Generate text</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/llm_inference_async.html">Generate text asynchronously</a></li>
|
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<li class="toctree-l2"><a class="reference internal" href="../../examples/llm_inference_async_streaming.html">Generate text in streaming</a></li>
|
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<li class="toctree-l2"><a class="reference internal" href="../../examples/llm_inference_distributed.html">Distributed LLM Generation</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/llm_guided_decoding.html">Generate text with guided decoding</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../../examples/llm_logits_processor.html">Control generated text using logits processor</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../../examples/llm_multilora.html">Generate text with multiple LoRA adapters</a></li>
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||
<li class="toctree-l2"><a class="reference internal" href="../../examples/llm_speculative_decoding.html">Speculative Decoding</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/llm_kv_cache_connector.html">KV Cache Connector</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/llm_runtime.html">Runtime Configuration Examples</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/llm_sampling.html">Sampling Techniques Showcase</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/llm_mgmn_llm_distributed.html">Run LLM-API with pytorch backend on Slurm</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/llm_mgmn_trtllm_bench.html">Run trtllm-bench with pytorch backend on Slurm</a></li>
|
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<li class="toctree-l2"><a class="reference internal" href="../../examples/llm_mgmn_trtllm_serve.html">Run trtllm-serve with pytorch backend on Slurm</a></li>
|
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</ul>
|
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</details></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../examples/trtllm_serve_examples.html">Online Serving Examples</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/curl_chat_client.html">Curl Chat Client</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/curl_chat_client_for_multimodal.html">Curl Chat Client For Multimodal</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/curl_completion_client.html">Curl Completion Client</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/deepseek_r1_reasoning_parser.html">Deepseek R1 Reasoning Parser</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/genai_perf_client.html">Genai Perf Client</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/genai_perf_client_for_multimodal.html">Genai Perf Client For Multimodal</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/openai_chat_client.html">OpenAI Chat Client</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/openai_chat_client_for_multimodal.html">OpenAI Chat Client for Multimodal</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/openai_completion_client.html">OpenAI Completion Client</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/openai_completion_client_for_lora.html">Openai Completion Client For Lora</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../examples/openai_completion_client_json_schema.html">OpenAI Completion Client with JSON Schema</a></li>
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||
</ul>
|
||
</details></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Model Definition API</span></p>
|
||
<ul class="nav bd-sidenav">
|
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<li class="toctree-l1"><a class="reference internal" href="../../python-api/tensorrt_llm.layers.html">Layers</a></li>
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||
<li class="toctree-l1"><a class="reference internal" href="../../python-api/tensorrt_llm.functional.html">Functionals</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../python-api/tensorrt_llm.models.html">Models</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../python-api/tensorrt_llm.plugin.html">Plugin</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../python-api/tensorrt_llm.quantization.html">Quantization</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../python-api/tensorrt_llm.runtime.html">Runtime</a></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">C++ API</span></p>
|
||
<ul class="nav bd-sidenav">
|
||
<li class="toctree-l1"><a class="reference internal" href="../../_cpp_gen/executor.html">Executor</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../_cpp_gen/runtime.html">Runtime</a></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Command-Line Reference</span></p>
|
||
<ul class="nav bd-sidenav">
|
||
<li class="toctree-l1"><a class="reference internal" href="../../commands/trtllm-bench.html">trtllm-bench</a></li>
|
||
|
||
<li class="toctree-l1"><a class="reference internal" href="../../commands/trtllm-build.html">trtllm-build</a></li>
|
||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../commands/trtllm-serve/index.html">trtllm-serve</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
|
||
<li class="toctree-l2"><a class="reference internal" href="../../commands/trtllm-serve/trtllm-serve.html">trtllm-serve</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../../commands/trtllm-serve/run-benchmark-with-trtllm-serve.html">Run benchmarking with <code class="docutils literal notranslate"><span class="pre">trtllm-serve</span></code></a></li>
|
||
</ul>
|
||
</details></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Architecture</span></p>
|
||
<ul class="nav bd-sidenav">
|
||
<li class="toctree-l1"><a class="reference internal" href="../../architecture/overview.html">TensorRT-LLM Architecture</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../architecture/core-concepts.html">Model Definition</a></li>
|
||
|
||
|
||
|
||
<li class="toctree-l1"><a class="reference internal" href="../../architecture/checkpoint.html">TensorRT-LLM Checkpoint</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../architecture/workflow.html">TensorRT-LLM Build Workflow</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../architecture/add-model.html">Adding a Model</a></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Advanced</span></p>
|
||
<ul class="nav bd-sidenav">
|
||
<li class="toctree-l1"><a class="reference internal" href="../../advanced/gpt-attention.html">Multi-Head, Multi-Query, and Group-Query Attention</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../advanced/gpt-runtime.html">C++ GPT Runtime</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../advanced/executor.html">Executor API</a></li>
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||
<li class="toctree-l1"><a class="reference internal" href="../../advanced/graph-rewriting.html">Graph Rewriting Module</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../advanced/lora.html">Run gpt-2b + LoRA using Executor / cpp runtime</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../advanced/expert-parallelism.html">Expert Parallelism in TensorRT-LLM</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../advanced/kv-cache-management.html">KV Cache Management: Pools, Blocks, and Events</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../advanced/kv-cache-reuse.html">KV cache reuse</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../advanced/speculative-decoding.html">Speculative Sampling</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../advanced/disaggregated-service.html">Disaggregated-Service (Prototype)</a></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Performance</span></p>
|
||
<ul class="nav bd-sidenav">
|
||
<li class="toctree-l1"><a class="reference internal" href="../../performance/perf-overview.html">Overview</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../performance/perf-benchmarking.html">Benchmarking</a></li>
|
||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../performance/performance-tuning-guide/index.html">Performance Tuning Guide</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
|
||
<li class="toctree-l2"><a class="reference internal" href="../../performance/performance-tuning-guide/benchmarking-default-performance.html">Benchmarking Default Performance</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../../performance/performance-tuning-guide/useful-build-time-flags.html">Useful Build-Time Flags</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../../performance/performance-tuning-guide/tuning-max-batch-size-and-max-num-tokens.html">Tuning Max Batch Size and Max Num Tokens</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../../performance/performance-tuning-guide/deciding-model-sharding-strategy.html">Deciding Model Sharding Strategy</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../../performance/performance-tuning-guide/fp8-quantization.html">FP8 Quantization</a></li>
|
||
<li class="toctree-l2"><a class="reference internal" href="../../performance/performance-tuning-guide/useful-runtime-flags.html">Useful Runtime Options</a></li>
|
||
</ul>
|
||
</details></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../performance/perf-analysis.html">Performance Analysis</a></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Reference</span></p>
|
||
<ul class="nav bd-sidenav">
|
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<li class="toctree-l1"><a class="reference internal" href="../../reference/troubleshooting.html">Troubleshooting</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../reference/support-matrix.html">Support Matrix</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../reference/precision.html">Numerical Precision</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../reference/memory.html">Memory Usage of TensorRT-LLM</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../reference/ci-overview.html">Continuous Integration Overview</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../reference/dev-containers.html">Using Dev Containers</a></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Blogs</span></p>
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||
<ul class="nav bd-sidenav">
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/H100vsA100.html">H100 has 4.6x A100 Performance in TensorRT-LLM, achieving 10,000 tok/s at 100ms to first token</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/H200launch.html">H200 achieves nearly 12,000 tokens/sec on Llama2-13B with TensorRT-LLM</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/Falcon180B-H200.html">Falcon-180B on a single H200 GPU with INT4 AWQ, and 6.7x faster Llama-70B over A100</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/quantization-in-TRT-LLM.html">Speed up inference with SOTA quantization techniques in TRT-LLM</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/XQA-kernel.html">New XQA-kernel provides 2.4x more Llama-70B throughput within the same latency budget</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/tech_blog/blog10_ADP_Balance_Strategy.html">ADP Balance Strategy</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/tech_blog/blog1_Pushing_Latency_Boundaries_Optimizing_DeepSeek-R1_Performance_on_NVIDIA_B200_GPUs.html">Pushing Latency Boundaries: Optimizing DeepSeek-R1 Performance on NVIDIA B200 GPUs</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/tech_blog/blog2_DeepSeek_R1_MTP_Implementation_and_Optimization.html">DeepSeek R1 MTP Implementation and Optimization</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/tech_blog/blog3_Optimizing_DeepSeek_R1_Throughput_on_NVIDIA_Blackwell_GPUs.html">Optimizing DeepSeek R1 Throughput on NVIDIA Blackwell GPUs: A Deep Dive for Developers</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/tech_blog/blog4_Scaling_Expert_Parallelism_in_TensorRT-LLM.html">Scaling Expert Parallelism in TensorRT-LLM (Part 1: Design and Implementation of Large-scale EP)</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/tech_blog/blog5_Disaggregated_Serving_in_TensorRT-LLM.html">Disaggregated Serving in TensorRT-LLM</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/tech_blog/blog6_Llama4_maverick_eagle_guide.html">How to launch Llama4 Maverick + Eagle3 TensorRT-LLM server</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/tech_blog/blog7_NGram_performance_Analysis_And_Auto_Enablement.html">N-Gram Speculative Decoding in TensorRT‑LLM</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/tech_blog/blog8_Scaling_Expert_Parallelism_in_TensorRT-LLM_part2.html">Scaling Expert Parallelism in TensorRT-LLM (Part 2: Performance Status and Optimization)</a></li>
|
||
<li class="toctree-l1"><a class="reference internal" href="../../blogs/tech_blog/blog9_Deploying_GPT_OSS_on_TRTLLM.html">Running a High Performance GPT-OSS-120B Inference Server with TensorRT-LLM</a></li>
|
||
</ul>
|
||
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Use TensorRT Engine</span></p>
|
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<ul class="nav bd-sidenav">
|
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<li class="toctree-l1"><a class="reference internal" href="../../legacy/tensorrt_quickstart.html">LLM API with TensorRT Engine</a></li>
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<li class="breadcrumb-item active" aria-current="page"><span class="ellipsis">tensorrt_llm.builder</span></li>
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<div id="searchbox"></div>
|
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<article class="bd-article">
|
||
|
||
<h1>Source code for tensorrt_llm.builder</h1><div class="highlight"><pre>
|
||
<span></span><span class="c1"># SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.</span>
|
||
<span class="c1"># SPDX-License-Identifier: Apache-2.0</span>
|
||
<span class="c1">#</span>
|
||
<span class="c1"># Licensed under the Apache License, Version 2.0 (the "License");</span>
|
||
<span class="c1"># you may not use this file except in compliance with the License.</span>
|
||
<span class="c1"># You may obtain a copy of the License at</span>
|
||
<span class="c1">#</span>
|
||
<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span>
|
||
<span class="c1">#</span>
|
||
<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
|
||
<span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span>
|
||
<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
|
||
<span class="c1"># See the License for the specific language governing permissions and</span>
|
||
<span class="c1"># limitations under the License.</span>
|
||
<span class="kn">import</span><span class="w"> </span><span class="nn">copy</span>
|
||
<span class="kn">import</span><span class="w"> </span><span class="nn">dataclasses</span>
|
||
<span class="kn">import</span><span class="w"> </span><span class="nn">json</span>
|
||
<span class="kn">import</span><span class="w"> </span><span class="nn">math</span>
|
||
<span class="kn">import</span><span class="w"> </span><span class="nn">os</span>
|
||
<span class="kn">import</span><span class="w"> </span><span class="nn">shutil</span>
|
||
<span class="kn">import</span><span class="w"> </span><span class="nn">time</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">dataclasses</span><span class="w"> </span><span class="kn">import</span> <span class="n">dataclass</span><span class="p">,</span> <span class="n">field</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">functools</span><span class="w"> </span><span class="kn">import</span> <span class="n">cache</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">pathlib</span><span class="w"> </span><span class="kn">import</span> <span class="n">Path</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">typing</span><span class="w"> </span><span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Union</span>
|
||
|
||
<span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
|
||
<span class="kn">import</span><span class="w"> </span><span class="nn">tensorrt</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">trt</span>
|
||
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">._common</span><span class="w"> </span><span class="kn">import</span> <span class="n">_is_building</span><span class="p">,</span> <span class="n">check_max_num_tokens</span><span class="p">,</span> <span class="n">serialize_engine</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">._utils</span><span class="w"> </span><span class="kn">import</span> <span class="p">(</span><span class="n">get_sm_version</span><span class="p">,</span> <span class="n">np_bfloat16</span><span class="p">,</span> <span class="n">np_float8</span><span class="p">,</span> <span class="n">str_dtype_to_trt</span><span class="p">,</span>
|
||
<span class="n">to_json_file</span><span class="p">,</span> <span class="n">trt_gte</span><span class="p">)</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">.auto_parallel</span><span class="w"> </span><span class="kn">import</span> <span class="n">auto_parallel</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">.auto_parallel.config</span><span class="w"> </span><span class="kn">import</span> <span class="n">AutoParallelConfig</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">.bindings</span><span class="w"> </span><span class="kn">import</span> <span class="n">KVCacheType</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">.functional</span><span class="w"> </span><span class="kn">import</span> <span class="n">PositionEmbeddingType</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">.graph_rewriting</span><span class="w"> </span><span class="kn">import</span> <span class="n">optimize</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">.logger</span><span class="w"> </span><span class="kn">import</span> <span class="n">logger</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">.lora_helper</span><span class="w"> </span><span class="kn">import</span> <span class="n">LoraConfig</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">.models</span><span class="w"> </span><span class="kn">import</span> <span class="n">PretrainedConfig</span><span class="p">,</span> <span class="n">PretrainedModel</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">.models.modeling_utils</span><span class="w"> </span><span class="kn">import</span> <span class="n">SpeculativeDecodingMode</span><span class="p">,</span> <span class="n">optimize_model</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">.network</span><span class="w"> </span><span class="kn">import</span> <span class="n">Network</span><span class="p">,</span> <span class="n">net_guard</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">.plugin</span><span class="w"> </span><span class="kn">import</span> <span class="n">PluginConfig</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">.quantization</span><span class="w"> </span><span class="kn">import</span> <span class="n">QuantAlgo</span><span class="p">,</span> <span class="n">QuantMode</span>
|
||
<span class="kn">from</span><span class="w"> </span><span class="nn">.version</span><span class="w"> </span><span class="kn">import</span> <span class="n">__version__</span>
|
||
|
||
|
||
<span class="k">class</span><span class="w"> </span><span class="nc">ConfigEncoder</span><span class="p">(</span><span class="n">json</span><span class="o">.</span><span class="n">JSONEncoder</span><span class="p">):</span>
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">default</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">obj</span><span class="p">):</span>
|
||
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">KVCacheType</span><span class="p">):</span>
|
||
<span class="c1"># For KVCacheType, convert it to string by split of 'KVCacheType.PAGED'.</span>
|
||
<span class="k">return</span> <span class="n">obj</span><span class="o">.</span><span class="fm">__str__</span><span class="p">()</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">'.'</span><span class="p">)[</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span>
|
||
<span class="k">elif</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="s1">'model_dump'</span><span class="p">):</span>
|
||
<span class="c1"># Handle Pydantic models (including DecodingBaseConfig and subclasses)</span>
|
||
<span class="k">return</span> <span class="n">obj</span><span class="o">.</span><span class="n">model_dump</span><span class="p">(</span><span class="n">mode</span><span class="o">=</span><span class="s1">'json'</span><span class="p">)</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="k">return</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">default</span><span class="p">(</span><span class="n">obj</span><span class="p">)</span>
|
||
|
||
|
||
<span class="k">class</span><span class="w"> </span><span class="nc">BuilderConfig</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||
<span class="c1"># intentionally use **kwargs, user should never call this ctor directly,</span>
|
||
<span class="c1"># use Builder.create_builder_config() instead</span>
|
||
<span class="k">pass</span>
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">_init</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">trt_builder_config</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">_trt_builder_config</span> <span class="o">=</span> <span class="n">trt_builder_config</span>
|
||
<span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="nb">setattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">key</span><span class="p">,</span> <span class="n">value</span><span class="p">)</span>
|
||
<span class="k">return</span> <span class="bp">self</span>
|
||
|
||
<span class="nd">@property</span>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">trt_builder_config</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">trt</span><span class="o">.</span><span class="n">IBuilderConfig</span><span class="p">:</span>
|
||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_trt_builder_config</span>
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">to_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">Dict</span><span class="p">:</span>
|
||
<span class="w"> </span><span class="sd">'''return a dict with keys</span>
|
||
<span class="sd"> {</span>
|
||
<span class="sd"> "builder_config": {</span>
|
||
<span class="sd"> # all key values set by the _init function</span>
|
||
<span class="sd"> },</span>
|
||
<span class="sd"> "plugin_config": {</span>
|
||
<span class="sd"> # the network plugin_config (if any) attached to this BuilderConfig object</span>
|
||
<span class="sd"> # inside the Builder.build_engine</span>
|
||
<span class="sd"> },</span>
|
||
<span class="sd"> "auto_parallel_config": {</span>
|
||
<span class="sd"> # the network auto_parallel_config (if any) attached to this BuilderConfig object</span>
|
||
<span class="sd"> # inside the Builder.build_engine</span>
|
||
<span class="sd"> }</span>
|
||
<span class="sd"> }</span>
|
||
<span class="sd"> '''</span>
|
||
<span class="n">config</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'builder_config'</span><span class="p">:</span> <span class="p">{}}</span>
|
||
<span class="k">for</span> <span class="n">k</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="vm">__dict__</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
|
||
<span class="k">if</span> <span class="n">k</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span>
|
||
<span class="s1">'_trt_builder_config'</span><span class="p">,</span> <span class="s1">'plugin_config'</span><span class="p">,</span>
|
||
<span class="s1">'auto_parallel_config'</span>
|
||
<span class="p">]:</span>
|
||
<span class="n">config</span><span class="p">[</span><span class="s1">'builder_config'</span><span class="p">][</span><span class="n">k</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="fm">__getattribute__</span><span class="p">(</span><span class="n">k</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="s1">'plugin_config'</span><span class="p">):</span>
