File "/opt/vitis_ai/conda/envs/vitis-ai-wego-torch/lib/python3.7/site-packages/wego_torch/quantizer.py", line 130, in quantize for b_idx, batch in tqdm(enumerate(dataloader), total=len(dataloader)): File "/opt/
>> cd Vitis-AI >> docker pull xilinx/vitis-ai-<Framework>-<Arch>:latest 你需要按照下表按需填入参数: | <Framework> | <Arch> | 描述 | | :---: | :---: | :--- | | pytorch | cpu | CPU 版本的 pytorch | | tensorflow2 | cpu | CPU 版本的 tensorflow2 | | tensorflow | cpu ...
dependabot/maven/Vitis-AI-Quantizer/vai_q_tensorflow/tensorflow/java/maven/spark-tensorflow-connector/junit-junit-4.13.1 1.2.1 v1.2.1-old1 1.2 1.1 1.0 v1.4.1 v1.4 v1.3.2 v1.3.1 v1.3 v1.2.1 v1.2 v1.1-ultra96v2 v1.1 v1.0
ResNet18 in PyTorch from Vitis AI Library3.5In this Deep Learning (DL) tutorial, you will take the ResNet18 CNN, from the Vitis AI 3.5 PyTorch Library, and use it to classify the different colors of the "car object" inside images by running the inference application on FPGA devices. Sup...
Vitis In-Depth Tutorials C1.4k568 brevitasbrevitasPublic Brevitas: neural network quantization in PyTorch Python1.3k216 Vivado-Design-TutorialsVivado-Design-TutorialsPublic Tcl21078 Repositories Type Language Sort mlir-aiePublic An MLIR-based toolchain for AMD AI Engine-enabled devices. ...
对于开发者社区,Vitis Video 还提供了通用基础设施插件、软件加速库和简化界面等形式的框架,供用户开发自己的加速库来控制自定义硬件加速器。借助此框架,用户可以轻松地将其自定义加速器/内核集成到 Vitis Video Analytics SDK 中。它构建在 Xilinx Run Time (XRT)、Vitis 和 Vitis AI 之上,并抽象了这些复杂的接口...
docker pull xilinx/vitis-ai-pytorch-cpu:latest 查询系统中存在的容器 docker images 启动容器。 根据DPU型号设置vck5000脚本,脚本在setup_board/vck5000目录下 source ./setup.sh DPUCVDX8H_4pe_miscdwc source ./setup.sh DPUCVDX8H_6pe_dwc
Mr.Paper/Vitis-AI 代码Issues0Pull Requests0Wiki统计流水线 服务 加入Gitee 与超过 1200万 开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :) 免费加入 已有帐号?立即登录 master master dependabot/maven/Vitis-AI-Quantizer/vai_q_tensorflow/tensorflow/java/maven/tensorflow-hadoop/junit-junit-4.13.1 ...
CPU Docker Use below commands to build the CPU docker: cd setup/docker ./docker_build_cpu.sh To run the CPU docker, use command: ./docker_run.sh xilinx/vitis-ai-cpu:latest GPU Docker Use below commands to build the GPU docker: cd setup/docker ./docker_build_gpu.sh To run the...
Pull Vitis AI Docker For this quickstart tutorial we will simply use the pre-built Vitis AI PyTorch CPU Docker. It is generic, does not require the user to build the container, and has no specific GPU enablement requirements. More advanced users can optionally skip this step and jump to the...