PyTorch OpenVINO 开发实战系列教程第一篇## PyTorch + OpenVINO 开发实战系列教程 第一篇  ## 目录 概述.....1 1. Pytorch 介绍与基础知识.....2 1.1 Pytorch 介绍.....2 1.1.1 Pytorch 的例子，帮助大家真正打开 Pytorch 框架开发的大门。本章的目标是帮助初学者厘清深度学习框架基本概念、基础组件与基础数据操作、同时通过案例激发起大家进一步学习的兴趣。 如欲了解更多 OpenVINO $ ^{™} $ 开发资料， 请扫描下方二维码，我们会把最新资料及时推送给您。  ## Why choosing TVM for our deployment? 1. OpenVino a black box, can not deploy our network(with depthwise conv2d,) 2. TVM can not only deploy our0 码力 | 6 页 | 1.96 MB | 1 年前3
- vLLM v0.5.3.post1 DocumentationInstallation with OpenVINO vLLM powered by OpenVINO supports all LLM models from vLLM supported models list and can perform optimal model serving on all x86-64 CPUs with, at least, AVX2 support. OpenVINO vLLM backend ## 1.3.2 Quick start using Dockerfile $ docker build -f Dockerfile.openvino -t vllm-openvino-env . $ docker run -it --rm vllm-openvino-env ## 1.3.3 Install from source - First, install Python. For example $ sudo apt-get update -y $ sudo apt-get install python3 - Second, install prerequisites vLLM OpenVINO backend installation: $ pip install --upgrade pip $ pip install -r requirements-build.txt --extra-index-url0 码力 | 143 页 | 1.07 MB | 3 月前3
- vLLM v0.5.3 DocumentationInstallation with OpenVINO vLLM powered by OpenVINO supports all LLM models from vLLM supported models list and can perform optimal model serving on all x86-64 CPUs with, at least, AVX2 support. OpenVINO vLLM backend ## 1.3.2 Quick start using Dockerfile $ docker build -f Dockerfile.openvino -t vllm-openvino-env . $ docker run -it --rm vllm-openvino-env ## 1.3.3 Install from source - First, install Python. For example $ sudo apt-get update -y $ sudo apt-get install python3 - Second, install prerequisites vLLM OpenVINO backend installation: $ pip install --upgrade pip $ pip install -r requirements-build.txt --extra-index-url0 码力 | 143 页 | 1.07 MB | 3 月前3
- vLLM v0.5.1 DocumentationInstallation with OpenVINO vLLM powered by OpenVINO supports all LLM models from vLLM supported models list and can perform optimal model serving on all x86-64 CPUs with, at least, AVX2 support. OpenVINO vLLM backend ## 1.3.2 Quick start using Dockerfile $ docker build -f Dockerfile.openvino -t vllm-openvino-env . $ docker run -it --rm vllm-openvino-env ## 1.3.3 Install from source - First, install Python. For example $ sudo apt-get update -y $ sudo apt-get install python3 - Second, install prerequisites vLLM OpenVINO backend installation: $ pip install --upgrade pip $ pip install -r requirements-build.txt --extra-index-url0 码力 | 162 页 | 1.14 MB | 3 月前3
- vLLM v0.5.4 DocumentationInstallation with OpenVINO vLLM powered by OpenVINO supports all LLM models from vLLM supported models list and can perform optimal model serving on all x86-64 CPUs with, at least, AVX2 support. OpenVINO vLLM backend ## 1.3.2 Quick start using Dockerfile $ docker build -f Dockerfile.openvino -t vllm-openvino-env . $ docker run -it --rm vllm-openvino-env ## 1.3.3 Install from source - First, install Python. For example $ sudo apt-get update -y $ sudo apt-get install python3 - Second, install prerequisites vLLM OpenVINO backend installation: $ pip install --upgrade pip $ pip install -r requirements-build.txt --extra-index-url0 码力 | 152 页 | 1.10 MB | 3 月前3
- vLLM v0.5.2 DocumentationInstallation with OpenVINO vLLM powered by OpenVINO supports all LLM models from vLLM supported models list and can perform optimal model serving on all x86-64 CPUs with, at least, AVX2 support. OpenVINO vLLM backend ## 1.3.2 Quick start using Dockerfile $ docker build -f Dockerfile.openvino -t vllm-openvino-env . $ docker run -it --rm vllm-openvino-env ## 1.3.3 Install from source - First, install Python. For example $ sudo apt-get update -y $ sudo apt-get install python3 - Second, install prerequisites vLLM OpenVINO backend installation: $ pip install --upgrade pip $ pip install -r requirements-build.txt --extra-index-url0 码力 | 166 页 | 1.15 MB | 3 月前3
- vLLM v0.5.5 DocumentationInstallation with OpenVINO vLLM powered by OpenVINO supports all LLM models from vLLM supported models list and can perform optimal model serving on all x86-64 CPUs with, at least, AVX2 support. OpenVINO vLLM backend ## 1.3.2 Quick start using Dockerfile $ docker build -f Dockerfile.openvino -t vllm-openvino-env . $ docker run -it --rm vllm-openvino-env ## 1.3.3 Install from source - First, install Python. For example $ sudo apt-get update -y $ sudo apt-get install python3 - Second, install prerequisites vLLM OpenVINO backend installation: $ pip install --upgrade pip $ pip install -r requirements-build.txt --extra-index-url0 码力 | 193 页 | 1.22 MB | 3 月前5
- vLLM v0.6.0 DocumentationInstallation with OpenVINO vLLM powered by OpenVINO supports all LLM models from vLLM supported models list and can perform optimal model serving on all x86-64 CPUs with, at least, AVX2 support. OpenVINO vLLM backend ## 1.3.2 Quick start using Dockerfile $ docker build -f Dockerfile.openvino -t vllm-openvino-env . $ docker run -it --rm vllm-openvino-env ## 1.3.3 Install from source - First, install Python. For example $ sudo apt-get update -y $ sudo apt-get install python3 - Second, install prerequisites vLLM OpenVINO backend installation: $ pip install --upgrade pip $ pip install -r requirements-build.txt --extra-index-url0 码力 | 201 页 | 1.26 MB | 3 月前3
- vLLM v0.6.1.post2 DocumentationInstallation with OpenVINO vLLM powered by OpenVINO supports all LLM models from vLLM supported models list and can perform optimal model serving on all x86-64 CPUs with, at least, AVX2 support. OpenVINO vLLM backend ## 1.3.2 Quick start using Dockerfile $ docker build -f Dockerfile.openvino -t vllm-openvino-env . $ docker run -it --rm vllm-openvino-env ## 1.3.3 Install from source - First, install Python. For example $ sudo apt-get update -y $ sudo apt-get install python3 - Second, install prerequisites vLLM OpenVINO backend installation: $ pip install --upgrade pip $ pip install -r requirements-build.txt --extra-index-url0 码力 | 215 页 | 1.29 MB | 3 月前3
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