|
||
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">plugin_config</span><span class="p">,</span> <span class="n">PluginConfig</span><span class="p">),</span> \
|
||
<span class="sa">f</span><span class="s2">"Found unexpected plugin_config object with type: </span><span class="si">{</span><span class="nb">type</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">plugin_config</span><span class="p">)</span><span class="si">}</span><span class="s2">"</span>
|
||
<span class="n">config</span><span class="p">[</span><span class="s1">'plugin_config'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">to_dict</span><span class="p">()</span>
|
||
<span class="k">return</span> <span class="n">config</span>
|
||
|
||
|
||
<span class="k">class</span><span class="w"> </span><span class="nc">Builder</span><span class="p">():</span>
|
||
|
||
<span class="n">_ALLOWED_PRECISIONS</span> <span class="o">=</span> <span class="p">[</span>
|
||
<span class="s1">'float32'</span><span class="p">,</span> <span class="s1">'float16'</span><span class="p">,</span> <span class="s1">'bfloat16'</span><span class="p">,</span> <span class="n">trt</span><span class="o">.</span><span class="n">DataType</span><span class="o">.</span><span class="n">HALF</span><span class="p">,</span> <span class="n">trt</span><span class="o">.</span><span class="n">DataType</span><span class="o">.</span><span class="n">FLOAT</span><span class="p">,</span>
|
||
<span class="n">trt</span><span class="o">.</span><span class="n">DataType</span><span class="o">.</span><span class="n">BF16</span>
|
||
<span class="p">]</span>
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">_trt_builder</span> <span class="o">=</span> <span class="n">trt</span><span class="o">.</span><span class="n">Builder</span><span class="p">(</span><span class="n">logger</span><span class="o">.</span><span class="n">trt_logger</span><span class="p">)</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">strongly_typed</span> <span class="o">=</span> <span class="kc">True</span>
|
||
|
||
<span class="nd">@property</span>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">trt_builder</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">trt</span><span class="o">.</span><span class="n">Builder</span><span class="p">:</span>
|
||
<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_trt_builder</span>
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">create_network</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="n">Network</span><span class="p">:</span>
|
||
<span class="n">explicit_batch_flag</span> <span class="o">=</span> <span class="mi">0</span>
|
||
<span class="c1"># Explicit batch flag will be deprecated in TRT 10</span>
|
||
<span class="k">if</span> <span class="s2">"EXPLICIT_BATCH"</span> <span class="ow">in</span> <span class="n">trt</span><span class="o">.</span><span class="n">NetworkDefinitionCreationFlag</span><span class="o">.</span><span class="n">__members__</span><span class="o">.</span><span class="n">keys</span><span class="p">(</span>
|
||
<span class="p">):</span>
|
||
<span class="n">explicit_batch_flag</span> <span class="o">=</span> <span class="mi">1</span> <span class="o"><<</span> <span class="nb">int</span><span class="p">(</span>
|
||
<span class="n">trt</span><span class="o">.</span><span class="n">NetworkDefinitionCreationFlag</span><span class="o">.</span><span class="n">EXPLICIT_BATCH</span><span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">strongly_typed</span><span class="p">:</span>
|
||
<span class="k">return</span> <span class="n">Network</span><span class="p">()</span><span class="o">.</span><span class="n">_init</span><span class="p">(</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">trt_builder</span><span class="o">.</span><span class="n">create_network</span><span class="p">(</span>
|
||
<span class="n">explicit_batch_flag</span>
|
||
<span class="o">|</span> <span class="p">(</span><span class="mi">1</span> <span class="o"><<</span> <span class="nb">int</span><span class="p">(</span>
|
||
<span class="n">trt</span><span class="o">.</span><span class="n">NetworkDefinitionCreationFlag</span><span class="o">.</span><span class="n">STRONGLY_TYPED</span><span class="p">))))</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="k">return</span> <span class="n">Network</span><span class="p">()</span><span class="o">.</span><span class="n">_init</span><span class="p">(</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">trt_builder</span><span class="o">.</span><span class="n">create_network</span><span class="p">(</span><span class="n">explicit_batch_flag</span><span class="p">))</span>
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">create_builder_config</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
|
||
<span class="n">precision</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">trt</span><span class="o">.</span><span class="n">DataType</span><span class="p">],</span>
|
||
<span class="n">timing_cache</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Path</span><span class="p">,</span>
|
||
<span class="n">trt</span><span class="o">.</span><span class="n">ITimingCache</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
|
||
<span class="n">tensor_parallel</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
|
||
<span class="n">use_refit</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
|
||
<span class="n">int8</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
|
||
<span class="n">strongly_typed</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
|
||
<span class="n">force_num_profiles</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
|
||
<span class="n">profiling_verbosity</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s2">"layer_names_only"</span><span class="p">,</span>
|
||
<span class="n">use_strip_plan</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
|
||
<span class="n">weight_streaming</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
|
||
<span class="n">precision_constraints</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="s2">"obey"</span><span class="p">,</span>
|
||
<span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> <span class="o">-></span> <span class="n">BuilderConfig</span><span class="p">:</span>
|
||
<span class="w"> </span><span class="sd">''' @brief Create a builder config with given precisions and timing cache</span>
|
||
<span class="sd"> @param precision: one of allowed precisions, defined in Builder._ALLOWED_PRECISIONS</span>
|
||
<span class="sd"> @param timing_cache: a timing cache object or a path to a timing cache file</span>
|
||
<span class="sd"> @param tensor_parallel: number of GPUs used for tensor parallel</span>
|
||
<span class="sd"> @param kwargs: any other arguments users would like to attach to the config object as attributes</span>
|
||
<span class="sd"> @param refit: set to accelerate multi-gpu building, build engine for 1 gpu and refit for the others</span>
|
||
<span class="sd"> @param int8: whether to build with int8 enabled or not. Can't be used together with refit option</span>
|
||
<span class="sd"> @return: A BuilderConfig object, return None if failed</span>
|
||
<span class="sd"> '''</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">strongly_typed</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">strongly_typed</span> <span class="ow">and</span> <span class="n">strongly_typed</span>
|
||
|
||
<span class="n">quant_mode</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"quant_mode"</span><span class="p">,</span> <span class="n">QuantMode</span><span class="p">(</span><span class="mi">0</span><span class="p">))</span>
|
||
<span class="k">if</span> <span class="ow">not</span> <span class="n">strongly_typed</span> <span class="ow">and</span> <span class="n">precision</span> <span class="ow">not</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">_ALLOWED_PRECISIONS</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s2">"precision should be one of </span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">_ALLOWED_PRECISIONS</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
|
||
|
||
<span class="n">config</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trt_builder</span><span class="o">.</span><span class="n">create_builder_config</span><span class="p">()</span>
|
||
<span class="k">if</span> <span class="n">weight_streaming</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">set_flag</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">BuilderFlag</span><span class="o">.</span><span class="n">WEIGHT_STREAMING</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">strongly_typed</span><span class="p">:</span>
|
||
<span class="n">fp8</span> <span class="o">=</span> <span class="n">quant_mode</span><span class="o">.</span><span class="n">has_fp8_qdq</span><span class="p">()</span> <span class="ow">or</span> <span class="n">quant_mode</span><span class="o">.</span><span class="n">has_fp8_kv_cache</span><span class="p">()</span>
|
||
<span class="k">if</span> <span class="n">precision</span> <span class="o">==</span> <span class="s1">'float16'</span> <span class="ow">or</span> <span class="n">precision</span> <span class="o">==</span> <span class="n">trt</span><span class="o">.</span><span class="n">DataType</span><span class="o">.</span><span class="n">HALF</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">set_flag</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">BuilderFlag</span><span class="o">.</span><span class="n">FP16</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">precision_constraints</span> <span class="o">==</span> <span class="s1">'obey'</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">set_flag</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">BuilderFlag</span><span class="o">.</span><span class="n">OBEY_PRECISION_CONSTRAINTS</span><span class="p">)</span>
|
||
<span class="k">elif</span> <span class="n">precision</span> <span class="o">==</span> <span class="s1">'bfloat16'</span> <span class="ow">or</span> <span class="n">precision</span> <span class="o">==</span> <span class="n">trt</span><span class="o">.</span><span class="n">DataType</span><span class="o">.</span><span class="n">BF16</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">set_flag</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">BuilderFlag</span><span class="o">.</span><span class="n">BF16</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">precision_constraints</span> <span class="o">==</span> <span class="s1">'obey'</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">set_flag</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">BuilderFlag</span><span class="o">.</span><span class="n">OBEY_PRECISION_CONSTRAINTS</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">int8</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">set_flag</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">BuilderFlag</span><span class="o">.</span><span class="n">INT8</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">fp8</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">set_flag</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">BuilderFlag</span><span class="o">.</span><span class="n">FP8</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">precision_constraints</span> <span class="o">==</span> <span class="s1">'obey'</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">set_flag</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">BuilderFlag</span><span class="o">.</span><span class="n">OBEY_PRECISION_CONSTRAINTS</span><span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="n">use_refit</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">set_flag</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">BuilderFlag</span><span class="o">.</span><span class="n">REFIT</span><span class="p">)</span>
|
||
|
||
<span class="c1"># Use fine-grained refit when strip plan is enabled in TRT10.2+.</span>
|
||
<span class="k">if</span> <span class="n">use_strip_plan</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">set_flag</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">BuilderFlag</span><span class="o">.</span><span class="n">REFIT_INDIVIDUAL</span><span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="n">use_strip_plan</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">set_flag</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">BuilderFlag</span><span class="o">.</span><span class="n">STRIP_PLAN</span><span class="p">)</span>
|
||
|
||
<span class="c1"># Set TRT Engine profiling verbosity</span>
|
||
<span class="k">if</span> <span class="n">profiling_verbosity</span> <span class="o">==</span> <span class="s2">"detailed"</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">profiling_verbosity</span> <span class="o">=</span> <span class="n">trt</span><span class="o">.</span><span class="n">ProfilingVerbosity</span><span class="o">.</span><span class="n">DETAILED</span>
|
||
<span class="k">elif</span> <span class="n">profiling_verbosity</span> <span class="o">==</span> <span class="s2">"none"</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">profiling_verbosity</span> <span class="o">=</span> <span class="n">trt</span><span class="o">.</span><span class="n">ProfilingVerbosity</span><span class="o">.</span><span class="n">NONE</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">profiling_verbosity</span> <span class="o">=</span> <span class="n">trt</span><span class="o">.</span><span class="n">ProfilingVerbosity</span><span class="o">.</span><span class="n">LAYER_NAMES_ONLY</span>
|
||
|
||
<span class="c1"># set timing cache</span>
|
||
<span class="n">cache</span> <span class="o">=</span> <span class="kc">None</span>
|
||
<span class="k">if</span> <span class="n">timing_cache</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="c1"># use given cache</span>
|
||
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">timing_cache</span><span class="p">,</span> <span class="n">trt</span><span class="o">.</span><span class="n">ITimingCache</span><span class="p">):</span>
|
||
<span class="n">cache</span> <span class="o">=</span> <span class="n">timing_cache</span>
|
||
<span class="c1"># read cache from file</span>
|
||
<span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">timing_cache</span><span class="p">,</span>
|
||
<span class="p">(</span><span class="nb">str</span><span class="p">,</span> <span class="n">Path</span><span class="p">))</span> <span class="ow">and</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">timing_cache</span><span class="p">):</span>
|
||
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">timing_cache</span><span class="p">,</span> <span class="s2">"rb"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
|
||
<span class="n">cache</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">create_timing_cache</span><span class="p">(</span><span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">())</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="s2">"Invalid timing cache, using freshly created one"</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">cache</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">cache</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">create_timing_cache</span><span class="p">(</span><span class="sa">b</span><span class="s2">""</span><span class="p">)</span>
|
||
<span class="c1"># When user does not given any existing cache, internally always created one</span>
|
||
<span class="c1"># so the cache should never None here</span>
|
||
<span class="k">assert</span> <span class="n">cache</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">cache</span><span class="p">,</span> <span class="n">trt</span><span class="o">.</span><span class="n">ITimingCache</span><span class="p">)</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">set_timing_cache</span><span class="p">(</span><span class="n">cache</span><span class="p">,</span> <span class="n">ignore_mismatch</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
|
||
|
||
<span class="c1"># set weight sparsity</span>
|
||
<span class="n">weight_sparsity</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"weight_sparsity"</span><span class="p">,</span> <span class="kc">False</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">weight_sparsity</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">set_flag</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">BuilderFlag</span><span class="o">.</span><span class="n">SPARSE_WEIGHTS</span><span class="p">)</span>
|
||
|
||
<span class="c1"># TODO: remove this constraint after trt 10.6 is integrated</span>
|
||
<span class="k">if</span> <span class="n">trt_gte</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">6</span><span class="p">):</span>
|
||
<span class="c1"># set monitor memory</span>
|
||
<span class="n">monitor_memory</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">"monitor_memory"</span><span class="p">,</span> <span class="kc">False</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">monitor_memory</span><span class="p">:</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">set_flag</span><span class="p">(</span><span class="n">trt</span><span class="o">.</span><span class="n">BuilderFlag</span><span class="o">.</span><span class="n">MONITOR_MEMORY</span><span class="p">)</span>
|
||
|
||
<span class="k">return</span> <span class="n">BuilderConfig</span><span class="p">()</span><span class="o">.</span><span class="n">_init</span><span class="p">(</span><span class="n">config</span><span class="p">,</span>
|
||
<span class="n">precision</span><span class="o">=</span><span class="n">precision</span><span class="p">,</span>
|
||
<span class="n">tensor_parallel</span><span class="o">=</span><span class="n">tensor_parallel</span><span class="p">,</span>
|
||
<span class="n">use_refit</span><span class="o">=</span><span class="n">use_refit</span><span class="p">,</span>
|
||
<span class="n">int8</span><span class="o">=</span><span class="n">int8</span><span class="p">,</span>
|
||
<span class="n">force_num_profiles</span><span class="o">=</span><span class="n">force_num_profiles</span><span class="p">,</span>
|
||
<span class="n">strongly_typed</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">strongly_typed</span><span class="p">,</span>
|
||
<span class="n">use_strip_plan</span><span class="o">=</span><span class="n">use_strip_plan</span><span class="p">,</span>
|
||
<span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">_add_optimization_profile</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">network</span><span class="p">:</span> <span class="n">Network</span><span class="p">,</span>
|
||
<span class="n">builder_config</span><span class="p">:</span> <span class="n">BuilderConfig</span><span class="p">):</span>
|
||
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">builder_config</span><span class="p">,</span> <span class="n">BuilderConfig</span><span class="p">)</span>
|
||
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">network</span><span class="p">,</span> <span class="n">Network</span><span class="p">)</span>
|
||
<span class="n">input_tensors</span> <span class="o">=</span> <span class="n">network</span><span class="o">.</span><span class="n">_inputs</span>
|
||
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_tensors</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="s2">"There are no inputs in the network!"</span><span class="p">)</span>
|
||
<span class="k">return</span>
|
||
<span class="n">num_profiles</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">input_tensors</span><span class="o">.</span><span class="n">values</span><span class="p">())[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">profiles</span><span class="p">)</span>
|
||
<span class="n">force_num_profiles</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">builder_config</span><span class="p">,</span> <span class="s2">"force_num_profiles"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">num_profiles</span><span class="p">):</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Adding optimization profile </span><span class="si">{</span><span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="si">}</span><span class="s1">/</span><span class="si">{</span><span class="n">num_profiles</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
|
||
<span class="n">profile</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trt_builder</span><span class="o">.</span><span class="n">create_optimization_profile</span><span class="p">()</span>
|
||
<span class="k">for</span> <span class="n">input_name</span> <span class="ow">in</span> <span class="n">input_tensors</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
|
||
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_tensors</span><span class="p">[</span><span class="n">input_name</span><span class="p">]</span><span class="o">.</span><span class="n">profiles</span><span class="p">)</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="k">continue</span>
|
||
<span class="n">shape_profile</span> <span class="o">=</span> <span class="n">input_tensors</span><span class="p">[</span><span class="n">input_name</span><span class="p">]</span><span class="o">.</span><span class="n">profiles</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
|
||
<span class="n">min_shape</span> <span class="o">=</span> <span class="p">[</span><span class="o">*</span><span class="n">shape_profile</span><span class="o">.</span><span class="n">min</span><span class="p">]</span>
|
||
<span class="n">opt_shape</span> <span class="o">=</span> <span class="p">[</span><span class="o">*</span><span class="n">shape_profile</span><span class="o">.</span><span class="n">opt</span><span class="p">]</span>
|
||
<span class="n">max_shape</span> <span class="o">=</span> <span class="p">[</span><span class="o">*</span><span class="n">shape_profile</span><span class="o">.</span><span class="n">max</span><span class="p">]</span>
|
||
<span class="k">if</span> <span class="n">network</span><span class="o">.</span><span class="n">_auto_parallel_config</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">io_shards</span> <span class="o">=</span> <span class="n">network</span><span class="o">.</span><span class="n">_auto_parallel_config</span><span class="p">[</span><span class="s2">"io_shards"</span><span class="p">]</span>
|
||
<span class="k">if</span> <span class="n">input_name</span> <span class="ow">in</span> <span class="n">io_shards</span><span class="p">:</span>
|
||
<span class="n">shards</span> <span class="o">=</span> <span class="n">io_shards</span><span class="p">[</span><span class="n">input_name</span><span class="p">]</span>
|
||
<span class="k">for</span> <span class="n">dim</span><span class="p">,</span> <span class="n">shard_num</span> <span class="ow">in</span> <span class="n">shards</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="n">min_shape</span><span class="p">[</span><span class="n">dim</span><span class="p">]</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span>
|
||
<span class="n">math</span><span class="o">.</span><span class="n">floor</span><span class="p">(</span><span class="n">min_shape</span><span class="p">[</span><span class="n">dim</span><span class="p">]</span> <span class="o">/</span> <span class="n">shard_num</span><span class="p">))</span>
|
||
<span class="n">opt_shape</span><span class="p">[</span><span class="n">dim</span><span class="p">]</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span>
|
||
<span class="nb">round</span><span class="p">(</span><span class="n">opt_shape</span><span class="p">[</span><span class="n">dim</span><span class="p">]</span> <span class="o">/</span> <span class="n">shard_num</span><span class="p">))</span>
|
||
<span class="n">max_shape</span><span class="p">[</span><span class="n">dim</span><span class="p">]</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span>
|
||
