phial3

Networks unimplemented on the qemu driver on Linux

15

➜ ~ multipass launch --cpus 2 --mem 1G --name meta01 --network bridged 21.10 launch failed: The bridging feature is not implemented on this backend. ➜ ~ multipass networks networks failed:...

[编译问题] 建议修改项目构建目录命令(必填)

2

### 相关日志及环境信息 **清除编译缓存后，完整执行 cmake && make 命令的输出** 展开查看详细编译日志 ``` ``` 编译目录下的 `CMakeCache.txt` 文件内容，请直接上传为附件。 ### 各种环境信息 建议构建目录命名加上系统架构，比如我本地 macOS，需要构建 Linux 可用的arm64和x86_64执行文件，容易混乱和搞错 * **代码提交记录/git commit hash**: * **操作系统及版本**: * **硬件信息**: * **其他需要补充的信息**:

问一下这个依赖在哪里呢

docker image `rustembedded/osdev-utils:2021.12` unsupported for raspi4 and raspi5

1

in `Makefile` change `QEMU_MACHINE_TYPE = raspi4b` then ```bash make test BSP=rpi4 ``` error: ```text Boot test - rpi4 docker run -t --rm -v /Users/admin/Workspace/rust/github.com/rust-raspberrypi-OS-tutorials/04_safe_globals:/work/tutorial -w /work/tutorial -v /Users/admin/Workspace/rust/github.com/rust-raspberrypi-OS-tutorials/04_safe_globals/../common:/work/common rustembedded/osdev-utils:2021.12 ruby...

[错误报告]: JDK8 + springboot-2.7.18 + mybatis-plus-3.5.8 编译错误：jsqlparser 5.0 不支持, 是 JDK 的问题吗，JDK暂时不能升级

6

### 确认 - [X] 我使用的版本是[最新版](https://central.sonatype.com/search?q=g:com.baomidou%20%20a:mybatis-plus&smo=true), 并且使用插件确认过项目里无依赖版本冲突 - [X] 我已经在 [issue](https://github.com/baomidou/mybatis-plus/issues) 中搜索过, 确认问题没有被提出过 - [X] 我已经修改标题, 将标题中的 描述 替换为遇到的问题 ### 当前程序版本 3.5.8 ### 问题描述 ```text bad class file: /Users/admin/.m2/repository/com/github/jsqlparser/jsqlparser/5.0/jsqlparser-5.0.jar(net/sf/jsqlparser/JSQLParserException.class) class file...

`cargo run --example 01-allocate` error: `Error: DriverError(CUDA_ERROR_NO_DEVICE, "no CUDA-capable device is detected")`

11

What's wrong with it? ```bash root@73624c6f4c4e:/code/cudarc# nvcc -V nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2023 NVIDIA Corporation Built on Tue_Aug_15_22:02:13_PDT_2023 Cuda compilation tools, release 12.2, V12.2.140 Build cuda_12.2.r12.2/compiler.33191640_0...

Discussion: Model Inference Optimization Techniques for Real-Time Streaming Pipeline​

5

1. ​Hardware-Accelerated Video Decoding​ When enabled `ffmpeg` features with hardware acceleration support, the DataLoader's decoder should prioritize hardware-accelerated backends (eg: `nvdec/cuvid` for NVIDIA GPUs, `qsv` for Intel GPUs). As an...