File Archives for /COMMODORE/8088_CO-PROCESSOR/

本文档汇总了关于Commodore计算机中使用的8088协处理器的相关资料,包括MS-DOS与CPM系统的图片资料及详细的电路图PDF文件。
The command `cd kernel; /usr/bin/make -k -j4 NV_EXCLUDE_KERNEL_MODULES="" SYSSRC="/lib/modules/6.11.0-25-generic/build" SYSOUT="/lib/modules/6.11.0-25-generic/build" NV_KERNEL_MODULES="nvidia"` failed with the following output: make[1]: Entering directory '/usr/src/linux-headers-6.11.0-25-generic' ld -r -o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-interface.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-pci.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-dmabuf.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-nano-timer.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-acpi.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-cray.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-dma.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-i2c.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-mmap.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-p2p.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-pat.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-procfs.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-usermap.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-vm.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-vtophys.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/os-interface.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/os-mlock.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/os-pci.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/os-registry.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/os-usermap.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-modeset-interface.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-pci-table.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-kthread-q.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-memdbg.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-report-err.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-rsync.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-msi.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-caps.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-caps-imex.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv-host1x.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nv_uvm_interface.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/libspdm_aead.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/libspdm_ecc.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/libspdm_hkdf.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/libspdm_rand.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/libspdm_shash.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/libspdm_rsa.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/libspdm_aead_aes_gcm.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/libspdm_sha.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/libspdm_hmac_sha.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/libspdm_internal_crypt_lib.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/libspdm_hkdf_sha.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/libspdm_ec.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/libspdm_x509.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/libspdm_rsa_ext.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nvlink_linux.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/nvlink_caps.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/linux_nvswitch.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/procfs_nvswitch.o /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia/i2c_nvswitch.o LD [M] /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia.o ld: /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia.o: final close failed: No space left on device make[3]: *** [scripts/Makefile.build:443: /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/nvidia.o] Error 1 make[3]: Target '/tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel/' not remade because of errors. make[2]: *** [/usr/src/linux-headers-6.11.0-25-generic/Makefile:1932: /tmp/selfgz6005/NVIDIA-Linux-x86_64-570.169/kernel] Error 2 make[2]: Target 'modules' not remade because of errors.
06-29
### 错误信息分析 在执行 NVIDIA 内核模块编译时,出现如下错误: ``` The command cd kernel; /usr/bin/make -k -j4 NV_EXCLUDE_KERNEL_MODULES="" SYSSRC="/lib/modules/6.11.0-25-generic/build" SYSOUT="/lib/modules/6.11.0-25-generic/build" NV_KERNEL_MODULES="nvidia" failed with error: ld: final close failed: No space left on device ``` 该错误表明在链接(`ld`)阶段,由于**磁盘空间不足**导致操作失败。这是典型的构建过程中资源耗尽问题,通常发生在 `/tmp` 或内核源码构建目录所在的文件系统上[^1]。 --- ### 可能原因与解决方法 #### 1. 磁盘空间不足 NVIDIA 驱动模块的编译过程会生成大量临时文件,尤其是在使用 `-j` 多线程并行编译时,临时文件体积可能迅速增长。请检查以下路径的可用空间: ```bash df -h / df -h /tmp df -h /var/lib/dkms ``` 若发现空间不足,可采取以下措施: - 清理不必要的日志和缓存文件: ```bash sudo apt-get clean sudo rm -rf /var/cache/apt/archives/* sudo rm -rf /tmp/* ``` - 将 `/tmp` 挂载为更大的 tmpfs 或使用符号链接指向具有足够空间的分区[^1]。 #### 2. 文件系统损坏或只读挂载 如果文件系统损坏或被挂载为只读,也可能导致 `ld` 无法写入输出文件。可以尝试重新挂载相关分区为可写: ```bash sudo mount -o remount,rw /tmp ``` 并检查文件系统一致性: ```bash sudo fsck /dev/sdXn # 替换为实际设备名 ``` #### 3. 编译参数优化 减少并行编译线程数(即降低 `-j` 参数值),例如从 `-j4` 改为 `-j1`,可以降低对磁盘 I/O 和临时空间的压力: ```bash cd kernel; /usr/bin/make -k -j1 NV_EXCLUDE_KERNEL_MODULES="" SYSSRC="/lib/modules/6.11.0-25-generic/build" SYSOUT="/lib/modules/6.11.0-25-generic/build" NV_KERNEL_MODULES="nvidia" ``` 此外,也可以通过设置环境变量 `TMPDIR` 指定更大的临时目录: ```bash export TMPDIR=/path/to/large/tmpdir ``` --- ### 补充建议 - 查看 `/var/lib/dkms/nvidia/<version>/build/make.log` 文件,获取更详细的编译日志,有助于定位具体出错位置。 - 若频繁遇到磁盘空间不足问题,建议增加 `/` 分区或 `/tmp` 的容量,或者在安装前预留专门的构建空间。 - 如果系统运行在虚拟机中,确保分配了足够的磁盘空间,并启用动态扩展功能(如 VDI 格式支持)。 ---
评论 1
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值