<span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">max_shape</span><span class="p">[</span><span class="n">dim</span><span class="p">]</span> <span class="o">/</span> <span class="n">shard_num</span><span class="p">))</span>
|
||
<span class="n">profile</span><span class="o">.</span><span class="n">set_shape</span><span class="p">(</span><span class="n">input_name</span><span class="p">,</span> <span class="n">min_shape</span><span class="p">,</span> <span class="n">opt_shape</span><span class="p">,</span> <span class="n">max_shape</span><span class="p">)</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="n">input_name</span><span class="si">}</span><span class="s1">, min: </span><span class="si">{</span><span class="n">min_shape</span><span class="si">}</span><span class="s1">, opt: </span><span class="si">{</span><span class="n">opt_shape</span><span class="si">}</span><span class="s1">, max: </span><span class="si">{</span><span class="n">max_shape</span><span class="si">}</span><span class="s1">, dimension names: </span><span class="si">{</span><span class="n">shape_profile</span><span class="o">.</span><span class="n">dimension_names</span><span class="si">}</span><span class="s1">'</span>
|
||
<span class="p">)</span>
|
||
<span class="n">ret</span> <span class="o">=</span> <span class="n">builder_config</span><span class="o">.</span><span class="n">trt_builder_config</span><span class="o">.</span><span class="n">add_optimization_profile</span><span class="p">(</span>
|
||
<span class="n">profile</span><span class="p">)</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Added optimization profile: #</span><span class="si">{</span><span class="n">ret</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">force_num_profiles</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="p">(</span>
|
||
<span class="n">i</span> <span class="o">+</span> <span class="mi">1</span>
|
||
<span class="p">)</span> <span class="o">==</span> <span class="n">force_num_profiles</span> <span class="ow">and</span> <span class="n">force_num_profiles</span> <span class="o"><</span> <span class="n">num_profiles</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s2">"Only adding </span><span class="si">{</span><span class="n">force_num_profiles</span><span class="si">}</span><span class="s2"> profiles instead of </span><span class="si">{</span><span class="n">num_profiles</span><span class="si">}</span><span class="s2">."</span>
|
||
<span class="p">)</span>
|
||
<span class="k">break</span>
|
||
<span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">_validate_named_dimensions</span><span class="p">(</span>
|
||
<span class="n">network</span><span class="p">,</span> <span class="n">builder_config</span>
|
||
<span class="p">),</span> <span class="s2">"Validation of the tensor dimension ranges failed, please check the dimension ranges, find the offensive tensor and dimension name in above the error log"</span>
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">_validate_named_dimensions</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">network</span><span class="p">:</span> <span class="n">Network</span><span class="p">,</span>
|
||
<span class="n">builder_config</span><span class="p">)</span> <span class="o">-></span> <span class="nb">bool</span><span class="p">:</span>
|
||
<span class="w"> </span><span class="sd">'''</span>
|
||
<span class="sd"> For each profile, validate that the named dimensions of different input tensors in this profile all have same range.</span>
|
||
<span class="sd"> TRT will validate the same condition, validate it earlier to make sure the modeling in TensorRT-LLM are correct and</span>
|
||
<span class="sd"> makes the error msg more user friendly.</span>
|
||
<span class="sd"> '''</span>
|
||
<span class="n">valid</span> <span class="o">=</span> <span class="kc">True</span>
|
||
<span class="k">for</span> <span class="n">profile_idx</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span>
|
||
<span class="n">builder_config</span><span class="o">.</span><span class="n">trt_builder_config</span><span class="o">.</span><span class="n">num_optimization_profiles</span><span class="p">):</span>
|
||
<span class="n">dimension_to_range</span> <span class="o">=</span> <span class="p">{}</span>
|
||
<span class="k">for</span> <span class="n">input_name</span><span class="p">,</span> <span class="n">input_tensor</span> <span class="ow">in</span> <span class="n">network</span><span class="o">.</span><span class="n">_inputs</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="c1"># it's legal that a Tensor does not have dim_range?</span>
|
||
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">input_tensor</span><span class="o">.</span><span class="n">profiles</span><span class="p">)</span> <span class="o">!=</span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="n">profile</span> <span class="o">=</span> <span class="n">input_tensor</span><span class="o">.</span><span class="n">profiles</span><span class="p">[</span><span class="n">profile_idx</span><span class="p">]</span>
|
||
<span class="k">for</span> <span class="n">dim_idx</span><span class="p">,</span> <span class="n">dim_name</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">profile</span><span class="o">.</span><span class="n">dimension_names</span><span class="p">):</span>
|
||
<span class="k">if</span> <span class="n">dim_name</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">dimension_to_range</span><span class="p">:</span>
|
||
<span class="n">dimension_to_range</span><span class="p">[</span><span class="n">dim_name</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
|
||
<span class="nb">min</span><span class="p">,</span> <span class="n">opt</span><span class="p">,</span> <span class="nb">max</span> <span class="o">=</span> <span class="n">profile</span><span class="o">.</span><span class="n">min</span><span class="p">[</span><span class="n">dim_idx</span><span class="p">],</span> <span class="n">profile</span><span class="o">.</span><span class="n">opt</span><span class="p">[</span>
|
||
<span class="n">dim_idx</span><span class="p">],</span> <span class="n">profile</span><span class="o">.</span><span class="n">max</span><span class="p">[</span><span class="n">dim_idx</span><span class="p">]</span>
|
||
<span class="n">dimension_to_range</span><span class="p">[</span><span class="n">dim_name</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
|
||
<span class="p">(</span><span class="n">input_name</span><span class="p">,</span> <span class="p">(</span><span class="nb">min</span><span class="p">,</span> <span class="n">opt</span><span class="p">,</span> <span class="nb">max</span><span class="p">)))</span>
|
||
<span class="k">for</span> <span class="n">dim</span><span class="p">,</span> <span class="n">ranges</span> <span class="ow">in</span> <span class="n">dimension_to_range</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="n">unique_ranges</span> <span class="o">=</span> <span class="nb">set</span><span class="p">([</span><span class="n">r</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">ranges</span><span class="p">])</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s2">"Validating dimension:</span><span class="si">{</span><span class="n">dim</span><span class="si">}</span><span class="s2">, ranges for this dim are:</span><span class="si">{</span><span class="n">unique_ranges</span><span class="si">}</span><span class="s2">"</span>
|
||
<span class="p">)</span>
|
||
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">unique_ranges</span><span class="p">)</span> <span class="o">!=</span> <span class="mi">1</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s2">"Found illegal dimension setting for profile </span><span class="si">{</span><span class="n">profile_idx</span><span class="si">}</span><span class="s2">, dimension name is: </span><span class="si">{</span><span class="n">dim</span><span class="si">}</span><span class="s2">"</span>
|
||
<span class="p">)</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span>
|
||
<span class="s2">"Offensive tensors which have this dimension are:</span><span class="se">\n</span><span class="s2">"</span> <span class="o">+</span>
|
||
<span class="s2">"</span><span class="se">\n</span><span class="s2">"</span><span class="o">.</span><span class="n">join</span><span class="p">([</span><span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">r</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="si">}</span><span class="s2"> </span><span class="si">{</span><span class="n">dim</span><span class="si">}</span><span class="s2"> </span><span class="si">{</span><span class="n">r</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s2">"</span> <span class="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">ranges</span><span class="p">]))</span>
|
||
<span class="n">valid</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="k">return</span> <span class="n">valid</span>
|
||
|
||
<span class="nd">@_is_building</span>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">refit_engine</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">network</span><span class="p">:</span> <span class="n">Network</span><span class="p">,</span> <span class="n">engine_buffer</span><span class="p">)</span> <span class="o">-></span> <span class="n">trt</span><span class="o">.</span><span class="n">IHostMemory</span><span class="p">:</span>
|
||
<span class="w"> </span><span class="sd">'''</span>
|
||
<span class="sd"> @brief: Refit one TensorRT engine using weights from the network,</span>
|
||
<span class="sd"> user should guarantee that the engine is built with REFIT flag, and the network has the same structure with the engine.</span>
|
||
<span class="sd"> @param engine_buffer: A serialized TensorRT engine.</span>
|
||
<span class="sd"> @param network: Network object.</span>
|
||
<span class="sd"> @return: A serialized TRT engine if refit successfully, None otherwise</span>
|
||
<span class="sd"> '''</span>
|
||
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">network</span><span class="p">,</span> <span class="n">Network</span><span class="p">)</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="s1">'Refit TRT engine'</span><span class="p">)</span>
|
||
<span class="n">runtime</span> <span class="o">=</span> <span class="n">trt</span><span class="o">.</span><span class="n">Runtime</span><span class="p">(</span><span class="n">logger</span><span class="o">.</span><span class="n">trt_logger</span><span class="p">)</span>
|
||
<span class="n">engine</span> <span class="o">=</span> <span class="n">runtime</span><span class="o">.</span><span class="n">deserialize_cuda_engine</span><span class="p">(</span><span class="n">engine_buffer</span><span class="p">)</span>
|
||
|
||
<span class="n">tik</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||
|
||
<span class="c1"># Refit engine</span>
|
||
<span class="n">refitter</span> <span class="o">=</span> <span class="n">trt</span><span class="o">.</span><span class="n">Refitter</span><span class="p">(</span><span class="n">engine</span><span class="p">,</span> <span class="n">logger</span><span class="o">.</span><span class="n">trt_logger</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">network</span><span class="o">.</span><span class="n">named_parameters</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">network</span><span class="o">.</span><span class="n">named_parameters</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="n">param</span><span class="o">.</span><span class="n">_get_weights</span><span class="p">(</span>
|
||
<span class="p">)</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="ow">not</span> <span class="n">refitter</span><span class="o">.</span><span class="n">set_named_weights</span><span class="p">(</span>
|
||
<span class="n">name</span><span class="p">,</span> <span class="n">param</span><span class="o">.</span><span class="n">_get_weights</span><span class="p">()):</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Failed to refit weight: </span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
|
||
<span class="k">return</span> <span class="kc">None</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span>
|
||
<span class="s1">'Please set named parameters before building multiple engines.'</span><span class="p">)</span>
|
||
<span class="k">return</span> <span class="kc">None</span>
|
||
|
||
<span class="k">if</span> <span class="ow">not</span> <span class="n">refitter</span><span class="o">.</span><span class="n">refit_cuda_engine</span><span class="p">():</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="s1">'Failed to refit engine.'</span><span class="p">)</span>
|
||
<span class="k">return</span> <span class="kc">None</span>
|
||
|
||
<span class="n">tok</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||
<span class="n">t</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">'%H:%M:%S'</span><span class="p">,</span> <span class="n">time</span><span class="o">.</span><span class="n">gmtime</span><span class="p">(</span><span class="n">tok</span> <span class="o">-</span> <span class="n">tik</span><span class="p">))</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Total time of refitting </span><span class="si">{</span><span class="n">engine</span><span class="o">.</span><span class="n">name</span><span class="si">}</span><span class="s1">: </span><span class="si">{</span><span class="n">t</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
|
||
<span class="n">serialized_engine</span> <span class="o">=</span> <span class="n">engine</span><span class="o">.</span><span class="n">serialize</span><span class="p">()</span>
|
||
<span class="k">return</span> <span class="n">serialized_engine</span>
|
||
|
||
<span class="nd">@_is_building</span>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">build_engine</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
|
||
<span class="n">network</span><span class="p">:</span> <span class="n">Network</span><span class="p">,</span>
|
||
<span class="n">builder_config</span><span class="p">:</span> <span class="n">BuilderConfig</span><span class="p">,</span>
|
||
<span class="n">managed_weights</span><span class="p">:</span> <span class="nb">dict</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-></span> <span class="n">trt</span><span class="o">.</span><span class="n">IHostMemory</span><span class="p">:</span>
|
||
<span class="w"> </span><span class="sd">'''</span>
|
||
<span class="sd"> @brief: Build one TensorRT engine from the network.</span>
|
||
<span class="sd"> @param network: Network object.</span>
|
||
<span class="sd"> @param builder_config: BuilderConfig object.</span>
|
||
<span class="sd"> @return: A serialized TRT engine.</span>
|
||
<span class="sd"> '''</span>
|
||
<span class="k">assert</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">network</span><span class="p">,</span> <span class="n">Network</span><span class="p">)</span>
|
||
<span class="n">builder_config</span><span class="o">.</span><span class="n">plugin_config</span> <span class="o">=</span> <span class="n">network</span><span class="o">.</span><span class="n">plugin_config</span>
|
||
<span class="n">builder_config</span><span class="o">.</span><span class="n">auto_parallel_config</span> <span class="o">=</span> <span class="n">network</span><span class="o">.</span><span class="n">auto_parallel_config</span>
|
||
<span class="k">if</span> <span class="n">builder_config</span><span class="o">.</span><span class="n">trt_builder_config</span><span class="o">.</span><span class="n">num_optimization_profiles</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">_add_optimization_profile</span><span class="p">(</span><span class="n">network</span><span class="p">,</span> <span class="n">builder_config</span><span class="p">)</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s2">"Total optimization profiles added: </span><span class="si">{</span><span class="n">builder_config</span><span class="o">.</span><span class="n">trt_builder_config</span><span class="o">.</span><span class="n">num_optimization_profiles</span><span class="si">}</span><span class="s2">"</span>
|
||
<span class="p">)</span>
|
||
<span class="n">engine</span> <span class="o">=</span> <span class="kc">None</span>
|
||
|
||
<span class="n">tik</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||
<span class="c1"># Rename weights</span>
|
||
<span class="k">if</span> <span class="n">network</span><span class="o">.</span><span class="n">named_parameters</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">managed_parameters</span> <span class="o">=</span> <span class="p">[]</span>
|
||
<span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">network</span><span class="o">.</span><span class="n">named_parameters</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="n">param</span><span class="o">.</span><span class="n">is_managed</span><span class="p">(</span><span class="n">network</span><span class="p">):</span>
|
||
<span class="k">assert</span> <span class="n">managed_weights</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">,</span> <span class="s2">"managed_weights should be provided when enabled"</span>
|
||
<span class="n">managed_parameters</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">param</span><span class="p">)</span>
|
||
<span class="n">param</span><span class="o">.</span><span class="n">set_name</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">network</span><span class="p">)</span>
|
||
<span class="k">continue</span>
|
||
<span class="k">if</span> <span class="n">param</span><span class="o">.</span><span class="n">_get_weights</span><span class="p">(</span><span class="n">network</span><span class="p">)</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="ow">not</span> <span class="n">param</span><span class="o">.</span><span class="n">is_buffer</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s2">"Parameter </span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s2"> </span><span class="si">{</span><span class="n">param</span><span class="o">.</span><span class="n">raw_value</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s2"> </span><span class="si">{</span><span class="n">param</span><span class="o">.</span><span class="n">raw_value</span><span class="o">.</span><span class="n">dtype</span><span class="si">}</span><span class="s2"> was created"</span>
|
||
<span class="s2">" but unused in forward method, so not materialized to TRT network"</span>
|
||
<span class="p">)</span>
|
||
<span class="k">continue</span>
|
||
<span class="k">if</span> <span class="ow">not</span> <span class="n">param</span><span class="o">.</span><span class="n">set_name</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">network</span><span class="p">):</span>
|
||
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Failed to set weight: </span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
|
||
<span class="c1"># This mark_weights_refittable has no side effect when refit_individual is not enabled.</span>
|
||
<span class="n">network</span><span class="o">.</span><span class="n">trt_network</span><span class="o">.</span><span class="n">mark_weights_refittable</span><span class="p">(</span><span class="n">name</span><span class="p">)</span>
|
||
|
||
<span class="n">network</span><span class="o">.</span><span class="n">_fill_weights</span><span class="p">()</span>
|
||
<span class="n">tok</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||
<span class="n">t</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">'%H:%M:%S'</span><span class="p">,</span> <span class="n">time</span><span class="o">.</span><span class="n">gmtime</span><span class="p">(</span><span class="n">tok</span> <span class="o">-</span> <span class="n">tik</span><span class="p">))</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s1">'Total time to initialize the weights in network </span><span class="si">{</span><span class="n">network</span><span class="o">.</span><span class="n">trt_network</span><span class="o">.</span><span class="n">name</span><span class="si">}</span><span class="s1">: </span><span class="si">{</span><span class="n">t</span><span class="si">}</span><span class="s1">'</span>
|
||
<span class="p">)</span>
|
||
|
||
<span class="c1"># Build engine</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Build TensorRT engine </span><span class="si">{</span><span class="n">network</span><span class="o">.</span><span class="n">trt_network</span><span class="o">.</span><span class="n">name</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
|
||
<span class="n">tik</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||
<span class="n">engine</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">trt_builder</span><span class="o">.</span><span class="n">build_serialized_network</span><span class="p">(</span>
|
||
<span class="n">network</span><span class="o">.</span><span class="n">trt_network</span><span class="p">,</span> <span class="n">builder_config</span><span class="o">.</span><span class="n">trt_builder_config</span><span class="p">)</span>
|
||
<span class="k">assert</span> <span class="n">engine</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">,</span> <span class="s1">'Engine building failed, please check the error log.'</span>
|
||
|
||
<span class="n">tok</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||
<span class="n">t</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">'%H:%M:%S'</span><span class="p">,</span> <span class="n">time</span><span class="o">.</span><span class="n">gmtime</span><span class="p">(</span><span class="n">tok</span> <span class="o">-</span> <span class="n">tik</span><span class="p">))</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Total time of building </span><span class="si">{</span><span class="n">network</span><span class="o">.</span><span class="n">trt_network</span><span class="o">.</span><span class="n">name</span><span class="si">}</span><span class="s1">: </span><span class="si">{</span><span class="n">t</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="n">managed_weights</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">network</span><span class="o">.</span><span class="n">named_parameters</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="k">for</span> <span class="n">param</span> <span class="ow">in</span> <span class="n">managed_parameters</span><span class="p">:</span>
|
||
<span class="n">name</span> <span class="o">=</span> <span class="n">param</span><span class="o">.</span><span class="n">name</span>
|
||
<span class="n">value</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span> <span class="o">=</span> <span class="n">param</span><span class="o">.</span><span class="n">_value</span>
|
||
<span class="k">if</span> <span class="n">value</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">error</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Failed to get weight: </span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
|
||
<span class="k">continue</span>
|
||
<span class="k">if</span> <span class="n">param</span><span class="o">.</span><span class="n">need_transpose</span><span class="p">:</span>
|
||
<span class="c1"># MOE has ndim=3 and uses plugin, no need to transpose</span>
|
||
<span class="n">value</span> <span class="o">=</span> <span class="n">value</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span> <span class="c1"># WAR for bug 4641821</span>
|
||
<span class="n">managed_weights</span><span class="p">[</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="n">value</span>
|
||
|
||
<span class="k">return</span> <span class="n">engine</span>
|
||
|
||
<span class="nd">@staticmethod</span>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">save_timing_cache</span><span class="p">(</span><span class="n">builder_config</span><span class="p">:</span> <span class="n">BuilderConfig</span><span class="p">,</span> <span class="n">out_path</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="nb">bool</span><span class="p">:</span>
|
||
<span class="w"> </span><span class="sd">'''Serialize timing cache of given builder config to file specified by out_path</span>
|
||
<span class="sd"> return True if the cache is successfully serialized, False otherwise</span>
|
||
<span class="sd"> '''</span>
|
||
<span class="n">cache</span> <span class="o">=</span> <span class="n">builder_config</span><span class="o">.</span><span class="n">trt_builder_config</span><span class="o">.</span><span class="n">get_timing_cache</span><span class="p">()</span>
|
||
<span class="k">if</span> <span class="n">cache</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="s1">'No timing cache found in the given builder config, skip saving.'</span>
|
||
<span class="p">)</span>
|
||
<span class="k">return</span> <span class="kc">False</span>
|
||
<span class="k">with</span> <span class="n">cache</span><span class="o">.</span><span class="n">serialize</span><span class="p">()</span> <span class="k">as</span> <span class="n">buffer</span><span class="p">:</span>
|
||
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">out_path</span><span class="p">,</span> <span class="s2">"wb"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
|
||
<span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">buffer</span><span class="p">)</span>
|
||
<span class="n">f</span><span class="o">.</span><span class="n">flush</span><span class="p">()</span>
|
||
<span class="n">os</span><span class="o">.</span><span class="n">fsync</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Timing cache serialized to </span><span class="si">{</span><span class="n">out_path</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
|
||
<span class="k">return</span> <span class="kc">True</span>
|
||
|
||
<span class="nd">@staticmethod</span>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">save_config</span><span class="p">(</span><span class="n">builder_config</span><span class="p">:</span> <span class="n">BuilderConfig</span><span class="p">,</span> <span class="n">config_path</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span>
|
||
<span class="n">config</span> <span class="o">=</span> <span class="n">builder_config</span><span class="o">.</span><span class="n">to_dict</span><span class="p">()</span>
|
||
<span class="n">to_json_file</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="n">config_path</span><span class="p">)</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Config saved to </span><span class="si">{</span><span class="n">config_path</span><span class="si">}</span><span class="s1">.'</span><span class="p">)</span>
|
||
|
||
|
||
<div class="viewcode-block" id="BuildConfig">
|
||
<a class="viewcode-back" href="../../llm-api/reference.html#tensorrt_llm.llmapi.BuildConfig">[docs]</a>
|
||
<span class="nd">@dataclass</span>
|
||
<span class="k">class</span><span class="w"> </span><span class="nc">BuildConfig</span><span class="p">:</span>
|
||
<span class="n">max_input_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1024</span>
|
||
<span class="n">max_seq_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">None</span>
|
||
<span class="n">opt_batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">8</span>
|
||
<span class="n">max_batch_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">2048</span>
|
||
<span class="n">max_beam_width</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span>
|
||
<span class="n">max_num_tokens</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">8192</span>
|
||
<span class="n">opt_num_tokens</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
|
||
<span class="n">max_prompt_embedding_table_size</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span>
|
||
<span class="n">kv_cache_type</span><span class="p">:</span> <span class="n">KVCacheType</span> <span class="o">=</span> <span class="kc">None</span>
|
||
<span class="n">gather_context_logits</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">gather_generation_logits</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">strongly_typed</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span>
|
||
<span class="n">force_num_profiles</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
|
||
<span class="n">profiling_verbosity</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'layer_names_only'</span>
|
||
<span class="n">enable_debug_output</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">max_draft_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span>
|
||
<span class="n">speculative_decoding_mode</span><span class="p">:</span> <span class="n">SpeculativeDecodingMode</span> <span class="o">=</span> <span class="n">SpeculativeDecodingMode</span><span class="o">.</span><span class="n">NONE</span>
|
||
<span class="n">use_refit</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">input_timing_cache</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span>
|
||
<span class="n">output_timing_cache</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'model.cache'</span>
|
||
<span class="n">lora_config</span><span class="p">:</span> <span class="n">LoraConfig</span> <span class="o">=</span> <span class="n">field</span><span class="p">(</span><span class="n">default_factory</span><span class="o">=</span><span class="n">LoraConfig</span><span class="p">)</span>
|
||
<span class="n">auto_parallel_config</span><span class="p">:</span> <span class="n">AutoParallelConfig</span> <span class="o">=</span> <span class="n">field</span><span class="p">(</span>
|
||
<span class="n">default_factory</span><span class="o">=</span><span class="n">AutoParallelConfig</span><span class="p">)</span>
|
||
<span class="n">weight_sparsity</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">weight_streaming</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">plugin_config</span><span class="p">:</span> <span class="n">PluginConfig</span> <span class="o">=</span> <span class="n">field</span><span class="p">(</span><span class="n">default_factory</span><span class="o">=</span><span class="n">PluginConfig</span><span class="p">)</span>
|
||
<span class="n">use_strip_plan</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">max_encoder_input_len</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1024</span> <span class="c1"># for enc-dec DecoderModel</span>
|
||
<span class="n">dry_run</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">visualize_network</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="kc">None</span>
|
||
<span class="n">monitor_memory</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">use_mrope</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span>
|
||
|
||
<span class="c1"># Since we have some overlapping between kv_cache_type, paged_kv_cache, and paged_state (later two will be deprecated in the future),</span>
|
||
<span class="c1"># we need to handle it given model architecture.</span>
|
||
<div class="viewcode-block" id="BuildConfig.update_kv_cache_type">
|
||
<a class="viewcode-back" href="../../llm-api/reference.html#tensorrt_llm.llmapi.BuildConfig.update_kv_cache_type">[docs]</a>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">update_kv_cache_type</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model_architecture</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span>
|
||
<span class="n">paged_kv_cache_attr</span> <span class="o">=</span> <span class="s1">'paged_state'</span> <span class="k">if</span> <span class="n">model_architecture</span> <span class="ow">in</span> <span class="p">[</span>
|
||
<span class="s1">'MambaForCausalLM'</span><span class="p">,</span> <span class="s1">'RecurrentGemmaForCausalLM'</span>
|
||
<span class="p">]</span> <span class="k">else</span> <span class="s1">'paged_kv_cache'</span>
|
||
<span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">plugin_config</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
|
||
<span class="n">paged_kv_cache_val</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">plugin_config</span><span class="p">,</span> <span class="n">paged_kv_cache_attr</span><span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">kv_cache_type</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="n">paged_kv_cache_val</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="k">assert</span> <span class="p">(</span><span class="n">paged_kv_cache_val</span> <span class="o">==</span> <span class="kc">True</span>
|
||
<span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">kv_cache_type</span> <span class="o">==</span> <span class="n">KVCacheType</span><span class="o">.</span><span class="n">PAGED</span><span class="p">)</span> <span class="ow">or</span> <span class="p">(</span>
|
||
<span class="n">paged_kv_cache_val</span> <span class="o">==</span> <span class="kc">False</span>
|
||
<span class="ow">and</span> <span class="bp">self</span><span class="o">.</span><span class="n">kv_cache_type</span> <span class="o">!=</span> <span class="n">KVCacheType</span><span class="o">.</span><span class="n">PAGED</span><span class="p">)</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="nb">setattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">plugin_config</span><span class="p">,</span> <span class="n">paged_kv_cache_attr</span><span class="p">,</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">kv_cache_type</span> <span class="o">==</span> <span class="n">KVCacheType</span><span class="o">.</span><span class="n">PAGED</span><span class="p">)</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="n">paged_kv_cache_val</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">kv_cache_type</span> <span class="o">=</span> <span class="n">KVCacheType</span><span class="o">.</span><span class="n">PAGED</span> <span class="k">if</span> <span class="n">paged_kv_cache_val</span> <span class="k">else</span> <span class="n">KVCacheType</span><span class="o">.</span><span class="n">CONTINUOUS</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">kv_cache_type</span> <span class="o">=</span> <span class="n">KVCacheType</span><span class="o">.</span><span class="n">PAGED</span>
|
||
<span class="nb">setattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">plugin_config</span><span class="p">,</span> <span class="n">paged_kv_cache_attr</span><span class="p">,</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">kv_cache_type</span> <span class="o">==</span> <span class="n">KVCacheType</span><span class="o">.</span><span class="n">PAGED</span><span class="p">)</span>
|
||
|
||
<span class="k">assert</span> <span class="bp">self</span><span class="o">.</span><span class="n">kv_cache_type</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="nb">getattr</span><span class="p">(</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">plugin_config</span><span class="p">,</span> <span class="n">paged_kv_cache_attr</span><span class="p">)</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span>
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">override_attri</span><span class="p">(</span><span class="n">attr_name</span><span class="p">,</span> <span class="n">value</span><span class="p">):</span>
|
||
<span class="n">val</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">plugin_config</span><span class="p">,</span> <span class="n">attr_name</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">val</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">val</span> <span class="o">!=</span> <span class="n">value</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Overriding </span><span class="si">{</span><span class="n">attr_name</span><span class="si">}</span><span class="s1"> to </span><span class="si">{</span><span class="n">value</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
|
||
<span class="nb">setattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">plugin_config</span><span class="p">,</span> <span class="n">attr_name</span><span class="p">,</span> <span class="n">value</span><span class="p">)</span>
|
||
|
||
<span class="c1"># Init other paged kvcache attri to false. For RecurrentGemma, we only support paged_state and paged_kv_cache have</span>
|
||
<span class="c1"># the same values. All other models should only consume either of the value and set other to False.</span>
|
||
<span class="n">is_recurrent_gemma</span> <span class="o">=</span> <span class="n">model_architecture</span> <span class="o">==</span> <span class="s1">'RecurrentGemmaForCausalLM'</span>
|
||
|
||
<span class="k">if</span> <span class="n">paged_kv_cache_attr</span> <span class="o">==</span> <span class="s1">'paged_state'</span><span class="p">:</span>
|
||
<span class="n">override_attri</span><span class="p">(</span>
|
||
<span class="s1">'paged_kv_cache'</span><span class="p">,</span>
|
||
<span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">plugin_config</span><span class="p">,</span> <span class="n">paged_kv_cache_attr</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">is_recurrent_gemma</span> <span class="k">else</span> <span class="kc">False</span><span class="p">)</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="n">override_attri</span><span class="p">(</span><span class="s1">'paged_state'</span><span class="p">,</span> <span class="kc">False</span><span class="p">)</span></div>
|
||
|
||
|
||
<div class="viewcode-block" id="BuildConfig.get_build_config_defaults">
|
||
<a class="viewcode-back" href="../../llm-api/reference.html#tensorrt_llm.llmapi.BuildConfig.get_build_config_defaults">[docs]</a>
|
||
<span class="nd">@classmethod</span>
|
||
<span class="nd">@cache</span>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">get_build_config_defaults</span><span class="p">(</span><span class="bp">cls</span><span class="p">):</span>
|
||
<span class="k">return</span> <span class="p">{</span>
|
||
<span class="n">field</span><span class="o">.</span><span class="n">name</span><span class="p">:</span> <span class="n">field</span><span class="o">.</span><span class="n">default</span>
|
||
<span class="k">for</span> <span class="n">field</span> <span class="ow">in</span> <span class="n">dataclasses</span><span class="o">.</span><span class="n">fields</span><span class="p">(</span><span class="bp">cls</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">field</span><span class="o">.</span><span class="n">default</span> <span class="ow">is</span> <span class="ow">not</span> <span class="n">dataclasses</span><span class="o">.</span><span class="n">MISSING</span>
|
||
<span class="p">}</span></div>
|
||
|
||
|
||
<div class="viewcode-block" id="BuildConfig.from_dict">
|
||
<a class="viewcode-back" href="../../llm-api/reference.html#tensorrt_llm.llmapi.BuildConfig.from_dict">[docs]</a>
|
||
<span class="nd">@classmethod</span>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">from_dict</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">config</span><span class="p">,</span> <span class="n">plugin_config</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
|
||
<span class="n">config</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span>
|
||
<span class="n">config</span>
|
||
<span class="p">)</span> <span class="c1"># it just does not make sense to change the input arg `config`</span>
|
||
|
||
<span class="n">defaults</span> <span class="o">=</span> <span class="bp">cls</span><span class="o">.</span><span class="n">get_build_config_defaults</span><span class="p">()</span>
|
||
<span class="n">max_input_len</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'max_input_len'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'max_input_len'</span><span class="p">))</span>
|
||
<span class="n">max_seq_len</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'max_seq_len'</span><span class="p">,</span> <span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'max_seq_len'</span><span class="p">))</span>
|
||
<span class="n">max_batch_size</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'max_batch_size'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'max_batch_size'</span><span class="p">))</span>
|
||
<span class="n">max_beam_width</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'max_beam_width'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'max_beam_width'</span><span class="p">))</span>
|
||
<span class="n">max_num_tokens</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'max_num_tokens'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'max_num_tokens'</span><span class="p">))</span>
|
||
<span class="n">opt_num_tokens</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'opt_num_tokens'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'opt_num_tokens'</span><span class="p">))</span>
|
||
<span class="n">opt_batch_size</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'opt_batch_size'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'opt_batch_size'</span><span class="p">))</span>
|
||
<span class="n">max_prompt_embedding_table_size</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span>
|
||
<span class="s1">'max_prompt_embedding_table_size'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'max_prompt_embedding_table_size'</span><span class="p">))</span>
|
||
|
||
<span class="k">if</span> <span class="s2">"kv_cache_type"</span> <span class="ow">in</span> <span class="n">config</span> <span class="ow">and</span> <span class="n">config</span><span class="p">[</span><span class="s2">"kv_cache_type"</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">kv_cache_type</span> <span class="o">=</span> <span class="n">KVCacheType</span><span class="o">.</span><span class="n">from_string</span><span class="p">(</span><span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'kv_cache_type'</span><span class="p">))</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="n">kv_cache_type</span> <span class="o">=</span> <span class="kc">None</span>
|
||
<span class="n">gather_context_logits</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span>
|
||
<span class="s1">'gather_context_logits'</span><span class="p">,</span> <span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'gather_context_logits'</span><span class="p">))</span>
|
||
<span class="n">gather_generation_logits</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span>
|
||
<span class="s1">'gather_generation_logits'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'gather_generation_logits'</span><span class="p">))</span>
|
||
<span class="n">strongly_typed</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'strongly_typed'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'strongly_typed'</span><span class="p">))</span>
|
||
<span class="n">force_num_profiles</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'force_num_profiles'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'force_num_profiles'</span><span class="p">))</span>
|
||
<span class="n">weight_sparsity</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'weight_sparsity'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'weight_sparsity'</span><span class="p">))</span>
|
||
<span class="n">profiling_verbosity</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'profiling_verbosity'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'profiling_verbosity'</span><span class="p">))</span>
|
||
<span class="n">enable_debug_output</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'enable_debug_output'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'enable_debug_output'</span><span class="p">))</span>
|
||
<span class="n">max_draft_len</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'max_draft_len'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'max_draft_len'</span><span class="p">))</span>
|
||
<span class="n">speculative_decoding_mode</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span>
|
||
<span class="s1">'speculative_decoding_mode'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'speculative_decoding_mode'</span><span class="p">))</span>
|
||
<span class="n">use_refit</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'use_refit'</span><span class="p">,</span> <span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'use_refit'</span><span class="p">))</span>
|
||
<span class="n">input_timing_cache</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'input_timing_cache'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'input_timing_cache'</span><span class="p">))</span>
|
||
<span class="n">output_timing_cache</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'output_timing_cache'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'output_timing_cache'</span><span class="p">))</span>
|
||
<span class="n">lora_config</span> <span class="o">=</span> <span class="n">LoraConfig</span><span class="o">.</span><span class="n">from_dict</span><span class="p">(</span><span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'lora_config'</span><span class="p">,</span> <span class="p">{}))</span>
|
||
<span class="n">auto_parallel_config</span> <span class="o">=</span> <span class="n">AutoParallelConfig</span><span class="o">.</span><span class="n">from_dict</span><span class="p">(</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'auto_parallel_config'</span><span class="p">,</span> <span class="p">{}))</span>
|
||
<span class="n">max_encoder_input_len</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span>
|
||
<span class="s1">'max_encoder_input_len'</span><span class="p">,</span> <span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'max_encoder_input_len'</span><span class="p">))</span>
|
||
<span class="n">weight_streaming</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'weight_streaming'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'weight_streaming'</span><span class="p">))</span>
|
||
<span class="n">use_strip_plan</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'use_strip_plan'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'use_strip_plan'</span><span class="p">))</span>
|
||
|
||
<span class="k">if</span> <span class="n">plugin_config</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">plugin_config</span> <span class="o">=</span> <span class="n">PluginConfig</span><span class="p">()</span>
|
||
<span class="k">if</span> <span class="s2">"plugin_config"</span> <span class="ow">in</span> <span class="n">config</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
|
||
<span class="n">plugin_config</span><span class="o">.</span><span class="n">update_from_dict</span><span class="p">(</span><span class="n">config</span><span class="p">[</span><span class="s2">"plugin_config"</span><span class="p">])</span>
|
||
|
||
<span class="n">dry_run</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'dry_run'</span><span class="p">,</span> <span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'dry_run'</span><span class="p">))</span>
|
||
<span class="n">visualize_network</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'visualize_network'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'visualize_network'</span><span class="p">))</span>
|
||
<span class="n">monitor_memory</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'monitor_memory'</span><span class="p">,</span>
|
||
<span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'monitor_memory'</span><span class="p">))</span>
|
||
<span class="n">use_mrope</span> <span class="o">=</span> <span class="n">config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'use_mrope'</span><span class="p">,</span> <span class="n">defaults</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'use_mrope'</span><span class="p">))</span>
|
||
|
||
<span class="k">return</span> <span class="bp">cls</span><span class="p">(</span>
|
||
<span class="n">max_input_len</span><span class="o">=</span><span class="n">max_input_len</span><span class="p">,</span>
|
||
<span class="n">max_seq_len</span><span class="o">=</span><span class="n">max_seq_len</span><span class="p">,</span>
|
||
<span class="n">max_batch_size</span><span class="o">=</span><span class="n">max_batch_size</span><span class="p">,</span>
|
||
<span class="n">max_beam_width</span><span class="o">=</span><span class="n">max_beam_width</span><span class="p">,</span>
|
||
<span class="n">max_num_tokens</span><span class="o">=</span><span class="n">max_num_tokens</span><span class="p">,</span>
|
||
<span class="n">opt_num_tokens</span><span class="o">=</span><span class="n">opt_num_tokens</span><span class="p">,</span>
|
||
<span class="n">opt_batch_size</span><span class="o">=</span><span class="n">opt_batch_size</span><span class="p">,</span>
|
||
<span class="n">max_prompt_embedding_table_size</span><span class="o">=</span><span class="n">max_prompt_embedding_table_size</span><span class="p">,</span>
|
||
<span class="n">kv_cache_type</span><span class="o">=</span><span class="n">kv_cache_type</span><span class="p">,</span>
|
||
<span class="n">gather_context_logits</span><span class="o">=</span><span class="n">gather_context_logits</span><span class="p">,</span>
|
||
<span class="n">gather_generation_logits</span><span class="o">=</span><span class="n">gather_generation_logits</span><span class="p">,</span>
|
||
<span class="n">strongly_typed</span><span class="o">=</span><span class="n">strongly_typed</span><span class="p">,</span>
|
||
<span class="n">force_num_profiles</span><span class="o">=</span><span class="n">force_num_profiles</span><span class="p">,</span>
|
||
<span class="n">profiling_verbosity</span><span class="o">=</span><span class="n">profiling_verbosity</span><span class="p">,</span>
|
||
<span class="n">enable_debug_output</span><span class="o">=</span><span class="n">enable_debug_output</span><span class="p">,</span>
|
||
<span class="n">max_draft_len</span><span class="o">=</span><span class="n">max_draft_len</span><span class="p">,</span>
|
||
<span class="n">speculative_decoding_mode</span><span class="o">=</span><span class="n">speculative_decoding_mode</span><span class="p">,</span>
|
||
<span class="n">use_refit</span><span class="o">=</span><span class="n">use_refit</span><span class="p">,</span>
|
||
<span class="n">input_timing_cache</span><span class="o">=</span><span class="n">input_timing_cache</span><span class="p">,</span>
|
||
<span class="n">output_timing_cache</span><span class="o">=</span><span class="n">output_timing_cache</span><span class="p">,</span>
|
||
<span class="n">lora_config</span><span class="o">=</span><span class="n">lora_config</span><span class="p">,</span>
|
||
<span class="n">auto_parallel_config</span><span class="o">=</span><span class="n">auto_parallel_config</span><span class="p">,</span>
|
||
<span class="n">use_strip_plan</span><span class="o">=</span><span class="n">use_strip_plan</span><span class="p">,</span>
|
||
<span class="n">max_encoder_input_len</span><span class="o">=</span><span class="n">max_encoder_input_len</span><span class="p">,</span>
|
||
<span class="n">weight_sparsity</span><span class="o">=</span><span class="n">weight_sparsity</span><span class="p">,</span>
|
||
<span class="n">weight_streaming</span><span class="o">=</span><span class="n">weight_streaming</span><span class="p">,</span>
|
||
<span class="n">plugin_config</span><span class="o">=</span><span class="n">plugin_config</span><span class="p">,</span>
|
||
<span class="n">dry_run</span><span class="o">=</span><span class="n">dry_run</span><span class="p">,</span>
|
||
<span class="n">visualize_network</span><span class="o">=</span><span class="n">visualize_network</span><span class="p">,</span>
|
||
<span class="n">monitor_memory</span><span class="o">=</span><span class="n">monitor_memory</span><span class="p">,</span>
|
||
<span class="n">use_mrope</span><span class="o">=</span><span class="n">use_mrope</span><span class="p">)</span></div>
|
||
|
||
|
||
<div class="viewcode-block" id="BuildConfig.from_json_file">
|
||
<a class="viewcode-back" href="../../llm-api/reference.html#tensorrt_llm.llmapi.BuildConfig.from_json_file">[docs]</a>
|
||
<span class="nd">@classmethod</span>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">from_json_file</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">config_file</span><span class="p">,</span> <span class="n">plugin_config</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
|
||
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">config_file</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
|
||
<span class="n">config</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
|
||
<span class="k">return</span> <span class="n">BuildConfig</span><span class="o">.</span><span class="n">from_dict</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="n">plugin_config</span><span class="o">=</span><span class="n">plugin_config</span><span class="p">)</span></div>
|
||
|
||
|
||
<div class="viewcode-block" id="BuildConfig.to_dict">
|
||
<a class="viewcode-back" href="../../llm-api/reference.html#tensorrt_llm.llmapi.BuildConfig.to_dict">[docs]</a>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">to_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||
<span class="n">output</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="vm">__dict__</span><span class="p">)</span>
|
||
<span class="c1"># the enum KVCacheType cannot be converted automatically</span>
|
||
<span class="k">if</span> <span class="n">output</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'kv_cache_type'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">output</span><span class="p">[</span><span class="s1">'kv_cache_type'</span><span class="p">]</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">output</span><span class="p">[</span><span class="s1">'kv_cache_type'</span><span class="p">]</span><span class="o">.</span><span class="n">name</span><span class="p">)</span>
|
||
<span class="n">output</span><span class="p">[</span><span class="s1">'plugin_config'</span><span class="p">]</span> <span class="o">=</span> <span class="n">output</span><span class="p">[</span><span class="s1">'plugin_config'</span><span class="p">]</span><span class="o">.</span><span class="n">to_dict</span><span class="p">()</span>
|
||
<span class="n">output</span><span class="p">[</span><span class="s1">'lora_config'</span><span class="p">]</span> <span class="o">=</span> <span class="n">output</span><span class="p">[</span><span class="s1">'lora_config'</span><span class="p">]</span><span class="o">.</span><span class="n">to_dict</span><span class="p">()</span>
|
||
<span class="n">output</span><span class="p">[</span><span class="s1">'auto_parallel_config'</span><span class="p">]</span> <span class="o">=</span> <span class="n">output</span><span class="p">[</span><span class="s1">'auto_parallel_config'</span><span class="p">]</span><span class="o">.</span><span class="n">to_dict</span><span class="p">(</span>
|
||
<span class="p">)</span>
|
||
<span class="k">return</span> <span class="n">output</span></div>
|
||
|
||
|
||
<div class="viewcode-block" id="BuildConfig.update_from_dict">
|
||
<a class="viewcode-back" href="../../llm-api/reference.html#tensorrt_llm.llmapi.BuildConfig.update_from_dict">[docs]</a>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">update_from_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">config</span><span class="p">:</span> <span class="nb">dict</span><span class="p">):</span>
|
||
<span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">config</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="k">if</span> <span class="ow">not</span> <span class="nb">hasattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">):</span>
|
||
<span class="k">raise</span> <span class="ne">AttributeError</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="vm">__class__</span><span class="si">}</span><span class="s2"> object has no attribute </span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
|
||
<span class="nb">setattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">value</span><span class="p">)</span></div>
|
||
|
||
|
||
<div class="viewcode-block" id="BuildConfig.update">
|
||
<a class="viewcode-back" href="../../llm-api/reference.html#tensorrt_llm.llmapi.BuildConfig.update">[docs]</a>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">update</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">update_from_dict</span><span class="p">(</span><span class="n">kwargs</span><span class="p">)</span></div>
|
||
</div>
|
||
|
||
|
||
|
||
<span class="k">class</span><span class="w"> </span><span class="nc">EngineConfig</span><span class="p">:</span>
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">pretrained_config</span><span class="p">:</span> <span class="s1">'PretrainedConfig'</span><span class="p">,</span>
|
||
<span class="n">build_config</span><span class="p">:</span> <span class="s1">'BuildConfig'</span><span class="p">,</span> <span class="n">version</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">pretrained_config</span> <span class="o">=</span> <span class="n">pretrained_config</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">build_config</span> <span class="o">=</span> <span class="n">build_config</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">version</span> <span class="o">=</span> <span class="n">version</span>
|
||
|
||
<span class="nd">@classmethod</span>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">from_json_file</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">config_file</span><span class="p">):</span>
|
||
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">config_file</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
|
||
<span class="k">return</span> <span class="bp">cls</span><span class="o">.</span><span class="n">from_json_str</span><span class="p">(</span><span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">())</span>
|
||
|
||
<span class="nd">@classmethod</span>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">from_json_str</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">config_str</span><span class="p">):</span>
|
||
<span class="n">config</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">config_str</span><span class="p">)</span>
|
||
<span class="k">return</span> <span class="bp">cls</span><span class="p">(</span><span class="n">PretrainedConfig</span><span class="o">.</span><span class="n">from_dict</span><span class="p">(</span><span class="n">config</span><span class="p">[</span><span class="s1">'pretrained_config'</span><span class="p">]),</span>
|
||
<span class="n">BuildConfig</span><span class="o">.</span><span class="n">from_dict</span><span class="p">(</span><span class="n">config</span><span class="p">[</span><span class="s1">'build_config'</span><span class="p">]),</span>
|
||
<span class="n">config</span><span class="p">[</span><span class="s1">'version'</span><span class="p">])</span>
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">to_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
|
||
<span class="n">build_config</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">build_config</span><span class="o">.</span><span class="n">to_dict</span><span class="p">()</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'dry_run'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span> <span class="c1"># Not an Engine Characteristic</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'visualize_network'</span><span class="p">,</span>
|
||
<span class="kc">None</span><span class="p">)</span> <span class="c1"># Not an Engine Characteristic</span>
|
||
<span class="k">return</span> <span class="p">{</span>
|
||
<span class="s1">'version'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">version</span><span class="p">,</span>
|
||
<span class="s1">'pretrained_config'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">pretrained_config</span><span class="o">.</span><span class="n">to_dict</span><span class="p">(),</span>
|
||
<span class="s1">'build_config'</span><span class="p">:</span> <span class="n">build_config</span><span class="p">,</span>
|
||
<span class="p">}</span>
|
||
|
||
|
||
<span class="k">class</span><span class="w"> </span><span class="nc">Engine</span><span class="p">:</span>
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span>
|
||
<span class="bp">self</span><span class="p">,</span>
|
||
<span class="n">config</span><span class="p">:</span> <span class="n">EngineConfig</span><span class="p">,</span>
|
||
<span class="n">engine</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">trt</span><span class="o">.</span><span class="n">IHostMemory</span><span class="p">,</span> <span class="kc">None</span><span class="p">],</span>
|
||
<span class="n">managed_weights</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">]</span> <span class="o">=</span> <span class="p">{},</span>
|
||
<span class="p">):</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">config</span> <span class="o">=</span> <span class="n">config</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">engine</span> <span class="o">=</span> <span class="n">engine</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">managed_weights</span> <span class="o">=</span> <span class="n">managed_weights</span>
|
||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">managed_weights</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">managed_weights</span> <span class="o">=</span> <span class="p">{}</span>
|
||
<span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">managed_weights</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="k">if</span> <span class="ow">not</span> <span class="n">value</span><span class="o">.</span><span class="n">flags</span><span class="p">[</span><span class="s1">'C_CONTIGUOUS'</span><span class="p">]:</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">managed_weights</span><span class="p">[</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ascontiguousarray</span><span class="p">(</span><span class="n">value</span><span class="p">)</span>
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">save</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">engine_dir</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span>
|
||
<span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">engine_dir</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
||
<span class="n">lora_config</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">build_config</span><span class="o">.</span><span class="n">lora_config</span>
|
||
<span class="n">lora_dirs</span> <span class="o">=</span> <span class="n">lora_config</span><span class="o">.</span><span class="n">lora_dir</span>
|
||
<span class="n">root_lora_dir</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">engine_dir</span><span class="p">,</span> <span class="s1">'lora'</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">lora_dirs</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">root_lora_dir</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
||
<span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">lora_dir</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">lora_dirs</span><span class="p">):</span>
|
||
<span class="k">if</span> <span class="n">lora_config</span><span class="o">.</span><span class="n">lora_ckpt_source</span> <span class="o">==</span> <span class="s1">'hf'</span><span class="p">:</span>
|
||
<span class="n">target_lora_dir</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">root_lora_dir</span><span class="si">}</span><span class="s2">/</span><span class="si">{</span><span class="n">index</span><span class="si">}</span><span class="s2">"</span>
|
||
<span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="n">target_lora_dir</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
||
<span class="n">shutil</span><span class="o">.</span><span class="n">copy2</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">lora_dir</span><span class="p">,</span> <span class="s1">'adapter_config.json'</span><span class="p">),</span>
|
||
<span class="n">target_lora_dir</span><span class="p">)</span>
|
||
<span class="n">weight_file</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">lora_dir</span><span class="p">,</span> <span class="s1">'adapter_model.bin'</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">weight_file</span><span class="p">):</span>
|
||
<span class="n">shutil</span><span class="o">.</span><span class="n">copy2</span><span class="p">(</span><span class="n">weight_file</span><span class="p">,</span> <span class="n">target_lora_dir</span><span class="p">)</span>
|
||
<span class="n">weight_file</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">lora_dir</span><span class="p">,</span>
|
||
<span class="s1">'adapter_model.safetensors'</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">weight_file</span><span class="p">):</span>
|
||
<span class="n">shutil</span><span class="o">.</span><span class="n">copy2</span><span class="p">(</span><span class="n">weight_file</span><span class="p">,</span> <span class="n">target_lora_dir</span><span class="p">)</span>
|
||
<span class="n">lora_config</span><span class="o">.</span><span class="n">lora_dir</span><span class="p">[</span><span class="n">index</span><span class="p">]</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"lora/</span><span class="si">{</span><span class="n">index</span><span class="si">}</span><span class="s2">"</span>
|
||
<span class="k">elif</span> <span class="n">lora_config</span><span class="o">.</span><span class="n">lora_ckpt_source</span> <span class="o">==</span> <span class="s1">'nemo'</span><span class="p">:</span>
|
||
<span class="n">target_lora_file</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">root_lora_dir</span><span class="si">}</span><span class="s2">/</span><span class="si">{</span><span class="n">index</span><span class="si">}</span><span class="s2">.nemo"</span>
|
||
<span class="n">shutil</span><span class="o">.</span><span class="n">copyfile</span><span class="p">(</span><span class="n">lora_dir</span><span class="p">,</span> <span class="n">target_lora_file</span><span class="p">)</span>
|
||
<span class="n">lora_config</span><span class="o">.</span><span class="n">lora_dir</span><span class="p">[</span><span class="n">index</span><span class="p">]</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">"lora/</span><span class="si">{</span><span class="n">index</span><span class="si">}</span><span class="s2">.nemo"</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">root_lora_dir</span><span class="p">)</span> <span class="ow">and</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isdir</span><span class="p">(</span><span class="n">root_lora_dir</span><span class="p">):</span>
|
||
<span class="n">shutil</span><span class="o">.</span><span class="n">rmtree</span><span class="p">(</span><span class="n">root_lora_dir</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">pretrained_config</span><span class="o">.</span><span class="n">mapping</span><span class="o">.</span><span class="n">rank</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="n">config_dict</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">to_dict</span><span class="p">()</span>
|
||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">pretrained_config</span><span class="o">.</span><span class="n">quant_algo</span> <span class="o">==</span> <span class="n">QuantAlgo</span><span class="o">.</span><span class="n">MIXED_PRECISION</span><span class="p">:</span>
|
||
<span class="n">quant_dict</span> <span class="o">=</span> <span class="p">{</span>
|
||
<span class="s1">'version'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">version</span><span class="p">,</span>
|
||
<span class="p">}</span>
|
||
<span class="n">quant_dict</span><span class="o">.</span><span class="n">update</span><span class="p">(</span>
|
||
<span class="n">config_dict</span><span class="p">[</span><span class="s1">'pretrained_config'</span><span class="p">][</span><span class="s1">'quantization'</span><span class="p">])</span>
|
||
<span class="n">config_dict</span><span class="p">[</span><span class="s1">'pretrained_config'</span><span class="p">][</span><span class="s1">'quantization'</span><span class="p">]</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span>
|
||
<span class="s1">'quantized_layers'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">engine_dir</span><span class="p">,</span> <span class="s1">'quant_cfg.json'</span><span class="p">),</span>
|
||
<span class="s2">"w"</span><span class="p">,</span>
|
||
<span class="n">encoding</span><span class="o">=</span><span class="s2">"utf-8"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
|
||
<span class="n">json</span><span class="o">.</span><span class="n">dump</span><span class="p">(</span><span class="n">quant_dict</span><span class="p">,</span> <span class="n">f</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="bp">cls</span><span class="o">=</span><span class="n">ConfigEncoder</span><span class="p">)</span>
|
||
|
||
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">engine_dir</span><span class="p">,</span> <span class="s1">'config.json'</span><span class="p">),</span>
|
||
<span class="s2">"w"</span><span class="p">,</span>
|
||
<span class="n">encoding</span><span class="o">=</span><span class="s2">"utf-8"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
|
||
<span class="n">json</span><span class="o">.</span><span class="n">dump</span><span class="p">(</span><span class="n">config_dict</span><span class="p">,</span> <span class="n">f</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="bp">cls</span><span class="o">=</span><span class="n">ConfigEncoder</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">engine</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">serialize_engine</span><span class="p">(</span>
|
||
<span class="bp">self</span><span class="o">.</span><span class="n">engine</span><span class="p">,</span>
|
||
<span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
|
||
<span class="n">engine_dir</span><span class="p">,</span>
|
||
<span class="sa">f</span><span class="s1">'rank</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">pretrained_config</span><span class="o">.</span><span class="n">mapping</span><span class="o">.</span><span class="n">rank</span><span class="si">}</span><span class="s1">.engine'</span><span class="p">))</span>
|
||
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">managed_weights</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">managed_weights</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="n">fn</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span>
|
||
<span class="n">engine_dir</span><span class="p">,</span>
|
||
<span class="sa">f</span><span class="s1">'rank</span><span class="si">{</span><span class="bp">self</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">pretrained_config</span><span class="o">.</span><span class="n">mapping</span><span class="o">.</span><span class="n">rank</span><span class="si">}</span><span class="s1">_managed_weights.safetensors'</span>
|
||
<span class="p">)</span>
|
||
<span class="n">serialize_managed_weights</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">managed_weights</span><span class="p">,</span> <span class="n">fn</span><span class="p">)</span>
|
||
|
||
<span class="nd">@classmethod</span>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">from_dir</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">engine_dir</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span> <span class="n">rank</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">):</span>
|
||
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">engine_dir</span><span class="p">,</span> <span class="sa">f</span><span class="s1">'rank</span><span class="si">{</span><span class="n">rank</span><span class="si">}</span><span class="s1">.engine'</span><span class="p">),</span> <span class="s1">'rb'</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
|
||
<span class="n">engine_buffer</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">()</span>
|
||
|
||
<span class="n">mw_path</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">engine_dir</span><span class="p">,</span>
|
||
<span class="sa">f</span><span class="s1">'rank</span><span class="si">{</span><span class="n">rank</span><span class="si">}</span><span class="s1">_managed_weights.safetensors'</span><span class="p">)</span>
|
||
<span class="n">managed_weights</span> <span class="o">=</span> <span class="n">deserialize_managed_weights</span><span class="p">(</span>
|
||
<span class="n">mw_path</span><span class="p">)</span> <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="n">mw_path</span><span class="p">)</span> <span class="k">else</span> <span class="kc">None</span>
|
||
|
||
<span class="n">config</span> <span class="o">=</span> <span class="n">EngineConfig</span><span class="o">.</span><span class="n">from_json_file</span><span class="p">(</span>
|
||
<span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">engine_dir</span><span class="p">,</span> <span class="s1">'config.json'</span><span class="p">))</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">pretrained_config</span><span class="o">.</span><span class="n">set_rank</span><span class="p">(</span><span class="n">rank</span><span class="p">)</span>
|
||
|
||
<span class="k">return</span> <span class="bp">cls</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="n">engine_buffer</span><span class="p">,</span> <span class="n">managed_weights</span><span class="p">)</span>
|
||
|
||
<span class="nd">@classmethod</span>
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">from_buffer</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span>
|
||
<span class="n">engine_buffer</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">trt</span><span class="o">.</span><span class="n">IHostMemory</span><span class="p">,</span> <span class="nb">bytes</span><span class="p">],</span>
|
||
<span class="n">json_config_str</span><span class="p">:</span> <span class="nb">str</span><span class="p">,</span>
|
||
<span class="n">rank</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">):</span>
|
||
<span class="n">config</span> <span class="o">=</span> <span class="n">EngineConfig</span><span class="o">.</span><span class="n">from_json_str</span><span class="p">(</span><span class="n">json_config_str</span><span class="p">)</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">pretrained_config</span><span class="o">.</span><span class="n">set_rank</span><span class="p">(</span><span class="n">rank</span><span class="p">)</span>
|
||
<span class="k">return</span> <span class="bp">cls</span><span class="p">(</span><span class="n">config</span><span class="p">,</span> <span class="n">engine_buffer</span><span class="p">)</span>
|
||
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">get_engine_version</span><span class="p">(</span><span class="n">engine_dir</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="n">Union</span><span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="nb">str</span><span class="p">]:</span>
|
||
<span class="n">engine_dir</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="n">engine_dir</span><span class="p">)</span>
|
||
<span class="n">config_path</span> <span class="o">=</span> <span class="n">engine_dir</span> <span class="o">/</span> <span class="s2">"config.json"</span>
|
||
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">config_path</span><span class="p">,</span> <span class="s1">'r'</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
|
||
<span class="n">config</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">f</span><span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="s1">'version'</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">config</span><span class="p">:</span>
|
||
<span class="k">return</span> <span class="kc">None</span>
|
||
|
||
<span class="k">return</span> <span class="n">config</span><span class="p">[</span><span class="s1">'version'</span><span class="p">]</span>
|
||
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">optimize_model_with_config</span><span class="p">(</span><span class="n">model</span><span class="p">:</span> <span class="n">PretrainedModel</span><span class="p">,</span>
|
||
<span class="n">build_config</span><span class="p">:</span> <span class="n">BuildConfig</span><span class="p">):</span>
|
||
<span class="n">use_auto_parallel</span> <span class="o">=</span> <span class="n">build_config</span><span class="o">.</span><span class="n">auto_parallel_config</span><span class="o">.</span><span class="n">enabled</span>
|
||
<span class="n">gemm_swiglu_plugin</span> <span class="o">=</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">gemm_swiglu_plugin</span>
|
||
<span class="n">low_latency_gemm_swiglu_plugin</span> <span class="o">=</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">low_latency_gemm_swiglu_plugin</span>
|
||
<span class="k">if</span> <span class="n">gemm_swiglu_plugin</span> <span class="ow">or</span> <span class="n">low_latency_gemm_swiglu_plugin</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="ow">not</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_fused_mlp</span><span class="p">:</span>
|
||
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
|
||
<span class="s2">"GemmSwiGLU plugin requires --use_fused_mlp flag"</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">gemm_swiglu_plugin</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span>
|
||
<span class="s2">"fp8"</span>
|
||
<span class="p">]</span> <span class="ow">and</span> <span class="n">low_latency_gemm_swiglu_plugin</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"fp8"</span><span class="p">]:</span>
|
||
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s2">"GemmSwiGLU plugin currently has limited support: fp8 only, "</span>
|
||
<span class="sa">f</span><span class="s2">"got: </span><span class="si">{</span><span class="n">gemm_swiglu_plugin</span><span class="si">}</span><span class="s2">"</span>
|
||
<span class="sa">f</span><span class="s2">"got: </span><span class="si">{</span><span class="n">low_latency_gemm_swiglu_plugin</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">lora_plugin</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">model</span><span class="o">.</span><span class="n">use_lora</span><span class="p">(</span><span class="n">build_config</span><span class="o">.</span><span class="n">lora_config</span><span class="p">)</span>
|
||
|
||
<span class="n">is_enc_dec</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">architecture</span> <span class="ow">in</span> <span class="p">[</span><span class="s2">"EncoderModel"</span><span class="p">,</span> <span class="s2">"DecoderModel"</span><span class="p">]</span>
|
||
<span class="c1"># FusedMLP does not support RecurrentGemma FP8 currently.</span>
|
||
<span class="n">is_recurrent_gemma</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">architecture</span> <span class="ow">in</span> <span class="p">[</span>
|
||
<span class="s2">"RecurrentGemmaForCausalLM"</span>
|
||
<span class="p">]</span>
|
||
<span class="n">is_fp8</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quantization</span><span class="o">.</span><span class="n">quant_algo</span> <span class="o">==</span> <span class="n">QuantAlgo</span><span class="o">.</span><span class="n">FP8</span>
|
||
<span class="n">model</span> <span class="o">=</span> <span class="n">optimize_model</span><span class="p">(</span>
|
||
<span class="n">model</span><span class="p">,</span>
|
||
<span class="n">share_embedding_table</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
|
||
<span class="n">use_ootb_moe</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">moe_plugin</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">,</span>
|
||
<span class="n">use_fused_mlp</span><span class="o">=</span><span class="p">(</span><span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_fused_mlp</span>
|
||
<span class="ow">and</span> <span class="ow">not</span> <span class="n">is_enc_dec</span>
|
||
<span class="ow">and</span> <span class="ow">not</span> <span class="p">(</span><span class="n">is_recurrent_gemma</span> <span class="ow">and</span> <span class="n">is_fp8</span><span class="p">)</span>
|
||
<span class="ow">and</span> <span class="ow">not</span> <span class="n">use_auto_parallel</span><span class="p">),</span>
|
||
<span class="n">gemm_swiglu_plugin_dtype</span><span class="o">=</span><span class="n">gemm_swiglu_plugin</span><span class="p">,</span>
|
||
<span class="n">low_latency_gemm_swiglu_plugin_dtype</span><span class="o">=</span><span class="n">low_latency_gemm_swiglu_plugin</span><span class="p">,</span>
|
||
<span class="n">use_fused_rg_lru</span><span class="o">=</span><span class="n">is_recurrent_gemma</span><span class="p">,</span>
|
||
<span class="n">use_unfused_qkv_gemm</span><span class="o">=</span><span class="n">use_auto_parallel</span><span class="p">,</span>
|
||
<span class="n">use_prompt_tuning</span><span class="o">=</span><span class="p">(</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_prompt_embedding_table_size</span> <span class="o">></span> <span class="mi">0</span><span class="p">),</span>
|
||
<span class="n">use_lora</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">lora_plugin</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">,</span>
|
||
<span class="n">max_lora_rank</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">lora_config</span><span class="o">.</span><span class="n">max_lora_rank</span><span class="p">,</span>
|
||
<span class="n">use_fp8_context_fmha</span><span class="o">=</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quantization</span><span class="o">.</span><span class="n">quant_algo</span> <span class="ow">in</span> <span class="p">[</span>
|
||
<span class="n">QuantAlgo</span><span class="o">.</span><span class="n">FP8</span><span class="p">,</span> <span class="n">QuantAlgo</span><span class="o">.</span><span class="n">W4A8_AWQ</span><span class="p">,</span> <span class="n">QuantAlgo</span><span class="o">.</span><span class="n">NVFP4</span>
|
||
<span class="p">]</span> <span class="ow">and</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_fp8_context_fmha</span><span class="p">),</span>
|
||
<span class="n">fuse_fp4_quant</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">fuse_fp4_quant</span><span class="p">,</span>
|
||
<span class="n">use_optimize_cross_qkv</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
|
||
<span class="n">use_dora</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">dora_plugin</span><span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="n">is_enc_dec</span><span class="p">:</span>
|
||
<span class="n">model</span><span class="o">.</span><span class="n">precompute_relative_attention_bias</span><span class="p">(</span><span class="n">build_config</span><span class="p">)</span>
|
||
<span class="k">return</span> <span class="n">model</span>
|
||
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">_init_max_seq_len</span><span class="p">(</span><span class="n">model_config</span><span class="p">,</span> <span class="n">build_config</span><span class="p">):</span>
|
||
<span class="w"> </span><span class="sd">"""</span>
|
||
<span class="sd"> If max_seq_len is not specified, set it to max_position_embeddings * rotary_factor</span>
|
||
<span class="sd"> Additional checks to ensure max_seq_len, max_input_len, and max_num_tokens have valid values.</span>
|
||
<span class="sd"> """</span>
|
||
<span class="c1"># Extract rotary scaling which will be used for checks and default value of max_seq_len</span>
|
||
<span class="n">rotary_scaling</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">model_config</span><span class="p">,</span> <span class="s2">"rotary_scaling"</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">rotary_scaling</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">rotary_type</span> <span class="o">=</span> <span class="n">rotary_scaling</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'type'</span><span class="p">,</span>
|
||
<span class="n">rotary_scaling</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s1">'rope_type'</span><span class="p">))</span>
|
||
<span class="n">rotary_factor</span> <span class="o">=</span> <span class="n">rotary_scaling</span><span class="o">.</span><span class="n">get</span><span class="p">(</span>
|
||
<span class="s1">'factor'</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span> <span class="k">if</span> <span class="n">rotary_type</span> <span class="ow">not</span> <span class="ow">in</span> <span class="p">(</span><span class="s2">"su"</span><span class="p">,</span> <span class="s2">"longrope"</span><span class="p">,</span>
|
||
<span class="s2">"llama3"</span><span class="p">)</span> <span class="k">else</span> <span class="mi">1</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="n">rotary_factor</span> <span class="o">=</span> <span class="mi">1</span>
|
||
|
||
<span class="k">if</span> <span class="n">model_config</span><span class="o">.</span><span class="n">architecture</span> <span class="o">==</span> <span class="s2">"EncoderModel"</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span> <span class="o">=</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_input_len</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s1">'max_seq_len is not specified for EncoderModel, using --max_input_len.'</span>
|
||
<span class="p">)</span>
|
||
<span class="k">assert</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_input_len</span> <span class="o">==</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span><span class="p">,</span> <span class="sa">f</span><span class="s2">"EncoderModel should have same --max_input_len (</span><span class="si">{</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_input_len</span><span class="si">}</span><span class="s2">) and --max_seq_len (</span><span class="si">{</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span><span class="si">}</span><span class="s2">)."</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="c1"># Step 1: Find the upper bound of max_seq_len</span>
|
||
<span class="n">deduced_max_seq_len</span> <span class="o">=</span> <span class="mi">2048</span>
|
||
<span class="k">if</span> <span class="n">model_config</span><span class="o">.</span><span class="n">max_position_embeddings</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">deduced_max_seq_len</span> <span class="o">=</span> <span class="n">model_config</span><span class="o">.</span><span class="n">max_position_embeddings</span>
|
||
|
||
<span class="c1"># Step 2: Scale max_seq_len with rotary scaling</span>
|
||
<span class="k">if</span> <span class="n">rotary_factor</span> <span class="o">!=</span> <span class="mi">1</span><span class="p">:</span>
|
||
<span class="n">deduced_max_seq_len</span> <span class="o">=</span> <span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">deduced_max_seq_len</span> <span class="o">*</span> <span class="n">rotary_factor</span><span class="p">)</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s1">'max_seq_len is scaled to </span><span class="si">{</span><span class="n">deduced_max_seq_len</span><span class="si">}</span><span class="s1"> by rotary scaling </span><span class="si">{</span><span class="n">rotary_factor</span><span class="si">}</span><span class="s1">'</span>
|
||
<span class="p">)</span>
|
||
|
||
<span class="c1"># Step 3: Assign the new max_seq_len</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">deduced_max_seq_len</span><span class="p">)</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s1">'max_seq_len is not specified, using deduced value </span><span class="si">{</span><span class="n">deduced_max_seq_len</span><span class="si">}</span><span class="s1">'</span>
|
||
<span class="p">)</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="ow">not</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">streamingllm</span> <span class="ow">and</span> <span class="n">model_config</span><span class="o">.</span><span class="n">max_position_embeddings</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> \
|
||
<span class="ow">and</span> <span class="n">model_config</span><span class="o">.</span><span class="n">position_embedding_type</span> <span class="o">!=</span> <span class="n">PositionEmbeddingType</span><span class="o">.</span><span class="n">relative</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span> <span class="o">></span> <span class="n">model_config</span><span class="o">.</span><span class="n">max_position_embeddings</span> <span class="o">*</span> <span class="n">rotary_factor</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s1">'max_seq_len </span><span class="si">{</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span><span class="si">}</span><span class="s1"> is larger than max_position_embeddings </span><span class="si">{</span><span class="n">model_config</span><span class="o">.</span><span class="n">max_position_embeddings</span><span class="si">}</span><span class="s1"> * rotary scaling </span><span class="si">{</span><span class="n">rotary_factor</span><span class="si">}</span><span class="s1">, '</span>
|
||
<span class="s1">'the model accuracy might be affected'</span><span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_input_len</span> <span class="o">></span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s1">'max_input_len is </span><span class="si">{</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_input_len</span><span class="si">}</span><span class="s1"> is larger than max_seq_len </span><span class="si">{</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span><span class="si">}</span><span class="s1">, clipping it to max_seq_len'</span>
|
||
<span class="p">)</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_input_len</span> <span class="o">=</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span>
|
||
|
||
<span class="c1"># Check and may modify max_num_tokens and opt_num_tokens (need to happen after max_seq_len is deduced)</span>
|
||
<span class="n">max_num_tokens</span><span class="p">,</span> <span class="n">opt_num_tokens</span> <span class="o">=</span> <span class="n">check_max_num_tokens</span><span class="p">(</span>
|
||
<span class="n">max_num_tokens</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_num_tokens</span><span class="p">,</span>
|
||
<span class="n">opt_num_tokens</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">opt_num_tokens</span><span class="p">,</span>
|
||
<span class="n">max_batch_size</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_batch_size</span><span class="p">,</span>
|
||
<span class="n">max_input_len</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_input_len</span><span class="p">,</span>
|
||
<span class="n">max_seq_len</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span><span class="p">,</span>
|
||
<span class="n">max_beam_width</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_beam_width</span><span class="p">,</span>
|
||
<span class="n">remove_input_padding</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">remove_input_padding</span><span class="p">,</span>
|
||
<span class="n">enable_context_fmha</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">context_fmha</span><span class="p">,</span>
|
||
<span class="n">tokens_per_block</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">tokens_per_block</span><span class="p">,</span>
|
||
<span class="n">multiple_profiles</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">multiple_profiles</span><span class="p">,</span>
|
||
<span class="p">)</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_num_tokens</span><span class="p">,</span> <span class="n">build_config</span><span class="o">.</span><span class="n">opt_num_tokens</span> <span class="o">=</span> <span class="n">max_num_tokens</span><span class="p">,</span> <span class="n">opt_num_tokens</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">remove_input_padding</span> <span class="ow">and</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">context_fmha</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_input_len</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="s1">'padding removal and fMHA are both enabled, max_input_len is not required and will be ignored'</span>
|
||
<span class="p">)</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="k">assert</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_input_len</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">,</span> <span class="s1">'padding removal and fMHA aren</span><span class="se">\'</span><span class="s1">t both enabled, max_input_len is required'</span>
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span><span class="p">:</span>
|
||
<span class="k">assert</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_input_len</span> <span class="o"><=</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span><span class="p">,</span> <span class="s1">'max_input_len should not be larger than max_seq_len'</span>
|
||
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">serialize_managed_weights</span><span class="p">(</span><span class="n">managed_weights</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">],</span>
|
||
<span class="n">path</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="n">Path</span><span class="p">,</span>
|
||
<span class="n">metadata</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">header</span> <span class="o">=</span> <span class="p">{}</span>
|
||
<span class="k">if</span> <span class="n">metadata</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="n">header</span><span class="p">[</span><span class="s2">"__metadata__"</span><span class="p">]</span> <span class="o">=</span> <span class="n">metadata</span>
|
||
<span class="n">begin</span> <span class="o">=</span> <span class="mi">0</span>
|
||
<span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">managed_weights</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="n">size</span> <span class="o">=</span> <span class="n">value</span><span class="o">.</span><span class="n">size</span> <span class="o">*</span> <span class="n">value</span><span class="o">.</span><span class="n">itemsize</span>
|
||
<span class="k">if</span> <span class="n">value</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">:</span>
|
||
<span class="n">dtype</span> <span class="o">=</span> <span class="s2">"F32"</span>
|
||
<span class="k">elif</span> <span class="n">value</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">np</span><span class="o">.</span><span class="n">float16</span><span class="p">:</span>
|
||
<span class="n">dtype</span> <span class="o">=</span> <span class="s2">"F16"</span>
|
||
<span class="k">elif</span> <span class="n">value</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">np_bfloat16</span><span class="p">:</span>
|
||
<span class="n">dtype</span> <span class="o">=</span> <span class="s2">"BF16"</span>
|
||
<span class="k">elif</span> <span class="n">value</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">np_float8</span><span class="p">:</span>
|
||
<span class="n">dtype</span> <span class="o">=</span> <span class="s2">"F8_E4M3"</span>
|
||
<span class="k">elif</span> <span class="n">value</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">np</span><span class="o">.</span><span class="n">int64</span><span class="p">:</span>
|
||
<span class="n">dtype</span> <span class="o">=</span> <span class="s2">"I64"</span>
|
||
<span class="k">elif</span> <span class="n">value</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">np</span><span class="o">.</span><span class="n">int32</span><span class="p">:</span>
|
||
<span class="n">dtype</span> <span class="o">=</span> <span class="s2">"I32"</span>
|
||
<span class="k">elif</span> <span class="n">value</span><span class="o">.</span><span class="n">dtype</span> <span class="o">==</span> <span class="n">np</span><span class="o">.</span><span class="n">int8</span><span class="p">:</span>
|
||
<span class="n">dtype</span> <span class="o">=</span> <span class="s2">"I8"</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Unsupported dtype: </span><span class="si">{</span><span class="n">value</span><span class="o">.</span><span class="n">dtype</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
|
||
<span class="n">header</span><span class="p">[</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
|
||
<span class="s2">"dtype"</span><span class="p">:</span> <span class="n">dtype</span><span class="p">,</span>
|
||
<span class="s2">"shape"</span><span class="p">:</span> <span class="n">value</span><span class="o">.</span><span class="n">shape</span><span class="p">,</span>
|
||
<span class="s2">"data_offsets"</span><span class="p">:</span> <span class="p">[</span><span class="n">begin</span><span class="p">,</span> <span class="n">begin</span> <span class="o">+</span> <span class="n">size</span><span class="p">],</span>
|
||
<span class="p">}</span>
|
||
<span class="n">begin</span> <span class="o">+=</span> <span class="n">size</span>
|
||
|
||
<span class="n">header_json</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">header</span><span class="p">)</span>
|
||
<span class="n">header_json_len</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">header_json</span><span class="p">)</span>
|
||
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="s2">"wb"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s2">"Serializing </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">managed_weights</span><span class="p">)</span><span class="si">}</span><span class="s2"> managed weights to </span><span class="si">{</span><span class="n">path</span><span class="si">}</span><span class="s2">..."</span><span class="p">)</span>
|
||
<span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">header_json_len</span><span class="o">.</span><span class="n">to_bytes</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="n">byteorder</span><span class="o">=</span><span class="s2">"little"</span><span class="p">))</span>
|
||
<span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">header_json</span><span class="o">.</span><span class="n">encode</span><span class="p">())</span>
|
||
<span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">value</span> <span class="ow">in</span> <span class="n">managed_weights</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">debug</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Serializing managed weight: </span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
|
||
<span class="n">buf</span> <span class="o">=</span> <span class="n">value</span><span class="o">.</span><span class="n">data</span>
|
||
<span class="n">f</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">buf</span><span class="p">)</span>
|
||
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">deserialize_managed_weights</span><span class="p">(</span><span class="n">path</span><span class="p">:</span> <span class="nb">str</span> <span class="o">|</span> <span class="n">Path</span><span class="p">)</span> <span class="o">-></span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">]:</span>
|
||
<span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="s2">"rb"</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
|
||
<span class="n">header_json_len</span> <span class="o">=</span> <span class="nb">int</span><span class="o">.</span><span class="n">from_bytes</span><span class="p">(</span><span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="mi">8</span><span class="p">),</span> <span class="n">byteorder</span><span class="o">=</span><span class="s2">"little"</span><span class="p">)</span>
|
||
<span class="n">header_json</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="n">header_json_len</span><span class="p">)</span><span class="o">.</span><span class="n">decode</span><span class="p">()</span>
|
||
<span class="n">header</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">header_json</span><span class="p">)</span>
|
||
|
||
<span class="n">managed_weights</span> <span class="o">=</span> <span class="p">{}</span>
|
||
<span class="k">for</span> <span class="n">name</span><span class="p">,</span> <span class="n">info</span> <span class="ow">in</span> <span class="n">header</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
|
||
<span class="n">dtype</span> <span class="o">=</span> <span class="n">info</span><span class="p">[</span><span class="s2">"dtype"</span><span class="p">]</span>
|
||
<span class="n">shape</span> <span class="o">=</span> <span class="n">info</span><span class="p">[</span><span class="s2">"shape"</span><span class="p">]</span>
|
||
<span class="n">data_offsets</span> <span class="o">=</span> <span class="n">info</span><span class="p">[</span><span class="s2">"data_offsets"</span><span class="p">]</span>
|
||
<span class="k">if</span> <span class="n">dtype</span> <span class="o">==</span> <span class="s2">"F32"</span><span class="p">:</span>
|
||
<span class="n">dtype</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">float32</span>
|
||
<span class="k">elif</span> <span class="n">dtype</span> <span class="o">==</span> <span class="s2">"F16"</span><span class="p">:</span>
|
||
<span class="n">dtype</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">float16</span>
|
||
<span class="k">elif</span> <span class="n">dtype</span> <span class="o">==</span> <span class="s2">"BF16"</span><span class="p">:</span>
|
||
<span class="n">dtype</span> <span class="o">=</span> <span class="n">np_bfloat16</span>
|
||
<span class="k">elif</span> <span class="n">dtype</span> <span class="o">==</span> <span class="s2">"F8_E4M3"</span><span class="p">:</span>
|
||
<span class="n">dtype</span> <span class="o">=</span> <span class="n">np_float8</span>
|
||
<span class="k">elif</span> <span class="n">dtype</span> <span class="o">==</span> <span class="s2">"I64"</span><span class="p">:</span>
|
||
<span class="n">dtype</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">int64</span>
|
||
<span class="k">elif</span> <span class="n">dtype</span> <span class="o">==</span> <span class="s2">"I32"</span><span class="p">:</span>
|
||
<span class="n">dtype</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">int32</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Unsupported dtype: </span><span class="si">{</span><span class="n">dtype</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
|
||
|
||
<span class="n">f</span><span class="o">.</span><span class="n">seek</span><span class="p">(</span><span class="n">data_offsets</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="n">header_json_len</span> <span class="o">+</span> <span class="mi">8</span><span class="p">)</span>
|
||
<span class="n">buf</span> <span class="o">=</span> <span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="n">data_offsets</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">data_offsets</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
|
||
<span class="n">value</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">frombuffer</span><span class="p">(</span><span class="n">buf</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">dtype</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">shape</span><span class="p">)</span>
|
||
<span class="n">managed_weights</span><span class="p">[</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="n">value</span>
|
||
|
||
<span class="k">return</span> <span class="n">managed_weights</span>
|
||
|
||
|
||
<span class="k">def</span><span class="w"> </span><span class="nf">build</span><span class="p">(</span><span class="n">model</span><span class="p">:</span> <span class="n">PretrainedModel</span><span class="p">,</span> <span class="n">build_config</span><span class="p">:</span> <span class="n">BuildConfig</span><span class="p">)</span> <span class="o">-></span> <span class="n">Engine</span><span class="p">:</span>
|
||
<span class="w"> </span><span class="sd">'''Build engine from given model and optimization options specified in the build_config</span>
|
||
<span class="sd"> WARNING: this function may change the given model object state in some optimization passes</span>
|
||
<span class="sd"> to avoid cloning a model since normally the LLM models consumes large memory.</span>
|
||
<span class="sd"> Create a new fresh model object if you need to build with different options.</span>
|
||
<span class="sd"> '''</span>
|
||
<span class="n">tic</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
|
||
<span class="c1"># avoid changing the input config</span>
|
||
<span class="n">build_config</span> <span class="o">=</span> <span class="n">copy</span><span class="o">.</span><span class="n">deepcopy</span><span class="p">(</span><span class="n">build_config</span><span class="p">)</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">dtype</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">update_kv_cache_type</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">architecture</span><span class="p">)</span>
|
||
|
||
<span class="n">_init_max_seq_len</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="p">,</span> <span class="n">build_config</span><span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">streamingllm</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_paged_context_fmha</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="s2">"Paged Context FMHA is disabled because StreamingLLM is not supported when enabling paged KV context FMHA."</span>
|
||
<span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">reduce_fusion</span> <span class="ow">and</span> <span class="p">(</span>
|
||
<span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">mapping</span><span class="o">.</span><span class="n">tp_size</span> <span class="o">==</span> <span class="mi">1</span> <span class="ow">or</span>
|
||
<span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">architecture</span> <span class="o">!=</span> <span class="s2">"LlamaForCausalLM"</span>
|
||
<span class="ow">and</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">architecture</span> <span class="o">!=</span> <span class="s2">"Gemma2ForCausalLM"</span>
|
||
<span class="ow">and</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">architecture</span> <span class="o">!=</span> <span class="s2">"MedusaForCausalLM"</span><span class="p">)):</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="s1">'Overriding reduce_fusion to False'</span><span class="p">)</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">reduce_fusion</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">user_buffer</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">reduce_fusion</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="s1">'Overriding user_buffer to False'</span><span class="p">)</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">user_buffer</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">norm_quant_fusion</span> <span class="ow">and</span> <span class="p">(</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">reduce_fusion</span>
|
||
<span class="ow">or</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">architecture</span> <span class="o">!=</span> <span class="s2">"LlamaForCausalLM"</span>
|
||
<span class="ow">or</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quantization</span><span class="o">.</span><span class="n">quant_algo</span> <span class="o">!=</span> <span class="n">QuantAlgo</span><span class="o">.</span><span class="n">NVFP4</span><span class="p">):</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span><span class="s1">'Overriding norm_quant_fusion to False'</span><span class="p">)</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">norm_quant_fusion</span> <span class="o">=</span> <span class="kc">False</span>
|
||
|
||
<span class="k">if</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quantization</span><span class="o">.</span><span class="n">quant_algo</span> <span class="o">==</span> <span class="n">QuantAlgo</span><span class="o">.</span><span class="n">FP8</span> <span class="ow">or</span> \
|
||
<span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quantization</span><span class="o">.</span><span class="n">kv_cache_quant_algo</span> <span class="o">==</span> <span class="n">QuantAlgo</span><span class="o">.</span><span class="n">FP8</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">strongly_typed</span> <span class="o">=</span> <span class="kc">True</span>
|
||
|
||
<span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="p">,</span> <span class="s1">'max_draft_len'</span><span class="p">):</span>
|
||
<span class="c1"># If model.config has 'max_draft_len' but build_config not specified,</span>
|
||
<span class="c1"># use the value of model.config.max_draft_len to set the value of build_config.max_draft_len</span>
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_draft_len</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_draft_len</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">max_draft_len</span>
|
||
|
||
<span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="p">,</span> <span class="s1">'redrafter_num_beams'</span><span class="p">)</span> <span class="ow">and</span> <span class="nb">hasattr</span><span class="p">(</span>
|
||
<span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="p">,</span> <span class="s1">'redrafter_draft_len_per_beam'</span><span class="p">):</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_draft_len</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">redrafter_num_beams</span> <span class="o">*</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">redrafter_draft_len_per_beam</span>
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">speculative_decoding_mode</span> <span class="o">!=</span> <span class="n">SpeculativeDecodingMode</span><span class="o">.</span><span class="n">EXPLICIT_DRAFT_TOKENS</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="s1">'speculative_decoding_mode is not EXPLICIT_DRAFT_TOKENS for ReDrafter model. Overwriting speculative_decoding_mode'</span>
|
||
<span class="p">)</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">speculative_decoding_mode</span> <span class="o">=</span> <span class="n">SpeculativeDecodingMode</span><span class="o">.</span><span class="n">EXPLICIT_DRAFT_TOKENS</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">speculative_decoding_mode</span> <span class="o">!=</span> <span class="n">SpeculativeDecodingMode</span><span class="o">.</span><span class="n">NONE</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s1">'Increasing max_seq_len (</span><span class="si">{</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span><span class="si">}</span><span class="s1">) '</span>
|
||
<span class="sa">f</span><span class="s1">'by max_draft_len (</span><span class="si">{</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_draft_len</span><span class="si">}</span><span class="s1">) '</span>
|
||
<span class="s1">'to account for speculative decoding implementation specifics. '</span>
|
||
<span class="s1">'Maximum number of generated tokens remains the same. '</span>
|
||
<span class="sa">f</span><span class="s1">'New max_seq_len is set to </span><span class="si">{</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">build_config</span><span class="o">.</span><span class="n">max_draft_len</span><span class="si">}</span><span class="s1">'</span>
|
||
<span class="p">)</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span> <span class="o">+=</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_draft_len</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">speculative_decoding_mode</span> <span class="o">==</span> <span class="n">SpeculativeDecodingMode</span><span class="o">.</span><span class="n">EAGLE</span><span class="p">:</span>
|
||
<span class="k">assert</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="p">,</span> <span class="s1">'num_eagle_layers'</span><span class="p">)</span>
|
||
<span class="n">num_eagle_layers</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">num_eagle_layers</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s1">'Increasing max_seq_len (</span><span class="si">{</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span><span class="si">}</span><span class="s1">) '</span>
|
||
<span class="sa">f</span><span class="s1">'by num_eagle_layers (</span><span class="si">{</span><span class="n">num_eagle_layers</span><span class="si">}</span><span class="s1">) '</span>
|
||
<span class="s1">'to account for EAGLE implementation specifics. '</span>
|
||
<span class="s1">'Maximum number of generated tokens remains the same. '</span>
|
||
<span class="sa">f</span><span class="s1">'New max_seq_len is set to </span><span class="si">{</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span><span class="w"> </span><span class="o">+</span><span class="w"> </span><span class="n">num_eagle_layers</span><span class="si">}</span><span class="s1">'</span>
|
||
<span class="p">)</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span> <span class="o">+=</span> <span class="n">num_eagle_layers</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">speculative_decoding_mode</span> <span class="o">!=</span> <span class="n">SpeculativeDecodingMode</span><span class="o">.</span><span class="n">NONE</span><span class="p">:</span>
|
||
<span class="n">num_tokens</span> <span class="o">=</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_batch_size</span> <span class="o">*</span> <span class="p">(</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_draft_len</span> <span class="o">+</span>
|
||
<span class="mi">1</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_num_tokens</span> <span class="o"><</span> <span class="n">num_tokens</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s1">'max_num_tokens (</span><span class="si">{</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_num_tokens</span><span class="si">}</span><span class="s1">) is smaller than '</span>
|
||
<span class="s1">'max_batch_size * (max_draft_len + 1) = '</span>
|
||
<span class="sa">f</span><span class="s1">'(</span><span class="si">{</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_batch_size</span><span class="si">}</span><span class="s1"> * (</span><span class="si">{</span><span class="n">build_config</span><span class="o">.</span><span class="n">max_draft_len</span><span class="si">}</span><span class="s1"> + 1)). '</span>
|
||
<span class="sa">f</span><span class="s1">'New max_num_tokens is set to </span><span class="si">{</span><span class="n">num_tokens</span><span class="si">}</span><span class="s1">.'</span><span class="p">)</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_num_tokens</span> <span class="o">=</span> <span class="n">num_tokens</span>
|
||
|
||
<span class="c1"># Logics to control paged_context_fmha and fp8_context_fmha</span>
|
||
<span class="k">if</span> <span class="ow">not</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">context_fmha</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_fp8_context_fmha</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_paged_context_fmha</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="s2">"Context FMHA is disabled, FP8 Context FMHA and Paged Context FMHA are disabled."</span>
|
||
<span class="p">)</span>
|
||
<span class="k">elif</span> <span class="ow">not</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quantization</span><span class="o">.</span><span class="n">quant_algo</span> <span class="ow">in</span> <span class="p">[</span>
|
||
<span class="n">QuantAlgo</span><span class="o">.</span><span class="n">FP8</span><span class="p">,</span> <span class="n">QuantAlgo</span><span class="o">.</span><span class="n">W4A8_AWQ</span><span class="p">,</span> <span class="n">QuantAlgo</span><span class="o">.</span><span class="n">NVFP4</span>
|
||
<span class="p">]:</span>
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_fp8_context_fmha</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_fp8_context_fmha</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="s2">"FP8 Context FMHA is disabled because it must be used together with the fp8 quantization workflow."</span>
|
||
<span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_paged_context_fmha</span> <span class="ow">and</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_fp8_kv_cache</span><span class="p">(</span>
|
||
<span class="p">):</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_paged_context_fmha</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="s2">"FP8 Paged Context FMHA is disabled because FP8 context FMHA is disabled."</span>
|
||
<span class="p">)</span>
|
||
<span class="k">elif</span> <span class="n">get_sm_version</span><span class="p">()</span> <span class="o"><</span> <span class="mi">89</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_fp8_context_fmha</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="s2">"FP8 context FMHA is disabled because it is only supported on Ada and Hopper Arch."</span>
|
||
<span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_paged_context_fmha</span> <span class="ow">and</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_fp8_kv_cache</span><span class="p">(</span>
|
||
<span class="p">):</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_paged_context_fmha</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="s2">"FP8 Paged Context FMHA is disabled because FP8 context FMHA is disabled."</span>
|
||
<span class="p">)</span>
|
||
<span class="k">elif</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_paged_context_fmha</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="ow">not</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_fp8_kv_cache</span><span class="p">(</span>
|
||
<span class="p">)</span> <span class="ow">and</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_fp8_context_fmha</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_fp8_context_fmha</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="s2">"FP8 Paged Context FMHA is disabled because it must be used together with fp8 KV Cache."</span>
|
||
<span class="p">)</span>
|
||
<span class="k">elif</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_fp8_kv_cache</span><span class="p">(</span>
|
||
<span class="p">)</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_fp8_context_fmha</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_fp8_context_fmha</span> <span class="o">=</span> <span class="kc">True</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="s2">"FP8 Context FMHA is enabled to support FP8 Paged Context FMHA."</span>
|
||
<span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_paged_context_fmha</span> <span class="ow">and</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_int8_kv_cache</span><span class="p">(</span>
|
||
<span class="p">):</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_paged_context_fmha</span> <span class="o">=</span> <span class="kc">False</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="s2">"Paged Context FMHA is disabled because it doesn't work with int8 kv cache currently."</span>
|
||
<span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="n">get_sm_version</span><span class="p">()</span> <span class="o">>=</span> <span class="mi">100</span> <span class="ow">and</span> <span class="n">get_sm_version</span><span class="p">()</span> <span class="o"><</span> <span class="mi">120</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">is_int8_weight_only</span><span class="p">(</span>
|
||
<span class="p">)</span> <span class="ow">or</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">is_int4_weight_only</span><span class="p">(</span>
|
||
<span class="p">)</span> <span class="ow">or</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_int8_kv_cache</span><span class="p">():</span>
|
||
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
|
||
<span class="s2">"INT8/INT4 quantization is not supported on SM>=100."</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_act_and_weight_quant</span><span class="p">():</span>
|
||
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">"SmoothQuant is not supported on SM>=100."</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_per_channel_scaling</span><span class="p">(</span>
|
||
<span class="p">)</span> <span class="ow">or</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_per_token_dynamic_scaling</span><span class="p">():</span>
|
||
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
|
||
<span class="s2">"Per-channel or per-token scaling is not supported on SM>=100."</span><span class="p">)</span>
|
||
|
||
<span class="n">model</span> <span class="o">=</span> <span class="n">optimize_model_with_config</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">build_config</span><span class="p">)</span>
|
||
|
||
<span class="n">builder</span> <span class="o">=</span> <span class="n">Builder</span><span class="p">()</span>
|
||
<span class="n">builder_config</span> <span class="o">=</span> <span class="n">builder</span><span class="o">.</span><span class="n">create_builder_config</span><span class="p">(</span>
|
||
<span class="n">precision</span><span class="o">=</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span>
|
||
<span class="n">use_refit</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">use_refit</span><span class="p">,</span>
|
||
<span class="n">timing_cache</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">input_timing_cache</span><span class="p">,</span>
|
||
<span class="n">int8</span><span class="o">=</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_act_or_weight_quant</span><span class="p">()</span>
|
||
<span class="ow">and</span> <span class="ow">not</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_per_group_scaling</span><span class="p">())</span>
|
||
<span class="ow">or</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_int8_kv_cache</span><span class="p">(),</span>
|
||
<span class="n">strongly_typed</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">strongly_typed</span><span class="p">,</span>
|
||
<span class="n">force_num_profiles</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">force_num_profiles</span><span class="p">,</span>
|
||
<span class="n">profiling_verbosity</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">profiling_verbosity</span><span class="p">,</span>
|
||
<span class="n">quant_mode</span><span class="o">=</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="p">,</span>
|
||
<span class="n">use_strip_plan</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">use_strip_plan</span><span class="p">,</span>
|
||
<span class="n">weight_sparsity</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">weight_sparsity</span><span class="p">,</span>
|
||
<span class="n">weight_streaming</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">weight_streaming</span><span class="p">,</span>
|
||
<span class="n">monitor_memory</span><span class="o">=</span><span class="n">build_config</span><span class="o">.</span><span class="n">monitor_memory</span><span class="p">,</span>
|
||
<span class="p">)</span>
|
||
|
||
<span class="n">network</span> <span class="o">=</span> <span class="n">builder</span><span class="o">.</span><span class="n">create_network</span><span class="p">()</span>
|
||
<span class="n">network</span><span class="o">.</span><span class="n">plugin_config</span> <span class="o">=</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span>
|
||
|
||
<span class="n">use_auto_parallel</span> <span class="o">=</span> <span class="n">build_config</span><span class="o">.</span><span class="n">auto_parallel_config</span><span class="o">.</span><span class="n">enabled</span>
|
||
<span class="n">use_weight_only</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">is_weight_only</span><span class="p">()</span>
|
||
<span class="n">per_group</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_per_group_scaling</span><span class="p">()</span>
|
||
<span class="n">use_smooth_quant</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_act_and_weight_quant</span><span class="p">()</span>
|
||
<span class="n">use_qserve</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">is_qserve_w4a8</span><span class="p">()</span>
|
||
<span class="n">use_fp8_rowwise</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_fp8_rowwise</span><span class="p">()</span>
|
||
<span class="n">disable_weight_only_quant_plugin</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">disable_weight_only_quant_plugin</span> <span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span>
|
||
<span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="p">,</span> <span class="s1">'disable_weight_only_quant_plugin'</span><span class="p">)</span> <span class="k">else</span> <span class="kc">False</span>
|
||
<span class="n">use_fp8_rowwise</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_fp8_rowwise</span><span class="p">()</span>
|
||
<span class="n">use_fp4_gemm</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quant_mode</span><span class="o">.</span><span class="n">has_nvfp4</span><span class="p">()</span>
|
||
<span class="k">if</span> <span class="n">use_fp4_gemm</span> <span class="ow">and</span> <span class="n">network</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">_explicitly_disable_gemm_plugin</span> <span class="ow">is</span> <span class="kc">False</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
|
||
<span class="s1">'NVFP4 quantization detected, by default enabling NVFP4 GEMM plugin. To use OOTB GEMM, please explicitly set gemm_plugin to "disable"'</span>
|
||
<span class="p">)</span>
|
||
<span class="n">network</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">gemm_plugin</span> <span class="o">=</span> <span class="s2">"nvfp4"</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">manage_weights</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="n">use_weight_only</span> <span class="ow">and</span> <span class="n">disable_weight_only_quant_plugin</span><span class="p">:</span>
|
||
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
|
||
<span class="s2">"Manage weights of weight only quant works only with plugin currently."</span>
|
||
<span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="n">use_weight_only</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">disable_weight_only_quant_plugin</span><span class="p">:</span>
|
||
<span class="k">if</span> <span class="n">per_group</span><span class="p">:</span>
|
||
<span class="n">network</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">weight_only_groupwise_quant_matmul_plugin</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span>
|
||
<span class="k">else</span><span class="p">:</span>
|
||
<span class="n">network</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">weight_only_quant_matmul_plugin</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span>
|
||
<span class="k">if</span> <span class="n">use_smooth_quant</span> <span class="ow">and</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">quantization</span><span class="o">.</span><span class="n">_use_plugin_sq</span> <span class="ow">and</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">smooth_quant_plugins</span><span class="p">:</span>
|
||
<span class="n">network</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">set_smooth_quant_plugins</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">use_qserve</span><span class="p">:</span>
|
||
<span class="n">network</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">set_qserve_plugins</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
|
||
<span class="k">if</span> <span class="n">use_fp8_rowwise</span><span class="p">:</span>
|
||
<span class="n">network</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">set_fp8_rowwise_quant_plugins</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span><span class="p">)</span>
|
||
<span class="n">nccl_plugin</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span> <span class="k">if</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">mapping</span><span class="o">.</span><span class="n">world_size</span> <span class="o">></span> <span class="mi">1</span> <span class="k">else</span> <span class="kc">None</span>
|
||
<span class="n">network</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">set_nccl_plugin</span><span class="p">(</span><span class="n">nccl_plugin</span><span class="p">)</span>
|
||
|
||
<span class="k">with</span> <span class="n">net_guard</span><span class="p">(</span><span class="n">network</span><span class="p">):</span>
|
||
<span class="c1"># Prepare</span>
|
||
<span class="n">network</span><span class="o">.</span><span class="n">set_named_parameters</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">named_parameters</span><span class="p">())</span>
|
||
|
||
<span class="c1"># Forward</span>
|
||
<span class="n">prepare_input_args</span> <span class="o">=</span> <span class="p">{</span>
|
||
<span class="s2">"max_batch_size"</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_batch_size</span><span class="p">,</span>
|
||
<span class="s2">"max_input_len"</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_input_len</span><span class="p">,</span>
|
||
<span class="s2">"max_seq_len"</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span><span class="p">,</span>
|
||
<span class="s2">"use_cache"</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">kv_cache_type</span> <span class="o">!=</span> <span class="n">KVCacheType</span><span class="o">.</span><span class="n">DISABLED</span><span class="p">,</span>
|
||
<span class="s2">"max_beam_width"</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_beam_width</span><span class="p">,</span>
|
||
<span class="s2">"max_num_tokens"</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_num_tokens</span><span class="p">,</span>
|
||
<span class="s2">"opt_num_tokens"</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">opt_num_tokens</span><span class="p">,</span>
|
||
<span class="s2">"prompt_embedding_table_size"</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_prompt_embedding_table_size</span><span class="p">,</span>
|
||
<span class="s2">"max_draft_len"</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">max_draft_len</span><span class="p">,</span>
|
||
<span class="s2">"speculative_decoding_draft_tokens_external"</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">speculative_decoding_mode</span> <span class="o">==</span>
|
||
<span class="n">SpeculativeDecodingMode</span><span class="o">.</span><span class="n">DRAFT_TOKENS_EXTERNAL</span><span class="p">,</span>
|
||
<span class="s2">"gather_context_logits"</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">gather_context_logits</span><span class="p">,</span>
|
||
<span class="s2">"lora_target_modules"</span><span class="p">:</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">lora_config</span><span class="o">.</span><span class="n">lora_target_modules</span>
|
||
<span class="p">}</span>
|
||
|
||
<span class="k">if</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">architecture</span> <span class="o">==</span> <span class="s2">"DecoderModel"</span> <span class="ow">or</span> <span class="s2">"mllama"</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">architecture</span><span class="o">.</span><span class="n">lower</span><span class="p">(</span>
|
||
<span class="p">):</span>
|
||
<span class="n">prepare_input_args</span><span class="p">[</span><span class="s2">"max_seq_len"</span><span class="p">]</span> <span class="o">=</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_seq_len</span>
|
||
<span class="n">prepare_input_args</span><span class="p">[</span>
|
||
<span class="s2">"max_decoder_input_len"</span><span class="p">]</span> <span class="o">=</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_input_len</span>
|
||
<span class="n">prepare_input_args</span><span class="p">[</span>
|
||
<span class="s2">"max_encoder_input_len"</span><span class="p">]</span> <span class="o">=</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_encoder_input_len</span>
|
||
|
||
<span class="k">if</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">architecture</span> <span class="o">==</span> <span class="s2">"WhisperEncoder"</span><span class="p">:</span>
|
||
|
||
<span class="n">prepare_input_args</span> <span class="o">=</span> <span class="p">{</span>
|
||
<span class="s2">"max_batch_size"</span><span class="p">:</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_batch_size</span><span class="p">,</span>
|
||
<span class="p">}</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">speculative_decoding_mode</span> <span class="o">==</span> <span class="n">SpeculativeDecodingMode</span><span class="o">.</span><span class="n">EAGLE</span><span class="p">:</span>
|
||
<span class="n">prepare_input_args</span><span class="p">[</span>
|
||
<span class="s2">"spec_decoding_is_generation_length_variable"</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
|
||
<span class="k">assert</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_batch_size</span> <span class="o"><=</span> <span class="mi">512</span><span class="p">,</span> <span class="s2">"Max batch size > 512 is not supported for EAGLE"</span>
|
||
<span class="k">assert</span> <span class="n">build_config</span><span class="o">.</span><span class="n">max_draft_len</span> <span class="o"><=</span> <span class="mi">256</span><span class="p">,</span> <span class="s2">"Max draft len > 256 is not supported for EAGLE"</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">speculative_decoding_mode</span> <span class="o">==</span> <span class="n">SpeculativeDecodingMode</span><span class="o">.</span><span class="n">LOOKAHEAD_DECODING</span><span class="p">:</span>
|
||
<span class="n">prepare_input_args</span><span class="p">[</span>
|
||
<span class="s2">"spec_decoding_is_generation_length_variable"</span><span class="p">]</span> <span class="o">=</span> <span class="kc">True</span>
|
||
<span class="k">if</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">architecture</span> <span class="o">==</span> <span class="s2">"Qwen2VLForConditionalGeneration"</span> <span class="ow">or</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">architecture</span> <span class="o">==</span> <span class="s2">"Qwen2VLModel"</span><span class="p">:</span>
|
||
<span class="n">prepare_input_args</span><span class="p">[</span>
|
||
<span class="s1">'mrope_rotary_cos_sin_size'</span><span class="p">]</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">max_position_embeddings</span> <span class="o">*</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">rotary_embedding_dim</span>
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">speculative_decoding_mode</span> <span class="o">==</span> <span class="n">SpeculativeDecodingMode</span><span class="o">.</span><span class="n">EAGLE</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_paged_context_fmha</span><span class="p">:</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">warning</span><span class="p">(</span>
|
||
<span class="s2">"Paged Context FMHA is required for EAGLE. Turning it on"</span><span class="p">)</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">use_paged_context_fmha</span> <span class="o">=</span> <span class="kc">True</span>
|
||
|
||
<span class="n">inputs</span> <span class="o">=</span> <span class="n">model</span><span class="o">.</span><span class="n">prepare_inputs</span><span class="p">(</span><span class="o">**</span><span class="n">prepare_input_args</span><span class="p">)</span>
|
||
<span class="n">model</span><span class="p">(</span><span class="o">**</span><span class="n">inputs</span><span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">enable_debug_output</span><span class="p">:</span>
|
||
<span class="k">for</span> <span class="n">k</span><span class="p">,</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">model</span><span class="o">.</span><span class="n">named_network_outputs</span><span class="p">():</span>
|
||
<span class="n">network</span><span class="o">.</span><span class="n">_mark_output</span><span class="p">(</span><span class="n">v</span><span class="p">,</span> <span class="n">k</span><span class="p">,</span> <span class="n">str_dtype_to_trt</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">dtype</span><span class="p">))</span>
|
||
|
||
<span class="k">if</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">architecture</span> <span class="o">!=</span> <span class="s2">"DecoderModel"</span><span class="p">:</span>
|
||
<span class="n">optimize</span><span class="p">(</span><span class="n">network</span><span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="n">use_auto_parallel</span><span class="p">:</span>
|
||
<span class="n">config</span> <span class="o">=</span> <span class="n">build_config</span><span class="o">.</span><span class="n">auto_parallel_config</span>
|
||
<span class="n">config</span><span class="o">.</span><span class="n">builder_flags</span> <span class="o">=</span> <span class="n">builder_config</span><span class="o">.</span><span class="n">trt_builder_config</span><span class="o">.</span><span class="n">flags</span>
|
||
<span class="n">sharded_networks</span> <span class="o">=</span> <span class="n">auto_parallel</span><span class="p">(</span><span class="n">network</span><span class="p">,</span> <span class="n">config</span><span class="p">)</span>
|
||
<span class="n">network</span> <span class="o">=</span> <span class="n">sharded_networks</span><span class="p">[</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">mapping</span><span class="o">.</span><span class="n">rank</span><span class="p">]</span>
|
||
<span class="k">if</span> <span class="ow">not</span> <span class="n">build_config</span><span class="o">.</span><span class="n">auto_parallel_config</span><span class="o">.</span><span class="n">debug_mode</span><span class="p">:</span>
|
||
<span class="n">mapping</span> <span class="o">=</span> <span class="n">network</span><span class="o">.</span><span class="n">auto_parallel_config</span><span class="p">[</span><span class="s2">"mapping"</span><span class="p">]</span>
|
||
<span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">mapping</span> <span class="o">=</span> <span class="n">mapping</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">visualize_network</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
|
||
<span class="k">with</span> <span class="n">net_guard</span><span class="p">(</span><span class="n">network</span><span class="p">):</span>
|
||
<span class="n">network</span><span class="o">.</span><span class="n">to_onnx</span><span class="p">(</span><span class="n">build_config</span><span class="o">.</span><span class="n">visualize_network</span><span class="p">)</span>
|
||
|
||
<span class="c1"># Network -> Engine</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s2">"Total time of constructing network from module object </span><span class="si">{</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span><span class="o">-</span><span class="n">tic</span><span class="si">}</span><span class="s2"> seconds"</span>
|
||
<span class="p">)</span>
|
||
<span class="n">managed_weights</span> <span class="o">=</span> <span class="p">{}</span> <span class="k">if</span> <span class="n">network</span><span class="o">.</span><span class="n">plugin_config</span><span class="o">.</span><span class="n">manage_weights</span> <span class="k">else</span> <span class="kc">None</span>
|
||
<span class="n">engine</span> <span class="o">=</span> <span class="kc">None</span> <span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">dry_run</span> <span class="k">else</span> <span class="n">builder</span><span class="o">.</span><span class="n">build_engine</span><span class="p">(</span>
|
||
<span class="n">network</span><span class="p">,</span> <span class="n">builder_config</span><span class="p">,</span> <span class="n">managed_weights</span><span class="p">)</span>
|
||
<span class="n">engine_config</span> <span class="o">=</span> <span class="n">EngineConfig</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="p">,</span> <span class="n">build_config</span><span class="p">,</span> <span class="n">__version__</span><span class="p">)</span>
|
||
|
||
<span class="k">if</span> <span class="n">build_config</span><span class="o">.</span><span class="n">output_timing_cache</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">model</span><span class="o">.</span><span class="n">config</span><span class="o">.</span><span class="n">mapping</span><span class="o">.</span><span class="n">rank</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
||
<span class="n">ok</span> <span class="o">=</span> <span class="n">builder</span><span class="o">.</span><span class="n">save_timing_cache</span><span class="p">(</span><span class="n">builder_config</span><span class="p">,</span>
|
||
<span class="n">build_config</span><span class="o">.</span><span class="n">output_timing_cache</span><span class="p">)</span>
|
||
<span class="k">assert</span> <span class="n">ok</span><span class="p">,</span> <span class="s2">"Failed to save timing cache."</span>
|
||
|
||
<span class="kn">import</span><span class="w"> </span><span class="nn">psutil</span>
|
||
|
||
<span class="c1"># Get the current process</span>
|
||
<span class="n">current_process</span> <span class="o">=</span> <span class="n">psutil</span><span class="o">.</span><span class="n">Process</span><span class="p">()</span>
|
||
<span class="c1"># Get resource usage for the current process (self)</span>
|
||
<span class="n">rusage_s</span> <span class="o">=</span> <span class="n">current_process</span><span class="o">.</span><span class="n">memory_info</span><span class="p">()</span>
|
||
<span class="c1"># Get resource usage for all child processes</span>
|
||
<span class="n">children</span> <span class="o">=</span> <span class="n">current_process</span><span class="o">.</span><span class="n">children</span><span class="p">(</span><span class="n">recursive</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
||
<span class="n">rusage_c</span> <span class="o">=</span> <span class="p">[</span><span class="n">child</span><span class="o">.</span><span class="n">memory_info</span><span class="p">()</span> <span class="k">for</span> <span class="n">child</span> <span class="ow">in</span> <span class="n">children</span><span class="p">]</span>
|
||
<span class="n">logger</span><span class="o">.</span><span class="n">info</span><span class="p">(</span>
|
||
<span class="sa">f</span><span class="s2">"Build phase peak memory: </span><span class="si">{</span><span class="n">rusage_s</span><span class="o">.</span><span class="n">rss</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="mi">1024</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="mi">1024</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2"> MB, children: </span><span class="si">{</span><span class="nb">sum</span><span class="p">([</span><span class="n">ru</span><span class="o">.</span><span class="n">rss</span><span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">ru</span><span class="w"> </span><span class="ow">in</span><span class="w"> </span><span class="n">rusage_c</span><span class="p">])</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="mi">1024</span><span class="w"> </span><span class="o">/</span><span class="w"> </span><span class="mi">1024</span><span class="si">:</span><span class="s2">.2f</span><span class="si">}</span><span class="s2"> MB"</span>
|
||
<span class="p">)</span>
|
||
|
||
<span class="k">return</span> <span class="n">Engine</span><span class="p">(</span><span class="n">engine_config</span><span class="p">,</span> <span class="n">engine</span><span class="p">,</span> <span class="n">managed_weights</span><span class="p">)</span>
|
||
</pre></div>
|
||
|
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</article>
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